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

Autor: Destrempes F; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada., Gesnik M; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada., Chayer B; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada., Roy-Cardinal MH; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada., Olivié D; Department of Radiology, Radiation oncology and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada.; Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada., Giard JM; Department of Medicine, Division of Hepatology and Liver Transplantation, Université de Montréal, Montréal, Québec, Canada., Sebastiani G; Department of Medicine, Division of Gastroenterology and Hepatology, McGill University Health Centre (MUHC), Montréal, Québec, Canada., Nguyen BN; Department of Pathology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.; Department of Pathology and Cellular Biology, Université de Montréal, Montréal, Québec, Canada., Cloutier G; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montréal, Québec, Canada.; Department of Radiology, Radiation oncology and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada.; Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada., Tang A; Department of Radiology, Radiation oncology and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada.; Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.; Laboratory of Medical Image Analysis, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 Jan 27; Vol. 17 (1), pp. e0262291. Date of Electronic Publication: 2022 Jan 27 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0262291
Abstrakt: Objective: 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.
Methods: This ancillary study to a prospective institutional review-board approved study included 82 patients with non-alcoholic fatty liver disease, chronic hepatitis B or C virus, or autoimmune hepatitis. Elastography measurements, homodyned K-distribution parametric maps, and total attenuation coefficient slope were recorded. Random forests classification and bootstrapping were used to identify combinations of parameters that provided the highest diagnostic accuracy. Receiver operating characteristic (ROC) curves were computed.
Results: For classification of steatosis grade S0 vs. S1-3, S0-1 vs. S2-3, S0-2 vs. S3, area under the receiver operating characteristic curve (AUC) were respectively 0.60, 0.63, and 0.62 with elasticity alone, and 0.90, 0.81, and 0.78 with the best tested model combining QUS and elastography features. For classification of inflammation grade A0 vs. A1-3, A0-1 vs. A2-3, A0-2 vs. A3, AUCs were respectively 0.56, 0.62, and 0.64 with elasticity alone, and 0.75, 0.68, and 0.69 with the best model. For classification of liver fibrosis stage F0 vs. F1-4, F0-1 vs. F2-4, F0-2 vs. F3-4, F0-3 vs. F4, AUCs were respectively 0.66, 0.77, 0.72, and 0.74 with elasticity alone, and 0.72, 0.77, 0.77, and 0.75 with the best model.
Conclusion: Random forest models incorporating QUS and shear wave elastography increased the classification accuracy of liver steatosis, inflammation, and fibrosis when compared to shear wave elastography alone.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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