Diagnostic Imaging's Weekly Scan: October 13 — October 19

In addition to an August FDA fast track designation for PSMA PET imaging in patients with suspected metastasis, the radiopharmaceutical 64Cu-SAR-bisPSMA has earned another fast track designation for imaging of biochemical recurrence.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

An emerging deep learning radiomics model based on biparametric MRI (bpMRI) offered a 14 to 17 percent higher AUC range than PI-RADS scoring for predicting the aggressiveness of prostate cancer, according to new research findings.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

Previously approved for the detection of neuritic beta amyloid plaque, the PET agent (18F)florbetaben is currently being evaluated in a phase 3 multicenter trial for the diagnosis of cardiac amyloidosis.

Emerging research suggests that a deep learning model may offer 92 percent sensitivity in lung tumor detection on CT scans and up to a 59 percent reduction in tumor segmentation time.