Literature DB >> 30986488

Evaluation of intracerebral ventricles volume of patients with Parkinson's disease using the atlas-based method: A methodological study.

Hikmet Kocaman1, Niyazi Acer2, Emel Köseoğlu3, Murat Gültekin3, Halil Dönmez4.   

Abstract

Knowing the volumetric changes in brain can allow for the estimation of the disease progression of various neurodegenerative disorders. Many studies have been shown that the volumetric changes in the some brain structures especially including the dopaminergic neurons, in patients with Parkinson's disease (PD). The objective of this study was to compare intracerebral ventricles volume in patients with PD and healthy subjects to compare an automated atlas-based method (MRIStudio software) and a manual method (ImageJ). T1-weighted brain Magnetic Resonance Imaging (MRI) data of 21 patients with PD and 20 healthy individuals were used to calculate the intracerebral ventricle volumes. Measurement results obtained by ImageJ were considered as the gold standard. We found a significant increase in the left occipital part of the lateral ventricle volume in the patients with PD compared to the control subjects (p < 0.05). Also, no significant difference was found between the two methods of measurement (p > 0.05), meaning that a substantial agreement was found between the results obtained with the atlas-based analysis and manual method. The present study showed that MRIStudio can be performed easily and accurately on routine MRI scans for which the total intracerebral ventricles volume is to be estimated in PD. We suggest that, the attained volume values of intracerebral ventricles may provide a precious data for volumetric dependences of the anatomical structures in several clinical conditions.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atlas-based analysis; Brain parcellation; Intracerebral ventricles; MRI; MRIStudio; Parkinson’s disease

Year:  2019        PMID: 30986488     DOI: 10.1016/j.jchemneu.2019.04.005

Source DB:  PubMed          Journal:  J Chem Neuroanat        ISSN: 0891-0618            Impact factor:   3.052


  2 in total

1.  AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.

Authors:  Xi Zhou; Qinghao Ye; Xiaolin Yang; Jiakun Chen; Haiqin Ma; Jun Xia; Javier Del Ser; Guang Yang
Journal:  Neural Comput Appl       Date:  2022-02-24       Impact factor: 5.606

2.  Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features.

Authors:  Yang Ya; Lirong Ji; Yujing Jia; Nan Zou; Zhen Jiang; Hongkun Yin; Chengjie Mao; Weifeng Luo; Erlei Wang; Guohua Fan
Journal:  Front Aging Neurosci       Date:  2022-04-13       Impact factor: 5.702

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.