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.
|Articles|February 6, 2012
VuCOMP Gets FDA Approval for Mammo CAD System
Author(s)Diagnostic Imaging Staff
Computer-aided detection system developer VuCOMP Inc. has received FDA premarket approval for its film mammography CAD software.
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Computer-aided detection system developer VuCOMP Inc. has received FDA premarket approval for its film mammography CAD software. This is the first new mammography CAD system approved by the FDA since 2007, the company said.
M-Vu is indicated for use in screening mammography to identify areas consistent with breast cancer for radiologist review after completing an initial read, according to the company.
In a reader study at the University of North Carolina at Chapel Hill, physicians using the M-Vu CAD system were more effective at reading mammograms and demonstrated a significant increase in the ability to discriminate between cancer and noncancer, according to VuCOMP.
The company will be providing a digital version of the system in the “near future,” VuCOMP president and CEO Jeff Wehnes said in a statement.
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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.
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Catch up on the top radiology content of the past week.
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