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In a recent interview with Diagnostic Imaging, Noa Antonissen, M.D., and Colin Jacobs, Ph.D., discussed new research findings demonstrating robust risk stratification with a CT-based deep learning model for lung nodules as well as a 39.4 percent reduction in false positives in comparison to traditional classification.

Emphysema on Chest CT Linked to Threefold Higher Risk for COPD Mortality in Next 25 Years
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Offering the capability to convert a non-contrast chest CT into quantitative ventilation perfusion mapping, use of the CT:VQ software allows for additional Category III CPT reimbursement beyond the chest CT.

In a long-term follow-up analysis of the ELCAP CAC score for predicting cardiovascular mortality, over 30 percent of current or former smokers with high ELCAP CAC scoring on low-dose CT suffered cardiovascular disease death within a 25-year period.

The Revolution Vibe computed tomography system reportedly facilitates quality low-dose imaging for cardiac exams in patients with arrhythmias, heavily calcified coronaries and stents.

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

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

Use of the AI-powered Salix Coronary Plaque module, which offers detection of high-risk plaque within 10 minutes based off of CCTA scans, will reportedly qualify for $950 in Category 1 CPT reimbursement in 2026.

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In addition to facilitating centralized scanning for a variety of imaging, the TechLive system may help ease the strain of technologist shortages and broaden access to advanced imaging exams.

While a CT-based deep learning model demonstrated a 91 percent AUC for predicting lung cancer risk within one year, researchers noted other mixed results in a new study involving over 18,000 individuals.

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

Computed tomography colonography (CTC) demonstrated a 91.6 percent positive predictive value (PPV) for polyps > 6 mm, according to new research involving over 9,000 patients who underwent CTC for primary asymptomatic colorectal cancer screening.

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

Developed by 21 thoracic radiologists, the new international consensus statement addresses appropriate indications, scan acquisition and keys to reporting for the use of chest CT imaging in evaluating for residual lung abnormalities from COVID-19.

Study Reveals Significant Prevalence of Abnormal PET/MRI and Dual-Energy CT Findings with Long Covid
In a prospective study involving nearly 100 patients with Long Covid, 57 percent of patients had PET/MRI abnormalities and 90 percent of the cohort had abnormalities on dual-energy CT scans.

The dose length product (DLP) for the flash mode on a dual-source photon-counting CT system was less than a third of that for the spiral mode, according to a study of CTA findings for 1,000 patients presented at the Society of Cardiovascular Computed Tomography (SCCT) conference.

Stay updated with the latest in radiology, including PET, MRI, and AI research, plus essential insights on mammography and cardiac imaging.

For patients who had coronary CTA for acute chest pain, emerging research found no significant association between plaque burden grades with CAD-RADS 2.0 and cardiac events.

In a new study comparing standard resolution and ultra-high resolution modes for patients undergoing coronary CTA with photon-counting detector CT, researchers found that segment-level sensitivity and accuracy rates for diagnosing coronary artery stenosis were consistently > 89.6 percent.

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Preoperative use of contrast-enhanced cone-beam breast CT has over a 96 percent sensitivity for predicting nipple-areolar complex involvement in cases involving early-stage breast cancer, according to a new study.

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.

Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.

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

The AI-powered Viz Subdural Plus reportedly provides automated measurements and labeling of subdural collections, including subdural hemorrhages (SDHs), based on non-contrast CT scans.




































