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Application value of MRI texture analysis based on GLCM in differential diagnosis of intraspinal meningioma and schwannoma
LIANG Jie  DU Xin  WANG Xianliang  PU Rujian  ZHU Wanping 

Cite this article as: Liang J, Du X, Wang XL, et al. Application value of MRI texture analysis based on GLCM in differential diagnosis of intraspinal meningioma and schwannoma[J]. Chin J Magn Reson Imaging, 2022, 13(8): 84-87. DOI:10.12015/issn.1674-8034.2022.08.016.


[Abstract] Objective To investigate the clinical value of MRI texture analysis based on gray-level co-occurrence matrix (GLCM) in differentiating intraspinal meningioma and schwannoma.Materials and Methods Thirty-two cases of intraspinal schwannoma and 26 cases of meningioma confirmed by pathology were analyzed retrospectively. The region of interest (ROI) of the largest layer of the tumor was selected in T2WI and contrast-enhanced T1WI sagittal images by using imageJ software, and the GLCM texture parameters of the lesions were extracted.Results The differences of tumor parameters between the two groups were compared, and the diagnostic efficiency of each parameter was evaluated. There was a significant difference between the two groups (P＜0.05); there was significant difference in energy, contrast, correlation and entropy between the two groups in contrast-enhanced T1WI sequence (P＜0.05). The energy and correlation of schwannoma group were less than that of meningioma group, the contrast and entropy were greater than that of meningioma group, and there was no significant difference between inverse gap groups (P＞0.05). ROC curve analysis showed that the entropy in T2WI sequence and the energy diagnosis efficiency in contrast-enhanced T1WI sequence were the best. The joint diagnosis of texture parameters by logistic regression analysis has improved the diagnosis efficiency compared with that of single parameter.Conclusions MRI texture analysis based on GLCM has certain clinical value in the differential diagnosis of intraspinal meningioma and schwannoma.
[Keywords] magnetic resonance imaging；texture analysis；meningioma；schwannoma；gray-level co-occurrence matrix

LIANG Jie1   DU Xin1   WANG Xianliang1   PU Rujian2   ZHU Wanping3*  

1 Department of Radiology, Weifang People's Hospital, Weifang 261041, China

2 School of Medical Imaging, Weifang Medical University, Weifang 261053, China

3 Department of Spinal Surgery, Weifang People's Hospital, Weifang 261041, China

Zhu WP, E-mail: zwplj2020@126.com

Conflicts of interest   None.

Received  2022-04-20
Accepted  2022-08-05
DOI: 10.12015/issn.1674-8034.2022.08.016
Cite this article as: Liang J, Du X, Wang XL, et al. Application value of MRI texture analysis based on GLCM in differential diagnosis of intraspinal meningioma and schwannoma[J]. Chin J Magn Reson Imaging, 2022, 13(8): 84-87. DOI:10.12015/issn.1674-8034.2022.08.016.

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