Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma-Reference-Cited by-同舟云学术

Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

Published:2021-11-23 Issue: Volume: Page:
ISSN:1976-2283
Container-title:Gut and Liver
language:en
Short-container-title:Gut and Liver

Author:

Cho Hyo Jung¹^ORCID,Ahn Young Hwan¹^ORCID,Sim Min Suh¹^ORCID,Eun Jung Woo¹^ORCID,Kim Soon Sun¹^ORCID,Kim Bong Wan²^ORCID,Huh Jimi³^ORCID,Lee Jei Hee³^ORCID,Kim Jai Keun³^ORCID,Lee Buil⁴^ORCID,Cheong Jae Youn³^ORCID,Kim Bohyun³⁵^ORCID

Affiliation:

1. Department of Gastroenterology, Ajou University School of Medicine, Suwon, Korea

2. Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, Korea

3. Department of Radiology, Ajou University School of Medicine, Suwon, Korea

4. Insight Mining Corporation, Daejeon, Korea

5. Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea

Publisher

The Editorial Office of Gut and Liver

Subject

Gastroenterology,Hepatology

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1. Risk predictors of post-hepatectomy liver failure: unraveling complexities and navigating challenges in clinical application;Hepatobiliary Surgery and Nutrition;2024-06

2. Current status of preoperative risk assessment for posthepatectomy liver failure in patients with hepatocellular carcinoma;Annals of Gastroenterological Surgery;2023-05-21

3. Clinical application of Magnetic resonance elastography in hepatocellular carcinoma: from diagnosis to prognosis;Annals of Hepatology;2023-03

4. Assessment of an MR Elastography‐Based Nomogram as a Potential Imaging Biomarker for Predicting Microvascular Invasion of Hepatocellular Carcinoma;Journal of Magnetic Resonance Imaging;2022-12-08

5. Machine learning prediction model for post- hepatectomy liver failure in hepatocellular carcinoma: A multicenter study;Frontiers in Oncology;2022-11-02