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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Neurosci. | doi: 10.3389/fnins.2019.01113

The diagnostic value of MRI-based texture analysis for discrimination of common posterior fossa tumors: a feasible study

Yang Zhang1, 2,  Chaoyue Chen1, 2,  Zerong Tian1, 2, Ridong Feng1, 2, Yangfan Cheng2 and  Jianguo Xu1, 2*
  • 1Department of Neurosurgery, West China Hospital, Sichuan University, China
  • 2West China Hospital, Sichuan University, China

Objectives To investigate the diagnostic value of MRI-based texture analysis in discriminating common posterior fossa tumors: medulloblastoma, brain metastasis and hemangioblastoma.
Methods A total number of 185 patients were included in this study, 63 with medulloblastoma, 56 with brain metastasis and 66 with hemangioblastoma. Texture features derived from Histogram based matrix and Grey-level co-occurrence matrix were extracted from contrast-enhanced T1-weighted (T1C) image and fluid-attenuation inversion recovery (FLAIR) image. Mann-Whitney U test was conducted to identify whether texture features were significantly different. Binary logistic regression analysis was performed to assess if they could be taken as independent predictors, which were combined to build integrated models. Receiver operating characteristic analysis was conducted to evaluate their practical value in discrimination.
Results Several texture features from T1C image and FLAIR image were found to be significantly different in discrimination. The integrated models represented higher discriminatory power than any single texture feature, with the AUC of 0.808 (medulloblastoma versus hemangioblastoma), 0.871 (medulloblastoma versus brain metastasis) and 0.880 (brain metastasis versus hemangioblastoma).
Conclusion Texture analysis had the potential to be served as a feasible method in the differentiation among common posterior fossa tumors. Moreover, the integration of single texture feature displayed more promising value in discrimination.

Keywords: Magnetic Resonance Imaging, Texture Analysis, Posterior fossa tumors, Medulloblastoma, brain metastasis, Hemangioblastoma

Received: 03 May 2019; Accepted: 02 Oct 2019.

Copyright: © 2019 Zhang, Chen, Tian, Feng, Cheng and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Jianguo Xu, Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China,