AIMC Journal:
European radiology

Showing 611 to 620 of 646 articles

Impact of guidelines for the management of minor head injury on the utilization and diagnostic yield of CT over two decades, using natural language processing in a large dataset.

European radiology Jan 14, 2019
OBJECTIVES: We investigated the impact of clinical guidelines for the management of minor head injury on utilization and diagnostic yield of head CT over two decades.
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Emergency Service, Hospital Guidelines as Topic Craniocerebral Trauma Glasgow Coma Scale Female Male Middle Aged Natural Language Processing
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Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model.

European radiology Dec 17, 2018
OBJECTIVES: To develop a machine learning model based on quantitative ultrasound (QUS) parameters to improve classification of steatohepatitis with shear wave elastography in rats by using histopathology scoring as the reference standard.
Liver Non-alcoholic Fatty Liver Disease ROC Curve Rats Rats, Sprague-Dawley Disease Models, Animal Machine Learning Animals Male Ultrasonography
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Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.

European radiology Dec 6, 2018
OBJECTIVES: We sought to investigate the diagnostic performance of coronary CT angiography (cCTA)-derived plaque markers combined with deep machine learning-based fractional flow reserve (CT-FFR) to identify lesion-specific ischemia using invasive FF...
Humans Machine Learning Diagnosis, Computer-Assisted ROC Curve Coronary Angiography Plaque, Atherosclerotic Retrospective Studies Female Male Middle Aged Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial
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Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.

European radiology Dec 5, 2018
PURPOSE: To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.
Thoracic Vertebrae Lumbar Vertebrae Spinal Fractures Fractures, Stress Male Tomography, X-Ray Computed Humans Middle Aged Female Case-Control Studies Machine Learning Aged ROC Curve Bone Density Aged, 80 and over Retrospective Studies
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Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

European radiology Nov 30, 2018
OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with ...
Somatostatin Pituitary Neoplasms Adenoma Predictive Value of Tests Acromegaly Middle Aged ROC Curve Magnetic Resonance Imaging Humans Reproducibility of Results Machine Learning Young Adult Algorithms Adult Retrospective Studies Male Female
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Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.

European radiology Nov 15, 2018
OBJECTIVES: Preoperative, noninvasive prediction of the meningioma grade is important because it influences the treatment strategy. The purpose of this study was to evaluate the role of radiomics features of postcontrast T1-weighted images (T1C), app...
Humans Machine Learning Algorithms Retrospective Studies Female Reproducibility of Results Aged Diffusion Tensor Imaging Sensitivity and Specificity Meningioma Male Anisotropy Middle Aged Meningeal Neoplasms Neoplasm Grading
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Use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological considerations.

European radiology Nov 9, 2018
Use of algorithms to generate synthetic cases might result in a misrepresentation of the entire population. Training an artificial neural network with a mix of real and synthetic data might lead to non-realistic prediction precision.
Humans Neural Networks, Computer Algorithms Female Male Aneurysm, Ruptured Intracranial Aneurysm
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Forensic age estimation for pelvic X-ray images using deep learning.

European radiology Nov 6, 2018
PURPOSE: To develop a deep learning bone age assessment model based on pelvic radiographs for forensic age estimation and compare its performance to that of the existing cubic regression model.
Child Pelvic Bones Radiography Age Determination by Skeleton Adult Male Deep Learning Adolescent Retrospective Studies Female Young Adult Humans
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The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.

European radiology Oct 30, 2018
The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use. In fact, it took until 2009 for the first iterative reconstruction algorithms to come commer...
Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Artificial Intelligence Algorithms
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Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types.

European radiology Oct 10, 2018
OBJECTIVE: To investigate the classification ability of quantitative radiomics features extracted on non-contrast-enhanced CT (NECT) image for discrimination of AVM-related hematomas from those caused by other etiologies.
Hematoma Brain Diseases Image Enhancement Humans Male Machine Learning Aged Tomography, X-Ray Computed Middle Aged Aged, 80 and over Female Adolescent Young Adult Reproducibility of Results Child Adult
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