CT

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

Computed tomography (CT) findings from over 1,700 patients with stable chest pain reveal that coronary artery calcium (CAC) scores of 0 are associated with a 4.1 percent prevalence of obstructive coronary artery disease (CAD) whereas CAC scores of 400 or higher are linked to a 76.1 percent incidence of obstructive CAD, according to research from a multinational study.

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In comparison to standard-dose lung CT, the combination of deep learning image reconstruction with ultra-low-dose CT offered similar detection and characterization of pulmonary nodules at a nearly 93 percent reduction of radiation dosing, according to new research.

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

Clinicians can bill Category 1 CPT Code 75580 for adjunctive use of the artificial intelligence (AI)-powered Cleerly Ischemia software for fractional flow reserve estimates based on coronary computed tomography angiography (CCTA) scans.

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The use of computed tomography (CT) for cases of minor head trauma was associated with a 29 percent higher incidence of hematologic malignant neoplasms in comparison to those with no CT, according to a new study involving over 2,400,000 pediatric patients.

The use of ultrahigh spatial resolution with photon-counting CT led to lower Coronary Artery Disease Reporting and Data System (CAD-RADS) category assessments in over 54 percent of patients in comparison to the use of standard spatial resolution, according to recently published research.

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Patients who had CT angiography procedures reported lower pain levels, better preparation and were 25 percent more willing to undergo the procedure again in comparison to patients who had invasive coronary angiography, according to newly published research.

The AI-enabled HealthFLD software demonstrated a 77.8 percent sensitivity rate and a 93.2 percent specificity rate for diagnosing moderate hepatic steatosis on contrast-enhanced CT scans in a recent study of over 2,900 patients.

Facilitating timely diagnosis and intervention for brain bleeds, the artificial intelligence (AI)-powered Viz ICH Plus software may provide quantified assessment for intracranial hyperdensities, lateral ventricles and midline shifts.

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For the detection of nodal metastases in patients with early-stage cervical cancer, 18F FDG PET-CT offered a sensitivity rate that was double that of CT and 32 percent higher than MRI, according to newly published research.

The use of multiple artificial intelligence (AI) modalities to assess blood vessel density reduction and computed tomography perfusion (CTP) mismatch values facilitated a 93.3 percent detection rate for medium vessel occlusions, according to research presented recently at the International Stroke Conference.

In a computed tomography (CT) study assessing over 450 patients who had lung adenocarcinoma resection, researchers noted zero recurrence at five years and 97.7 percent recurrence-free survival at seven years for patients with resected pure ground glass nodules.

Demonstrating an 81 percent AUC, 99 percent specificity and a 98 percent positive predictive value, increased attenuation of intestinal contents was one of four CT findings deemed to be an independent predictive factor for bowel necrosis in patients with closed-loop small bowel obstruction.

In a comparative study of energy-integrating detector CT myelography versus photon-counting detector CT (PCD-CT) myelography for the detection of cerebrospinal fluid-venous fistulas (CVFs) in cases of spontaneous intracranial hypotension, PCD-CT myelography demonstrated 10 to 19 percent higher sensitivity rates with reviewing radiologists.

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In a recent interview, Markus Scherer, M.D., discussed emerging research, presented at the American College of Cardiology Cardiovascular Summit, which showed that coronary computed tomography angiography (CTA) was associated with a significantly higher likelihood of revascularization in comparison to other modalities or direct referral for invasive coronary angiography.

Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.

Catch up on the most-well viewed radiology content in January 2024.

Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.