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This year at the European Congress of Radiology (ECR), Fujifilm displays its evolving portfolio of medical informatics and Enterprise Imaging innovations, presenting REiLI, its Artificial Intelligence (AI) technology initiative, and enhanced Synapse functions with SYNAPSE 3D CONSOLE MODE.
Fujifilm Medical Systems Europe will celebrate SYNAPSE’S 20-year anniversary and will present, REiLI the company’s global Medical Imaging and Informatics Artificial Intelligence (AI) technology initiative at the European Congress of Radiology (ECR) annual meeting to be held from February 27th to March 3rd, 2019 at the Austria Congress Center in Vienna, Austria.
Under the REiLI brand, Fujifilm is developing AI technologies that strongly support diagnostic imaging workflow, leveraging the combination of deep learning in its AI technology with the Company’s image processing heritage. Fujifilm’s artificial intelligence software is a work in progress and is not commercially available in Europe.
Applications currently in development include, but are not limited to: Region Recognition, an AI technology to accurately recognize and consistently extract organ regions, regardless of deviations in shape, presence or absence of disease, and imaging conditions; Computer Aided Detection, an AI technology to reduce the time of image interpretation and support radiologists’ clinical decision making; Workflow Support, using AI technology to realize optimal study prioritization, alert communications of AI findings, and report population automation. At Fujifilm’s in-booth AI Center, it will be possible to see live demonstrations of AI delivering enhanced workflows.
SYNAPSE 3D CONSOLE MODE is the powerful native Advanced Visualization workflow in Synapse PACS. Synapse 3D is designed to enhance visualization features in Synapse 5. It offers advanced 3D rendering in the Synapse PACS Viewer to perform fast and accurate extractions, stenosis measurements, brain perfusion CT, MRI, and more.
The Fujifilm Healthcare IT platform showcased at ECR includes also the comprehensive medical informatics and enterprise-imaging portfolio:
SYNAPSE 5 is our next generation PACS, Synapse is one of the fastest medical imaging solutions in the industry, offering sub second delivery of extremely large datasets. Its underlying architecture promotes significantly less bandwidth consumption and tighter security.
SYNAPSE VNA is the most secure, comprehensive application for ingesting, storing and providing access to the complete imaging record. It securely integrates more specialties, more devices, and more data than any other VNA.
SYNAPSE MOBILITY Enterprise Viewer uses the latest server-side rendering technology to stream imaging securely and quickly to any authorized user. It can be used within applications, directly from the EHR, or on our mobile device apps. Both within and outside of the Enterprise, giving access to imaging immediately and helping clinicians making the most informed and accurate decisions.
SYNAPSE 3D is an enterprise-wide solution for quickly accessing multiple Advanced Visualization processing tools (in excess of 50 modules). Designed for use across multiple specialties including radiology, cardiology, surgery and more. Full integration with Synapse PACS means one-click extremely fast image processing from any Synapse client.
SYNAPSE CWM, Clinical Workflow Manager, is the most advanced Radiology Information System on the market today. It continues to evolve to support the unique imaging and information needs in today’s radiology department. One platform can support acute care facilities, imaging centres, and radiology practices providing distributed diagnosis.
SYNCRO-DOSE is the Radiation Dose Index Monitoring system, compliant with the Directive 2013/59 / EURATOM of the European Union. Syncro-Dose is a comprehensive system for monitoring and managing patient radiation exposure at enterprise level across different imaging modalities and hospital facilities.
THE 20-YEAR ANNIVERSARY OF SYNAPSE: THE WORLD’S FIRST WEB- BASED PACS
In 1983, Fujifilm launched Fuji Computed Radiography (FCR), becoming the first company in the world to offer a digital X-ray diagnostic imaging system. Medical professionals quickly learned the merits of digital diagnostic images, including ease of storage and processing. They found that images from a variety of tests and procedures could be shared within and among facilities, and the images could even be used for remote diagnosis and consultation. Recognizing this trend, Fujifilm saw the opportunity to leverage the technologies it had developed for FCR and contribute to the evolution of connectivity within and among medical facilities. What made Fujifilm’s SYNAPSE concept different was that it used the emerging Internet and web technologies instead of private networks. It was, in essence, a Web-based PACS: the first in the world.
Offering outstanding medical connectivity based on the convenient and efficient sharing of information, SYNAPSE made possible initial diagnosis at a local clinic, followed by more complete testing and treatment at a larger medical facility, in turn followed by periodic monitoring at the original local clinic. SYNAPSE’s rapid rate of adoption was due in large part to its capability, to contribute significantly to the quality of medical care, including support for the important objective of informed consent. Nowadays 5000 Synapse PACS systems are installed in healthcare facilities around the world, earning the largest market share worldwide (estimation based on a set of data from multiple market research studies), and last September “SYNAPSE 3D” (also known as Synapse Vincent in some global markets) a 3D image analysis system, won the Red Dot Award: Communication Design 2018 – the prestigious international design award in recognition of superior design, outstanding performance, and excellent operability.
Sepsis is a potentially fatal condition after the immune system over-reacts to an infection, leading to shock and organ failure. It is most frequently provoked by commonplace bacteria. Globally, over 30 million people develop sepsis each year. Some 6 million die as a result. Although there has been progress in controlling deaths from sepsis in recent decades, the challenge is still a major one. Indeed, in industrialized countries, the incidence of sepsis is higher than that of new cases of cancer.
Unpredictable and terrifying
Sepsis is frequently encountered in a hospital setting. It is also a leading cause for hospital readmission. In the US, studies estimate that one of 3 people who die in hospital have sepsis.
One of the biggest challenges for clinicians is that sepsis occurs unpredictably and progresses at terrifying speed. This makes timely diagnosis a tough call.
Definitions of sepsis have also tended to vary. In 2018, a working group of 19 specialists, convened by the Society of Critical Care Medicine in the US and the European Society of Intensive Care Medicine (ESICM), updated the clinical definitions and criteria for sepsis and septic shock. The taskforce recommended defining sepsis as “life- threatening organ dysfunction caused by an inappropriate host response to infection.” It also concluded that the term ‘ severe sepsis ‘ was redundant.
Rory’s Regulations
Nevertheless, there has been some progress in recent years in understanding sepsis and standardizing approaches to diagnose, manage and treat the condition.
In 2012, Rory Staunton, a healthy 12-year-old from New York, died due to the fact that his sepsis was not diagnosed. In the wake of this, the government of New York State mandated all hospitals to comply with protocols to improve the early diagnosis and treatment of sepsis and septic shock, and made it compulsory for reporting all sepsis cases to the Department of Health.
The New York Sepsis Initiative, which the media called Rory’s Regulations after the young victim, essentially consist of two treatment bundles.
The first is a 3-hour bundle, and is indicated for patients with severe sepsis and needs to be activated within three hours of a patient’s arrival at hospital. It includes blood culturing to determine choice of antibiotics, starting antibiotic treatment and assessing blood lactate levels – an important marker for sepsis.
The second, 6-hour bundle, is earmarked for patients with septic shock and needs to be carried out within six hours of their arrival at hospital. It includes administration of intravenous fluid, vasopressors to contract blood vessels and a follow-up check on lactate levels.
Assessing the New York Sepsis Initiative
The New York Sepsis Initiative was assessed earlier this year by a team from Warren Alpert Medical School at Brown University. They studied data from 91,357 patients, treated over a period of 27 months at 183 hospitals.
The findings were encouraging. The two sepsis bundles were used in 81.3 percent of patients. After implementation of the protocols, compliance steadily increased across hospitals in the State. The study’s most important finding, however, was that patients administered the bundles saw a reduction in mortality risk over 4 percentage points, at 24.4 percent. The mortality risk in those who did not receive the bundles was 28.8 percent. In addition, hospitals complying with the protocols saw a significant reduction in average length of stay.
Limits to fighting sepsis
While the New York State initiative provides strong evidence of the potential for standardizing sepsis-fighting measures, another study this year shows there may be limits to its scope. The study, by researchers from Brigham and Women’s Hospital in Massachusetts, was published in March by ‘JAMA Network Open’. It sought to investigate the precise role of sepsis in hospital deaths and estimate how many were preventable.
The researchers studied records of 568 people from six acute care hospitals for the years 2014 and 2015, who had died in the hospital or after discharge to hospice care. Using a 6-point Likert scale, ranging from “definitely preventable” to “definitely not preventable,” they concluded that some 90 percent of deaths were not preventable in a hospital setting. On the other side, 1 in 8 sepsis-related deaths were deemed “potentially preventable with better hospital-based care.”
The key reason for such a prognosis was that most sepsis fatalities occur in medically complex, older patients with severe co-morbidities, including chronic conditions such as cancer, heart and lung disease. In the few cases of death due to sub-optimal care, the most common causes included late antibiotic administration.
The lead author of the study, Dr. Chanu Rhee, called for more “innovation in the prevention of underlying conditions” to reduce sepsis mortality by a significant margin.
Long term decline in sepsis death rates
Although the challenge of sepsis remains serious, there has been significant progress over recent decades. In October 2018, the annual meeting of ESICM (the European Society of Intensive Care Medicine) was presented with an analysis of 30-year trends in sepsis deaths. Using World Health Organization figures, researchers from Harvard Medical School and Imperial College London (ICL) found that the average death rate from sepsis in Europe, North America and Australasia fell from 36.2 per 100,000 men in 1985 to 27.1 in 2015, and for women, from 23.2 per 100,000 women to 19.6.
Countries which managed to reduce death rates most significantly were Finland, Iceland and Ireland, while increased rates were noted in both Denmark and Lithuania.
Prospects for managing and treating sepsis in future years is likely to improve due to several new weapons, ranging from targeted drug development to artificial intelligence. Growing interest in this field is indicated by more than 200 sepsis biomarkers approved by the US Food and Drug Administration (FDA), among them interleukins, C-reactive protein and procalcitonin.
MIT’s IL-6 sensor system
It is known that interleukin-6 (IL-6), a protein produced in response to inflammation, begins to increase a few hours prior to other sepsis symptoms. IL-6 levels have not been strong enough to be detected by traditional tests. However, new sensor technologies appear to offer promise.
Researchers at the Massachussets Institute of Technology (MIT) have developed a small microfluidic sensor which can reportedly detect sepsis in a small blood sample (such as that obtained from a finger prick) within 25 minutes. The system uses antibody-laced magnetic microbeads in one fluid channel, which mixes with the blood sample and identifies the IL-6 biomarker. Meanwhile, another channel attaches the biomarked beads to an electrode. When a current is run through the electrode, a signal is produced each time an IL-6 bead passes through.
The magnetic detection system is far less expensive than the high-end optics required by conventional assays, and requires far less blood. The MIT researchers state that they will eventually be able to detect minute increases in IL-6 during the test itself. They are now continuing work on researching other proteins which act as early markers for sepsis detection and would reinforce diagnostic accuracy.
Early warning sepsis indicator
A new hematological biomarker, introduced in 2018 by Beckman Coulter as the Early Sepsis Indicator, is reported as part of a routine complete blood count (CBC) and measures morphological changes in monocytes, cells which play a role in the dysregulated immune response to sepsis. A positive result alerts clinicians to a higher probability of sepsis at an early stage
Thermography tools
Another novel diagnostic technique is based on the fact that abnormal body temperature patterns accompany the earliest stages of sepsis. University of Missouri researchers have proposed using infrared thermography to measure the difference between body extremities and a patient’s core temperature. The team have developed an automatic real-time system which calculates this, based on a frontal and lateral infrared thermogram of the face. Writing in a recent edition of the ‘International Journal of Data Mining and Bioinformatics’, they state the system works successfully, irrespective of the angle of the head relative to the imager and differences in backgrounds.
Targeting enzymes
Other efforts involve new drugs. One priority consists of signalling pathways which control immune cell behaviour during sepsis. So far, most research on inflammation has focused on kinases, the enzymes which transfer phosphate groups to specific substrates.
In August 2019, researchers from the University of California San Diego (UCSD) School of Medicine discovered a wholly new target area – the enzymes which remove them. In particular, they focused on PHLPP1, an enzyme which impacts upon inflammation by removing phosphates from the transcription factor known as STAT1, which controls inflammatory genes.
Using a mouse model, the researchers administered live E. coli bacteria and lipopolysaccharide (LPS), to both PHLPP1-deficient and normal mice. They found that the former fared far better, with half surviving infection-induced sepsis after 5 days – compared to zero for normal mice. The UCSD researchers believe that inhibiting PHLPP1 might form the basis for new sepsis treatments in humans, offering the means to control the dangerous inflammation of sepsis while maintaining the critical bactericidal properties of white blood cells.
Non-antibiotic drugs against sepsis
Researchers at the Royal College of Surgeons in Ireland (RCSI) have tested a compound called cilengitide (brandname InnovoSep) in a preclinical trial. A key feature of InnovoSep is that it is not an antibiotic, and does not face the limitations associated with the latter – namely, the need for rapid identification of causative bacteria and growing resistance to antibiotics.
Cilengitide is an antagonist of alpha-v beta-3, the key endothelial cell integrin which mediates the adhesion of cells to the extracellular matrix. In everyday terms, the drug prevents bacteria “from getting into the bloodstream from the site of infection by stabilizing the blood vessels so that they cannot leak bacteria and infect the major organs,” according to Steven Kerrigan of the RCSI.
Artificial intelligence
To some, however, artificial intelligence (AI) is seen as potentially the most exciting frontier in the fight against sepsis. In 2018, the journal ‘Nature Medicine’ featured an AI system developed by scientists at Imperial College London, which proved to be more reliable predicting the best treatment for sepsis, as compared to human doctors. This was after it had ‘learned’ from an analysis of 100,000 patient records and clinical decisions in intensive care units about sepsis over a 15-year period.
Another promising AI system against sepsis has been developed by Sentara Healthcare in the US. Sentara’s sepsis prediction tool is based on identifying at-risk patients by using an algorithm to spot patterns from some 4,500 pieces of data in an electronic record. These focus on metrics such as body temperature, heart rate, blood tests, gender, medical history, etc.. Sentara had previously developed a ‘sepsis sniffer’ which detected when a patient had just begun to have sepsis. The current system goes further, and does not wait until a patient has already developed the disease.
While everyone in the healthcare industry agrees that early detection of breast cancer saves lives, much less consensus can be found across the broader conversation of breast cancer screening in general. This inconsistency is especially apparent as it pertains to breast density, an issue that carries significant weight for both clinicians and patients. It is necessary for radiologists to not only acknowledge and understand how breast density impacts screening in general, but also to recognize the discrepancies in today’s breast density protocols, best practices for handling them and how this can affect clinicians and patients.
by Tracy Accardi
To start, consider the way a patient’s breast density is currently assessed. Most commonly, radiologists complete a visual assessment, which involves looking at digital images of the patient’s breasts and determining which of the categories her tissue fits into best according to a classification system known as the Breast Imaging Reporting and Data System (BI-RADS). There are four classifications to establish breast density type, which include – from least to most dense – fatty, scattered fibroglandular, heterogeneously dense, and extremely dense. Although the four categories help establish what radiologists should be looking for visually to determine if a woman has dense breasts, each radiologist’s individual perceptions are open to interpretation, potentially leading to inconsistencies in classification. As a result, some women may be misinformed about what their breast density is, which can be problematic considering breast density has long been recognized as a risk factor for cancer. In fact, women with very dense breasts are four to five times more likely to develop breast cancer than women with less dense breasts [1,2].
Screening protocol for dense breast patients
Once a woman’s breast density is classified, there is a good deal of debate regarding next steps for breast cancer screening. In fact, in a 2017 Kadence study, only 32 percent of the surveyed radiologists in Europe indicated they have a formal screening protocol in place for patients with dense breastS [3]. There are a number of modalities radiologists can choose to utilize when screening women for breast cancer, however, very dense breasts are challenging to read, particularly when using traditional 2D mammography. This is because suspicious calcifications appear white on a mammogram, blending in with dense breast tissue that is similar in colouring that is also known as a “masking effect.” Therefore, the imaging modality used to screen patients, especially those with dense breasts, truly matters. In the U.S., for example, Hologic’s 3D Mammography Exam is the only mammogram that is FDA-approved as superior to standard 2D mammography for routine breast cancer screening of all women, including those with dense breasts [4]. Despite this, there are no official guidelines that radiologists are encouraged to follow when screening their patients with dense breasts. As a result, patients may be missing the opportunity to receive a breast cancer diagnosis earlier on so they can start treatment right away because they weren’t screened with the most appropriate technology.
Clearly, there are many ways that clinicians across the world are currently approaching breast density protocols, especially as they pertain to assessment and screening. These inconsistencies are creating confusion among clinicians and patients alike. Fortunately, there are a number of solutions for this issue. When assessing density, radiologists should consider technology available to them to help remove subjectivity from their evaluations. In fact, clinicians can combine their patient-specific knowledge with artificial intelligence (AI), which—thanks to machine learning-based algorithms—can be used to classify breast tissue within the BI-RADS category, allowing for objective, accurate assessments. As a result, women can and should be better informed about what their breast density truly is, which may help those who didn’t realize they were at risk for cancer to be more compliant with screenings. Additionally, radiologists and their facilities should offer their patients the best possible technology that exists for screening dense breasts, pending they have no extenuating limitations based on their individual patient profiles.
Healthcare professionals owe it to their patients to find solutions that provide the best possible outcomes. By making breast density and the inconsistencies surrounding it a priority for reconciliation, radiologists can best deliver care to their patients.
References
1. Boyd NF, Guo H, Martin LJ, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 356(3):227-36, 2007.
2. Yaghjyan L, Colditz GA, Collins LC, et al. Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics. J Natl Cancer Inst. 103(15):1179-89, 2011.
3. Kadence study conducted in partnership with Hologic in 2017. Data on file.
4. FDA submissions P080003, P080003/S001, P080003/S004, P080003/S005.
The author
Tracy Accardi, Global Vice President of Research & Development for Breast & Skeletal Solutions at Hologic, Inc.
April 2024
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