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

A newly published study in Radiology offered a closer look at pertinent computed tomography (CT) findings that may improve differentiation with usual interstitial pneumonia (UIP), fibrotic hypersensitivity pneumonitis (fHP) and non-specific interstitial pneumonia (NSIP).

In an interview with Diagnostic Imaging, W. Taylor Kimberly, M.D., discussed recent research showing that multidirectional diffusion-weighted imaging (DWI) on portable low-field MRI yielded a 95 percent positive predictive value (PPV) for detecting acute ischemic stroke.

Emerging PSMA PET-based nomograms offered 12 percent and 14 percent higher AUCs than the European Association of Urology risk score for risk stratification of patients with biochemical recurrence of prostate cancer, according to an international, registry-based study involving over 11,000 patients.

In the second part of a two-part interview, David Larson, M.D., M.B.A, and Jason Poff, M.D., shared their insights on the recent study of a structured pre-deployment approach to assessing AI models and potential directions in future radiology research.

New study findings, recently published in Insights into Imaging, demonstrate that the deep learning software syngo.CT Brain Hemorrhage VB60 reportedly offers a 93.6 percent sensitivity as well as 99.2 percent negative predictive value for intracranial hemorrhage.