Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease

To develop a quantitative ultrasound (QUS)- and elastography-based model to improve classification of steatosis grade, inflammation grade, and fibrosis stage in patients with chronic liver disease in comparison with shear wave elastography alone, using histopathology as the reference standard. This...

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Veröffentlicht in:	PloS one Jg. 17; H. 1; S. e0262291
Hauptverfasser:	Destrempes, François, Gesnik, Marc, Chayer, Boris, Roy-Cardinal, Marie-Hélène, Olivié, Damien, Giard, Jeanne-Marie, Sebastiani, Giada, Nguyen, Bich N., Cloutier, Guy, Tang, An
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 27.01.2022 Public Library of Science (PLoS)
Schlagworte:	Accuracy Adult Aged Area Under Curve Attenuation coefficients Biology and Life Sciences Biopsy Chronic Disease Classification Computer and Information Sciences Development and progression Diagnosis Diagnosis, Ultrasonic Elasticity Elasticity Imaging Techniques - methods Engineering and Technology Evaluation Studies as Topic Fatty liver Female Fibrosis Health aspects Hepatitis Hepatitis B Hepatitis B, Chronic - pathology Hepatology Histopathology Hospitals Humans Inflammation Inflammation - pathology K-distribution Laboratories Learning algorithms Liver Liver - pathology Liver cirrhosis Liver Cirrhosis - pathology Liver diseases Machine Learning Male Medicine and Health Sciences Middle Aged Modelling Non-alcoholic Fatty Liver Disease - pathology Nuclear medicine Oncology Parameter identification Pathology Prospective Studies Quality Radiation Research and Analysis Methods Risk factors ROC Curve Shear Steatosis Ultrasonic imaging Ultrasonography - methods Ultrasound Viruses Young Adult Canada
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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