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9/10/2019 11:33:12 PM | Browse: 139 | Download: 277
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 49786
Country China
Category Oncology
Manuscript Type Observational Study
Article Title Multi-parameter ultrasound based on logistic regression model in differential diagnosis of hepatocellular adenoma and focal nodular hyperplasia
Manuscript Source Unsolicited Manuscript
All Author List Meng Wu, Ru-Hai Zhou, Feng Xu, Xian-Peng Li, Ping Zhao, Rui Yuan, Yu-Peng Lan and Wei-Xia Zhou
Funding Agency and Grant Number
Funding Agency Grant Number
Zhejiang Natural Science Foundation LY16H160004
Ningbo Yinzhou District Agricultural and Social Development Science and Technology Project.
Corresponding Author Meng Wu, MD, Doctor, Department of Ultrasound, Yinzhou Hospital affiliated to Ningbo University School of Medicine, NO. 251 Baizhang East Road, Ningbo City, Zhejiang Province, Ningbo City 315040, Zhejiang Province, China. wumengcool@sina.com
Key Words Hepatocellular adenoma; Focal nodular hyperplasia; Ultrasound; Logistic regression; ;
Core Tip The prognosis of hepatocellular adenoma (HCA) is significantly different from focal nodular hyperplasia (FNH). Accurate identification of HCA and FNH is of great significance. This study explored the accuracy of combined detection of HCA and FNH by conventional ultrasound, shear wave elastography, and contrast-enhanced ultrasound. The combination of lesion echo, Young’s modulus value and time intense curve decreasing slop in multi-parameter ultrasound index based on logistic regression has high clinical guiding value for differential diagnosis of HCA and FNH.
Citation Meng W, Zhou RH, Xu F, Li XP, Zhao P, Yuan R, Lan YP, Zhou WX. Multi-parameter ultrasound based on logistic regression model in differential diagnosis of hepatocellular adenoma and focal nodular hyperplasia. World J Gastrointest Oncol 2019; 11(12): 1193-1205
Received
2019-06-15 09:47
Peer-Review Started
2019-06-18 02:10
To Make the First Decision
2019-08-01 00:23
Return for Revision
2019-08-01 07:07
Revised
2019-08-13 06:51
Second Decision
2019-09-10 10:47
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-09-10 23:33
Articles in Press
2019-09-10 23:33
Publication Fee Transferred
Edit the Manuscript by Language Editor
2019-09-25 18:35
Typeset the Manuscript
2019-10-29 02:35
ISSN 1948-5204 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
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