AIMC Topic: Multidetector Computed Tomography

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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Risk Assessment Severity of Illness Index Hemodynamics Time Factors Predictive Value of Tests Coronary Angiography Female Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Reproducibility of Results Acute Coronary Syndrome Risk Factors Coronary Vessels Aged Rupture, Spontaneous Male Humans Multidetector Computed Tomography Middle Aged Artificial Intelligence Prognosis
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Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

The international journal of cardiovascular imaging May 9, 2024
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA). In this prospective study, patients underwent CCTA were prospectively...
Female Reproducibility of Results Aged Male Middle Aged Deep Learning Humans Prospective Studies Heart Rate Coronary Vessels Radiation Dosage Multidetector Computed Tomography Computed Tomography Angiography Cardiac-Gated Imaging Techniques Electrocardiography Contrast Media Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Computed Tomography Angiography Heart Failure Natriuretic Peptide, Brain Multidetector Computed Tomography Vascular Calcification Asymptomatic Diseases Aged, 80 and over Male Middle Aged Risk Assessment Incidence Time Factors United States Predictive Value of Tests Coronary Angiography Peptide Fragments Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Biomarkers Prognosis Female Reproducibility of Results Risk Factors Aged Humans Artificial Intelligence
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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Humans Artificial Intelligence Female Reproducibility of Results Aged Coronary Artery Disease Observer Variation Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Stenosis
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Humans Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Male Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Deep Learning Transcatheter Aortic Valve Replacement Observer Variation Aortic Valve Stenosis Coronary Vessels Aortic Valve False Positive Reactions Predictive Value of Tests Multidetector Computed Tomography Coronary Angiography Computed Tomography Angiography
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A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Cardiovascular revascularization medicine : including molecular interventions Mar 7, 2024
BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR plann...
Multidetector Computed Tomography Heart Valve Prosthesis Transcatheter Aortic Valve Replacement Software Validation Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Prosthesis Design Observer Variation Automation Humans Artificial Intelligence Software Reproducibility of Results Aortic Valve Stenosis
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Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm.

Journal of imaging informatics in medicine Mar 4, 2024
Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic coronary syndrome (CCS) in patients with low-to-intermediate pre-test probability. The minimum technical requirement is 64-row multidetector CT (64-MDCT)...
Humans Coronary Vessels Algorithms Multidetector Computed Tomography Female Computed Tomography Angiography Aged Male Middle Aged Deep Learning Image Processing, Computer-Assisted Coronary Angiography Artifacts
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Strong Diagnostic Performance of Single Energy 256-row Multidetector Computed Tomography with Deep Learning Image Reconstruction in the Assessment of Myocardial Fibrosis.

Internal medicine (Tokyo, Japan) Feb 12, 2024
Objective Although magnetic resonance imaging (MRI) is the gold standard for evaluating abnormal myocardial fibrosis and extracellular volume (ECV) of the left ventricular myocardium (LVM), a similar evaluation has recently become possible using comp...
Humans Magnetic Resonance Imaging Adult Retrospective Studies Myocardium Female Sensitivity and Specificity Heart Ventricles Aged Male Fibrosis Aged, 80 and over Middle Aged Multidetector Computed Tomography Deep Learning Cardiomyopathies Image Processing, Computer-Assisted
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Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 1, 2023
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been proposed as useful for improving temporal resolution and image quality on MR sequences in differ...
Multidetector Computed Tomography Retrospective Studies Middle Aged Female Carcinoma, Non-Small-Cell Lung Lung Humans Aged Contrast Media Deep Learning Aged, 80 and over Magnetic Resonance Imaging Imaging, Three-Dimensional Adult Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Male Signal-To-Noise Ratio Lung Neoplasms
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Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosis.

Heart and vessels Aug 8, 2023
Fractional flow reserve derived from coronary CT (FFR-CT) is a noninvasive physiological technique that has shown a good correlation with invasive FFR. However, the use of FFR-CT is restricted by strict application standards, and the diagnostic accur...
Coronary Artery Disease Multidetector Computed Tomography Computed Tomography Angiography Humans Coronary Stenosis Deep Learning Fractional Flow Reserve, Myocardial Predictive Value of Tests Coronary Angiography Constriction, Pathologic
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