AIMC Topic: Computed Tomography Angiography

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Segmentation of renal vessels on non-enhanced CT images using deep learning models.

Abdominal radiology (New York) Nov 1, 2025
OBJECTIVE: To evaluate the possibility of performing renal vessel reconstruction on non-enhanced CT images using deep learning models.
Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Humans Computed Tomography Angiography Tomography, X-Ray Computed Renal Veins Middle Aged Female Aged Renal Artery Deep Learning Aged, 80 and over Contrast Media Adult Male
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Comparative analysis of pre-transcatheter aortic valve implantation CTA protocols: Optimizing radiation dose and contrast volume.

International journal of cardiology Oct 15, 2025
BACKGROUND: To establish the most effective and safe pre-transcatheter aortic valve implantation (TAVI) CT angiography (CTA) protocol by comparing two approaches in terms of image quality, radiation and contrast dose.
Computed Tomography Angiography Transcatheter Aortic Valve Replacement Prospective Studies Female Aged Male Aged, 80 and over Contrast Media Humans Aortic Valve Stenosis Radiation Dosage
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Machine learning-based hemodynamics quantitative assessment of pulmonary circulation using computed tomographic pulmonary angiography.

International journal of cardiology Oct 15, 2025
BACKGROUND: Pulmonary hypertension (pH) is a malignant pulmonary circulation disease. Right heart catheterization (RHC) is the gold standard procedure for quantitative evaluation of pulmonary hemodynamics. Accurate and noninvasive quantitative evalua...
Humans Machine Learning Computed Tomography Angiography Retrospective Studies Female Pulmonary Artery Middle Aged Aged Pulmonary Circulation Hemodynamics Adult Hypertension, Pulmonary Male
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Transcatheter aortic valve implantation (TAVI) planning CT on 8-cm detector scanners: Proper dose control by combined use of two deep-learning reconstruction algorithms.

Journal of applied clinical medical physics Sep 1, 2025
PURPOSE: To explore the feasibility of transcatheter aortic valve implantation (TAVI) planning computed tomography (CT) on single-source 8-cm detector scanners with proper dose control by using two deep-learning reconstruction algorithms.
Transcatheter Aortic Valve Replacement Tomography, X-Ray Computed Male Radiotherapy Planning, Computer-Assisted Humans Female Radiation Dosage Deep Learning Radiotherapy, Intensity-Modulated Algorithms Aged Image Processing, Computer-Assisted Computed Tomography Angiography Aged, 80 and over Aortic Valve Stenosis
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Deep Learning-Enhanced CTA for Noninvasive Prediction of First Variceal Haemorrhage in Cirrhosis: A Multi-Centre Study.

Liver international : official journal of the International Association for the Study of the Liver Sep 1, 2025
BACKGROUND AND AIMS: The first variceal haemorrhage (FVH) is a life-threatening complication of liver cirrhosis that requires timely intervention; however, noninvasive tools for accurately predicting FVH remain limited. This study aimed to develop no...
Female Aged Adult Predictive Value of Tests Middle Aged Humans Male Esophageal and Gastric Varices Deep Learning Retrospective Studies Gastrointestinal Hemorrhage ROC Curve Computed Tomography Angiography Liver Cirrhosis
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Computed Tomography Advancements in Plaque Analysis: From Histology to Comprehensive Plaque Burden Assessment.

Echocardiography (Mount Kisco, N.Y.) Jul 1, 2025
Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from traditional histological approaches to comprehensive plaque burden assessment. Recent updates in the European Society of Cardiology (ESC) guidelines empha...
Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans
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Acquisition and Reconstruction Techniques for Coronary CT Angiography: Current Status and Trends over the Past Decade.

Radiographics : a review publication of the Radiological Society of North America, Inc Jul 1, 2025
Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessment of coronary artery disease (CAD) in clinical settings. However, the following limitations of CCTA remain issues of interest: motion, stair-step, and...
Radiation Dosage Computed Tomography Angiography Humans Algorithms Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Artifacts
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Meta-analysis of AI-based pulmonary embolism detection: How reliable are deep learning models?

Computers in biology and medicine Jul 1, 2025
RATIONALE AND OBJECTIVES: Deep learning (DL)-based methods show promise in detecting pulmonary embolism (PE) on CT pulmonary angiography (CTPA), potentially improving diagnostic accuracy and workflow efficiency. This meta-analysis aimed to (1) determ...
Humans Deep Learning Algorithms Pulmonary Embolism Sensitivity and Specificity Computed Tomography Angiography
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Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study.

Academic radiology Jul 1, 2025
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abnormal arteries and diagnose pulmonary sequestration (PS). Reducing the radiation dose, contrast medium dosage, and injection pressure in CTA, especial...
Bronchopulmonary Sequestration Contrast Media Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Computed Tomography Angiography Deep Learning Child, Preschool Child Sensitivity and Specificity Male Infant Case-Control Studies Humans Algorithms Female Reproducibility of Results
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Radiation and contrast dose reduction in coronary CT angiography for slender patients with 70 kV tube voltage and deep learning image reconstruction.

The British journal of radiology Jul 1, 2025
OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with deep learning image reconstruction (DLIR) in coronary computed tomography angiography (CCTA) for slender patients with body-mass-index (BMI) ≤25 kg/m2.
Female Aged Adult Male Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Middle Aged Deep Learning Body Mass Index Contrast Media Computed Tomography Angiography
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