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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jan 6, 2020; 8(1): 29-37
Published online Jan 6, 2020. doi: 10.12998/wjcc.v8.i1.29
Published online Jan 6, 2020. doi: 10.12998/wjcc.v8.i1.29
Three-dimensional computed tomography mapping of posterior malleolar fractures
Qi-Hang Su, Yan Zhang, Jun Tan, Mei-Jun Yan, Kai Zhu, Jin Zhang, Department of Orthopedics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
Juan Liu, Department of the First Clinical Medical School, Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
Jun Tan, Department of Orthopedics, Pinghu Second People’s Hospital, Pinghu 314200, Zhejiang Province, China
Cong Li, Department of Trauma Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
Author contributions: Su QH and Liu J contributed equally to this work; Su QH, Liu J, Li C and Tan J designed the research; Su QH, Liu J, Zhang Y, Yan MJ and Zhu K performed the research; Zhang J and Li C contributed new analytic tools; Su QH and Juan Liu analyzed data; and Su QH and Liu J wrote the paper.
Supported by Multicenter Clinical Trial of hUC-MSCs in the Treatment of Late Chronic Spinal Cord Injury , No. 2017YFA0105404 ; and Key Discipline Construction Project of Pudong Health Bureau of Shanghai , No. PWZxk2017-08 .
Institutional review board statement: Shanghai East Hospital (East Hospital Affiliated to Tongji University) Medical Ethics Committee approved the study protocol, which met the relevant guidelines and regulations of Shanghai Medical Ethics Committee. All included volunteers had signed an informed consent form.
Informed consent statement: Informed written consent was obtained from the patients for publication of this manuscript and any accompanying images.
Conflict-of-interest statement: The authors declare that they have no financial or other conflicts of interest in relation to this research and its publication.
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/
Corresponding author: Cong Li, MD, Doctor, Department of Trauma Surgery, Shanghai East Hospital, Tongji University School of Medicine, No. 150, Jimo Road, Pudong New Area, Shanghai 200120, China. 15900549514@163.com
Received: October 9, 2019
Peer-review started: October 9, 2019
First decision: November 13, 2019
Revised: November 28, 2019
Accepted: November 30, 2019
Article in press: November 30, 2019
Published online: January 6, 2020
Peer-review started: October 9, 2019
First decision: November 13, 2019
Revised: November 28, 2019
Accepted: November 30, 2019
Article in press: November 30, 2019
Published online: January 6, 2020
Core Tip
Core tip: With increasing concern over the big data analytics, the distribution map of fracture lines (named fracture mapping) based on three dimensional computed tomography has also been widely used in the orthopedic field to characterize fractures. By creating fracture maps of the posterior malleolar fractures, the study revealed the fracture characteristics and recurrent patterns of posterior malleolar fractures.