Technology

Increased paraspinal intermuscular adipose tissue (IMAT) on whole-body MRI was associated with a 67 percent higher likelihood of hypertension, according to new research involving over 11,300 participants without preexisting conditions.

In a roundup of breast imaging news and research from April 2026, we take a look back at pertinent findings with AI and digital breast tomosynthesis (DBT), breast MRI studies and breast cancer screening guidelines from the National Comprehensive Cancer Network (NCCN) and the American College of Physicians (ACP).

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

In an independent test set, a radiomic AI model demonstrated an 82 percent AUC for detecting pancreatic ductal adenocarcinoma on computed tomography (CT) scans at a median of nearly 16 months prior to clinical diagnosis.

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

Providing enhanced multidimensional displays of MRI and CT imaging, the Avatar Medical Vision software may facilitate improved surgical planning and intraoperative communication.

Facilitating enhanced real-time visualization for percutaneous coronary intervention (PCI) procedures, the Ultreon 3.0 optical coherence tomography platform reportedly combines high-resolution imaging with AI-powered insights on stent sizing and positioning.

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

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

In recent interviews, Andrew Del Gaizo, MD, Nicholas Galante, MD and David Larson, MD, MBA, shared their thoughts on the rapidly increasing imaging volume in radiology, key ramifications and possible solutions.

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.

Are we overestimating the capacity of AI to address the ambiguity inherent to real-world medicine?

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 a variety of new FDA clearances in radiology from the past week.

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.

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.