Diagnostic Imaging's Weekly Scan: February 15 — February 21

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.

New research revealed that a “quadruple-low” radiation dosing protocol with photon-counting CT provided significantly higher image quality and reduced contrast-induced nephropathy in comparison to energy-integrating detector CT (EID CT) for patients with lung cancer.

A machine learning model incorporating cardiac MRI and clinical data provided a 91 percent AUC for predicting major adverse cardiovascular events (MACE) in patients with STEMI, according to a new study involving over 1,000 patients and a median follow-up of 40 months.

In a recent interview, Yulin Ge, M.D., discussed emerging research showing correlations between brain MRI findings in patients with Long Covid and established blood biomarkers for Alzheimer’s disease.

Emerging research demonstrates that AI assessment of prostate MRI scans may lead to improved efficiency with decision-making on pursuing prostate biopsies. At a 31 percent cancer detection rate (CDR), study authors found that adjunctive AI facilitated higher grade selectivity and selective biopsy avoidance in comparison to unaided interpretation for prostate MRI scans.

In comparison to ⁶⁸Ga-PSMA-11, ⁶⁴Cu-SAR-bisPSMA more than doubled the rate of detection for prostate cancer recurrence and facilitated changes to the treatment plan in 44 percent of patients, according to phase 2 research findings to be presented at the upcoming European Association of Urology (EAU) Congress.