AIMC Topic: Multidetector Computed Tomography

Clear Filters Showing 41 to 50 of 67 articles

Deep learning-based image restoration algorithm for coronary CT angiography.

European radiology Apr 8, 2019
OBJECTIVES: The purpose of this study was to compare the image quality of coronary computed tomography angiography (CTA) subjected to deep learning-based image restoration (DLR) method with images subjected to hybrid iterative reconstruction (IR).
Humans Algorithms Retrospective Studies Female Aged Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Radiation Dosage Signal-To-Noise Ratio Multidetector Computed Tomography Computed Tomography Angiography Aged, 80 and over Adult Male Middle Aged Deep Learning
View on PubMed DOI

Potential of a machine-learning model for dose optimization in CT quality assurance.

European radiology Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Humans Machine Learning Adult Cross-Sectional Studies Male Middle Aged Adolescent Quality Assurance, Health Care Retrospective Studies Female Aged Aged, 80 and over Young Adult Radiation Dosage Radiography, Thoracic Multidetector Computed Tomography Radiation Injuries Thoracic Diseases
View on PubMed DOI

An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal of the American College of Radiology : JACR Feb 4, 2019
PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-bas...
Clinical Decision-Making Predictive Value of Tests Female Neoplasm Staging Humans Aged Gastrectomy Machine Learning Stomach Neoplasms Lymph Nodes Multidetector Computed Tomography Databases, Factual Male Lymphatic Metastasis Middle Aged Preoperative Care Prognosis ROC Curve Retrospective Studies Neoplasm Invasiveness Decision Support Systems, Clinical
View on PubMed DOI

Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

Respiratory medicine Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
Respiratory Function Tests Humans Multidetector Computed Tomography Female Male Aged Middle Aged Aged, 80 and over Severity of Illness Index Pulmonary Disease, Chronic Obstructive Forced Expiratory Volume Dyspnea
View on PubMed DOI

Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

Journal of cardiovascular computed tomography Oct 21, 2018
BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.
Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged Male Predictive Value of Tests
View on PubMed DOI

Performance and clinical impact of machine learning based lung nodule detection using vessel suppression in melanoma patients.

Clinical imaging Sep 11, 2018
PURPOSE: To evaluate performance and the clinical impact of a novel machine learning based vessel-suppressing computer-aided detection (CAD) software in chest computed tomography (CT) of patients with malignant melanoma.
Neoplasm Metastasis Multidetector Computed Tomography Middle Aged Diagnosis, Computer-Assisted ROC Curve Lung Neoplasms Melanoma, Cutaneous Malignant Skin Neoplasms Aged Aged, 80 and over Adult Male Retrospective Studies Female Melanoma Humans Machine Learning
View on PubMed DOI

Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.

PloS one Aug 8, 2018
BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA), employing machine-learned linea...
Male Middle Aged Predictive Value of Tests Coronary Angiography Coronary Artery Disease Humans Diagnostic Techniques, Cardiovascular Machine Learning Algorithms Multidetector Computed Tomography Female Aged Sensitivity and Specificity
View on PubMed DOI

Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Humans Machine Learning Retrospective Studies Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac Catheters Middle Aged Female Severity of Illness Index Reproducibility of Results Predictive Value of Tests Aged Coronary Angiography Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Male
View on PubMed DOI

Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Coronary Artery Disease Myocardial Infarction Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Area Under Curve Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Middle Aged Risk Assessment Severity of Illness Index Time Factors Prognosis ROC Curve Female Humans Risk Factors Reproducibility of Results Machine Learning Aged Algorithms Male
View on PubMed DOI

Pulmonary nodule classification with deep residual networks.

International journal of computer assisted radiology and surgery May 13, 2017
UNLABELLED: PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung n...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Lung Neoplasms Solitary Pulmonary Nodule Multidetector Computed Tomography
View on PubMed DOI
Popular Topics
Recent Journals