Jeff Hall

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

In a recent interview, Manisha Bahl, MD, discussed new breast ultrasound research findings that showed 16 percent higher specificity for breast cancer with adjunctive AI in comparison to unassisted interpretation.

AI software identified breast cancer missed by radiologists on one prior screening DBT exam in 26.8 percent of patients and on three prior screening DBT exams in 11 percent of patients, according to a study involving over 300 women that was presented at the Society of Breast Imaging conference.

In a recent interview with Diagnostic Imaging, Sujith Kalathiveetil, MD, FACC, discussed the evolution of coronary computed tomography angiography (CCTA), AI-enabled tools and the potential for future innovations with CCTA.

The Rembra CT reportedly facilitates high-throughput imaging for high-volume settings such as emergency departments and the Rembra RT and Areta RT platforms offer an extended 85 cm field of view and 4D CT to enable enhanced accuracy in tumor targeting.

PlaqueSegNet, an emerging deep learning model for coronary plaque quantification based off CCTA exams, offered a greater than 90 percent intraclass correlation coefficient agreement with intravascular ultrasound (IVUS) and expert readers across four separate datasets.

In a recent interview, Andrew Del Gaizo, MD, and Nicholas Galante, MD, shared their thoughts and perspectives on increasing imaging volume, the sunsetting of PowerScribe 360, AI hype and promise, and potential opportunities in radiology.

Facilitating real-time visualization of deep vessel structures and high-resolution surface detail within a single workflow, the hybrid intravascular ultrasound (IVUS)/optical coherence tomography (OCT) platform will be launched in the second quarter of 2026.

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

Key features with version 1.2 of the 3D mammography algorithm include selectable thresholds for navigating sensitivity and specificity tradeoffs with AI.

Approximately 15 percent of women with abnormal screening mammography results and adverse social determinants of health (SDOH) had follow-up diagnostic mammography or breast ultrasound within 30 days, according to multinational research presented at the Society of Breast Imaging symposium.

The Bunkerhill Contrast CAC and Bunkerhill Contrast AVC are reportedly the only AI-powered software modalities to garner 510(k) clearance for detection and quantification of coronary artery calcium and aortic valve calcium on contrast-enhanced CT scans.

In a recent interview, Connie Lehman, MD, PhD, discussed key changes to the National Comprehensive Cancer Network (NCCN) guidelines on breast cancer screening, including the use of AI-powered five-year risk assessment beginning at the age of 35.

The Philips Spectral CT Verida system reportedly provides reconstruction of 145 images per second, allowing entire CT exams to appear in less than 30 seconds.

Employing the SwiftMR software with deep learning reconstruction solutions from original equipment manufacturers (OEMs) may provide additional sequence coverage as well as scan time reduction.

In recent interviews with Diagnostic Imaging, Andrew Del Gaizo, MD, Nick Galante, MD and Marc Succi, MD, shared their perspective on the recent comment from NYC Health and Hospitals CEO Mitchell Katz, MD, about potentially replacing radiologists with AI.

In a recent interview, Marc Succi, MD, discussed findings from a new study examining the clinical reasoning capabilities of 21 large language models (LLMs), including GPT-5, Grok 4 and Claude 4.5 Opus.

In a new podcast episode, interventional radiologist Suresh Vedantham, MD, FSIR, discussed the use of iliac vein stent placement for addressing the severity of post-thrombotic syndrome (PTS) and new multicenter study findings presented at the Society for Interventional Radiology (SIR) 2026 Annual Scientific Meeting.

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

In a recent interview, Lior Fisher, MD, discussed new research findings for AI software that may enable single view ultrasound detection of valvular and ventricular dysfunction by non-cardiologists.

In a time-independent test set from a new retrospective study, gadoxetic-acid enhanced MRI provided nearly 38 percent higher sensitivity for detecting sub-centimeter hepatocellular carcinoma recurrence (HCC) in contrast to extracellular contrast agent-enhanced MRI.

The compact NeedleVue Mini, which reportedly offers advanced guidance for existing ultrasound systems, will be among the NeedleVue platforms showcased at the Society of Interventional Radiology (SIR) Annual Meeting in Toronto.

For patients with cardiac dysfunction related to neoadjuvant chemotherapy for invasive breast cancer, new MRI research shows increased risks for concurrent decreases in total brain volume and white matter volume.

The neuropacs™ MRI-based AI software provided a 96 percent or better AUROC for differentiating between Parkinson’s disease, atypical parkinsonism, multiple system atrophy Parkinsonian variant and progressive supranuclear palsy, according to a prospective multicenter study published in JAMA Neurology.

There was no statistically significant difference in sensitivity rates for lesion detection between breast MRI scans with minimum or mild background parenchymal enhancement (BPE) and those with moderate or marked BPE, according to a newly published study involving over 300 women.

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

In a recent interview, Jeremie Calais, MD, PhD, shared his perspective on recent research that compared the risk stratification capabilities of nomogram models incorporating PSMA PET data to established clinical risk scoring models from the European Association of Urology and the National Comprehensive Cancer Network (NCCN).

Pre-op MRI detection of seminal vesicle invasion was associated with a greater than five times higher likelihood of metastatic failure for patients undergoing radical prostatectomy, according to a newly published meta-analysis.

The CT-based True Definition DL software reportedly facilitates enhanced efficiency and high-resolution visualization for musculoskeletal, pulmonary and inner ear imaging.