AIMC Topic: Multidetector Computed Tomography

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Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

The international journal of cardiovascular imaging Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Female Reproducibility of Results Risk Factors Aged Male Middle Aged Multidetector Computed Tomography Humans Plaque, Atherosclerotic Artificial Intelligence Vascular Calcification Retrospective Studies Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Female Reproducibility of Results Aged Aged, 80 and over Male Deep Learning Humans Retrospective Studies Computed Tomography Angiography Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Aortography Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography
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Hyoid bone-based sex discrimination among Egyptians using a multidetector computed tomography: discriminant function analysis, meta-analysis, and artificial intelligence-assisted study.

Scientific reports Jan 21, 2025
The hyoid bone has been identified as sexually dimorphic in various populations. The current study is a forerunner analysis that used three-dimensional multidetector computed tomography (3D MDCT) images of the hyoid bone to examine sexual dimorphism ...
Hyoid Bone North African People Female Imaging, Three-Dimensional Young Adult Humans Discriminant Analysis Adult Artificial Intelligence Egypt Male Machine Learning Sex Characteristics Middle Aged Multidetector Computed Tomography Sex Determination by Skeleton
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Observer Variation Coronary Vessels Multidetector Computed Tomography Time Factors Electrocardiography Predictive Value of Tests Coronary Angiography Radiologists Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index
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Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.

Circulation journal : official journal of the Japanese Circulation Society Nov 30, 2024
BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current referen...
Humans Prognosis Female Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Acute Disease Pulmonary Embolism Multidetector Computed Tomography
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Deep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography.

Clinical neuroradiology Nov 25, 2024
PURPOSE: Deep learning (DL) methods for detecting large vessel occlusion (LVO) in acute ischemic stroke (AIS) show promise, but the effect of computed tomography angiography (CTA) image quality on DL performance is unclear. Our study investigates the...
Deep Learning Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Female Cerebral Angiography Computed Tomography Angiography Aged Aged, 80 and over Sensitivity and Specificity Humans Male Middle Aged
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Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Phantoms, Imaging Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Male Vascular Calcification Humans Middle Aged Retrospective Studies Severity of Illness Index Female Deep Learning Reproducibility of Results Predictive Value of Tests Aged
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

The international journal of cardiovascular imaging Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Computed Tomography Angiography Atrial Appendage Blood Coagulation Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Atrial Fibrillation Thrombophilia Multidetector Computed Tomography Middle Aged Female Risk Assessment Humans Reproducibility of Results Nomograms Machine Learning Risk Factors Predictive Value of Tests Decision Support Techniques Aged Anticoagulants Retrospective Studies Radiomics Male
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Automated detection and classification of mandibular fractures on multislice spiral computed tomography using modified convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 5, 2024
OBJECTIVE: To evaluate the performance of convolutional neural networks (CNNs) for the automated detection and classification of mandibular fractures on multislice spiral computed tomography (MSCT).
Male Middle Aged Adolescent Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Tomography, Spiral Computed Retrospective Studies Female Aged Adult Sensitivity and Specificity Mandibular Fractures Humans Neural Networks, Computer
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Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center.

Diseases of the colon and rectum Jun 11, 2024
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Lymph Nodes Adenocarcinoma Pelvis Adult Lymphatic Metastasis Humans Sensitivity and Specificity Lymph Node Excision Rectal Neoplasms Artificial Intelligence Male Predictive Value of Tests Multidetector Computed Tomography Retrospective Studies Middle Aged Proctectomy Female Pilot Projects Aged Imaging, Three-Dimensional
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