AIMC Topic: Multidetector Computed Tomography

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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Adipose Tissue Humans Predictive Value of Tests Machine Learning Coronary Angiography Cause of Death Decision Support Techniques Male Prospective Studies Middle Aged Prognosis Risk Assessment Female Time Factors Risk Factors Multidetector Computed Tomography Aged Vascular Calcification Computed Tomography Angiography Pericardium Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Myocardial Infarction Sex Factors
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Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.

European heart journal Jan 14, 2020
AIMS: Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and t...
Male Middle Aged ROC Curve Predictive Value of Tests Humans Machine Learning Prospective Studies Female Calcium Coronary Vessels Coronary Angiography Multidetector Computed Tomography Registries Computed Tomography Angiography Coronary Artery Disease
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Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cel...
Adenoma, Oxyphilic Iohexol Multidetector Computed Tomography Carcinoma, Renal Cell Sensitivity and Specificity Female Humans Contrast Media Male Software Aged Diagnosis, Differential Middle Aged Algorithms Radiographic Image Interpretation, Computer-Assisted Deep Learning Aged, 80 and over Retrospective Studies Kidney Neoplasms Adult
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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Korean journal of radiology Feb 1, 2019
OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram.
Retrospective Studies Female Aged Male Middle Aged Image Processing, Computer-Assisted Pulmonary Emphysema Multidetector Computed Tomography Humans Neural Networks, Computer Machine Learning Algorithms
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal of computer assisted tomography Jan 1, 2019
OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusio...
Multidetector Computed Tomography Computed Tomography Angiography Cardiac-Gated Imaging Techniques Iopamidol Exercise Test Coronary Artery Disease Feasibility Studies Knowledge Bases Female Aged Male Middle Aged Hemodynamics Contrast Media Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Retrospective Studies
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CT morphological index provides incremental value to machine learning based CT-FFR for predicting hemodynamically significant coronary stenosis.

International journal of cardiology Aug 15, 2018
AIMS: To study the diagnostic performance of the ratio of Duke jeopardy score (DJS) to the minimal lumen diameter (MLD) at coronary computed tomographic angiography (CCTA) and machine learning based CT-FFR for differentiating functionally significant...
Computed Tomography Angiography Male Humans Predictive Value of Tests Coronary Stenosis Single-Blind Method Machine Learning Fractional Flow Reserve, Myocardial Multidetector Computed Tomography Retrospective Studies Female
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Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Neovascularization, Pathologic Aged Radiographic Image Interpretation, Computer-Assisted Computer Simulation Middle Aged Pattern Recognition, Automated Adult Humans Models, Biological Multidetector Computed Tomography Sensitivity and Specificity Machine Learning Liver Neoplasms Republic of Korea Radiographic Image Enhancement Knowledge Bases Male Algorithms Female Carcinoma, Hepatocellular Reproducibility of Results Liver
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