Literature DB >> 31589984

Texture Analysis of T1-Weighted Contrast-Enhanced Magnetic Resonance Imaging Potentially Predicts Outcomes of Patients with Non-Wingless-Type/Non-Sonic Hedgehog Medulloblastoma.

Jiaqi Li1, Chaoyue Chen2, Rao Fu3, Yang Zhang2, Yimeng Fan4, Jianguo Xu2, Ying Cen5.   

Abstract

OBJECTIVE: To investigate whether tumor texture features derived from preoperative T1-weighted magnetic resonance imaging (MRI) are associated with overall survival (OS) of patients with non-wingless-type (WNT)/non-sonic hedgehog (SHH) medulloblastoma.
METHODS: We retrospectively reviewed 38 patients with non-WNT/non-SHH (encompassing group 3 and group 4) medulloblastoma treated with surgery in our institution from 2013 to 2016. All patients were followed-up for at least 2 years or until death. Primary tumor traditional parameters were evaluated, and texture features were extracted from preoperative T1-weighted MRI, including 4 features from the histogram matrix and 6 textures from the gray-level co-occurrence matrix (GLCM). Texture features were dichotomized into 2 subgroups based on their optimal cutoff values obtained from receiver operating characteristics curve analysis. Two-year OS was compared between the dichotomized subgroups using the Kaplan-Meier analysis and log-rank test. Multivariate Cox regression analysis was performed to determine independent prognostic factors.
RESULTS: The therapy regimen was the only basic characteristic significantly related to 2-year OS (P = 0.015). Two features of the GLCM were shown to be significantly associated with 24-month OS. Multivariate Cox regression analysis revealed that GLCM homogeneity (adjusted hazard ratio, 0.145; P = 0.013) was an independent prognostic predictor for patients.
CONCLUSIONS: Texture analysis on T1-weighted contrast-enhanced MRI potentially serves as a prognostic predictor of survival for patients with non-WNT/non-SHH medulloblastoma.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MRI; Non-WNT/non-SHH medulloblastoma; Texture analysis

Year:  2019        PMID: 31589984     DOI: 10.1016/j.wneu.2019.09.142

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  3 in total

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Authors:  Asier Rabasco Meneghetti; Alex Zwanenburg; Steffen Löck
Journal:  EBioMedicine       Date:  2020-11-21       Impact factor: 8.143

2.  Risk Factors for Survival in Patients With Medulloblastoma: A Systematic Review and Meta-Analysis.

Authors:  Yu Liu; Bo Xiao; Sen Li; Jiangang Liu
Journal:  Front Oncol       Date:  2022-03-03       Impact factor: 6.244

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Journal:  Contrast Media Mol Imaging       Date:  2022-07-19       Impact factor: 3.009

  3 in total

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