AIMC Topic: Computed Tomography Angiography

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Imaging analysis using Artificial Intelligence to predict outcomes after endovascular aortic aneurysm repair: protocol for a retrospective cohort study.

BMJ open Jul 16, 2025
INTRODUCTION: Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect and treat postoperative complications. However, prediction models to optimise follow-up strategies are still lacking. The primary objective of this stu...
Humans Artificial Intelligence Retrospective Studies Postoperative Complications Treatment Outcome Observational Studies as Topic Endovascular Procedures Computed Tomography Angiography Aortic Aneurysm Multicenter Studies as Topic Aortic Aneurysm, Abdominal
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Knowledge, attitudes, and practices of cardiovascular health care personnel regarding coronary CTA and AI-assisted diagnosis: a cross-sectional study.

Journal of global health Jul 4, 2025
BACKGROUND: Artificial intelligence (AI) holds significant promise for medical applications, particularly in coronary computed tomography angiography (CTA). We assessed the knowledge, attitudes, and practices (KAP) of cardiovascular health care perso...
Coronary Angiography Computed Tomography Angiography Humans China Artificial Intelligence Adult Health Personnel Surveys and Questionnaires Cross-Sectional Studies Attitude of Health Personnel Female Male Health Knowledge, Attitudes, Practice Middle Aged
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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Male Ventricular Function, Left Echocardiography Middle Aged Humans Prospective Studies Female Aged Ventricular Remodeling Asymptomatic Diseases Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Disease Progression Severity of Illness Index Aortic Valve Stenosis Adipose Tissue
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The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

British journal of hospital medicine (London, England : 2005) Jun 5, 2025
Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due to high rates of missed or delayed detection. Computed tomography pulmonary angiography (CTPA) is the current standard for diagnosing PE, however, dem...
Humans Artificial Intelligence Reproducibility of Results Pulmonary Embolism Computed Tomography Angiography
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Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BMC medical imaging Jun 5, 2025
BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid plaque radiomic features, clinical risk factors, and plaque imaging characteristics for prognosticating the risk of ischemic stroke.
Plaque, Atherosclerotic Computed Tomography Angiography Carotid Artery Diseases Risk Assessment ROC Curve Aged Humans Prognosis Logistic Models Radiomics Machine Learning Female Male Ischemic Stroke Risk Factors Middle Aged
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Humans Machine Learning Retrospective Studies Female Aged Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Predictive Value of Tests Coronary Angiography Coronary Artery Disease Aged, 80 and over Computed Tomography Angiography Sensitivity and Specificity Male Aortic Valve Stenosis
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Improving lower-extremity artery depiction and diagnostic confidence using dual-energy technique and popliteal artery monitoring in dual-low dose CT angiography.

Scientific reports May 9, 2025
To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremity CT angiography (LE-CTA). 135 patients undergoing LE-CTA were prospectively included and divided i...
Contrast Media Lower Extremity Signal-To-Noise Ratio Peripheral Arterial Disease Humans Aged, 80 and over Radiation Dosage Computed Tomography Angiography Adult Prospective Studies Popliteal Artery Male Female Middle Aged Aged
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Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data.

BMC medical imaging Apr 29, 2025
BACKGROUND: To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CTA derived from low-dose cereb...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Retrospective Studies Humans Female Radiographic Image Interpretation, Computer-Assisted Aged Radiation Dosage Adult Signal-To-Noise Ratio Computed Tomography Angiography
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Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.

European journal of radiology Apr 27, 2025
Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essential for the diagnosis and management of cerebrovascular diseases, including ischemic stroke. This study implemented a deep learning-based U-Net++ mode...
Humans Cerebrovascular Disorders Reproducibility of Results Computed Tomography Angiography Deep Learning Cerebral Angiography Radiographic Image Interpretation, Computer-Assisted Cerebral Arteries
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Coronary Vessels Magnetic Resonance Angiography Computed Tomography Angiography Coronary Artery Disease Humans Image Interpretation, Computer-Assisted Deep Learning Aged Observer Variation Female Time Factors Male Automation Reproducibility of Results Predictive Value of Tests Middle Aged Coronary Angiography
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