Diagnostic Imaging's Weekly Scan: June 23-June 29

The use of AI software for digital breast tomosynthesis (DBT) facilitated a higher cancer detection rate and over double the PPV for exams with abnormal interpretation, according to a newly published study.

In a second part of a new podcast episode on recently published research on projected radiation-induced cancers from computed tomography (CT) scans, Mahadevappa Mahesh, MS, Ph.D., and Joseph Cavallo, M.D., offer current perspectives on cardiac CT dosing, AI advances and the importance of teamwork in ensuring appropriate dosing for CT.

New research findings suggest that image quality and lesion conspicuity are significantly lower with ultrafast breast MRI in comparison to standard dynamic contrast-enhanced breast MRI.

In a new podcast, Mahadevappa Mahesh, MS, Ph.D., and Joseph Cavallo, M.D., share their perspectives on recently published research looking at projections for future radiation-induced cancers from computed tomography (CT) scans.

For DBT breast cancer screening, 47 percent of radiologist-only flagged false positives involved mass presentations whereas 40 percent of AI-only flagged false positive cases involved benign calcifications, according to research presented at the recent American Roentgen Ray Society (ARRS) conference.

For patients with recurrent or metastatic prostate cancer, new research findings showed no significant difference in the sensitivity of 18F-piflufolastat PET/CT between patients on concurrent hormone therapy and those without hormone therapy.