In the second part of a two-part interview, Nina Kottler, M.D., says the transparency emphasis of the recent FDA guidance on AI-enabled software is welcome but needs to go beyond additional documentation to clarify how adjunctive AI is making its decisions.

In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.

Does experience soften one’s threshold for pushing back against extraneous imaging protocols and other slights in radiology?

Catch up on the top radiology content of the past week.

In the second part of a two-part interview on the recently published appropriate use criteria for brain positron emission tomography (PET) for patients with mild cognitive impairment (MCI), Phillip Kuo, M.D. discusses clinical cases involving the use of amyloid and tau PET imaging.

In order to flip the script on the impact of the radiology workforce shortage, radiology groups and practices need to make sound investments in technologies and leverage partnerships to mitigate gaps in coverage and maximize workflow efficiencies.

In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.

The CDM Insights software, which can be utilized with scans from 1.5T and 3T MRI, reportedly provides new measurements of cortical thickness and brain microstructure.

In the first part of a two-part interview, Nina Kottler, M.D. offers insights and perspective on the recently issued guidance from the FDA on AI-enabled devices and how it may impact developers in the radiology field.

In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.

Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.

In a recent interview, Phillip Kuo, M.D., discussed the impact of newer anti-amyloid antibody therapies for Alzheimer’s disease upon recently issued appropriate use criteria (AUC) for amyloid positron emission tomography (PET) imaging as well as the incorporation of tau PET into the AUC for patients with mild cognitive impairment.

Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.

Experience gradually transforms an initial tendency to overcall findings in radiology to more of a reserved under calling on radiology reports.

Catch up on the top radiology content of the past week.