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• Clinical Article •
Texture analysis of 3D-arterial spin labeling imaging in glioma grading: a pilot study
DENG Dabiao  MAO Jiaji  WANG Wensheng  SHEN Jun  CHENG Lina  LI Songtao  WU Jing 

Cite this article as: Deng DB, Mao JJ, Wang WS, et al. Texture analysis of 3D-arterial spin labeling imaging in glioma grading: a pilot study. Chin J Magn Reson Imaging, 2019, 10(5): 321-326. DOI:10.12015/issn.1674-8034.2019.05.001.


[Abstract] Objective: To explore the value of texture analysis based on ASL images in evaluating the heterogeneity of glioma and peritumoral edema.Materials and Methods: Eighty-one patients with glioma, confirmed by pathology, were enrolled from January 2016 to June 2018. These patients underwent routine MRI and 3D-ASL preoperative. There were 31 cases of low-grade gliomas and 50 cases of high-grade gliomas. The Max layers of tumor parenchyma and peritumoral edema were delineated on ASL gray scale images as region of interest (ROI) respectively. The histogram and gray level co-occurrence matrix texture analysis were performed using Omni-Kinetics software. Thirty-two texture feature parameters of ASL gray scale images were measured. Compare the differences of texture parameters between high grade and low grade gliomas for tumor parenchyma and peritumoral edema by unpaired student’s t-test or Mann-Whitney U test. ROC curves for statistically significant parameters were used to evaluate their efficacy.Results: Twenty-one texture parameters of tumor parenchyma had significant difference between high and low grade gliomas (P<0.05), while 19 texture parameters of peritumoral edema had significant difference (P<0.05). Receiver operating characteristic(ROC) were plotted , and showed that uniformity and energy of tumor parenchyma of AUC was 0.71 (95%CI: 0.59—0.8), 0.72 (95%CI: 0.59—0.85), the critical value was 0.81, 3.21×10-2, the sensitivity was 48.4%, 61.3%, the specificity was 92.00%, 92.00%, the positive predictive values was 78.9%, 82.6%, and the negative predictive values was 74.2%, 79.3%, respectively. The min intensity of peritumoral edema of AUC was 0.72 (95%CI: 0.60—0.85), the critical value was 30, the sensitivity was 84%, the specificity was 58.14%, the positive predictive value was 53.8%, and the negative predictive value was 86.0%.Conclusions: Texture analysis based on ASL images can provide more quantitative information, which is valuable for evaluating the heterogeneity of tumor parenchyma and peritumoral edema of gliomas.
[Keywords] glioma；texture analysis；magnetic resonance imaging；neoplasm grading

DENG Dabiao Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

MAO Jiaji* Radiology Department, Sun Yat-sen Memorial Hospital, Guangzhou 5105120, China

WANG Wensheng Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

SHEN Jun Radiology Department, Sun Yat-sen Memorial Hospital, Guangzhou 5105120, China

CHENG Lina Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

LI Songtao Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

WU Jing Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

*Correspondence to: Mao JJ, E-mail: maojj5@mail2.sysu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Medical Scientific Research Foundation of Guangdong Province No. B2017113
Received  2018-11-13
Accepted  2019-01-20
DOI: 10.12015/issn.1674-8034.2019.05.001
Cite this article as: Deng DB, Mao JJ, Wang WS, et al. Texture analysis of 3D-arterial spin labeling imaging in glioma grading: a pilot study. Chin J Magn Reson Imaging, 2019, 10(5): 321-326. DOI:10.12015/issn.1674-8034.2019.05.001.

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