AIMC Journal:
European radiology

Showing 511 to 520 of 639 articles

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Regression Analysis Diagnosis, Differential Granuloma Tuberculosis Algorithms Sex Factors Lung Neoplasms Retrospective Studies Diagnostic Tests, Routine Logistic Models Tomography, X-Ray Computed Nomograms Female Observer Variation Age Factors Adult Pattern Recognition, Automated Solitary Pulmonary Nodule Male Calibration Middle Aged Adenocarcinoma of Lung Humans Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted
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Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.

European radiology Jun 26, 2020
OBJECTIVES: To benchmark the performance of a calibrated 3D convolutional neural network (CNN) applied to multiparametric MRI (mpMRI) for risk assessment of clinically significant prostate cancer (csPCa) using decision curve analysis (DCA).
Humans Benchmarking Observer Variation Deep Learning Calibration Image Processing, Computer-Assisted Normal Distribution Magnetic Resonance Imaging Machine Learning Prostatic Neoplasms Algorithms Prostate-Specific Antigen Retrospective Studies Biopsy Male Risk Assessment
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Machine learning-based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation.

European radiology Jun 26, 2020
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their machine learning (ML)-based classifications for predicting human papilloma virus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Alphapapillomavirus Head and Neck Neoplasms Regression Analysis Diagnosis, Differential Area Under Curve Observer Variation Male Imaging, Three-Dimensional Image Processing, Computer-Assisted Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results
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Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

European radiology Jun 17, 2020
OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MARC) in gadoxetate disodium-enhanced multi-arterial phase MRI of the liver.
Gadolinium DTPA Liver Neoplasms Contrast Media Magnetic Resonance Imaging Artifacts Breath Holding Humans Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning
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Deep learning in interstitial lung disease-how long until daily practice.

European radiology Jun 14, 2020
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Pattern Recognition, Automated Reproducibility of Results Lung Diagnosis, Computer-Assisted Deep Learning Inflammation
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Humans Machine Learning Retrospective Studies Area Under Curve Radiography Prostatic Neoplasms Prostate-Specific Antigen Prostate Validation Studies as Topic Image-Guided Biopsy Unnecessary Procedures Multiparametric Magnetic Resonance Imaging Reproducibility of Results Ultrasonography Aged ROC Curve Aged, 80 and over Logistic Models Male Support Vector Machine Middle Aged Decision Trees
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Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.

European radiology Jun 10, 2020
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival (DFS) in patients with oral cavity squamous cell carcinoma (OCSCC).
Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Retrospective Studies Neoplasm Staging Deep Learning Humans Female Mouth Neoplasms Algorithms Disease-Free Survival Reproducibility of Results Glycolysis Aged Tumor Burden Treatment Outcome Aged, 80 and over Fluorodeoxyglucose F18 Squamous Cell Carcinoma of Head and Neck Kaplan-Meier Estimate Predictive Value of Tests Positron Emission Tomography Computed Tomography
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A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.

European radiology May 30, 2020
OBJECTIVES: To develop a deep learning algorithm for automated detection and localization of intracranial aneurysms on time-of-flight MR angiography and evaluate its diagnostic performance.
Middle Aged Humans Deep Learning Algorithms ROC Curve Retrospective Studies Magnetic Resonance Angiography Female Intracranial Aneurysm Male
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Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.

European radiology May 28, 2020
OBJECTIVES: This study investigated the impact of machine learning (ML)-based fractional flow reserve derived from computed tomography (FFR) compared to invasive coronary angiography (ICA) for therapeutic decision-making and patient outcome in patien...
Coronary Artery Disease Humans Disease Management Male Artificial Intelligence Computed Tomography Angiography Middle Aged Machine Learning Fractional Flow Reserve, Myocardial Severity of Illness Index Retrospective Studies Decision Making Female Predictive Value of Tests Coronary Angiography
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Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

European radiology May 26, 2020
OBJECTIVE: The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.
Artificial Intelligence Qualitative Research Radiography Radiology Radiologists Humans Data Collection Netherlands Program Evaluation Program Development
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