Publication Name	World Journal of Radiology
Manuscript ID	91995
Country	China

Received	2024-01-16 09:32
Peer-Review Started	2024-01-16 09:32
To Make the First Decision
Return for Revision	2024-04-26 04:56
Revised	2024-05-10 10:36
Second Decision	2024-05-29 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-05-29 06:25
Articles in Press	2024-05-29 06:25
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-06-17 12:44
Typeset the Manuscript	2024-07-01 09:26
Publish the Manuscript Online	2024-07-24 02:56

ISSN	1949-8470 (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.
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Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Ultrasomics in liver cancer: Developing a radiomics model for differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma using contrast-enhanced ultrasound
Manuscript Source	Unsolicited Manuscript
All Author List	Li-Ya Su, Ming Xu, Yan-Lin Chen, Man-Xia Lin and Xiao-Yan Xie
ORCID	Author(s) ORCID Number Li-Ya Su http://orcid.org/0000-0002-7771-893X Man-Xia Lin http://orcid.org/0000-0002-2969-0020 Xiao-Yan Xie http://orcid.org/0000-0002-9761-9525
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 92059201
Corresponding Author	Xiao-Yan Xie, MD, PhD, Director, Director, Department of Medical Ultrasound, The First Affiliated Hospital, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University, No. 58 Zhongshan Road 2, Guangzhou 510000, Guangdong Province, China. xxy1992@21cn.com
Key Words	Cholangiocarcinoma; Hepatocellular carcinoma; Contrast-enhanced ultrasound; Radiomics; Primary liver tumor
Core Tip	In this study, we successfully established a novel radiomics model that leverages contrast-enhanced ultrasound (CEUS) for accurate discrimination between intrahepatic cholangiocarcinoma and hepatocellular carcinoma, yielding impressive diagnostic results. The refined radiomics model incorporates 21 essential features, surpassing the diagnostic accuracy of seasoned radiologists, with an area under the receiver operating characteristic curve (AUC) of 0.971 compared to their AUC of 0.964. This model excels in diagnostic performance and ease of use, requiring only three specific time-point US+CEUS images, backed by a transparent image-acquisition protocol. Its implementation enhances diagnostic objectivity and diminishes the operator-dependence inherent in ultrasound examinations. Particularly valuable in regional hospitals lacking experienced radiologists, this stable ultrasomics-based model can provide additional diagnostic insights to radiologists of varying levels of experience, thereby elevating overall diagnostic accuracy.
Publish Date	2024-07-24 02:56
Citation	<p>Su LY, Xu M, Chen YL, Lin MX, Xie XY. Ultrasomics in liver cancer: Developing a radiomics model for differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma using contrast-enhanced ultrasound. <i>World J Radiol</i> 2024; 16(7): 247-255</p>
URL	https://www.wjgnet.com/1949-8470/full/v16/i7/247.htm
DOI	https://dx.doi.org/10.4329/wjr.v16.i7.247

Full Article (PDF)	WJR-16-247-with-cover.pdf
Manuscript File	91995-Review-FilipodiaCL.docx
Answering Reviewers	91995-answering-reviewers.pdf
Audio Core Tip	91995-audio.mp3
Biostatistics Review Certificate	91995-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	91995-conflict-of-interest-statement.pdf
Copyright License Agreement	91995-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	91995-foundation-statement.pdf
Signed Informed Consent Form(s) or Document(s)	91995-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	91995-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	91995-non-native-speakers.pdf
Peer-review Report	91995-peer-reviews.pdf
Scientific Misconduct Check	91995-scientific-misconduct-check.png
Scientific Editor Work List	91995-scientific-editor-work-list.pdf
CrossCheck Report	91995-crosscheck-report.pdf
CrossCheck Report	91995-crosscheck-report.png