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For people with a history of heavy smoking, detection of significant incidental findings (SIFs) on low-dose computed tomography (LDCT) screening scans was associated with a 13.89 per 1000 marginal risk difference for extrapulmonary cancer in contrast to those with no SIFs, according to a study involving over 26,000 people.
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Providing 3D ultrasound tomographic views, the Breast Acoustic CT device has an updated configuration that reportedly improves coverage and visualization of posterior breast tissue.

Iodine density measurements with photon-counting detector CT offered higher than 93 percent sensitivity and 95 percent specificity for differentiating between bland and neoplastic portal vein thrombosis in newly published research.

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

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

New research revealed that a “quadruple-low” radiation doing protocol with photon-counting CT provided significantly higher image quality and reduced contrast-induced nephropathy in comparison to energy-integrating detector CT (EID CT) for patients with lung cancer.

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

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

The CT-based RevealAI-Lung software reportedly offers a Malignancy Similarity Index score to facilitate evaluation of incidental lung nodules.

In addition to significantly reduced radiation dosing in comparison to energy-integrating detector CT (EID-CT), photon-counting CT provided higher detection of enhancement-related malignant features, according to new prospective research involving 200 patients with lung cancer.

In a new podcast episode, Kernesha Weatherly, DHA, emphasized the importance of communication with radiologists, ordering providers and patients to identify challenges with follow-up of incidental imaging findings, and how AI helped bolster data and “line of sight” in these cases at Ochsner Health.

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

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

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

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

Geared toward facilitating earlier detection and efficiencies in emergency department workflow, the AI triage software reportedly has 11 newly cleared indications.

In a prospective comparison with prior criteria for evaluating hepatocellular carcinoma surveillance, the American Association for the Study of Liver Diseases (AASLD) version 2023 system offered significantly higher sensitivity.

Incorporating AI to reduce artifacts and bolster soft tissue contrast, the Elekta Evo CT-Linac system reportedly improves detection of tumors and organs-at-risk.

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.

In a recent interview, Rajesh Bhayana, M.D., discussed pertinent findings from a new study examining the use of the large language model GPT-4o in facilitating protocoling for abdominal and pelvic CT exams.

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

In a study involving over 1,400 patients who had abdominal or pelvic CTs, the large language model GPT-4o selected optimal protocols in 96.2 percent of cases in comparison to 88.3 percent for radiologists.

Catch up on the most popular radiology podcasts from 2025.

Catch up on the most well-viewed radiology content from 2025.

From controversial research on radiation-induced long-term cancer risks with computed tomography (CT) scans and the emerging prognostic value of AI-enabled plaque quantification to the potential impact of deep learning and AI-enhanced radiomics in thoracic radiology, here is a look back at the most well-viewed CT content from 2025.


















