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In a recent interview, Francesco Giganti, MD, PhD, discussed findings from a recent multicenter study demonstrating the ability of an AI software to provide significant clarity to initial PI-RADS 3 assessments on MRI and facilitate a nearly 19 percent reduction in unnecessary prostate biopsies.

The NEXT-Cue AI software, which incorporates analysis of brain MRI scans, reportedly facilitates prognostic assessments of potential progression from mild cognitive impairment (MCI) to Alzheimer’s disease within five years.

In a new podcast episode, Amir Iravani, MD, FRACP, discusses emerging dosimetry data from the COMPETE trial for 177Lu-edotreotide and how it may help facilitate more personalized treatment for patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs).

In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.

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

Assessing breast MRI scans, pathology and clinical data, the AI-powered TumorSight Risk software reportedly provides five- and 10-year risk for breast cancer recurrence for women with HR+, HER2-negative stage I-IIIA breast cancer.

While a new article raises provocative questions about the capability of photon-counting CT (PCCT) to perhaps replace diagnostic ICA, the real revolution with this modality is going beyond stenosis measurement to a renewed focus on the disease of atherosclerosis.

Catch up on the latest imaging research presented at the recent American Society for Radiation Oncology (ASTRO) Annual Meeting.

An AI model for prostate MRI offered an 89 percent AUC for prostate cancer detection in external validation testing, according to a newly published international multicenter study.

In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.

In a recent episode of our Molecular Imaging in Focus series, Jack Andrews, MD, discussed pertinent findings from a recent intra-patient comparative study of PSMA PET agents in men with recurrent prostate cancer presented at the recent ASTRO conference.

The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study.