AIMC Journal:
European radiology

Showing 531 to 540 of 639 articles

Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.

European radiology Mar 19, 2020
OBJECTIVES: To assess the diagnostic accuracy of machine learning (ML) in predicting isocitrate dehydrogenase (IDH) mutations in patients with glioma and to identify potential covariates that could influence the diagnostic performance of ML.
Humans Machine Learning Biomarkers, Tumor Brain Neoplasms ROC Curve Glioma Magnetic Resonance Imaging Mutation DNA Mutational Analysis DNA, Neoplasm Isocitrate Dehydrogenase
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Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Male Middle Aged Hemodynamics Cohort Studies Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Disease Management Cardiac Catheterization Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Machine Learning
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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.

European radiology Mar 12, 2020
OBJECTIVE: To enhance the positive predictive value (PPV) of chest digital tomosynthesis (DTS) in the lung cancer detection with the analysis of radiomics features.
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Tomography, X-Ray Computed Humans Lung Neoplasms Logistic Models Early Detection of Cancer Radiology Semantics Reproducibility of Results Aged Middle Aged Image Processing, Computer-Assisted
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Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

European radiology Mar 11, 2020
BACKGROUND AND PURPOSE: Recent studies have highlighted the importance of isocitrate dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of gliomas. This study aimed to evaluate whether MRI-based radiomic features cou...
Predictive Value of Tests Mutation Survival Analysis Isocitrate Dehydrogenase Female Reproducibility of Results Adult Brain Neoplasms Male Middle Aged ROC Curve Glioma Magnetic Resonance Imaging Humans Machine Learning Brain Prognosis Retrospective Studies
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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

European radiology Mar 11, 2020
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs ...
Pneumothorax Area Under Curve Radiologists Radiography, Thoracic Biopsy, Needle Aged Adult Sensitivity and Specificity Male Middle Aged Lung Deep Learning Cohort Studies ROC Curve Humans Algorithms Retrospective Studies Female
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CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.

European radiology Feb 28, 2020
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. The aims of this study are to develop and validate a computed tomography ...
Middle Aged ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Logistic Models Neoplasm Invasiveness Neoplasm Recurrence, Local Adenocarcinoma of Lung Female Risk Factors Sensitivity and Specificity Male Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed
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Identification of patients with carotid stenosis using natural language processing.

European radiology Feb 26, 2020
PURPOSE: The highly structured nature of medical reports makes them feasible for automated large-scale patient identification. This study aimed to develop a natural language processing (NLP) model to retrospectively retrieve patients with presence an...
Natural Language Processing Carotid Stenosis Neural Networks, Computer Retrospective Studies Sensitivity and Specificity Ultrasonography Humans
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Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.

European radiology Feb 25, 2020
OBJECTIVES: To assess the impact on image quality and dose reduction of a new deep learning image reconstruction (DLIR) algorithm compared with a hybrid iterative reconstruction (IR) algorithm.
Humans Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging
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Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

European radiology Feb 19, 2020
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In this study, a deep learning-based system was developed to automatically measure bone mineral density (BMD) for opportunistic osteoporosis screening usin...
Humans Bone Density Osteoporosis Tomography, X-Ray Computed Middle Aged Deep Learning Lung Neoplasms Mass Screening Early Detection of Cancer Female Aged Aged, 80 and over Male Spine Bone Diseases, Metabolic
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

European radiology Feb 17, 2020
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from thyroid cancer in a large clinical cohort and to evaluate the model's clinica...
Multidetector Computed Tomography Internship and Residency Neck Lymphatic Metastasis Radiology Education, Medical, Graduate Cohort Studies Thyroid Neoplasms ROC Curve Lymph Nodes Humans Artificial Intelligence Algorithms Diagnosis, Computer-Assisted Deep Learning
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