Deng JH, Zhang HW, Liu XL, Deng HZ, Lin F. Morphological changes in Parkinson's disease based on magnetic resonance imaging: A mini-review of subcortical structures segmentation and shape analysis. World J Psychiatry 2022; 12(12): 1356-1366 [PMID: 36579355 DOI: 10.5498/wjp.v12.i12.1356]
Corresponding Author of This Article
Fan Lin, MD, Professor, Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, No. 3002 Sungangxi Road, Shenzhen 518035, Guangdong Province, China. foxetfoxet@gmail.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
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/
World J Psychiatry. Dec 19, 2022; 12(12): 1356-1366 Published online Dec 19, 2022. doi: 10.5498/wjp.v12.i12.1356
Morphological changes in Parkinson's disease based on magnetic resonance imaging: A mini-review of subcortical structures segmentation and shape analysis
Jin-Huan Deng, Han-Wen Zhang, Xiao-Lei Liu, Hua-Zhen Deng, Fan Lin
Jin-Huan Deng, Han-Wen Zhang, Xiao-Lei Liu, Hua-Zhen Deng, Fan Lin, Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518035, Guangdong Province, China
Author contributions: Authors' contributions: Lin F contributed to the conception of the study; Zhang HW, Liu XL, and Deng HZ contributed significantly to analysis and manuscript preparation; Deng JH and Zhang HW performed the data analyses and wrote the manuscript; Zhang HW and Deng JH contributed equally to this study.
Supported bythe Guangdong Basic and Applied Basic Research Foundation, No. 2021A1515220131; Youth Exploration Fund of Shenzhen Health Economics Society, No. 202211; and Clinical Research Project of Shenzhen Second People’s Hospital, No. 223375022.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
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/
Corresponding author: Fan Lin, MD, Professor, Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, No. 3002 Sungangxi Road, Shenzhen 518035, Guangdong Province, China. foxetfoxet@gmail.com
Received: August 23, 2022 Peer-review started: August 23, 2022 First decision: October 21, 2022 Revised: November 2, 2022 Accepted: November 21, 2022 Article in press: November 21, 2022 Published online: December 19, 2022 Processing time: 115 Days and 7.6 Hours
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder caused by the loss of dopaminergic neurons in the substantia nigra, resulting in clinical symptoms, including bradykinesia, resting tremor, rigidity, and postural instability. The pathophysiological changes in PD are inextricably linked to the subcortical structures. Shape analysis is a method for quantifying the volume or surface morphology of structures using magnetic resonance imaging. In this review, we discuss the recent advances in morphological analysis techniques for studying the subcortical structures in PD in vivo. This approach includes available pipelines for volume and shape analysis, focusing on the morphological features of volume and surface area.
Core Tip: Parkinson's disease (PD) is a neurodegenerative disorder caused by the loss of dopaminergic neurons in the substantia nigra, resulting in clinical symptoms, including bradykinesia, resting tremor, rigidity, and postural instability. The pathophysiological changes in PD are inextricably linked to the subcortical structures. Shape analysis is a method for quantifying the volume or surface morphology of structures using magnetic resonance imaging. In this review, we discuss the recent advances in morphological analysis techniques for studying the subcortical structures in PD in vivo. This approach includes available pipelines for volume and shape analysis, focusing on the morphological features of volume and surface area.