In a new podcast episode, Amir Iravani, MD, FRACP, discusses emerging dosimetry data from the COMPETE trial for 177Lu-edotreotide and how it may help facilitate more personalized treatment for patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs).
In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.
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Catch up on the top radiology content of the past week.
Assessing breast MRI scans, pathology and clinical data, the AI-powered TumorSight Risk software reportedly provides five- and 10-year risk for breast cancer recurrence for women with HR+, HER2-negative stage I-IIIA breast cancer.
While a new article raises provocative questions about the capability of photon-counting CT (PCCT) to perhaps replace diagnostic ICA, the real revolution with this modality is going beyond stenosis measurement to a renewed focus on the disease of atherosclerosis.
Catch up on the latest imaging research presented at the recent American Society for Radiation Oncology (ASTRO) Annual Meeting.
Tightness of the high-convexity sulci (THC) on brain MRI was associated with nearly threefold higher odds of cognitive decline over five to seven years of follow-up, according to a new prospective study involving over 2,100 community-dwelling senior citizens.
An AI model for prostate MRI offered an 89 percent AUC for prostate cancer detection in external validation testing, according to a newly published international multicenter study.
In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.
In a recent episode of our Molecular Imaging in Focus series, Jack Andrews, MD, discussed pertinent findings from a recent intra-patient comparative study of PSMA PET agents in men with recurrent prostate cancer presented at the recent ASTRO conference.
The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study.
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How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
While the allure of partnership or a hierarchical promotion system for those who paid their dues once sounded promising, the current reality amid declining reimbursements, thinning practice margins and private equity acquisitions is going after the gig with the most optimal lifestyle and paycheck.
Catch up on the top radiology content of the past week.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
In a recent interview, Amir Iravani, MD, FRACP, discussed the radiotherapeutic agent 177Lu-edotreotide and new dosimetry data from the COMPETE trial that was recently presented at the ASTRO conference.
While AI offers the lure of efficiency and cleaner writing in scientific research, maintaining the principles of authorship and intellectual engagement is perhaps more important than ever before.
The cloud-based NextMR platform reportedly provides automated 3D bone images of conventional spine MRI images in less than 60 seconds.
Incorporation of pseudocapsule presence into a modified Clear Cell Likelihood Score (m-ccLS) was associated with a greater than 11 percent higher AUC in differentiating benign and malignant renal masses on mpMRI, according to a new study.
For patients with hepatocellular carcinoma (HCC), perfusion beyond tumor margin on contrast-enhanced ultrasound that exceeds gray-scale ultrasound tumor measurement by 5 mm is associated with a 76 percent higher risk of worse recurrence-free survival, according to newly published research.
In the latest episode of his “Interventional Radiology in Focus” series, Mina Makary, MD, discusses the utility of prostatic artery embolization for treating benign prostatic hyperplasia, key imaging considerations and pertinent technique pearls to help facilitate optimal outcomes.
The AI-powered SwiftSight Body Composition software reportedly provides automated quantification of muscle and adipose tissue after a brief MRI scan.
In the second of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss how to handle disagreements with adjunctive AI in breast imaging, whether to include AI assessments in PACS, and whether patients should pay for the use of adjunctive AI.
Has the barrage of passwords, PINs and authenticator apps gone around the bend to a point where it hampers efficiency and productivity?
Catch up on the top radiology content of the past week.
Catch up on key neuroradiology news and research from the past month, including recently published studies involving white matter hyperintensity findings on brain MRI, MRI-enhanced amyloid PET and the newly FDA-approved PET agent floretyrosine F18 for glioma imaging.
Magnetic resonance imaging offered a 29 percent higher sensitivity than CT for differentiating liver metastases, but CT provided 12 percent higher sensitivity than MRI for assessing vascular invasion, according to a new 40-study meta-analysis.
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.
