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

For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.

A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), according to new research.

The advanced reconstruction algorithm offers optimal noise reduction, artifact correction, detailed spectral data and streamlined radiation dosing across cardiac, pulmonary and oncologic imaging.

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

The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).

Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.

The artificial intelligence (AI)-enabled software Lumina 3D reportedly provides reconstructions of computed tomography angiography (CTA) images of the head and neck in minutes.

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

A predictive model for non-small cell lung cancer (NSCLC) recurrence, based on clinical parameters and CT findings, demonstrated an 85.2 percent AUC and 83.3 percent sensitivity rate, according to external validation testing in a new study.

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

For those without low skeletal muscle mass on CT and myosteatosis, obese patients have a 23 percent lower risk of death than non-obese patients after undergoing curative resection for non-small cell lung cancer, according to newly published research.

For patients with newly diagnosed obstructive coronary artery disease (CAD), a multimodal machine learning model offered an 86 percent AUC for predicting MACE, which was 10 percent higher than CCTA alone and over 35 percent higher than the Framingham Risk Score.

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.

For patients previously assessed with LI-RADS LR-4 and LR-M presentations based on MRI or CT findings, the use of contrast-enhanced ultrasound led to 30 percent of these patients having LR-5 assessments definitive for hepatocellular carcinoma.

Emerging research suggests that a deep learning model may offer 92 percent sensitivity in lung tumor detection on CT scans and up to a 59 percent reduction in tumor segmentation time.

In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.

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

In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.

The IQ-UIP AI software may bolster computed tomography diagnosis of usual interstitial pneumonia (UIP), which is reportedly misdiagnosed in over 50 percent of cases.

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

Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.

Touching on a variety of topics in radiology, here are the top five most well-viewed content from Diagnostic Imaging in 2024.

Catch up on the most well-read computed tomography (CT) articles from 2024.

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.

A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.

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

The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).