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Did Malpractice Risk Kill V/Q Exams? | Microsoft AI Models October 14, 2024
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Together with
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“The story of V/Q imaging’s decline is as much a story about linguistics as it is about clinical validity.”
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Kulkarni S et al, in an article on the decline of V/Q imaging for PE.
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The workforce shortage is putting a severe strain on radiology facilities. But new technologies like enterprise imaging, the cloud, and artificial intelligence should offer relief by enabling radiologists to work more efficiently. In this Imaging Wire Show, we talked to Rob Mayer and Kyle Souligne of AGFA HealthCare about these exciting new developments.
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CT perfusion angiography exams have largely replaced nuclear medicine-based ventilation/perfusion (V/Q) studies for detecting pulmonary embolism. But a new article in Academic Radiology suggests that CT’s rise wasn’t entirely based on clinical efficacy – fears of malpractice risk may have played a role.
V/Q studies can help diagnose PE by enabling clinicians to visualize lung perfusion, showing defects such as blockages in pulmonary vessels. The scans are typically performed in three phases …
- An albumin injection to show pulmonary vasculature.
- A radiopharmaceutical that’s inhaled and imaged with a gamma camera.
- A chest radiograph to correlate findings.
The scans dominated PE imaging in the 1980s, but the rise of CT saw radiology facilities begin to shift.
- CTPA was seen as having higher spatial resolution and was easier to perform than nuclear medicine exams.
But the new article suggests that there were other forces at work as well – in particular, fear of malpractice risk from PEs that weren’t adequately followed after inconclusive V/Q exams.
- The problem originated with clinical guidelines for V/Q reporting that classified some 20% of V/Q studies as “low probability” for PE when they probably would have better been classified as “inconclusive” or “non-diagnostic.”
As a result, a number of “low probability” patients weren’t followed up adequately, with tragic results that later figured into medical malpractice cases …
- A patient who was diagnosed with pneumonia after an inconclusive V/Q exam, sent home, and died one day later of a “massive” PE.
- A patient with leg and chest pain who was given heparin after a negative V/Q scan and later suffered internal hemorrhage; fortunately she survived.
- A patient with “vague symptoms” who had an inconclusive V/Q scan and later died of an undiagnosed PE that some claimed would have been detected on CTPA.
Indeed, the theme of PE malpractice cases began to shift over time, from failure to diagnose V/Q scans to failure to order CTPA exams – which were soon seen as the clinical gold standard.
The Takeaway
Given the fast pace of development in radiology, it’s inevitable that some technologies that were once clinical staples fall by the wayside. But the new article offers a fascinating look at how clinical language can lead to medico-legal concerns that influence physician behavior – often in ways that are impossible to detect as they happen.
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Unlocking Value in Healthcare
How can the Value Realization Pyramid help you unlock value from your technological investments? The pyramid outlines how high-quality data from advanced technologies like AI can drive enterprise-wide workflows and better decisions. Learn more on this page from Enlitic.
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Unify Your Imaging to Improve Clinical Outcomes
Mach7 empowers clinicians with tools to promote better patient care. Find out how their eUnity zero-footprint universal viewer brings together the patient imaging record to provide you with all the information you need to know – when you need it.
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The Clinical Value of Soft-Tissue Chest X-Ray
Soft-tissue techniques can improve the visibility and accuracy of chest X-ray. Learn about two important soft-tissue methods – bone suppression and dual-energy subtraction – in this white paper from Riverain Technologies.
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- Microsoft’s Healthcare AI Models: Microsoft ramped up its investment in healthcare AI by launching a set of medical imaging foundation models to help clinicians and researchers develop their own fine-tuned AI algorithms. The models include MedImageInsight for image analysis, MedImageParse for image segmentation, and CXRReportGen for creating structured reports from chest X-rays. The models are available in Microsoft’s Azure AI cloud catalog, and the launches are part of a package of new innovations in the company’s Microsoft Cloud for Healthcare portfolio.
- AI Cuts Chest X-Ray Turnaround: Lunit’s Insight CXR Triage software slashed chest X-ray report turnaround times by 77% in a new study in European Journal of Radiology. Researchers from Singapore used the algorithm to classify chest X-rays, achieving 99% specificity for triaging urgent studies with a panel of 43 radiologists serving as the gold standard. Performance was also high for non-urgent X-rays, with sensitivity of 93% and specificity of 91%.
- Study Questions AI Efficiency: Has AI been proven to help clinicians work more efficiently? A new literature review in npj Digital Medicine questions that belief. Researchers analyzed 48 studies focusing on medical imaging AI by looking at its impact on reading and report turnaround times. In all, 67% of studies found a reduction in task completion times, but the difference was statistically significant in just 39% of studies, and 24% did not report time reductions. Authors criticized many studies of commercial AI algorithms for conflict of interest.
- Medicare Adds Plaque AI Coverage: CCTA-AI based coronary plaque analysis solutions will soon be covered by Medicare, after four Medicare Administrative Contractors supported coverage for eligible CAD patients (CAD-RADS 1-3) starting on November 24, 2024. CCTA-AI solutions (such as from HeartFlow, Cleerly, and Elucid) will be covered in Medicare beneficiaries with acute or stable chest pain and less than 70% stenosis, adding to plaque’s $950 reimbursement for patients in hospital settings. The other three MACs will continue to review coverage on a case-by-case basis.
- Diet Soda Linked to CAC Progression: It could be time to put down that Diet Coke. A new study found that people who drink large quantities of artificially sweetened beverages had higher coronary artery calcium progression on CT scans. Researchers in China analyzed data from 2.5k people in the U.S. who got CAC scans in the CARDIA study, finding that consumption of artificially sweetened beverages was associated with CAC progression at both low (HR=1.35) and high (HR=1.54) levels compared to non-consumers.
- Konica Minolta Partners with Clearpath: Konica Minolta Healthcare Americas and Clearpath Technologies are joining forces to integrate Clearpath’s medical image and records exchange technology into Konica Minolta’s Exa Platform enterprise imaging solutions, including PACS and RIS. Clearpath’s technology will automate the information request process, enabling Exa customers to process patient data requests 50% faster than with manual or CD-burning methods. Clearpath debuted at SIIM 2023 and has focused on process automation for medical record sharing.
- Gleamer Develops Mammo AI: French AI developer Gleamer is expanding from its core focus on musculoskeletal imaging into mammography AI. At the EUSOBI 2024 meeting in Lisbon earlier this month, researchers presented early results with Gleamer BreastView, a new 2D mammography algorithm under development. In a study with 319 patients, BreastView’s standalone AUC compared to the average of 10 radiologists was 0.87 versus 0.80, a difference that was not statistically significant and that shows BreastView has potential as a supportive tool in clinical settings.
- Therapixel Gets FDA Clearances: Another French AI company, Therapixel, received FDA clearances for new features on its flagship MammoScreen software. New features include screening assessment, breast density analysis, case pre-check to retrieve patient histories, and worklist management to help radiologists organize cases by complexity. Therapixel says the clearances move MammoScreen past a focus on suspicious lesion detection and into support for all areas of breast imaging workflow.
- MRI-Only Breast Cancers Less Aggressive: A new study suggests breast cancers detected only on breast MRI are less aggressive. Writing in European Journal of Radiology, researchers analyzed 435 patients with malignant breast lesions who got breast MRI and second-look ultrasound. Cancers detected only on MRI were smaller than those seen on ultrasound (10 vs. 20 mm), mostly stage I (67%), and more likely to be DCIS (30% vs. 5.2%). Breast MRI has the potential to catch cancers earlier when they can be treated more effectively, but MRI is also the costliest breast imaging modality.
- GE Joins Thera4Care Project: GE HealthCare has joined the Thera4Care consortium, a €25M project to promote wider use of theranostics in Europe. The consortium includes 29 partners from European academic and clinical sites and hopes to expand theranostics beyond a handful of specialized academic centers as well as grow clinical indications for the technology. The project also plans to improve radioisotope production and develop and disseminate new techniques for the use of theranostics, such as a new generation of SPECT/CT scanners.
- New Funding for NM Technologists: Radiotracer developer Telix Pharmaceuticals is partnering with the SNMMI Technologist Section to provide $50k in funding for students entering nuclear medicine technologist programs. The SNMMI-TS/Telix Entry-Level Nuclear Medicine Technology Scholarship will provide $10k each to five nuclear medicine technology students as part of an effort to counter the shortage of technologists. The program starts in 2025.
- Carebot Signs Lung Cancer Pact with BMS: Czech AI developer Carebot signed an agreement with pharmaceutical giant Bristol Myers Squibb to collaborate on solutions to improve lung cancer diagnosis. The partnership will focus on using AI for earlier detection of lung cancer, when it can be treated more effectively, and a pilot program has started at five hospitals in the Czech Republic to integrate Carebot’s AI of X-rays into clinical workflow. BMS markets the Opdivo lung cancer treatment and acquired oncology drug developer Turning Point Therapeutics for $4.1B in 2022.
- Synthesis Lands Strategic Radiology: In a big boost for PACS startup Synthesis Health, the company signed an agreement to provide its software to national radiology coalition Strategic Radiology. Synthesis Health’s cloud-native PACS will be available to Strategic’s 41 radiology practices and 1.8k radiologists. Synthesis emerged from stealth earlier this year as the latest venture from PACS pioneer Murray Reicher, MD, who started DR Systems.
- Glassbeam to Monitor VA Devices: Medical device analytics software developer Glassbeam signed a contract with the U.S. Department of Veterans Affairs Healthcare Technology Management Program to monitor medical devices in the VA’s network. Glassbeam will provide its Service Analytics solution to help VA medical centers monitor their real-time usage and develop predictive analytics to increase equipment uptime and improve efficiency. They will also work through the VA’s SimLEARN national simulation center to expand the number of devices Glassbeam can monitor.
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The Growth of AI in Pulmonology
Learn more about the capabilities of AI for chest imaging in this on-demand webinar from Blackford. You’ll hear pulmonology professionals discuss several promising areas, from acute imaging through chest X-ray analysis to lung cancer screening.
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Apple Vision Pro and Radiology
The Apple Vision Pro headset has the potential to revolutionize how radiologists interact with medical images. In this Imaging Wire Show episode, we talked to radiologist Paul Murphy, MD, and Steve Deaton of Visage Imaging about its exciting future.
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Are You Getting the Most Out of Your Image Exchange Solution?
Ask yourself these 5 questions on this page from PocketHealth to find out whether your enterprise image exchange solution is maximizing patient satisfaction and efficiency and driving revenue.
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- Get the 2024 Radiology Practice Development Report: Medality surveyed more than 3,300 radiologists and discovered the most critical training gaps and growth opportunities in radiology for its 2024 Radiology Practice Development Report. Download your complimentary report today.
- Request an RSNA Meeting with TeraRecon: RSNA 2024 will be here before you know it. Come explore TeraRecon’s latest updates and find out why the company is an award-winning solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery.
- Build Intelligent Connections at RSNA 2024: Visit AGFA HealthCare at booth #2565 at RSNA 2024 to learn how to elevate your radiology practice with enterprise imaging, enabling rapid growth. Find out how their next-generation solutions empower you to read faster and work smarter by scheduling an appointment today.
- The Leader in Molecular Imaging: United Imaging’s uMI portfolio of solutions is designed to help you lead the way in molecular imaging. From digital PET/CT systems designed to stand the test of time to the cutting-edge uEXPLORER total-body PET scanner, discover the uMI difference today.
- Redefining the Value of AI: Check out the next Road to RSNA virtual session from Microsoft at 11 am ET on October 23 to learn more about workflow‑integrated AI and how radiology teams and organizations can realize value quickly with a platform approach.
- Unprecedented Insights Made Possible with AI: With the largest normative dataset of whole-body imaging in the world, Prenuvo’s AI researchers partner with the best academic minds to understand – like never before – what “normal” aging means. Learn about their work today.
- Introducing Merge Consulting Services: How can your radiology practice manage change and expectations in healthcare with workforce flexibility? Merge by Merative’s Merge Consulting Services can help you face the challenges of sourcing expertise and staff. Learn more about it today.
- Making Advanced Cardiac CT Accessible Everywhere: How do you bring cardiac CT to high-risk patients in rural areas? Watch this video from Siemens Healthineers to learn insights into setting up a cardiovascular CT program in a rural area – and how to overcome associated challenges.
- AI Supports Diagnosis of Cognitive Disorders: How can AI support the early diagnosis of cognitive disorders in elderly people? Read this article from DeepHealth on how AI-powered software with MRI can be used with both neuropsychological tests and clinical information to improve early diagnosis of cognitive impairments.
- Fully Automated AI Echo vs. 3D and Human Readers: While 3D echo is becoming more accurate, 2D still dominates clinical care. A new study evaluates agreement in measures of LV volume and function between human readers, echo AI from Us2.ai, and the 3D Heart Model.
- Transform Healthcare with the Cloud: Discover how Optum’s cloud-based medical imaging solutions can slash costs and streamline radiology operations. Visit their website today to unlock a wealth of healthcare insights and resources tailored just for professionals like you.
- Improving the Patient Experience: How is Clearpath improving the healthcare experience for patients? Learn more about the company and its solutions for ditching the disc when sharing images and records with patients.
- MRI Access and the Cost of Inpatient Stays: Longer inpatient stays due to delayed MRI access are a long-standing and costly issue for hospital systems. Find out how STAGE from SpinTech MRI can reduce your MRI backlog and inpatient stays by shortening brain scan times by 30%.
- A Single Source of Truth for Medical Data: Intelerad’s cloud vendor-neutral archive, InteleShare VNA, creates a centralized repository of images regardless of modality, source, or file type. Find out how it can serve as your single source of truth for effortlessly retrieving and utilizing medical data.
- Automated Weight-Bearing Foot Measurements: Learn how Gleamer’s BoneMetrics AI software was able to provide automated measurements on weight-bearing radiographs with high levels of accuracy in a paper published in Skeletal Radiology.
- Integrating AI into Clinical Practice: AI has the potential to revolutionize healthcare, but it requires a collaborative effort between clinicians and AI experts. In this micro-learning course from Calantic by Bayer, learn about the latest developments in healthcare AI.
- Radiology Automation Simplified: Validate, deploy, and discover radiology AI with CARPL.ai. Learn more about the company’s work in taking AI from bench to clinic by booking a demo today.
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