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Archive for category: Featured Articles

Featured Articles

Emergency radiology – has CT growth peaked ?

, 26 August 2020/in Featured Articles /by 3wmedia

Since the late 1990s, emergency radiology has become one of the fastest developing areas of medicine. It is now commonplace not only in Europe, the US and Japan but also in major urban centres of several developing countries.
The appropriate use of emergency radiology expedites patient care, prevents unnecessary hospital admissions and emergency surgery and therefore reduces costs.

Sub-specialty of radiology
Formally, emergency radiology is a relatively new sub-specialty of radiology. It is defined by the imaging and subsequent management of trauma patients, as well as those who are acutely ill. In effect, it is associated with real-time diagnostic imaging and online interpretation of data, which are conducted and completed in the ED setting itself. Emergency radiologists, on their part, need to be available and provide interpretations of imaging around the clock, including all off-hours shifts.

Professional societies set up very recently
The American Society of Emergency Radiology (ASER) was founded in 1988, with a mission to ‘advance the quality of diagnosis and treatment of acutely ill or injured patients by means of medical imaging and to enhance teaching and research in emergency radiology.’ ASER publishes the journal Emergency Radiology’ and has more than 700 members, both from the US and overseas.
The European Society of Emergency Radiology (ESER) was established in 2011, or over a decade later than its US counterpart. Based in Vienna, ESER seeks to foster education and training in emergency radiology, and collaborate both with the ASER and the British Society of Emergency Radiology (BSER), which was set up in 2014.

Radiography and fluoroscopy: limitations

Traditionally, ED imaging consisted of radiography and fluoroscopy. The procedure began with chest, abdominal and skeletal radiographs, accompanied sometimes by intravenous urograms and barium examinations. Emergency angiography was used in patients with central nervous system or vascular conditions.
Many trauma patients were, however, unable to have completion of imaging examinations in the ED, and several presenting diagnostic uncertainty were admitted to the hospital for fluoroscopic or angiographic procedures.

CT impact dramatic
Emergency medicine practice was revolutionized in the 1990s by the increase in availability of ultrasound, MRI and above all, CT. In spite of some lingering concerns, the speed of CT dramatically altered the equation in emergency radiology. A whole-body trauma CT requires just two minutes, providing information about all major injuries to the head, spine, thorax, abdomen and pelvis and increasing the probability of survival for trauma patients.
These new imaging modalities effectively served to bridge emergency medicine and diagnosis. Dramatic improvements in image quality and acquisition times have since enhanced the role of radiology in diagnosis, and as a bridge to minimally invasive procedures.

Shortening TAT
Such developments, in turn, catalysed an increase in expectations, with emergency physicians demanding quick availability of all imaging modalities, high-quality imaging examinations, real-time 3D post-processing and round-the-clock service – in effect, shortened turn-around times (TAT).
It has for long been a maxim that care provided to a trauma patient in the first few hours can be critical in terms of predicting longer-term recovery and that good trauma care involves getting the patient to the right place at the right time for the right treatment.
Professional societies have anchored such thinking. For example, guidelines from the Royal College of Radiology in Britain recognize that in the overall management of the severely injured patient, ‘diagnostic and therapeutic radiology plays a pivotal role’, although it is but a small part of ‘the whole management process.’

CT poses logistical challenges
Accompanying the increased emphasis on TAT and demands from physicians, emergency radiology facilities began to steadily reduce conventional radiography or replace it with digital X-ray. Instead, CT began to be moved to emergency departments. For example, the Royal College of Radiology guidelines mentioned above specify that CT should be adjacent to, or in, the emergency room (Standard 3) and that digital radiography should be available in the emergency room (Standard 4).
The move to relocate CT has also been driven by a need to reverse some of the major problems associated with scanners in a hospital-based trauma setting – the result of a combination of high technology and poor logistics.
Logistical problems centred upon the need for optimal location of a scanner and the capacity to receive severely injured patients within a very short period of time. This, in turn, required the availability of sufficient radiographers, a seasoned transfer procedure and resuscitation teams to be familiar with a CT environment and ready to accompany the patient during the scan.
Most traditional’ hospitals, dating back to the radiography and fluoroscopy era, were unable to cope with the dramatic changes which CT brought – above all in speed and imaging data sensitivity. This resulted in serious bottlenecks in workflow, which impacted adversely on patient outcomes.
Such shortcomings were enhanced by spikes in the volume of patient visits – e.g. during weekends and over holidays – when accident rates are far higher.

New standards for emergency radiology
To help CT relocate and become more efficient, emergency radiology facilities are being subject to exacting, new standards.
For example, the University of Amsterdam’s Academic Medical Centre (AMC) has been designed to enhance workflow efficiency and prevent dangers in the transfer of critically ill patients, while avoiding or reducing delays for non-emergency patients with scheduled appointments in the radiology department. By enabling proper equipment, transfer and support, AMC has sought to address concerns in emergency departments that, in spite of its benefits, CT might be a dangerous place for the critically ill. This was largely due to perceived limits in ventilation, resuscitation and monitoring during scanning.
One of the most visible innovations at the AMC is a sliding CT gantry on rails which serves two emergency rooms. A radiation-shielding wall closes behind the gantry, allowing the scan to be performed feet-first so IV-lines and monitors do not have to be re-positioned.
In terms of staffing, emergency radiologists at AMC are supported by a dedicated anesthesiologist who initiates ventilation, surgical residents or nurses to insert chest tubes and and radiology residents to help interpret the imaging data. This team interfaces with the trauma surgeon.

Staffing issues
Non-physician staffing is also crucial to an efficient emergency radiology facility. These range from technicians, supervisors and ED managers to receptionists, schedulers as well as ambulance personnel. State-of-the-art facilities strive to make such staff aware of the unique workflow and requirements of emergency imaging. For example, technicians need to have the skills to use different modalities and image multiple body parts. Beyond this, non-physician staff need also to be well versed in other, point-of-care medical equipment and manage a diverse range of patients – from the acutely ill to the pregnant, from children to the elderly.
A key role is also played by IT support staff, who need to be on call round-the-clock. Given the pressures to reduce TAT, they need to be well versed in RIS/PACS solutions and their suite of integrated tools, such as speech-to-text, 3D visualization, and others. More recently, IT professionals have also played a major role in data mining, in order to identify workflow bottlenecks and special situations.

Decision support tools
Another related and fast-emerging sphere consists of decision support tools, which communicate the clinical presentation, physical examination, and laboratory tests. They also confirm imaging appropriateness and selection of the optimal examination protocol.
Decision support is also seen as a means to reduce common causes of superfluous radiation in ED patients, for example, by avoiding repeat CTs (e.g. in referring hospitals). Indeed, one of the most closely-watched debates about emergency radiology concerns CT.

CT versus the rest
CT has undoubtedly been the centrepiece of the emergency radiology revolution. In 2016, a prospective study in Radiology’ showed that CT influenced the leading diagnoses in 25percent-50percent of patients and admission decisions in 20percent-25percent of patients.
Nevertheless, radiography continues to remain the most widely used imaging modality. In the US (for which data is available from a study in the American Journal of Roentgenology’ ), CT was used in 268 of 1,000 ED visits in 2012, compared to 76 for ultrasound, 64 for MRI, and 510 for X-ray.
The study, published in August 2014, also drew some other notable conclusions.
CT use in the ED peaked in 2005, while this happened two years later for MRI. Compared to 1993, CT use grew 457percent by 2005 and then declined by 49percent to 2012. For MRI, growth from 1993 to its 2007 peak was sharper, at 1,750percent, while the fall between 2007 and 2012 was 23percent, half the rate of CT. This was, nevertheless, from a much smaller user base, and as mentioned above, MRI use in the ED is outstripped more than 4-to-1 by CT (64 to 268 per 1,000 visits).
Ultrasound, on the other hand, has shown a steady but less remarkable increase in ED use between 1993 and 2012, by just 35percent. Conversely, although X-ray was used in over half ED visits in 2012, it has fallen steadily since 1993, by 26percent.

REACT-2: reality check for CT
Future trends in emergency radiology are likely to be heavily influenced by a randomized controlled trial trial at four hospitals in the Netherlands and one in Switzerland. Known as REACT-2, the trial sought to determine the effect of total-body CT scanning compared with standard work-up on patients with trauma and compromised vital parameters, clinical suspicion of life-threatening injuries, or severe injury.
The primary endpoint was in-hospital mortality, analysed in the intention-to-treat population and in subgroups of patients with polytrauma and those with traumatic brain injury.
Between April 2011 and Jan 1, 2014, the trial assessed 5,475 eligible patients and randomly assigned 1,403, 702 to immediate total-body CT scanning and 701 to the standard work-up. A total of 541 patients in the immediate total-body CT scanning group and 542 in the standard work-up group were included in the primary analysis. The study found that in-hospital mortality did not differ between groups.
As The Lancet’ reported on August 13, 2016, ‘Diagnosing patients with an immediate total-body CT scan does not reduce in-hospital mortality compared with the standard radiological work-up. Because of the increased radiation dose, future research should focus on the selection of patients who will benefit from immediate total-body CT.’

More MR?
Alongside such selection, it is also likely that there is an increase in demand for MR scanning in the ED, whose decline from its peak has been half the rate of CT (in the American Journal of Roentgenology’ study mentioned previously).
So far, MR is not indicated in an acute trauma care setting. In Britain, for example, Royal College of Radiology trauma radiology guidelines specify that MRI can be available in a different building. However, it states that ‘protocols should be in place for the transfer of critically injured patients if further management is dependent on MRI in the first 12 hours.’
Some of the benefits of MRI versus CT include acute musculoskeletal injuries, and in imaging of acute abdominal conditions in pregnant women and children.

https://interhospi.com/wp-content/uploads/sites/3/2020/08/IH140_Tosh_emergency-radiology_thematic_crop.jpg 169 300 3wmedia https://interhospi.com/wp-content/uploads/sites/3/2020/06/Component-6-–-1.png 3wmedia2020-08-26 14:18:122021-01-08 12:30:37Emergency radiology – has CT growth peaked ?

Microbotics – miniature machines and molecular motors open new vistas for medicine

, 26 August 2020/in Featured Articles /by 3wmedia

Microbotics (or micro-robotics) is a term that describes the emerging field of intelligent, miniaturized robotics. Biomedical microbotics offers a glimpse of a future where tiny, untethered devices (smaller than 1 mm in size) are inserted into patients via natural orifices or through extremely small incisions. Thereafter, they navigate autonomously through the bloodstream or inside fluids such as the vitreous humour in the eye cavity, targeting areas of interest with extreme precision.
Microbots aid medical professionals in earlier diagnosis and more effective treatment of diseases, delivering drugs to targets in the body, removing plaque deposits in the arteries or excising and repairing tissue at cellular levels – which are too small for direct manipulation.
One of the most exciting possibilities offered by medical microbotics is to enable wholly new therapies which have yet to be conceived, simply because of the lack of small, precision-access equipment.

MEMS and MST
Biomedical microbotics seeks to combine established techniques of robotics such as motion control, path planning, remote operation and sensor fusion with new tools enabled by miniaturized MEMS (Micro-Electro-Mechanical-Systems) technology, as it was known in the US; the European equivalent was micro-systems technology (MST).
Microbots are one outcome of the rapid growth in microcontroller capabilities in the 1990s, alongside the appearance of MEMS and development of high-efficiency Wi-Fi connections. MEMS, used for example in airbag sensors, opened the way for low-cost, low power consumption applications, while Wi-Fi allowed microbots to communicate and coordinate with other microbots.
Apart from coping with challenges on power and stretching the limits of material science, considerable research has also recently been focused on microbot communication. A good example of this is a 1,024 microbot swarm’ at Harvard University which spontaneously’ assembles itself into various shapes.

First endoscopic capsules date to mid-1990s
One of the first medical applications of microbotic technology was in the gastro-intestinal (GI) tract. The microbotic intervention in the mid-1990s, by an Italian team, was published in the book Sensors and Microsystems’ (World Scientific Publishing Co, Singapore, 1996) and consisted of endoscopic capsules which were simply swallowed by the patient. They captured video images as they moved naturally through the GI tract using in-built imaging and illumination systems.
In 2012, the U.S Food and Drug Administration (FDA) authorized a much smaller swallowable technology, namely a single-square-millimeter silicon circuit embedded inside a pharmaceutical pill, and produced by Proteus Digital Health.
Other researchers have proposed robotic systems with autonomous locomotion and biopsy capabilities. Some are tested, with models already on the market.

Sequel to MIS
In many senses, medical microbotics is a natural sequel to minimally invasive surgery (MIS), which has, since the 1980s, represented one of the key developments in medical technology. MIS resulted in a leap in patient recovery time and a sharp reduction in trauma.
Microbotics is expected to go even further, into what seems eerily close to the realms of science fiction.

From microgrippers to artificial bacteria
For example, researchers at Johns Hopkins University in Baltimore have developed microgrippers, The arms’ of these star-shaped devices, less than a millimeter in size from one tip to another, are temperature-sensitive grippers and react when exposed to body heat.
In sufficient numbers, they provide a less-invasive way to screen for colon cancer than a colonoscopy – which currently requires taking dozens of samples with forceps.
Moreover, when required, the arms can be closed around tissue, thereby performing what is effectively an automated biopsy.
One of the most dramatic demonstrations of microbotic miniaturization is at the Swiss Federal Institute of Technology in Zurich (ETH Zurich), where artificial bacterial flagella (ABF), about half as long as the thickness of a human hair, have been developed (See also page 23).
In initial experiments, ETH Zurich researchers have already made the ABFs transport polystyrene micro-spheres.

3D printing converges with miniaturization
New 3D printing technologies are now converging with miniaturization to open other frontiers for microbotics.
For example, the Nanoengineering Department at the University of California, San Diego (UCSD) have created 3D printed microbots in the form of a small fish (microfish), for sensing and detoxifying toxins. The microfish, with dimensions of just 120 x 30 microns, are designed for testing in applications such as directed drug delivery and microbot-assisted surgery.
UCSD researchers added a polymer nanoparticle (polydiacetylene) to capture pore-forming toxins, such as those found in the venoms of sea anemones, honeybees and spiders, in order to establish that the microfish could be both detoxification systems and toxin sensors. When the nanoparticles bound with toxin molecules, they became fluorescent and emitted red-coloured light, whose intensity correlated to their detoxification abilities.

Key design and engineering challenges
Technologically, key challenges faced by microbotics include design issues for in-vivo applications. The microbots need to be small and reliable, and equipped with all necessary tools and sub-systems on board. They must be inserted into, steered and removed from the target area of a patient’s body, non-invasively.
All this means a high degree of integration. MEMS devices were traditionally designed as components for insertion into larger electro-mechanical systems, along with physical interfacing for power supply and data input-output. In contrast, sub-millimetre sized medical microrobots must be manufactured in their final, operational and deployable form.

One emerging technology which seeks to address such challenges is known as Hybrid MEMS. It seeks to combine individual MEMS components through a robotic micro-assembly process, which brings together different manufacturing technologies such as lithography, nanosystems LIGA, Micro-Opto-Electro-Mechanical Systems (MOEMS) and 3D printing.

Materials and power
Apart from these kind of structural and miniaturization issues, other challenges of a robotic operation at microscopic scale consists of biocompatibility and power. The former has sought to be addressed with new generation MIS and implantable systems. However, few could underestimate the constraints of working in the human body – not only in terms of tracking precisely where a microbot is (especially in the vicinity of vital organs), but also making sure that it is neither toxic nor poses a threat of injuring tissue, while ensuring that it degrades safely or exits the body after completing its mission.
A key condition for effectiveness, therefore, is that microbots must have similar softness’ as biological tissues. This is where the difference with traditional robots is most stark. Rather than cogwheels and cranes, pistons and levers, designers of microbots are inspired by the tentacles of an octopus.
The provision of power for moving the microbot, gathering/transferring useful information and taking interventional action when necessary, is even more challenging. Microbots can use a small lightweight battery source or scavenge power from the surrounding environment in the form of vibration or light energy.
The Proteus ingestible pill authorized by the FDA in 2012 contains two electrode materials which become electrically connected when the circuitry comes into contact with the stomach’s gastric juice. For 5 or 10 minutes, the chip has enough power to modulate a current, transmitting a unique identifier code that can be picked up by an external skin patch.

An alternative to an on-board battery is to power the robots using externally induced power. Examples include the use of ex-vivo electromagnetic fields, ultrasound and light to activate and control micro robots. Researchers are now also focusing efforts on wireless power transfer, such as using radio waves from outside the body to generate electricity. However, this approach too faces limitations at small scales. To be effective, a microbot would need an antenna, which needs to be large enough to collect a meaningful amount of energy and also stay fairly close to the source.

Magnetic actuation
Magnetic actuation technology has been applied in biological systems for several years, in areas such as targeted drug delivery where magnetized carrier particles coated with chemical agents are concentrated on specific target regions of the body using external magnetic fields. Magnetic beads of a few microns diameter have also been successfully steered inside cells to manipulate individual DNA molecules.
At the UC San Diego 3D printed microbots project referred to above, the microfish are powered by nanoparticles with hydrogen peroxide being the power source, while magnets provide steering.

Molecular motors
Some experiments have focused on using molecular motors for microbots. These molecular motors are the sensing and actuation systems ubiquitous in biological systems. They have been adapted over millions of years and play vital roles in processes such as cell motility, organelle movement, virus transport.
From a practical viewpoint, interest in such molecular machines for the next generation of hybrid biomotor sensing and actuation systems will be driven by biomedicine as well as related applications such as microfluidics (e.g for nano-propellors) and chemical sensing.
Nevertheless, despite some signs of progress, the use of molecular motors in hybrid living-synthetic engineered systems remains several years away.

Artificial bacterial flagella (ABF)
The bulk of research into biological motors as power sources are focused on F1-ATPase and artificial bacterial flagella (ABF).
ABFs are manufactured through a Hybrid MEMS process by vapour-depositing several ultra-thin layers of indium, gallium, arsenic and chromium onto a substrate, followed by ribbon patterning using lithography and etching. The ribbons curl into a spiral once they are detached from the substrate, due to differences in the molecular lattice structures of the various layers.
The size of the spiral, and the scrolling direction of the ribbon, can be determined in advance. The latter is due to the presence of nickel in the head’ of the microbot. Nickel is soft-magnetic, in contrast to the other (non-magnetic) materials used, and enables the spiral-shaped ABF to move forward/backward as well as upward/downward within a rotating magnetic field generated by several coils, towards which the head constantly tries to orientate itself and in whose direction it moves. Steering the ABF to a specific target is achieved by adjusting the strength and direction of the rotating magnetic field.

Nevertheless, the precise placement of microbots is crucial in order to avoid a clinician’s nightmare – to place something solid in the blood, and trigger clots. Even ultra-sophisticated microbots which can follow a change in temperature, may not be able to fight the powerful currents in the bloodstream.

Europe is playing a major role in microbotics, with ETH Zurich considered a world leader in the field. One of its first biomedical microbots aims at ophthalmic operations on the retina. Drugs to treat the retina can now be injected into the eye, where they diffuse. However, only a fraction of the dose reaches its target. Microbots could potentially deliver drugs in a more targeted manner, reducing doses as well as side effects.

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Dynamic contrast-enhanced magnetic resonance – new frontiers against cancer, but some way still to go

, 26 August 2020/in Featured Articles /by 3wmedia

Dynamic contrast-enhanced magnetic resonance (DCE-MRI) is a functional imaging technique. It consists of MRI scans coupled to the injection of a contrast agent. The latter leads to a decrease in relaxation time and provides extremely detailed characteristics of the micro-circulation of blood through tissue.
DCE-MRI assessments typically use the characteristics of signal intensity (SI) and time-intensity curves (TIC) regarding regions of interest (ROI). Early DCE-MRI efforts assumed a linear relationship between signal enhancement and contrast uptake. However, given that signal enhancement depends to a very great degree on intrinsic tissue and acquisition parameters, more complex models have been developed to control the effect of tissue characteristics such as the pre-contrast longitudinal relaxation time and the longitudinal or transverse relaxivities of the contrast agent.

Two-phased process
DCE-MRI is a two-phased process. Typically, at first, a T1-weighted MRI scan is conducted. This is followed by injection of the contrast agent, and then repeated acquisition of T1-weighted fast spoiled gradient-echo MRI sequences to obtain measurements of signal enhancement as a function of time.
The contrast agents are usually based on gadolinium and include gadoterate meglumine (Gd-DOTA), gadobutrol (Gd-BT-DO3A) gadoteriol and albumin-labelled Gd-DTPA.

Image acquisition and voxel comparison
Typically, 3D image sets are obtained sequentially every few seconds for up to 5-10 minutes. Shorter intervals allow for detection of early enhancement, although many researchers consider 10 seconds to be good enough. Longer intervals than this typically makes it tougher to identify early enhancement.
At the moment, the debate about the upper limit for intervals continues.
After image acquisition, the comparison of T1 values per voxel in each scan allows identification of permeable blood vessels and tumour tissue. Both spatial and temporal resolution must be adjusted to obtain an adequate sampling of the contrast enhancement over time, for each tissue voxel. The speed with which MRI images must be acquired necessitates larger voxels, so as to maintain adequate signal-to-noise ratios. Thus, DCE-MRI is often not as high in resolution as conventional T2-weighted sequences.

Range of biomarkers
Although DCE-MRI can be performed on conventional scanners (typically 1.5 T), it requires specialist image analysis to analyse the enhanced biomarker information which is to be provided. Such information includes tissue perfusion, vascularity, endothelial permeability, cellularity etc.
The biomarkers can be used to provide measurements of tumour vascular function and to improve the diagnosis and management of diseases in a variety of organs.

DCE-MRI in the brain
Clinical applications of DCE-MRI have principally focused on in-vivo characterization of tumours.
One of its earliest applications was to analyse blood vessels in a brain tumour, since the blood-brain barrier (BBB) blocks the contrast agent in normal brain tissue, but not in vessels generated by a tumour.
The contrast agent’s concentration is measured as it passes between the blood vessels and the extracellular space of tissue, and then as it returns to the vessels. In tissues with healthy cells or high cell density, the re-entry of the contrast agent into vessels is quicker since it cannot pass cell membranes. In tissues which are damaged or have a lower cell density, the agent is present in the extracellular space for a longer duration.

Numerous DCE-MRI studies on the brain have researched the correlation between BBB disruption and diseases such as acute ischemic stroke, pneumococcal meningitis, brain metastases, multiple system atrophy, multiple sclerosis and Type-II diabetes. One of the most exciting areas of research is the difference in signal intensity profiles over time between Alzheimer’s disease patients and controls.

Tumours and DCE-MRI
Elsewhere, researchers have also established the benefits of DCE-MRI for differential diagnosis of tumours in the head and neck region, such as salivary gland tumours and lesions in the jaw bone. DCE-MRI has also been used to demonstrate the nature of a lymphoma and making a differential diagnosis versus other lesions.
Prostate cancer is becoming a major area of application for DCE-MRI. One of the key limitations to standards of care in the past was the need for random prostate biopsies after discovery of elevated PSA values. This often led to discovery of inconsequential tumours. Meanwhile, the very same biopsies sometimes missed out on significant disease. DCE-MRI, in conjunction with PSA, can identify tumours likely to cause death if left untreated.

Assessing response to chemotherapy
DCE-MRI is also being used to assess responses to chemotherapy. One example of an ongoing project in this area is CHERNAC (Characterizing Early Response to Neoadjuvant Chemotherapy with Quantitative Breast MRI), which is funded by the Breast Cancer Campaign in the UK.
Elsewhere, DCE-MRI has shown promise in detecting cancer recurrence. For example, biochemical relapse after radical prostatectomy can occur in as much as 15 to 30percent of prostate cancer patients. Detection of tumour recurrence in such cases can be difficult due to the presence of scar tissue. Determining the precise site of recurrence since patients with isolated recurrence could benefit from less-invasive treatments, such as radiation to the resection bed.
Other areas for DCE-MRI application include cardiac tissue viability – for example, to evaluate sub-clinical fibrosis and micro-vascular dysfunction. Researchers have also shown its utility in measuring renal function and partial/segmental liver function.

A full spectrum of methods
In general, the analysis of DCE-MRI is based on a full spectrum of methods from the qualitative to quantitative, with an intermediary semi-quantitative approach.

Qualitative analysis
Qualitative analysis is visual and depends on clinical experience and expertise. It assumed that tumour vessels are leaky and more readily enhance after IV contrast material is expressed. As a result, DCE-MRI patterns for malignant tumours show an early and rapid enhancement of the time-intensity curve (TIC) after injection of the agent, followed by a rapid decline. On the other hand, normal tissue shows a slower and steadily increasing signal after agent injection.

Quantitative analysis
Quantitative analysis is based on the pharmacokinetics of contrast agent exchange. It is complex, but allows for a degree of comparability. The limitation is due to a lack of standards. However, better and wider use of software has led to a growing consensus on approaches to quantitative analysis of DCE-MRI data.
One of the most widely used tools is the Toft and Kermode (TK) model, which is showing considerable promise in predicting and monitoring tumour response to therapy.

TK provides data about the influx forward volume transfer constant, KTrans, from plasma into the extravascular-extracellular space (EES). Ktrans is equal to the permeability surface area product per unit volume of tissue, and represents vascular permeability in a permeability-limited situation (high flow relative to permeability), or blood flow into tissue in a flow-limited situation (high permeability relative to flow). KTrans is known to be elevated in many cancers.

Pharmacokinetic modeling for analysing DCE-MRI dates to the early 1990s, and was followed by a consensus paper at the end of the decade ( Tofts P.S., Brix G., Buckley D.L., Evelhoch J.L., Henderson E., Knopp M.V. Contrast-enhanced T 1 -Weighted MRI of a diffusible tracer: Standardized quantities and symbols. Journal of Magnetic Resonance Imaging. 1999′).
Over the years, improvement of imaging techniques (e.g. higher temporal resolution and contrast-to-noise ratio) and greater knowledge of the underlying physiology have catalysed development of more complex pharmacokinetic models.
The TK model, for example, had been developed for measuring BBB (blood-brain barrier) permeability, and overlooked the contribution of the plasma to total tissue concentration. However, as the model gained popularity in assessing tumours throughout the body, vascular contributions to signal intensity were also included.

Semi-quantitative models
The semi-quantitative model seeks to fit a curve to data. Like the visual/qualitative, this approach also assumes early and intense enhancement and washout as a predictor of malignancy. However, semi-quantitative analysis also calculates a variety of dynamic curve parameters types after initial uptake, such as the shape of the time-intensity curve (TIC), the time of first contrast uptake, time to peak, maximum slope, peak enhancement, and wash-in and washout curve shapes.
Broadly speaking, there are three types of curve: Type 1 (persistent increase), Type 2 (plateau) and Type 3 (decline after initial upslope). One of the most attractive features of the semi-quantitative model is its relative simplicity in using parameters to differentiate malignant from pathologic but benign tissue.
For example, in the head-and-neck region, a rapid increase in TIC (fast wash-out pattern) indicates a strong possibility of Warthin’s tumour – a benign, sharply demarcated tumour. A persistent increase suggests the possibility of pleomorphic adenoma. A plateau pattern with a slow washout is characteristic of both a malignant tumour and adenoma.

In spite of enthusiasm about the semi-quantitative approach, it cannot be generalized across acquisition protocols and sequences as well as several other factors which impact on MR signal intensity. In turn, these affect curve metrics, such as maximum enhancement and washout percentage. Differences in temporal resolution and injection rates can also change the shape of wash-in/washout curves, making comparison difficult. Finally, such descriptive parameters provide no physiologic insights into the behaviour of the tumour vessels.

The limitations of DCE-MRI
DEC-MRI itself faces some major limitations. Firstly, there is a lack of standardization in DCE-MRI sequences and analysis methodology, making it difficult to compare published studies. In general, shorter acquisition times lend themselves to more comparability.
One frequent problem is movement by the patient and organ motion (e.g. in the gut, the kidney, bladder etc.). Since a DCE-MRI study procedure is over 5 minutes, there can be considerable misregistration between consecutive imaging slices, leading to noise in the wash-in and washout curves, and problems fitting pharmacokinetic models to the curve.
New DCE-MRI postprocessing software seeks to correct this by automatically repositioning sequential images for better alignment. However, these too do not use common algorithms to process the data and generate parametric maps and can show differences – e.g. in tumour vascularity. To enable further investigation of the value of DCE-MRI of the prostate, the technique of DCE-MRI and the pharmacokinetic model used to analyse it must become more standardized.

One of the most serious problems with DCE-MRI, however, is its non-specificity which can lead to to both false negatives and false positives.
Other sources of uncertainty in DCE-MRI studies include a lack of data. For example, one typical assumption is fast water exchange between compartments in spite of suspicions about the influence of restricted water exchange. Indeed, many quantitative models disregard intracellular space since it is assumed that there is no contrast media exchange. However, others have pointed out that water itself can exchange between the cell and the extracellular space, thereby influencing signal changes in the extracellular space. This is clearly an areas which calls for more study.
Further research is also required in areas such as relaxivity values for a contrast agent, field strength and tissue/pathology. Currently, relaxivity across tissues and compartments is generally assumed to be uniform.

To conclude, DCE-MRI is a significant and promising diagnostic modality. However, for most clinical applications, it cannot be used on a standalone basis, regardless of curve shape or intensity of enhancement. DCE-MRI needs to be viewed in the context of other MRI parameters such as diffusion-weighted MRI and MR spectroscopic imaging as well as T2-weighted MRI.

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Ten years on: the impact of human papilloma virus vaccine

, 26 August 2020/in Featured Articles /by 3wmedia

Globally HPV is still the most frequent sexually transmitted virus. Certain genotypes cause virtually all cases of cervical cancer, a disease which kills over a quarter of a million women per annum, as well as causing morbidity and mortality from anogenital and oropharyngeal disease in both genders. However back in October 2005 it was reported that Phase III trials, involving twelve thousand women in thirteen countries, had demonstrated that Merck’s quadrivalent HPV vaccine, Gardisil, was 100% effective in preventing pre-malignant cervical lesions. This vaccine, genetically engineered in Brisbane and first licenced for use in public health programmes in Australia, the US, Mexico, Gabon and Europe a decade ago, targets HPV genotypes 6/11 as well as HPV16/18. The former low-risk genotypes cause 90% of anogenital wart infections; it is estimated that the latter high-risk genotypes are responsible for 70% of cervical cancers and 80% to 90% of other HPV-related neoplasms including anal, penile and oropharyngeal cancers. Other vaccines, all of which target the high-risk genotypes HPV 16/18, are now in use. The most recently approved also includes the less common oncogenic genotypes 31/33/45/52/58. HPV vaccine is now approved for use in 129 countries. So after a decade what has been the impact on health from the more than 205 million doses of HPV vaccine that have been distributed worldwide?
The beneficial effect is particularly apparent in countries where there is a high uptake of girls who are vaccinated before they become sexually active. Both infections with HPV and genital warts have plummeted by 90%, with a reduction of 85% in high-grade cervical abnormalities. Data reporting lower numbers of cervical cancer cases post-vaccine will surely follow. The bad news is that the full potential of the vaccine has yet to be realized. Only 64 countries actually include HPV vaccination in their national immunization schedules, and the less developed nations are less likely than the West to have effective programmes that require three timed inoculations and high population coverage. In developed countries such as the US imprudent parents still refuse the vaccine because of possible safety concerns or more bizarrely because they think it will encourage sexual promiscuity in their offspring. However the good news is that in China, which has 28% of the global cervical cancer cases but a particularly cumbersome drug approval process, HPV vaccine has finally been approved and will be available in 2017. Surely a fitting memorial to the late Chinese co-inventor of the initial vaccine, Dr Jian Zhou!

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Imaging: the new frontier for clinical decision support

, 26 August 2020/in Featured Articles /by 3wmedia

The clinical decision support (CDS) system is one of the most exciting areas of healthcare IT. It leverages state-of-the-art IT tools ranging from data-mining algorithms to complex neural networks, and seeks to address one of healthcare IT’s biggest challenges – Big Data. For its proponents, CDS is a means to standardize clinical practice with a framework of evidence-based clinical rules.

Information overload and CDS
In a recent publication, Ken Ong, Chief Medical Informatics Officer of New York’s Queens Hospital, discusses the importance of CDS tools and processes to modern medical practice. He cites the quadrupling in medical journal articles from 200,000 in 1970 to over 800,000 in 2010, and calculates that given the current rate of publication in medical literature, a medical school graduate reading two articles every day ‘would be 1,225 years behind at the end of the first year.’ Another interesting figure concerns national clinical care guidelines for preventive services and chronic disease management. Ong writes that were physicians to follow all these, alongside doing their routine tasks for a typical patient panel, they would need a workday of 21.7 hours. His conclusion is simple: ‘Information overload coupled with a paucity of time suggest the value of CDS and greater team-based care.’

Reduction of inappropriate imaging
In its radiology incarnation, a CDS platform provides evidence-based information and patient-tailored tools to make imaging decisions at the point of care. The system is optimized within clinical workflow and allows a physician to quickly determine what type of imaging exam is needed for a patient with specific symptoms, effectively steering choices away from low-yield exams. This ensures the appropriate use of radiation, while avoiding unnecessary exposure. It also evidently save costs.
In practical terms, radiology CDS is provided as an interface to a computerized physician order entry (CPOE) system. In February 2012, The Journal of the American College of Radiology’ published results of a pilot study at Boston’s Brigham and Women’s Hospital on a web-enabled (CPOE) system with embedded imaging decision support. The project was run between 2000 and 2010 across the hospital’s outpatient, emergency and inpatient departments and established significant increases in meaningful use for electronically created studies (from 0.4 percent to 61.9 percent) and for electronically signed studies (from 0.4 percent to 92.2 percent).
Also in 2012, the American College of Cardiology announced the results of a two-year old initiative known as Imaging in FOCUS’, which aimed at reducing inappropriate use through CDS software. The initiative had considerable success, with participating practices reporting a sharp reduction in inappropriate ordering, by close to 50% in one year (from 12 to 7 percent).

Laggard in healthcare IT

In spite of this, CDS has until recently been limited to prescriptions, laboratory tests and treatment protocols, with imaging described as ‘a laggard on the health IT technology adoption curve.’
In the US health IT investments of higher priority to hospitals-certified electronic health record (CEHRT) technology needed to comply with the federal meaningful use (MU) programme, better security systems, and ICD-10 conversion software-have superseded investments in radiology CDS.

A boost from PAMA

However, radiological CDS systems received a boost in the US after passage of the Protecting Access to Medicare Act (PAMA) in April 2014. Although much of its focus is on physician reimbursement, PAMA also provides incentives to change physician behaviour with regard to imaging. The key clause in PAMA is Section 218 which encourages the development and use of clinical practice guidelines for ordering imaging tests. These guidelines, in turn, form the core of radiology decision support tools.
PAMA closes a gap in the meaningful use clauses of the EHR Incentive Reimbursement Program, which has been targeted at the electronic health record.
EHR design does not accommodate radiology workflow and processes – and therefore had little relevance for radiologists so far. This is what PAMA seeks to address.
The impact of PAMA on CDS is likely to be major, after it takes effect. The deadline was originally set for January 1 next year, but has since been shifted to ‘approximately the summer of 2017,’ in order to give more time to healthcare providers to get used.
After PAMA is in force, physicians in their office, in the hospital outpatient or emergency department settings will have to consult appropriate use criteria (AUC) when ordering CT, MRI and nuclear medicine-based imaging such as PET (X-ray, fluoroscopy, and ultrasound exams are excluded). PAMA explicitly states that physicians offering diagnostic interpretation will be reimbursed by Medicare only for claims which confirm that a certified CDS system was used.

ACR Select: appropriate use for imaging
Although there are several initiatives, the radiological CDS system which seems most likely to become a global reference is ACR Select. This system, which debuted at the Radiological Society of North America (RSNA) Annual Meeting in 2012, was developed jointly by the American College of Radiology (ACR) and National Decision Support Company (NDSC). ACR Select is designed to ‘reduce inappropriate use of diagnostic imaging’ by using CDS software to track AUC criteria.
ACR Select offers a database with more than 130 topics and 614 variant conditions that provide evidence-based guidance for the appropriate use of all imaging procedures. More than 300 volunteer physicians, representing more than 20 radiology and non-radiology specialty organizations, participate on the ACR expert panels to continuously update these guidelines.
An ACR Select interface is provided for computerized physician order entry (CPOE) applications. The interface pops up when a physician requests an imaging exam for a patient. The physician is required to input information on the latter’s clinical condition, along with the imaging exam sought. ACR Select then gives an appropriateness score, accompanied by a colour code – green, yellow, or red which instructs whether a study is clinically indicated based on the ACR’s appropriateness criteria.

Europe sees no need to reinvent the wheel
Developments in the US have spilled over into Europe.
In autumn 2013, Hospital Clinic of Barcelona started to test ACR Select, with the aim of adapting its appropriateness criteria to European standards of practice. Shortly afterwards, a team of senior radiologists began work developing Europe-specific and evidence-based imaging referral guidelines. These were based not only on translating the US criteria into Spanish, but also adapting them to local clinical situations, diagnostic codes, and country-specific practices. The target was ‘to cover around 80 percent of requests in daily practice by reviewing the clinical scenarios, indications and recommendations’ for a large range of topic groups.
The embryonic system was subsequently tested at 80 general practitioners in Hospital Clinic Barcelona’s network. The GPs were provided feedback on how their requests for imaging exams matched appropriateness criteria. The tests were then rolled out to other specialists, including emergency physicians.

At the European Congress of Radiology (ECR) in Vienna in March 2014, Dr. Lluis Donoso Bach, director of the diagnostic imaging centre at Hospital Clinic of Barcelona, pointed out that the economic crisis had led radiologists looking for innovative ways ‘to do more with less.’ Europe, he said, could benefit by adapting ACR Select to its needs, and avoid going through an exhaustive process of creating its own criteria for appropriate imaging.
In the months to come, some ten pilot projects to adapt ACR Select to Europe were launched in various other European countries, including the United Kingdom, Germany, Italy, Spain, Portugal, and Sweden.

Conflicts in European models, global ambitions
In retrospect, one of the most persuasive arguments swinging the choice of radiology CDS towards ACR Select consisted of conflicts between emerging European CDS models. The ESR had first sought to develop a CDS system based on guidelines from the French and British radiological societies. However, preliminary work soon identified considerable discrepancies’ between the two sets of rules and this led the ESR to turn to ACR Select.
Yet another advantage of a joint Euro-American approach is acknowledged by the ESR. It gives ‘a global dimension for the ACR and ESR’s common vision of establishing a global set of imaging referral guidelines in the future.’ As Pharma Times’ noted, the collaboration is ‘a decisive first step towards harmonizing AUC for imaging at a global level’. It added that interest in the system from Australia and Asia suggests ‘that the radiology field is indeed headed towards a globalization of ordering guidelines.’
In March 2016, National Decision Support Company (NDSC) established a European subsidiary in Vienna, home of the ESR. Outside Europe, one of its first targets is the Middle East.

ESR launches Europeanised prototype
In March 2015, the European Society of Radiology (ESR) formally launched a prototype of the adapted US CDS system, which it called iGuide. The launch took place at the ECR in Vienna. During the occasion, Dr. Lluis Donoso Bach also took over as ESR President, with his term lasting until 2016.
During the launch, Erika Denton, National Clinical Director for Diagnostics with NHS England, discussed some figures regarding the localization and adapting of ACRSelect into the ESR iGuide. There were 16% rating changes – that is, changes in the ratings attributed to an orderable imaging exam; 9 % category changes – that is, changes in the imaging modality being recommended in a given clinical scenario.

iGuide
iGuide makes evidence-based, imaging referral guidelines available and easy to use across Europe. It is designed as a user-friendly system available at the point of care, and can be stand-alone or integrated with ordering systems and linked to electronic health records. As with ACR Select, it aims to ensure ‘a simpler, faster and reliable clinical workflow.’
iGuide also retains an element of flexibility. Users can localize recommendations according to their needs starting from the evidence-based core. In addition, the ESR iGuide can be adapted to users’ needs and institutional settings, for example by taking into account the availability of certain types of imaging equipment. This is not only relevant for Europe, but across other heterogeneous global markets, and will be crucial to eventually make the Euro-American effort an international success.
The ESR plans to continuously update iGuide to provide users with the latest evidence, instead of publishing a complete overhaul every few years.

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Artificial intelligence and radiology – threat or tool ?

, 26 August 2020/in Featured Articles /by 3wmedia

In spite of alarm bells that artificial intelligence (AI) would decimate the radiology profession, a host of barriers – both technical and regulatory – make this unlikely to happen for the foreseeable future. Instead, over the coming decade, AI is at best likely to help radiologists do their jobs more quickly and lead to improved patient outcomes.

From CAD to AI
AI in radiology, in some senses, has tended to raise the same level of expectation as computer-aided detection (CAD) did for the profession in the 1990s. Indeed, there is now a distinction between computer aided detection which reduces observational oversight and false negatives in interpreting medical images, and computer aided diagnosis (also called CAD) – by virtue of which software is used to analyse a radiographic finding to estimate the likelihood of a specific disease process (e.g. a benign versus malignant tumour).
As a result, in spite of tens of thousands of machine-learning algorithms, there is little connection to clinical application. Most remain confined to the realms of research.

The Black Box barrier
Radiologists, for example, use visual pattern matching. However, few object recognition algorithms have yet been tested on gray-scale images, such as those widely used in radiology.
Though specific algorithms could in principle be tailored for specific tasks, they use different assumptions and targets, and often are written to function in different modalities. Consolidating a set of algorithms into one package and then using this to underpin image or data analysis is not feasible.
In effect, the key problem with CAD detection is its black box’ nature, which means they cannot explain why an object has been identified as abnormal. Many users remain suspicious about sharing the already-grey zone between detection and diagnosis with a machine, which only provides probabilities.

Sensitivity and specificity
The above kind of issues also hinder AI. Nevertheless, the technology is rapidly evolving and may offer some solutions to new challenges.
Like radiologists, AI faces the twin pulls of sensitivity and specificity, between false positives which overcall disease and false negatives which undercall it. It is clear that it will favour sensitivity over specificity.

Technology creates its own momentum
In recent years, radiologists have been forced to cope with an explosion in the stock of medical images, thanks to modern imaging technologies and PACS storage capacity. In the UK, for example, almost 5 million CT scans are performed per year by the NHS. At the upper end, a single pan scan’ CT of a trauma patient, for example, renders about 4,000 images. Indeed, a busy radiologist can read about 20,000 studies a year.
To deal with this burden – both physical and visual – radiologists clearly need help. AI seems to have become one of the most optimal.
There is, nevertheless, some irony here. Technology, in this case consisting of new imaging modalities, has led to an increase in the workload on radiologists. This is in spite of the fact that the disease burden has remained more or less the same, as has the prevalence on imaging of clinically significant pathology. However, the growth of imaging stock has led to a sharp rise in the presence of detectable and potentially significant pathology. Radiologists therefore face the massive challenge of finding ways to use the latter. This is where yet another technology, AI, steps in.

Industry push combines with radiologist pull
While the need to handle the imaging data explosion will see radiologists pulling’ AI, industry has chosen radiology to push’ for clinical validation. There are two reasons for this: the sheer volume of the imaging data and its continuing growth make it a huge market, while the fact that it is stored in structured and computer-readable DICOM format means it is a ready one.

AI’s own dynamics in change
Meanwhile, AI itself has seen some changes. Although, fuelled by science fiction and Hollywood, the popular imagination associates AI with self-awareness, what we really still have is more accurately machine intelligence. The implications of even such a toned-down definition should, however, not be under-estimated. Neither should some recent developments.

From Deep Blue to AlphaGo
In the late 1990s, IBM’s Deep Blue supercomputer defeated grandmaster Garry Kasparov in a chess game. In March 2016, Google DeepMind’s AlphaGo defeated Lee Sedol, a 9th level Go grandmaster 4-1. For AI experts, the AlphaGo win is far more impressive than Deep Blue because Go is less rules-bound than chess.
Due to these constraints, Deep Blue analysed millions of potential combinations and outcomes, in what IT professionals call brute force’ calculation. No computer can yet achieve this with Go, which according to Business Insider’ (March 10, 2016) has ‘more than 300 times the number of plays as chess. Alongside continuous scenario analysis, top Go players require both experience and intuition’. This is why AlphaGo’s win was seen as a paradigm shift in AI.

Deep learning
Unlike Deep Blue’s brute force, AlphaGo used a programming method called deep learning’, with so-called neural networks, which are far more similar to human thought processes than traditional computing. Rather than seeking to map out every possible move combination, deep learning (DL) is a relatively-unregulated process by which a computer figures out why something is what it is, after being shown several examples. It uses a large but still-finite sample of data, draws conclusions from that sample, and then, along with some human inputs, repeat the process over and over again, to simulate millions of games into a decision-making system.
Technically, AlphaGo’s deep neural networks consisted of a 12-layer network of neuron-like connections with a policy network’ to select the next move and a value network’ to predict the winner of the game.

A new benchmark

Neural network-based deep learning is now the benchmark for AI in radiology, with IBM’s poster child Watson leading the way. At the 2015 RSNA meeting, Watson showed its capacity to find clots in brightly shining pulmonary arteries.
Watson, however, has a DL rival in Australia’s Enlitic, which has developed a lung nodule detector claimed to achieve positive predictive values that are 50percent higher than those of a radiologist. As the detection model analyses images, it learns from those images. It not only finds lung nodules, it also provides a probability score for malignancy. Enlitic is now conducting a trial on a model to detect fractures using X-ray images overlaid with a heat map to highlight their location within a conventional PACS viewer. The clinical application will eventually encompass X-ray, CT, and possibly MRI. At the moment, Enlitic is working to incorporate ACR guidelines into it.
Although both Watson and Enlitic use deep learning, the approach is different. Watson seeks to understand’ a disease, Enlitic simply seeks to find source problem data, solve it, and produce a diagnosis.

Another DL developer is MetaMind, since last year part of CRM (customer relationship management) giant Salesforce.com. MetaMind has an alliance with teleradiology provider vRad to identify key radiology elements associated with critical medical conditions, especially in the latter’s focus area of emergency departments (EDs). The first tool to emerge from the partnership was an algorithm to identify intracranial hemorrhage (ICH), often seen in ED patients and requiring prompt action. vRad, which has put the algorithm into a beta phase that will allow it to collect data to demonstrate outcomes, is adapting it to identify other critical conditions, such as pulmonary embolisms and aortic tears.

Swarm AI
Apart from deep learning, radiology is also seeing the first successful experiments with swarm AI, which helps form a diagnostic consensus by turning groups of human experts into super experts. The technology borrows from nature, which sees species accomplishing more by participating in a flock, school or colony (a swarm’) than they can individually. One study, published in Public Library of Science (PLOS)’, stated that swarm intelligence could improve mammography screening and has the potential to improve other types of medical decision-making, ‘including many areas of diagnostic imaging.’ Another study found that accuracy in distinguishing normal versus abnormal patients was significantly higher with swarm AI than the radiologists’ mean accuracy.

Challenges ahead
Nevertheless, there is much more to be achieved before AI becomes an everyday tool in radiology.
The biggest roadblock will consist of regulators, who are unlikely to sanction the use or marketing of intelligent’ machines. In the US, as first of their kind, they lack the predicate devices needed to be regulated under the FDA’s 510(k) rules, and it would take decades to get approval for each algorithm.
A second issue is the time and cost to get datasets to fine-tune the algorithms. Watson, for example, has a backlog of 30 billion medical images to review.
Thirdly, the algorithms would also raise significant legal and ethical issues, such as knowing when they could be trusted.
Finally, even were such machines to become available, referring physicians are unlikely to accept conclusions or interpretations drawn solely by them.
The scale of such challenges has already been seen by developers of computer-aided detection (CAD) algorithms – and the change of CAD to detection’ rather than diagnosis’, as it was called in the early days.

Need and benefit, reality checks
In short, for now, radiologists need AI just as much as AI needs them.
Radiologists will have to begin to work with AI, both to improve the technology itself and to reduce routine, repetitive tasks such as confirming line placements and looking at scans to find nodules.
On its part, AI is likely to become an increasingly smarter tool, to improve efficiency, for example by prioritizing cases, putting thresholds on data acquisition, improving workflow by escalating cases with critical findings to the worklist of a radiologist and providing automatic alerts to both radiologists and other concerned clinicians.
In the longer term, DL algorithms are likely to be trained to recognize disease patterns, identify, outline and measure nodules and possibly highlight suspicious areas in images. This is likely to be followed by the use of DL-based AI as clinical decision tools, for example to help referring physicians select or narrow choices of scans, based on clinical observations in an EMR. Such steps would not only free up resources for additional testing but also improve patient care, thereby making radiologists even more integral in the care management process.

In the final count, a resonant reality check on AI has been provided by Eliot Siegel, MD, professor of radiology at the University of Maryland. He has offered to wash the car of anyone who develops a program than can segment adrenal glands on a CT scan as reliably as a 7-year-old.

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Cardiovascular disease – more attention required for women

, 26 August 2020/in Featured Articles /by 3wmedia

Cardiovascular disease (CVD) is by far the leading cause of death in industrial countries. However, there are significant differences by continent/region, and even more so in terms of gender. There have also been some major recent changes in the evolution of CVD, compared to another major source of mortality – cancer. Once again here, there are some female-specific factors of interest.

The US and Europe
For Europe as a whole, latest figures from the World Health Organization (WHO) show CVD accounting for 45percent of deaths, approximately the same level as the US, where the figure is 44percent.
Cancer is the second largest cause of death in both the US and Europe. However, a significant margin separates its mortality impact from CVD.
There are also differences between the US and Europe in the relative impact of CVD versus cancer. In the former, cancer accounts for 32percent of deaths (or almost three-fourths of that from CVD). In Europe, the share of cancer is less than half CVD deaths. The WHO data cover 52 countries in Europe, including all members of the European Union (EU).

A man’s illness ?
Traditionally, heart disease was thought of as a man’s’ illness, although approximately the same number of women and men died each year of heart disease in the US and the EU.
Indeed, gender issues in CVD deaths are significant, both in the US and Europe. Although a higher number of males die in the US from CVD as compared to females, the share of CVD as a cause of death is only slightly higher in American women (44.3percent vs. 43.4percent).
In Europe, the gap is far more dramatic, with CVD accounting for 51percent of deaths among women and 42percent among men.

Cancer replaces CVD as leading cause of death in northern/western Europe
There are nevertheless considerable divergences across European countries in CVD mortality as well as in recent changes in death rates due to CVD.
In ten advanced EU countries, more men now die from cancer than CVD. These countries are Belgium, Denmark, France, Italy, Luxembourg, the Netherlands, Portugal, Slovenia, Spain, and the UK. The case is the same for an EU non-member, Norway. Conversely, the highest numbers of deaths from CVD tend to be seen in Eastern European countries.
In much of Europe, however, latest WHO data show more than double the number of deaths from CVD compared with cancer, in women. 15 countries in this group report CVD causing more than four times the number of deaths in women as cancer, compared to only 6 for men.
Meanwhile, death rates from CVD have declined in all countries over the past ten years. However, in some countries, women have seen a relatively lower fall than men in age standardized mortality rates, over the period. These include Luxembourg (50percent for men vs. 42percent for women), the Netherlands (39percent vs. 32percent) and Sweden (31percent vs. 26percent), and to some extent Ireland, Italy and Switzerland.

Raising awareness
One immediate priority for health professionals and policy makers is to raise awareness about CVD and women. Currently, Red Day’, Go Red for Women’ and Women at Heart’ campaigns by professional societies and patient groups in the US and Europe have sought to boost awareness further, and do this faster.
The reasons for this are evident. In the US, just over half of women surveyed recognize heart disease as their Number 1 killer, according to a 12-year follow-up study published in 2010 in Circulation: Cardiovascular Quality Outcomes’.
Nevertheless, the situation had improved significantly compared to the baseline year of 1997 when only 30 percent identified heart disease as the leading killer of women, with 35 percent believing that cancer took this role.
The situation is worse in parts of Europe. In Ireland, for example, a recent Irish Heart Foundation report showed that less than one in 5 Irish women knew CVD as being the leading cause of female mortality.

CVD protection in younger women
The reasons for believing CVD was a man’s’ disease (as mentioned above) were not simply hearsay. Women are protected by their hormones against CVD during their child-bearing years. However, this protection is lost as soon as they enter menopause. The net result is that women tend to get CVD at an age about 10 years more than men.
To complicate matters, CVD symptoms in women are sometimes different from those in men. This adds to under-recognition of heart disease in women. For example, heart attack symptoms in women such as chest pain can be less profound than in men. Women may only feel an uncomfortable pressure in the chest centre which occurs sporadically or lasts a few minutes, or experience pain in one or both arms, their neck, back or stomach, along with shortness of breath and accompanied by a cold sweat, nausea, vertigo and weakness. Moreover, it has also been established that women have a higher prevalence of silent ischemia and of unrecognized myocardial infarction than men.
As a result, both women and physicians need to be trained to recognize female-specific symptoms.

HRT and CVD risks
One of the beliefs which has endured for several decades is that the estrogen drop during menopausal transition induces increased post-menopausal CVD risk in women, probably through harmful changes in CVD risk factors. One of the findings supporting this conclusion was that women who reached menopause before the age of 40 had a two-year lower life expectancy than women with a normal or late menopause.
Indeed, circulating estrogens do have a regulating effect on several metabolic factors, such as lipids, inflammatory markers, and the coagulation system.
This was the reason for the popularity of Hormone Replacement Therapy (HRT), or exogenous estrogens. Until recently, HRT was recommended for use in post-menopausal women to limit CVD risk. The hypothesis was supported by several observational studies, but could not be conclusively proved in large randomized trials. Instead, HRT was shown to increase CVD event rate in older (>60 years) post-menopausal women. As a result, clinicians now recommend a careful evaluation of the risk/benefit of HRT replacement for preventing CVD, and the use of HRT has declined.

Concurrent risk factors for women
Other, concurrent risk factors include hypertension, hypercholesterolemia, hypertriglyceridemia and metabolic syndrome. These increase in women over the age of 45, or a few years before menopause.
For example, systolic blood pressure rises steeply in older women compared with men. Hypertension is associated strongly with a higher prevalence of left ventricular hypertrophy and diastolic heart failure (HF). Studies have shown that even borderline hypertension (less than 14/9 cm Hg) causes more cardiovascular complications in females than in men.
At younger age, the prevalence of hypercholesterolemia is lower in women than men, but at over 65 years age, mean LDL-cholesterol levels are higher in women. Hypertriglyceridemia and low HDL-C levels are far more important risk factors for CVD in women than for men, as discussed below.

Type 2 Diabetes
Nevertheless, of the biggest areas of concern is Type 2 diabetes mellitus, which poses a much higher greater risk for cardiovascular complications in women than in men.
One meta-analysis of 37 prospective cohort studies published in the British Medical Journal’ in December 2006 found mortality risk to be 50percent higher in women with diabetes compared with men. In addition, it has been shown that Type 2 diabetes is a potent, independent risk factor for heart failure in women. However, this cannot be fully explained by coexisting cardiovascular risk factors or previous myocardial infarctions.

Lifestyle factors
Lifestyle changes also play a role. Obesity, for example, is a major CVD risk factor. It is more prevalent in men under the age of 45, but has begun to increase with advancing age in women, reducing the gap with time, and often reversing it in older women. This was one of the findings of a report called European Heart Health Strategy: Red Alert on Women’s Hearts’, published in 2009 by the EuroHeart Project, funded by the EU Commission and conducted jointly by the European Heart Network (EHN) and the European Society of Cardiology (ESC).

Women and clinical trials
The case of HRT, where findings from large randomized trials reversed those of observational studies, has brought another priority to the forefront, namely to increase the presence of women in CVD clinical trials.
The EU-funded EuroHeart project (see above) found women to be under-represented in many trials, even where important gender differences are present within most areas of heart disease. The proportion of women enrolled was 27-41percent, even though the female prevalence of clinical conditions under study in the general population was similar for both men and women.
The case in the US is similar, in spite of a legal requirement that research funded by tax receipts must include women and minority groups. One study found that trials by the National Heart Lung and Blood Institute, attached to the National Institutes of Health (NIH), enrolled 38percent women for the years 1965-1998. This fell further to 27percent in 1997-2006. Furthermore, only 13 of 19 studies analysed gender differences.

Apart from the traditional belief that CVD was a man’s’ disease, some experts believe that cost may also have been a consideration in under-recruitment of women, whose hormonal fluctuations tend to complicate pharmacokinetic and pharmacodynamic analysis.
Nevertheless, given the growing burden of CVD in middle-aged women relative to men, it is evident that greater gender-specific cardiovascular research is required to adapt existing guidelines for better cardiovascular health in women.

Pregnancy as stress test for future CVD
There is intriguing evidence that pregnancy might be a useful stress-test’ for future CVD risk. Hypertensive disorders in pregnancy have been shown to be predictors for CVD events in later life. Impaired glucose tolerance and gestational diabetes in pregnancy are also female-specific risk factors for the development of diabetes and metabolic syndrome in young women.
One of the conditions under close scrutiny is pre-eclampsia, which is characterized by high blood pressure and large amounts of protein in the urine. Although the etiology of pre-eclampsia has yet to be established with certainty, the hyperlipidemia of normal pregnancy (elevated total cholesterol and triglycerides) becomes more extreme in women developing the condition. The sharp growth in triglycerides leads to increased production of LDL (up to 3-4 times more than in a normal’ pregnancy), along with reduced HDL-C. Together, this contributes to endothelial dysfunction.
One ongoing trial at Brigham and Women’s Hospital in Massachusetts seeks to demonstrate an association between pre-eclampsia during pregnancy and altered blood vessel function and abnormal hormone levels in later life. The trial, known as Preeclampsia: A Marker for Future Cardiovascular Risk in Women’ commenced in 2012. Its results are expected to be published in the near future.

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Dose reduction in medical radiation – regulators, industry and healthcare professionals seek common front

, 26 August 2020/in Featured Articles /by 3wmedia

Ionizing radiation, from the sun and even the earth, is a daily fact of life. There is little that can be done about this, except to stay away from too much sunlight and protect the skin with sunscreens. On the other hand, people are also sometimes exposed to radiation for medical reasons – such as diagnostic X-Rays or CT scans, or a range of interventional radiology procedures. These procedures offer tremendous benefits for patients and for healthcare providers. The evidence for such benefits has become indisputable in recent years, and covers a wide range of diseases and conditions.

Medical imaging has profound impact on patient management
The American Journal of Roentgenology’ reported in 2011 that abdominal surgeries reduced significantly after CT scans. Physicians planned to admit 75percent of patients to hospital before CT. This level was changed to hospital discharge with follow-up in 24percent of patients after CT. The conclusions of the researchers, from Massachusetts General Hospital, were conclusive: CT ‘changes the leading diagnosis, increases diagnostic certainty, and changes potential patient management decisions.’
Massachusetts General Hospital was indeed one of the first institutions to study the impact of medical imaging. In 1998, a team from the hospital reported that CT was 93-98percent accurate in confirming or ruling out appendicitis. The condition accounted for 1 million patient-days per year in the US, with a similar level eventually found to have other conditions.

From emergency rooms to lung cancer
More recently, the New England Journal of Medicine’ published a study on non-invasive coronary CT imaging in the emergency room. The study found that out of the 8 million visits per year to emergency rooms by patients with chest pain, only 5-15percent were eventually found to be suffering from heart attacks or other serious cardiac diseases. As many as 60percent of patients faced unnecessary admission and testing to exclude acute coronary syndrome.
Meanwhile, it has also been reported that low-dose CT screening reduced lung cancer deaths by at least 20percent in a high risk population of current and former smokers aged 55 to 74. These findings were reported by the National Lung Cancer Trial in the US.

Fight against Alzheimer’s, speeding up clinical trials

In the future, medical imaging holds forth significant promise as a tool in the fight against diseases ranging from osteoporosis to Alzheimer’s, whose incidence is likely to grow sharply as the population ages.
Medical imaging also offers increasing promise as a surrogate endpoint in clinical trials, allowing measurement of the effect of a new drug far earlier than traditional endpoints, such as survival times or clinical benefit.

Concerns about over-use, some alarmist
Nevertheless, there are several concerns about over-use’ – especially for imaging accompanied by radiation such as CT. In the US, according to a June 2012 review in the Journal of the American Medical Association’, CT scans tripled in the period 1996-2010, corresponding to a 7.8percent annual increase. Although this was less than a near four-fold increase in MRI and a 30percent fall in nuclear medicine use, CT has been the target of sometimes emotive campaigns.
One good illustration of this was an Op-Ed in the New York Times’ on January 31, 2014. The article was titled ‘We Are Giving Ourselves Cancer.’ It opened with the observation that we are ‘silently irradiating ourselves to death,’ while its closing sentence urged finding ways to use CTs ‘without killing people in the process.’

The Times’ Op-Ed cited a British study which ‘directly demonstrated’ evidence of the ‘harms’ of CT, and it is here that its authors over-stretched their credibility. The study they referred to was published in Lancet’ in August 2012 and titled Radiation exposure from CT scans in childhood and subsequent risk of leukemia and brain tumours: a retrospective cohort study’. Its authors used data on 175,000 children and young adults and found that the cumulative 10-year risk was higher in relative terms, but translated into one extra case of leukemia and one extra case of brain tumour per 10,000 head CT scans.

ALARA and the principle of necessity and justification
In other words, while few would argue that there is no risk from radiation, it is clear that such risks are small and that even these small potential risks could be controlled further by reducing exposure to radiation.
Both industry and healthcare professionals are endeavouring to ensure that such a goal is achieved.
Manufacturers of CT and other radiation imaging equipment seek to keep exposure to radiation for both patients and medical staff to a minimum – and below their regulatory limits – by using the ALARA (As Low As Reasonably Achievable) principle to design their products. Key methods include use of the most dose-efficient technologies available and seeking to ensure that optimum scan parameters are used for a patient and examination type.
Meanwhile, in the clinical setting, doctors seek to ensure that radiation imaging examination is ordered only when absolutely necessary and justified, while radiographers optimize the radiation dose used during each procedure.

Safety, information and awareness
Since the mid-2000s, radiologists and medical physicists have taken steps to increase controls on radiation risks to patients. These have essentially focused on promoting the safe use of medical imaging devices, supporting informed clinical decision making and increasing patient awareness.
One of these initiatives is known as Image Gently, a collaborative initiative by radiology professional organizations and other concerned groups. Its target is to specifically lower radiation dose during the imaging of children.
A related initiative, led by the American College of Radiology (ACR) and the Radiology Society of North America (RSNA), is Image Wisely. This is essentially an awareness campaign whose goals are to eliminate unnecessary’ procedures and lower doses to minimal levels required for clinical effectiveness when necessary. One aspect of Image Wisely is collaboration between medical radiologists and manufacturers to improve performance of radiology equipment and allow physicians to make real-time assessments of whether radiation levels are acceptable.

Initiatives by professional societies
Such initiatives are closely supported by professional radiology societies. The ACR has developed Appropriateness Criteria (corresponding to the federal requirements on appropriate use) to assist referring physicians and radiologists in prescribing the best imaging examination for patients – based on symptoms and circumstances. One tool consists of the display of imaging options and associated radiation levels for a specific procedure. The aim is to reduce imaging examinations by assuring that the most suitable exam is done first.
In Europe, the European Society of Radiology’s flagship EuroSafe Imaging’ has the same objective, to maximize radiation protection and quality/safety in medical imaging. The initiative was launched at the European Congress of Radiology in 2014 and has so far attracted over 50,000 individual supporters (known as Friends of EuroSafe Imaging’). Over 200 institutions (industry and healthcare providers) have also endorsed the initiative.

Accreditation programmes
Accreditation programmes are also being targeted by the ACR and ECR, in order to assess facilities based on imaging competence, adherence to latest dose guidelines, and personnel training. Given the pace of technology development in imaging, certified radiology and nuclear medicine professionals are increasingly recommended or (in some cases) required to earn continuing education credits on radiation safety.
In Europe, the ECR has joined forces with the European Federation of Organizations for Medical Physics (EFOMP), the European Federation of Radiographer Societies (EFRS), the European Society for Therapeutic Radiology and Oncology (ESTRO), the European Association of Nuclear Medicine (EANM), as well as the Cardiovascular and Interventional Radiological Society of Europe (CIRSE) on an EU-promoted radiation education project called MEDRAPET. The findings, published in 2014, revise the previous Radiation Protection 116 Guidelines on Education and Training.

The Bonn Call for Action sets roadmap for the future

Many of these initiatives have been inspired by a conference held in Bonn, Germany, at the end of 2012, which was sponsored jointly by two United Nations bodies – the International Atomic Energy Agency (IAEA) and the World Health Organization (WHO). The outcome of the conference, which was attended by participants from 77 countries, is known as the Bonn Call for Action, and aims to strengthen medical radiation practices into the 2020s.

The Bonn Call consists of ten major actions. These are described below:

  • To enhance implementation of the principle of justification. There is explicit emphasis on the use of clinical decision support (CDS) technology towards such a goal.
  • To enhance implementation of the principle of optimization of protection and safety. There is a specific call to ensure the establishment, use and regular updating of diagnostic reference levels for radiological procedures, including interventional procedures, and to develop and apply technological solutions for patient exposure records, harmonize dose data formats provided by imaging equipment and increase utilization of electronic health records.
  • Strengthen manufacturers’ role in contributing to the overall safety regime. This seeks to enhance radiation protection features in the design of both physical equipment and software, and to make these available as default features rather than optional extras.
  • Strengthen radiation protection education and training of health professionals.
  • Increase availability of improved global information on medical exposures and occupational exposures in medicine, with specific attention to developing countries.
  • Improve prevention of medical radiation incidents and accidents. One interesting facet here is a call to work towards including all modalities of medical ionizing radiation as part of a voluntary safety reporting process, with specific emphasis on brachytherapy, interventional radiology, and therapeutic nuclear medicine, in addition to external beam radiotherapy.
  • Strengthen radiation safety culture in healthcare.
  • Foster an improved radiation benefit-risk-dialogue.
  • Strengthen the implementation of safety requirements globally.
  • Develop practical guidance to provide for the implementation of the International Basic Safety Standards in healthcare globally.

Although some of the Bonn Call points are repetitive, the document is noteworthy in terms of setting a minimal set of common rules for a very wide range of stakeholders – manufacturers, health professionals and professional societies.

Point 6 seeks new work on effective’ dose
Point 6 of the Bonn Call is both ambitious and timely. Although the concept of effective dose’ (or effective dose equivalent) was introduced in the mid-1970s to provide a common framework for evaluating the impact of exposure to ionizing radiation via any means, technology’s uneven leaps have not made it easy to follow through. Data for doses by different radiographic imaging modalities used in radiation therapy are scattered widely through literature, making it difficult to estimate the total dose that a patient receives during a particular treatment scenario. In addition, interventional systems are often configured differently from diagnostic set-ups and imaging systems do not distribute radiation in similar ways. For example, planar kV imaging attenuates rapidly along the line of sight, while CT dose is uniformly distributed through a patient. This makes it difficult to sum dose in a radiobiologically consistent manner.

https://interhospi.com/wp-content/uploads/sites/3/2020/08/IH121_Tosh_Radiation-dose_thematic.jpg 300 240 3wmedia https://interhospi.com/wp-content/uploads/sites/3/2020/06/Component-6-–-1.png 3wmedia2020-08-26 14:18:122021-01-08 12:30:47Dose reduction in medical radiation – regulators, industry and healthcare professionals seek common front

IHF World Hospital Congress, 31 Oct. – 3 Nov. 2016

, 26 August 2020/in Featured Articles /by 3wmedia
https://interhospi.com/wp-content/uploads/sites/3/2020/08/47026_CEO-Circle-Ad.jpg 961 700 3wmedia https://interhospi.com/wp-content/uploads/sites/3/2020/06/Component-6-–-1.png 3wmedia2020-08-26 14:18:122021-01-08 12:30:51IHF World Hospital Congress, 31 Oct. – 3 Nov. 2016

Mobile health – a potentially disruptive technology ?

, 26 August 2020/in Featured Articles /by 3wmedia

Mobile health or mHealth has recently become one of the fastest growing and potentially disruptive segments of healthcare technology. Some typical mHealth segments include medication reminders, remote patient monitoring and wellness management. Key challenges faced by mHealth include data storage and management, network availability and maintenance, compatibility and interoperability. The single biggest issue however is considered to be security and privacy – in terms of access control, infrastructure integrity and data anonymity.

M&A, drug costs and mHealth shake up US healthcare
In December 2015, consultants PricewaterhouseCoopers (PwC) said that mHealth ranked just behind mergers & acquisitions (M&A) and the escalating costs of prescription drugs as a key factor shaking up US healthcare.
PwC noted that one reason for such an impact was mHealth’s status as a late starter. Smartphones and apps have been relatively underutilized by the healthcare industry, and playing catch-up has catalysed an ultra-fast pace of growth. The consulting firm noted that 71% of US adults now own a web-enabled smartphone or wireless device and users with health or fitness apps doubled from 16% to 32% in 2015 compared to the year before.
Other figures endorse the enthusiasm about mHealth.
93% of US clinicians now believe that mHealth apps can improve patient’s health, according to a GreatCall survey on their rising popularity. This is well above a level of just 52% in 2013, according to a survey cited by US telecoms carrier Qualcomm. That report also noted that another 16% percent also noted ‘that the use of mobile technology will dramatically change the way that healthcare is delivered in the future.’

Europe and mHealth
The picture is more nuanced in other parts of the world.
In Europe, for example, Pew Research figures show smartphone penetration is roughly equal to US levels in northern countries such as Sweden, Denmark and the Netherlands, as well as on the other side, in Spain. The levels are 60-70% in Germany and the UK and 50% in France. These three, together, account for 45% share of the European mHealth market.
There also are some major differences between European countries in the mHealth climate, as another recent report, by Germany’s r2G, shows. As a result, usage of ePrescription varies dramatically, from 0 all the way to 100%. In Europe, regulatory differences can indeed have profound implications for mHealth. For example, ‘remote treatment of patients is prohibited’ in Germany, ‘whereas in Spain telemedicine is encouraged.’
In spite of being Europe’s largest economy, Germany remains a major challenge. According to a report from FTI Consulting, ‘only 28% of German hospitals have a clear strategy’ on digital healthcare. In spite of this, a proposed new law on eHealth ‘does not even mention the opportunities’ provided by mHealth (or personalized medicine). In effect, Europe has some way to go before it approaches mHealth benchmarks in the US, where doctors in several states can ‘bill health insurance companies for the costs of email-based consultations,’ according to a survey by A.T Kearney.

India among most mHealth-ready
Overall, revenues in the global mHealth market are expected to rise annually at a rate of 33.5% between 2015 and 2020, based on forecasts in an Allied Market Research report. Leading the pack will be the Asia-Pacific, with a growth rate estimated by Allied at more than 35%.

India is a special case for several reasons. Although Pew reports penetration of just 17% in the country in 2015, India recently overtook the US to become the second largest market for smartphones, after China (where penetration is much higher, at 58%).
Indeed, the speed of growth in the Indian market has surprised experts. As recently as August 2015, researchers IDC were forecasting that India would surpass the US in smartphone sales, in 2017.
India is in fact considered as one of the most mHealth-ready markets, in spite of a per capita income which is still among the world’s lowest. A survey in 2012 by PwC and the Economist Intelligence Unit (EIU) explained the reasons for the paradox: ‘In developed markets, mHealth is perceived as disrupting the status quo, whereas in emerging countries it is seen as creating a new market, full of opportunities and growth potential…. Consumers are more likely to use mobile devices and mHealth applications, and more payers are willing to cover the cost of mHealth services.’ The report notes that the pace of adoption of mHealth ‘will likely be led by emerging markets that rank highest among ten countries on a score of mHealth maturity.’

Demand driven by both business and consumers
The Indian case in the PwC/EIU survey illustrates one of the salient features for mHealth, everywhere. mHealth technology is both B2B (business-to-business) as well as B2C (business-to-consumer). Indeed, it is consumers who are pulling mHealth, in both developing and industrialized countries. This is probably less for cost than for reasons of access ( anywhere, anytime’ diagnosis, monitoring and treatment). The title of the PwC/EIU report underscores such an observation: ‘Consumers, it says, ‘are ready to adopt mobile health faster than the health industry is prepared to adapt.’

4 million downloads a day
Overall, the near-frenzied enthusiasm for mHealth is illustrated by figures from German consultant R2G. Even in 2014, it says there were over four million downloads of mHealth apps every day.
The number is expected to keep growing. By 2017, it’s predicted that 50% of smartphone users will have downloaded mobile health apps.

Hospitals and mHealth
In spite of the incipient mHealth consumer boom, heavy-hitters in industry are also marshalling their mHealth strategies.
Hospitals and health plans see mHealth as a tool to contain costs and enhance efficiency, and enhance healthcare safety and quality too. A growing number of top hospitals have begun to incorporate mHealth – the use of mobile technology devices and smartphones for healthcare purposes – to connect patients and clinicians, improve care coordination and reduce avoidable, costly hospital readmissions.

In the US, one driving force for mHealth consists of reforms imposing penalties on hospitals for avoidable readmissions. Although hospital readmissions fell from 19% in 2011 to 17.5% in 2013, more can clearly be done. According to Kaiser Health News’, 2,225 hospitals paid 227 million dollars in penalties during 2013 for high hospital readmission rates.
The reforms have provided strong incentives to implement mHealth systems – for example, to track cardiac rhythms, glucose levels and vital signs, and to identify health issues in time so as to prevent repeat trips.
Evidence for this kind of direct benefit from mHealth is provided by the prestigious Mayo Clinic, who report that use of a smartphone app during cardiac rehabilitation can reduce hospital readmissions by a factor of three. Mayo researchers found that only 20 percent of cardiac patients who used the app visited the emergency department or were readmitted to the hospital within 90 days, compared with 60 percent of those who did not use it.

The role of mHealth in increasing efficiency is apparent from Canada’s Ottawa Hospital. The Hospital and IBM have launched a mobile-enabled platform to streamline workflow and create a circle of care’ around patients. Care providers have 24/7 access to patient information, collaboration tools and available hospital resources via a custom mobile app, which has enhanced process efficiency, leading to more accurate discharge scheduling and reducing over-occupancy rates from levels of 110 percent.

European hospitals are also enthused about mHealth. In Britain, the National Health Service is encouraging remote medical monitoring and mobile health access as part of the country’s digital healthcare revolution, according to a report in The Telegraph’. The programme, which focuses on greater efficiency in providing medical services, includes use of wearables, video link consultations, e-prescription and connected clothing. Its objective is to make virtual healthcare ubiquitous within five years and save the NHS up to 5 billion pounds over a decade.

The pharmaceutical industry and mHealth
The pharmaceutical industry, too, has got into mHealth, with hundreds of mobile apps providing information on drugs, drug interactions and enabling patients to track usage. A study by Avella Specialty Pharmacy found apps focusing on HIV medication significantly boosted adherence. Despite this, it has ‘lagged in mHealth app development and adoption,’ due to concerns about liability and the need to follow strict regulatory compliance.
There are three other reasons for the lack of success. Pharma company app portfolios are not globally available. It is also built around their core products, rather than market demand. In addition, there is no cross-referencing, or a common and recognizable design providing a corporate identity.

Profiling mHealth apps
At present, some sources estimate that there are over 100,000 mobile health apps that have been developed. 85% of the apps are for wellness, while the remaining 15% (or 15,000) are directed at medical purposes. Even though a late starter, as many as 42% of mHealth apps available in major stores have a paid business model.

Nevertheless, the bulk of mHealth apps are forced to struggle.
A November 2015 survey of the global market by R2G found that 62% of app vendors attained less than 5,000 downloads per year for their entire mHealth app portfolio. 11% percent reached over 100,000 downloads. Just 2% had 1 million-plus downloads. Of the latter, about half had been in the business before 2010.
R2G said that as many as 60% of developers of mHealth apps were dissatisfied with the market reception for their apps. Many also found that the performance of the apps fell short of their goals.
The survey also reported that over half mHealth app developers were technology companies, and they viewed the presence of medical professionals on their team as a priority. In terms of targeted customers, patients with chronic conditions were most common, accounting for 48% of apps. Hospitals are the second biggest target, with 32% of developers focusing on them.
Another finding of interest was the fact that the most successful vendors were more likely to develop apps for hospitals as opposed to patients. This may be one of the strongest indicators that the mHealth apps industry still has to mature, and that there is much more to come. During the same month as the R2G survey, New York University School of Medicine released another mHealth report. The study found that though consumers frequently downloaded mHealth apps they ‘don’t necessarily use them a lot.’
For consumers at least, there is much more to explore in mHealth.

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