CT

Reportedly validated in more than 10 clinical trials, the AngioFlow perfusion imaging software enables timely identification of brain regions with cerebral blood flow reduction and those with significant hypoperfusion.

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A computed tomography (CT)-based radiomics model that includes 28 radiomic features showed significantly higher accuracy, sensitivity, and specificity than conventional CT in differentiating benign and malignant thyroid nodules, according to newly published research.

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In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.

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In a study of women with oligometastatic breast cancer, the use of 18F-FDG PET/CT detected additional metastases in one-third of cases that were not evident on conventional CT.

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A new study shows that GPT-4 may offer comparable error detection rates to those of attendings and radiology residents in reviewing radiology reports, but researchers noted key caveats as well.

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The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.

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Researchers noted a 67.4 percent increase in head and neck CT angiography and a 38 percent reduction in findings of acute pathology in a recent comparison of 2017 and 2021 statistics for headache and/or dizziness presentations at the emergency department of an urban academic medical center.

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Emerging research on coronary artery calcium scoring for the assessment of coronary artery disease (CAD) suggests the use of virtual non-contrast images from photon-counting CT may lead to a nearly 20 percent reduction in radiation dosing.

The artificial intelligence (AI) modalities CINA-iPE and CINA-ASPECTS may facilitate improved detection of incidental pulmonary embolism and stroke evaluation, respectively, based on computed tomography (CT) scans.

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The multimodality system nCommand Lite reportedly facilitates real-time remote imaging guidance on scanning parameters and procedure assessments to licensed technologists for a variety of imaging modalities including CT and MRI.

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

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Offering ease of mobility and self-driving capabilities, the Ciartic Move C-arm device reportedly reduces the stress and potential for error associated with manual repositioning during intraoperative imaging with computed tomography and fluoroscopy.

Emerging research suggests that a computed tomography (CT)-based radiomics model can predict FOXM1 expression and is independently prognostic for clear cell renal cell carcinoma.

Three-dimensional interactive heart models created with AI-enabled segmentation of CT scans may reduce ventricular tachycardia ablation procedure times by 60 percent.

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In joint consensus recommendations issued from the Society of Abdominal Radiology and the American College of Gastroenterology, researchers discussed key pearls, benefits, and limitations of CT angiography for imaging of overt lower GI bleeding and CT enterography for detecting small bowel bleeding.

Employing quantitative computed tomography, the staging system’s insights on stenosis, ischemia and coronary atherosclerosis may facilitate individualized assessments of heart disease risk.