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

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 a variety of FDA news in radiology from 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.

While better imaging may reduce the need for additional diagnostic tests, it may also eliminate the reimbursement that comes with those additional tests.

Offering telescoping and high-flow configurations, the TriNav Advance device reportedly provides interventional radiologists with improved access to small distal vessels during liver embolization procedures.

The CARE Chest X-Ray (CXR) Triage software reportedly bolsters consistent flagging of suspicious chest X-rays for lung collapse and pneumomediastinum across reviewing readers of different experience levels.

In a study involving over 700 participants who had chest CT and brain MRI, those with diabetes and lower vertebral bone mineral density (vBMD) had a nearly five percent faster total accumulation of white matter hyperintensity (WMH) in comparison to those without diabetes.

Indicated for the treatment of foregut, midgut and hindgut neuroendocrine tumors, the radiopharmaceutical Bravnetsa is reportedly bioequivalent and therapeutically equivalent to the previously FDA-approved Lutathera.

Newly cleared findings for the adjunctive AI platform a2z-Abdo-Triage include acute appendicitis, renal traumatic injury, ureteral stone and retroperitoneal hematoma.

In multivariable external testing, tumor structure habitat phenotypes from pre-treatment MRI revealed more than a doubling of recurrence risk for women with stage 2 and stage 3 breast cancer.

Could a la carte pricing be a consideration in improving revenue for radiologists in private practice?

Catch up on a variety of FDA news in radiology from the past week.

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

Reportedly one of the first FDA-cleared chest X-ray AI software platforms derived from a foundation model, the Chest Xray software facilitates detection and localization of lung nodules, pneumothorax, mediastinal abnormalities and other thoracic abnormalities.

Incorporating structural MRI to improve PET imaging resolution, the MICSI-PET software also offers automated Centiloid quantification from amyloid PET scans.

Emerging research demonstrates the increasing stability of attenuation on clinically relevant VMIs with photon-counting CT and a redefined role of kV that may have implications for longitudinal quantitative CT.

For patients with intermediate-risk prostate cancer, those with lower apparent diffusion coefficient (ADC) values on pre-treatment DWI MRI had a fourfold higher prevalence of distant metastasis in a study with a 10.3-year median follow-up.

In the second of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss challenges with evaluating value and ROI for AI software, the physician time required to do so, and possible solutions to facilitate improved clarity and consistency with AI reimbursement.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, MD, MPH, FSBI, offer pertinent takeaways for breast radiologists from recently issued guidelines for addressing proliferative breast lesions with atypia and lobular carcinoma in situ (LCIS).