Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms.

Ko, Ji Su; Byun, Jieun; Park, Seongkeun; Woo, Ji Young

Ko, Ji Su; Byun, Jieun; Park, Seongkeun; Woo, Ji Young.

Afiliação

Ko JS; Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea.
Byun J; Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea. sueno54@naver.com.
Park S; Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea. sueno54@naver.com.
Woo JY; Machine Intelligence Laboratory, Department of Smart Automobile, Soonchunhyang University, Asan, Chungcheongnamdo, Republic of Korea.

Abdom Radiol (NY) ; 47(1): 161-173, 2022 01.

Article em En | MEDLINE | ID: mdl-34647145

Assuntos

Doença Hepática Terminal; Algoritmos; Meios de Contraste; Gadolínio DTPA; Humanos; Fígado/diagnóstico por imagem; Aprendizado de Máquina; Imageamento por Ressonância Magnética; Estudos Retrospectivos; Índice de Gravidade de Doença

Palavras-chave

Gadolinium ethoxybenzyl DTPA; Hepatobiliary images; Insufficient hepatic enhancement; Machine learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença Hepática Terminal Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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