CT

Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.

In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).

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For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.

The Bunkerhill BMD software provides AI-automated assessment of bone mineral density from non-contrast abdominal computed tomography scans.

Going into effect in 2026, the new CPT codes may facilitate increased adoption of the CaRi-Heart software for detecting coronary inflammation from computed tomography scans pending FDA clearance of the technology.

For patients with acute ischemic stroke, research has demonstrated that automated assessment of ischemic core volume on brain CT scans via the Brainomix 360 software is equivalent to that derived from CT perfusion.

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After a multivariable assessment including age and comorbidities, women with pulmonary embolism (PE) had a 48 percent higher risk of one-year mortality than men with PE, according to a new study involving over 33,000 patients.

Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.

LI-RADS category 5 (LR-5) assessment had an 11 percent higher AUC for detecting hepatocellular carcinoma (HCC) in patients with non-cirrhotic chronic hepatitis C (CHC) in comparison to those with cirrhotic CHC.

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The cLung-RADS v2022 model offered a greater than 16 percent increase in the AUC in comparison to Lung-RADS 1.0 and Lung-RADS v2022 systems for predicting the invasiveness of pure ground-glass nodules.

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Attenuation-based biomarkers on computed tomography (CT) scans demonstrated a 93 percent interclass correlation coefficient (ICC) agreement across three pancreatic segmentation algorithms for predicting diabetes, according to a study involving over 9,700 patients.

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Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.

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For immunocompromised individuals, denoised ultra-low-dose CT offers similar detail as normal-dose CT scans for pneumonia detection, according to a recent study.

Through AI-powered assessment of coronary computed tomography angiography (CCTA) scans, the CaRi-Plaque software may provide improved clarity on the development of coronary plaques and luminal stenosis.

The Naeotom Alpha class of photon-counting computed tomography (PCCT) scanners emphasize significantly reduced scan times and enhanced detection of small abnormalities.

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The use of ultra-high-resolution photon-counting CT in the evaluation of stable chest pain may significantly reduce follow-up tests and invasive coronary angiography (ICA) procedures, possibly resulting in millions in health-care cost savings, according to a cost-effectiveness analysis presented recently at the European Congress of Radiology.

The use of ivonescimab was correlated with a median 5.3-month improvement in progression-free survival (PFS) over pembrolizumab in patients with PD-L1 positive non-small cell lung cancer, according to CT and MRI findings from a phase 3 randomized multicenter trial.

In a comparative study of staging systems for hepatocellular carcinoma, the Barcelona Clinic Liver Cancer (BCLC) system offered the highest likelihood ratio (LR) and lowest Akaike information criteria (AIC) for predicting overall survival after transarterial chemoembolization (TACE) for hepatocellular carcinoma.

Ultra-high spatial resolution with photon-counting CT facilitated a 33 percent reduction in the assessment of median total plaque volume and a 45 percent higher inter-reader agreement for evaluation of low-attenuation plaque volume in contrast to energy-integrating detector (EID) CT.

The F.A.S.T. aiCockpit CT Lung Nodule reportedly facilitates enhanced CT workflow and automated reporting for evaluation of lung nodules

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