BPG is committed to discovery and dissemination of knowledge
Articles in Press
4/23/2024 8:49:12 AM | Browse: 16 | Download: 0
Publication Name World Journal of Clinical Cases
Manuscript ID 93707
Country China
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Retrospective Cohort Study
Article Title Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization
Manuscript Source Unsolicited Manuscript
All Author List Qing-Long Guan, Hai-Xiao Zhang, Jun-Peng Gu, Geng-Fei Cao and Wei-Xin Ren
Funding Agency and Grant Number
Corresponding Author Wei-Xin Ren, MD, Chief Physician, Doctor, Postdoc, Postdoctoral Fellow, Department of Interventional Radiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137 Liyushan South Road, Urumqi 830011, Xinjiang Uygur Autonomous Region, China. rwx__1031@163.com
Key Words Magnetic resonance imaging; Radiomics; Deep learning; Progression-free survival; Transcatheter arterial chemoembolization; Hepatocellular carcinoma
Core Tip In this study, traditional radiomics and deep learning (DL) were used to model HCC in order to reflect the heterogeneity of tumors through voxel changes in images. The main purpose of this method is to extract the regions of interest features of the three-phase images of enhanced magnetic resonance imaging obtained before transarterial chemoembolization (TACE), construct the prediction model and nomogram through feature screening and least absolute shrinkage and selection operator regression, to construct a prediction model and nomogram to evaluate the clinical value of DL radiomics omics feature model and to predict progression-free survival after TACE.
Citation Guan QL, Zhang HX, Gu JP, Cao GF, Ren WX. Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization. World J Clin Cases 2024; In press
Received
2024-03-04 07:44
Peer-Review Started
2024-03-04 07:44
To Make the First Decision
Return for Revision
2024-04-13 02:42
Revised
2024-04-17 13:12
Second Decision
2024-04-23 02:48
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-04-23 08:49
Articles in Press
2024-04-23 08:49
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2307-8960 (online)
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com