Publication Name	World Journal of Clinical Cases
Manuscript ID	91121
Country	China

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Multimodal imaging in the diagnosis of bone giant cell tumors: A retrospective study
Manuscript Source	Unsolicited Manuscript
All Author List	Ming-Qing Kou, Bing-Qiang Xu and Hui-Tong Liu
Funding Agency and Grant Number	Funding Agency Grant Number Technology Innovation Leading Program of Shaanxi 2023KXJ-095 Shaanxi Provincial People's Hospital Science and Technology Talent Support Program for Elite Talents 2021JY-38 Shaanxi Provincial People's Hospital Science and Technology Talent Support Program for Elite Talents 2021JY-50 Shaanxi Provincial People's Hospital Science and Technology Development Incubation Foundation 2023YJY-39
Corresponding Author	Hui-Tong Liu, MD, PhD, Attending Doctor, Surgeon, Department of Orthopedics, Shaanxi Provincial People's Hospital, No. 256 Youyi West Road, Beilin District, Xi'an 710068, Shaanxi Province, China. liuhuitong@126.com
Key Words	Giant cell tumor of bone; Multimodal imaging; Computed tomography; Magnetic resonance imaging; PET-CT
Core Tip	Multimodal imaging plays an important role in the diagnosis of giant cell tumors. X-ray, computed tomography, magnetic resonance imaging, and positron emission tomography-computed tomography imaging have their own advantages and can provide a reference for the treatment of giant cell tumors.
Citation	Kou MQ, Xu BQ, Liu HT. Multimodal imaging in the diagnosis of bone giant cell tumors: A retrospective study. World J Clin Cases 2024; In press

Received	2023-12-22 11:23
Peer-Review Started	2023-12-22 11:23
To Make the First Decision
Return for Revision	2024-01-29 21:42
Revised	2024-02-11 22:39
Second Decision	2024-04-18 02:39
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-04-18 08:03
Articles in Press	2024-04-18 08:03
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: http://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