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• Clinical Article •
Application of synthetic diffusion-weighted imaging in evaluating the grading of glioma
LÜ Ruirui  DANG Pei  GE Xin  LI Min  HUANG Xueying  WANG Minglei  YANG Xuhong  YONG Peng  WANG Xiaodong 

Cite this article as: Lü RR, Dang P, Ge X, et al. Application of synthetic diffusion-weighted imaging in evaluating the grading of glioma[J]. Chin J Magn Reson Imaging, 2022, 13(7): 12-16. DOI:10.12015/issn.1674-8034.2022.07.003.


[Abstract] Objective To evaluate the value of synthetic diffusion-weighted imaging (synthetic DWI) in the evaluation of high and low grade gliomas.Materials and Methods The patients with gliomas were analyzed retrospectively, who underwent brain MRI (GE Signa Architect 3.0 T) one week before operation. Finally, 72 patients were included according to the inclusion and exclusion criteria (30 low-grade gliomas and 42 high-grade gliomas). Two neuroimaging diagnostic physicians used the double-blind method to evaluate and outline the region of interest (ROI) of the lesions on synthetic DWI. The signal intensity of DWI images with different b values was analyzed and compared with the final pathological results. Independent sample t test was used to compare between the two groups. Logistic regression and area under the receiver operating characteristic curve (AUC) analysis were used to evaluate the diagnostic efficacy of high and low grade gliomas.Results For differentiating high and low grade gliomas, the synthetic DWI b values were 500, 800, 1000, 1200, 1500, 1800, 2000, 2200 and the signal intensity values corresponding to 2500 s/mm2 were statistically significant (P＜0.001). When b value was 2500 s/mm2, the diagnostic efficiency of differentiating high and low grade gliomas was the highest, AUC was 0.935, the sensitivity was 98%, and the specificity was 87%.Conclusions A single scan of synthetic DWI can obtain the corresponding signal intensity value under any b values from 0 to 2500 s/mm2, and with the increasing of b values, the diagnostic efficiency of glioma grading is higher.
[Keywords] glioma；magnetic resonance imaging；synthetic diffusion weighted imaging；grading；diagnosis

LÜ Ruirui1   DANG Pei2   GE Xin1   LI Min3   HUANG Xueying2   WANG Minglei2   YANG Xuhong1   YONG Peng1   WANG Xiaodong2*  

1 School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China

2 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China

3 GE Healthcare, MR Enhancement Application, Beijing 100176, China

Wang XD, E-mail: xdw80@yeah.net

Conflicts of interest   None.

ACKNOWLEDGMENTS Natural Science Foundation of Ningxia Hui Autonomous Region (No. 2022AAC03487); Science and Technology Key Research Program of Ningxia Hui Autonomous Region (No. 2019BEG03037).
Received  2022-02-28
Accepted  2022-07-06
DOI: 10.12015/issn.1674-8034.2022.07.003
Cite this article as: Lü RR, Dang P, Ge X, et al. Application of synthetic diffusion-weighted imaging in evaluating the grading of glioma[J]. Chin J Magn Reson Imaging, 2022, 13(7): 12-16. DOI:10.12015/issn.1674-8034.2022.07.003.

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