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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.
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.
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.
YGIA Polyclinic’s Radiology Department has been operating for 27 years and its staff is actively involved in ongoing clinical research and training to ensure the best possible services to all patients. A year ago, it embarked on setting up a breast imaging unit equipped with state-of-the-art technology, culminating in the installation of the Hologic Selenia Dimensions DBT system.
Dr. Annie Papoutsou, Head of the X-ray Department gives us the full picture.
How has your hospital expanded in recent years?
In 2007, after major renovations and an extension of its building facilities, the YGIA Polyclinic private hospital boosted its capacity to 152 beds, extended the number of operating theatres to 12, established and extended the capabilities of its Clinical Laboratory Department, Radiology Department (X-ray, Mammog, Fluoroscopy, MRI, CT, Ultrasound), produced a multi-dynamic Intensive Care Unit (ICU), Obstetrics & Gynecology, and Pediatrics Departments. Furthermore, from mid June 2012, a state-of-the-art Cardio-Vascular Catheterizations Centre was established at the hospital offering the only 24-hour acute percutaneous coronary intervention (PCI) service in Cyprus. Moreover, the hospital has a range of fully equipped ambulances working 24 hours in order to be able to best respond to emergencies.
What type of equipment is used by your department?
Most of our X-ray rooms use the latest DR digital detectors providing superior quality images almost instantly, and are linked to an enterprise-wide fully integrated RiS/PACS.
Last year we organized a breast imaging unit, equipped with the latest technology, FFDM Hologic Selenia Dimensions, a GE ultrasound with strain and shearwave elastography and a Hitachi ultrasound with high frequency linear probe.
In our department we performed more than 90,000 exams yearly.
What was the rationale for selecting the Hologic Selenia Dimensions system?
The decision was based on the special features offered by the Selenia Dimensions; these include:
What are the advantages of Digital Breast Tomosynthesis?
The use of Digital Breast Tomosynthesis in breast screening enables us to find more invasive cancers than conventional 2D mammography alone.
The masses, distortions and asymmetric densities are better visualized with the Selenia Dimension.
But also it can reduce the costs associated with unnecessary recalls and it can reduce the incidence of negative biopsies.
Has the number of exams been affected by the adoption of DBT?
Since the installation the number of mammography exams has increased up to 50%.
The recalls rate has decreased and also additional views have decreased.
When did you decide to acquire the C-View software and what are the benefits?
C-View software was installed from the first day of the equipment installation, giving us the possibility of eliminating the need for conventional 2D exams after 6 months. The combined tomosynthesis and C-View exam makes lower patient radiation dose possible. Tomosynthesis exams with C-View software offer a patient dose similar to a 2D only exam with superior clinical performance for all breast types.
You are also using the Affirm biopsy device –what is the typical biopsy procedure followed in your department?
Up until now we are using the Affirm stereotactic biopsy device and in the next few days we are going to install the Affirm stereotactic tomosynthesis biopsy device to target lesions seen only with tomosynthesis. The typical biopsy procedures followed in our department are the biopsy under the stereotactic guidance and hookwire localization for subtle masses clusters of microcalcifications and architecture distortion.
What do you see as the next step for improving the performance of your department?
Installing I-view with the contrast media.
I-View is a contrast-enhanced mammography technique that may be a viable alternative to breast MRI in performing contrast agent breast imaging. It offers certain advantages over MRI, including reduced cost and shorter procedure times. The imaging combination of contrast enhanced 2D imaging (CE2D) along with a 3D tomo scan, gives additional information beyond a CE2D examination alone, and may allow localization and morphologic evaluation of an enhancing lesion, further increasing the value of the CE2D procedure.
April 2024
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info@interhospi.com
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