Retrospective Study
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Feb 27, 2021; 13(2): 127-140
Published online Feb 27, 2021. doi: 10.4240/wjgs.v13.i2.127
Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, De-Xing Kong, Wei-Lin Wang, Sheng Yan
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, De-Xing Kong, Wei-Lin Wang, Sheng Yan, Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, Wei-Lin Wang, Sheng Yan, Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, Wei-Lin Wang, Sheng Yan, Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, Wei-Lin Wang, Sheng Yan, Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
Bing-Jie Ju, Ming Jin, Yang Tian, Xiang Zhen, Wei-Lin Wang, Sheng Yan, Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
De-Xing Kong, School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, Zhejiang Province, China
Author contributions: Ju BJ and Tian Y reviewed the literature; Ju BJ, Jin M, Tian Y, and Zheng X collected patient data; Ju BJ analyzed all data and wrote the paper under the supervision of Kong DX, Wang WL and Yan S; All authors approved the final version of the manuscript.
Supported by National Natural Science Foundation of China, No. 81372626; Key Research and Development Project of Science and Technology Department of Zhejiang, China, No. 2015C03053; and Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents.
Institutional review board statement: The study was reviewed and approved by the Institutional Review Board at the Second Affiliated Hospital, Zhejiang University School of Medicine.
Informed consent statement: The requirement for informed consent was waived by the Institutional Review Board.
Conflict-of-interest statement: All authors are free from any economical or personal interest this paper may cause. There is no conflict of interest to report for any of the authors.
Data sharing statement: Dataset available from the corresponding author at shengyan@zju.edu.cn. Informed consent was not obtained but the presented data are anonymized and risk of identification is low. No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sheng Yan, MD, Professor, Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou 310009, Zhejiang Province, China. shengyan@zju.edu.cn
Received: August 27, 2020
Peer-review started: August 27, 2020
First decision: November 4, 2020
Revised: November 27, 2020
Accepted: December 16, 2020
Article in press: December 16, 2020
Published online: February 27, 2021
Core Tip

Core Tip: In this study, we developed a linear regression model to predict liver hardness and found that surgeons’ subjective palpation scores were comparable with durometer measures of liver hardness. The hardness model had a good ability to predict post-hepatectomy liver failure.