An AI algorithm that incorporates scoring of coronary inflammation based on coronary CT angiography (CCTA) may enhance long-term cardiovascular risk stratification beyond conventional risk factor and imaging assessments, even in patients without obstructive CAD.
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For patients with no history of coronary artery disease (CAD), new research shows the use of CT-derived fractional flow reserve (FFR-CT) guided revascularizations after elective vascular surgery reduced myocardial infarction and all-cause death by 20 percent in comparison to standard care.
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While acknowledging variable accuracy overall with CT-derived fractional flow reserve (FFR-CT) values, researchers found that the accuracy rate increased to 90 percent for FFR-CT values greater > 0.90 and < 0.49.
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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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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.
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.
Catch up on the top radiology content of the past week.
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.
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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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.
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 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.
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.
