Catch up on a variety of FDA news in radiology from the past week.
|Podcasts|November 17, 2010
Shear wave elastography could become standard practice
Dr. Ellen Mendelson is a co-author on a paper exploring the use of shear wave elastography to distinguish between benign and malignant lesions. In an interview with Diagnostic Imaging, she explains what shear wave elastography is and why it could become a standard element of breast imaging.
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Dr. Ellen Mendelson is a co-author on a paper exploring the use of shear wave elastography to distinguish between benign and malignant lesions. In an interview with Diagnostic Imaging, she explains what shear wave elastography is and why it could become a standard element of breast imaging.
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Facilitating enhanced 3D visualization of skeletal anatomy, the BoneEnhance machine learning module reportedly provides automated segmentation of bone and surrounding tissues for the Accuro XV ultrasound system.
A Kaiser score > 5 with breast MRI demonstrated a 97 percent sensitivity and 87.9 percent specificity for predicting malignancy in patients with BI-RADS 0 or 4 presentations on mammography and breast ultrasound, according to a new study.
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.
Catch up on the top radiology content of the past week.
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 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.
Catch up on the top radiology content of the past week.
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