The new morphologic classification of the hand motor cortex with magnetic resonance imaging in glioma patients

• Published in: Heliyon Vol. 10; no. 7; p. e28548
• Main Authors: Wu, Rongjie, Liu, Changtao, Yang, Congying, Xu, Dezhi, Yan, Shiwei, Fan, Xing, Liang, Jingshan
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 15.04.2024; Elsevier
• Subjects: Glioma; Hand motor cortex; Hemisphere; Magnetic resonance imaging; Morphological study; Hand motor cortex; Hemisphere; Glioma; Magnetic resonance imaging; Morphological study
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e28548

The hand motor cortex (HMC) is a reliable anatomical landmark for identifying the precentral gyrus. The current study aimed to investigate the morphology of HMC on axial MRI of glioma patients, propose a new morphological classification of HMC and analyze the effect of tumors on the morphology of HMC. A retrospective study of 276 adult right-handed glioma patients was conducted. The morphology of HMC was assessed using T2 axial images. Subsequently, the distribution of morphological subtypes was compared between the bilateral hemispheres and the tumor-affected and healthy hemispheres. Finally, the influence of tumor pathology on the morphology of HMC was investigated. A new morphological classification of HMC with four subtypes (Ω, ε, Ω-ε and ε-Ω) was proposed. No significant difference was identified in the distribution of morphological subtypes between the bilateral hemispheres (p = 0.0901, Chi-square test), or between the tumor-affected and healthy hemispheres (p = 0.3507, Chi-square test), and the morphology of HMC between the bilateral hemispheres were consistent (p < 0.0001, Kappa test). In addition, a significant difference was identified in the distribution of morphological subtypes between astrocytic and oligodendroglial tumors (p = 0.0135, Chi-square test). In the current study, we proposed a new morphological classification of HMC, and found that tumor could affect the morphology of HMC in glioma patients. The results can help our clinical practice, enabling us to further understand the spatial structure of the cerebral hemispheres.