Diagnostic Imaging’s Weekly Scan: March 8 — March 14

Welcome to Diagnostic Imaging’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.

Could adjunctive AI help predict breast cancer in subsequent rounds of mammography screening?

In a study involving over 135,372 screening mammograms for a cohort of 67,000 women, researchers assessed the prognostic impact of exam risk scores (ExRS) with the adjunctive AI software Lunit Insight MMG. The study findings, recently presented at the European Congress of Radiology (ECR), revealed a baseline mean exRS of 15.4 and a subsequent screening exRS of 73.9 in 451 women who developed breast cancer.

Iodine density measurements with photon-counting detector CT offered higher than 93 percent sensitivity and 95 percent specificity for differentiating between bland and neoplastic portal vein thrombosis in newly published research in European Radiology.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, M.D., offers a closer look at pertinent findings from the GEMINI study, including one AI integration model that facilitated over a 10 percent increase in cancer detection and a 31 percent decrease in radiologist workload.

In a new podcast episode, Daniel George, M.D., Brian Helfand, M.D., Ph.D., and Ashesh Jani, M.D., discussed recent study findings presented at the ASCO-GU symposium, directions for future research and emerging trends in molecular imaging that may help advance precision medicine for patients with prostate cancer.

New research demonstrated that the MRI-based Early Recurrence Individualized Score (MERIS) demonstrated an 18 percent higher C-index than the Barcelona Clinic Liver Cancer (BCLC) staging system for predicting early recurrence of hepatocellular carcinoma (HCC) for patients who had resection of solitary HCC tumors.