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PSMA-PET Reduces Prostate Deaths | DeepHealth AI Buy
October 24, 2024
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“Has anyone been to Cuba? They have no access to new cars, so they do what they can to keep the ones they have running. Radiology is now Cuba. We have to make do with what we have.”
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Radiologist recruiter Dan Corbett, in a post on RadHQ.net on how the radiologist shortage is affecting radiology groups.
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Radiology departments, imaging centers, and radiology practices are facing a perfect storm of challenges to deliver high-quality patient care while remaining profitable and competitive. In this Imaging Wire story from RADIN Health, learn how an all-in-one cloud-based platform that combines RIS, PACS, dictation AI, and workflow management can help your radiology practice weather the storm.
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Using PSMA-PET instead of conventional imaging to stage patients with recurrent prostate cancer could reduce deaths by 13% and lead to improved quality of life. The new paper in JAMA Network Open confirms the value of PSMA imaging compared to traditional imaging approaches.
Recurrent prostate cancer is one of the trickiest cancers to manage, especially as biochemical recurrence can occur in up to half of patients getting local treatment.
- PSA tests work well for detecting rising prostate antigen levels that could signify recurrence, but it can be difficult to locate recurrent cancer with existing imaging tools like CT and bone scans.
PET using a new generation of PSMA tracers offers a better solution thanks to tracers that target the PSMA protein that builds up on the surface of prostate cancer cells.
- Previous studies have shown that PSMA-PET is more sensitive and specific for detecting recurrent prostate cancer, especially at lower PSA levels – but the modality’s long-term effects haven’t been explored.
In the new study, researchers wanted to investigate the impact of switching to PSMA-PET on mortality and quality of life using statistical modeling to predict outcomes from three imaging approaches …
- Conventional imaging with CT and bone scan.
- CT and bone scan followed by PSMA-PET for negative or equivocal cases.
- PSMA-PET alone.
They then projected outcomes for a hypothetical population of 1k patients with biochemically recurrent prostate cancer, defined as a persistent or rising PSA of 0.20 ng/mL after prostatectomy or PSA 2.0 ng/mL or higher following radiation therapy. They found …
- PSMA-PET had the lowest number of prostate cancer deaths at 512, compared to conventional imaging plus PSMA-PET (520) or just conventional imaging (587).
- PSMA-PET diagnosed 611 patients with metastasis compared to 630 with conventional imaging plus PSMA-PET and 297 with only conventional imaging.
- PSMA-PET yielded 824 more quality-adjusted life years per 1k patients than conventional imaging.
The Takeaway
The findings are not only good news for patients with recurrent prostate cancer, they are also a boon for developers of commercially available PSMA-PET radiotracers like Lantheus Medical Imaging’s Pylarify (approved in 2021), Telix Pharmaceuticals’ Illuccix (approved in 2021), and Blue Earth Diagnostics’ Posluma (approved in 2023).
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2 Questions about AI for Radiology Leaders
Are today’s radiology AI solutions solving the right problems? And are there other solutions available for AI of brain MRI? Read this article from SpinTech MRI to learn how its STAGE solution can optimize MRI utilization.
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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.
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- DeepHealth Buys Mammo AI Firm: DeepHealth continues to round out its portfolio of AI offerings, this time in mammography AI. The company acquired U.K. developer Kheiron Medical Technologies and its flagship breast AI offering, Mia. DeepHealth already provides mammography AI with its Smart Mammo solution, offered through parent company RadNet’s Enhanced Breast Cancer Detection service. But Mia will bolster its offerings for 2D mammography in the U.K. and Europe, especially given recent studies showing its impact on mammography double reading.
- FDA Digital Health Committee to Meet: The FDA’s new Digital Health Advisory Committee will hold its first meeting November 20-21 in Gaithersburg, Maryland. The FDA set up the committee in late 2023 to guide its regulation of technologies like AI and machine learning, augmented and virtual reality, and wearable devices. Generative AI will be a focus of this meeting, with the FDA concentrating on safety and effectiveness as well as pre-market performance evaluation and post-market monitoring. The FDA has not yet approved a generative AI-based medical device.
- Gradient Acquires DataAppraisal: AI data sharing developer Gradient Health has acquired DataAppraisal, a Kansas City-based provider of anonymized healthcare data for research. DataAppraisal is an early-stage company ($990k pre-seed round raised in 2023) that helps healthcare organizations monetize their de-identified enterprise data – a mission that tracks closely to Gradient’s focus on providing data for AI algorithm training. The agreement in particular will give Gradient access to rural healthcare providers that are often hard to reach.
- Data Provider Avandra Emerges: A new data aggregation provider emerged from stealth this week at the HLTH meeting in Las Vegas: Avandra, an Irvine, California company that’s building a federated network of de-identified medical imaging data. The company is pitching its services to biopharma and medical researchers as well as AI developers that need access to large, multimodality datasets that have been annotated and standardized. As part of the launch, Avandra said it cemented a relationship with Datavant for transparent and secure data exchange within its network of 70k hospitals and clinics.
- GE’s AI Innovations at HLTH: GE HealthCare highlighted several new AI developments at the HLTH meeting. The company said it was launching an AI Innovation Lab to accelerate early-concept AI innovations, many based on cloud technology. These could include AI agents for clinical decision-making, predicting triple-negative breast cancer recurrence, and foundation models to help with AI training for X-ray and breast screening. Separately, GE launched CareIntellect for Oncology, a cloud-based application bringing together disparate oncology data into a single system.
- Radiologists Spend Less Time on Training: The growing volume of medical imaging scans may be having a ripple effect on resident training. A new study in JACR by the Harvey L. Neiman Health Policy Institute found that the percentage of time radiologists spent on resident training dropped from 2008 to 2019 (35% to 26%). Over the same time period, clinical workload grew 80%. The findings could have major implications for resident training and even on radiologist burnout.
- TeraRecon Adds Cardiac MRI to Intuition: TeraRecon has updated its Intuition platform with new capabilities for cardiac MRI exams. The new modules in the Intuition 4.10 release are designed to optimize workflow for common cardiac MRI studies, with some 200 feature enhancements. These include a dedicated cardiac MRI viewer with optimized hanging protocols, new measuring and reporting tools, and other functionality for insights into cardiac function. TeraRecon is highlighting Intuition’s cloud-based SaaS architecture, which makes upgrading and deploying easier.
- Migrants Use Less Imaging: Immigration has become a politically charged issue, especially when it comes to use of healthcare services. But a new study in PLOS Medicine found that recent immigrants to Ontario, Canada on the whole used less medical imaging. Researchers analyzed usage rates for 1.8M immigrants from 1995 to 2016, finding imaging use rates 20-30% lower for CT, MRI, and radiography, but higher for ultrasound. The disparity in imaging use was greater for older migrants who had been in the country longer.
- New Alzheimer’s Tools from Siemens: Siemens Healthineers has received regulatory authorizations in the U.S. and Europe for new software tools for diagnosing Alzheimer’s disease using PET with its syngo.PET Cortical Analysis software. The first, Centiloid scoring, standardizes quantification of plaque in the brain using any of the three commercially available beta-amyloid radiopharmaceuticals. Plaque levels are graded with the Centiloid scale, ranging from 0 for amyloid-negative patients to 100 for typical patients with Alzheimer’s. The second feature enables quantification of tau tangles in the brain on PET scans using the flortaucipir radiotracer.
- 4DMedical Nabs Funding: Australian pulmonary imaging developer 4DMedical has received a grant from the Australian government for AUS$1.9M (US$1.3M) to fund clinical research into its CT:VQ technology. 4DMedical believes CT:VQ could be a better alternative than nuclear medicine exams for ventilation/perfusion (V/Q) studies, and is working with I-MED and Macquarie University on clinical studies and economic evaluations.
- deepc adds iCAD to AI Platform: German AI platform company deepc has added iCAD’s ProFound AI breast cancer AI solution to its deepcOS platform. iCAD is designed to improve breast cancer detection on both 2D and 3D mammography images, and deepcOS users will be able to access ProFound AI tools directly within their current workflow.
- UK Greenlights AI for Fractures: A U.K. regulatory agency has given the go-ahead for clinicians to use AI to analyze X-rays for fractures as an aid to clinicians. The country’s National Institute for Health and Care Excellence said NHS clinicians can start using any of four AI algorithms: Gleamer’s BoneView, AZmed’s Rayvolve, Radiobotics’ RBfracture, and Milvue’s TechCare Alert, with payment set at £1 ($1.30) per image. The NHS is looking to AI to help solve chronic workforce shortages and long patient waiting lists.
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AI for Lung Cancer Diagnosis and Screening
Check out this comprehensive new eBook from Calantic by Bayer on the role of AI in lung cancer diagnosis and screening. It explores AI’s potential role in improving lung cancer screening strategies, identifying high-risk individuals, and enhancing diagnostic accuracy. Download it today.
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AI-Based X-Ray Fracture Analysis
Gleamer’s BoneView AI fracture analysis tool performed well in detecting distal radius fractures on musculoskeletal radiographs in a study published in BMJ. Learn more in this study summary.
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Connect with Intelerad at RSNA 2024
Connect with Intelerad at RSNA 2024 to see how they can empower your radiology team to deliver faster, more accurate diagnostics. Visit them at booth #6113 to see how they’re solving everyday radiology workflow challenges with scalable, cloud-based solutions.
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- The Benefits of an AI Accelerator: What is an AI accelerator, and how can it impact your practice? Learn about the Visage AI Accelerator program and its impact on research and clinical practice in this video from Visage Imaging.
- AI-Driven Novice Heart Failure Screening: We hear a lot about AI’s potential to expand echocardiography to far more users and clinical settings, and a study using Us2.ai’s AI-automated echo analysis and reporting solution showed that echo AI might make novice-led heart failure screening possible.
- Future-Proof Your Medical Imaging: Switch to Optum’s fully managed, cloud-native enterprise imaging platform. Secure, scalable, seamless. Learn more today on how to future-proof your medical imaging!
- Stop Shipping Discs! By pivoting to a 100% digital fulfillment model for patient images and records, you can improve their experience while significantly reducing labor and shipping costs. Find out how on this page from Clearpath.
- 3 Good Reasons to Add Mammography: There are three good reasons to add mammography services at your imaging site as providers expect higher demand for breast imaging services. Get the facts about mammography on this resource page from Siemens Healthineers.
- Keep Patients Engaged with Your Healthcare System: After using PocketHealth, 94% of patients are more confident about their healthcare experience. Learn how to increase follow-up adherence, improve communication, and provide screening tools to keep your patients on track with PocketHealth’s MyCare Navigator.
- Revolutionizing Medical Imaging Data Management: Enlitic has acquired Laitek, and the combination creates new possibilities to revolutionize medical imaging data management. Learn more about Laitek and how its advanced migration services can benefit your radiology practice.
- Revolutionizing Quality in Remote Mammography: Subspecialty radiology platform DocPanel embraced the zero-footprint capabilities of Mach7’s eUnity Diagnostic Viewer to boost productivity, save resources, and bridge coverage gaps in remote areas. Find out how they did it in this case study.
- How to Standardize CT Images: The quality and appearance of CT scans can vary considerably. In this white paper from Riverain Technologies, find out how image normalization can standardize CT images, making them easier to analyze and interpret.
- 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.
- Unlock Next-Generation AI with Foundation Models: Learn about Microsoft’s new family of cutting-edge multimodal medical imaging foundation models designed for healthcare organizations to test, fine-tune, and build tailored AI solutions specific to their needs, while minimizing extensive compute and data requirements.
- 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.
- Reach New Heights with Enterprise Imaging Cloud: Embrace the potential of AGFA HealthCare’s Enterprise Imaging Cloud, a fully managed Software-as-a-Service (SaaS) solution that will transform the handling, storage, and accessibility of medical imaging data. Learn how EI Cloud can help you today.
- Serving the Needs of Image-Driven Clinicians: TeraRecon serves the needs of image-driven clinicians and users across the entire healthcare enterprise. Schedule a demo today to explore the latest updates to industry-leading advanced visualization solutions and learn about new AI capabilities.
- 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.
- AI and Cancer Screening: Cancer screening saves lives, but right now screening is limited to a few cancer types. That could change with AI, which opens new possibilities for earlier disease detection. Learn more in this article by DeepHealth clinical AI leader Greg Sorensen, MD.
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