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Does fractional flow reserve (FFR) or quantitative plaque burden from CCTA provide greater prognostic insight into coronary disease?

In the first of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD share insights on the utility of AI in breast imaging with respect to potential advantages, current concerns and future directions.

Catch up on the most-well viewed radiology content in September 2026.

The BiPASS program, which combines 68Ga PSMA PET imaging with prostate MRI prior to the use of prostate biopsy, is slated to be evaluated in an impending phase 3 trial.

For patients with localized prostate cancer, stereotactic body radiotherapy (SBRT) offered comparable freedom from biochemical/clinical failure at eight years and nearly 40 percent lower urinary incontinence in comparison to radical prostatectomy, according to research presented at the ASTRO conference.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in September 2026.

Given the increasing prevalence of Alzheimer’s disease and a staggering number of people with dementia who are undiagnosed, this author discusses five essential keys for radiologists and their colleagues to facilitate earlier detection, precision care treatment and monitoring to help ensure timely care and intervention.

For patients with small cell lung cancer (SCLC), there was a 40 percent improvement in cognitive failure-free survival (CFFS) with brain MRI alone in comparison to the combination of brain MRI and prophylactic cranial irradiation (PCI), according to research presented at the ASTRO conference.

Constant grumbling from an attending radiologist about the road ahead may be a sign that his or her best teaching years may be in the rear-view mirror.

Catch up on the top radiology content of the past week.

In a recent interview, Shadpour Demehri, MD, discussed new research examining connections between deep learning assessment of bone mineral density on chest CT, brain MRI data and the potential for enhanced risk stratification in patients with diabetes.

Catch up on the top AI-related news and research in radiology over the past month.

A deep learning model developed for predicting BI-RADS assessments from dynamic contrast-enhanced (DCE) breast MRI had over a 14 percent lower AUC than radiologist evaluation in external validation testing.