Role of Dynamic Susceptibility Contrast Perfusion MRI in Glioma Progression Evaluation

Author:

Quan Guanmin1,Zhang Kexin1,Liu Yawu2,Ren Jia-Liang3,Huang Deyou4,Wang Weiwei5,Yuan Tao1ORCID

Affiliation:

1. Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China

2. Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland

3. GE Healthcare China, Beijing, China

4. Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China

5. Department of Radiology, Handan Central Hospital, Handan, China

Abstract

Accurately and quickly differentiating true progression from pseudoprogression in glioma patients is still a challenge. This study aims to explore if dynamic susceptibility contrast- (DSC-) MRI can improve the evaluation of glioma progression. We enrolled 65 glioma patients with suspected gadolinium-enhancing lesion. Longitudinal MRI follow-up (mean 590 days, range: 210–2670 days) or re-operation (n = 3) was used to confirm true progression (n = 51) and pseudoprogression (n = 14). We assessed the diagnostic performance of each MRI variable and the different combinations. Our results showed that the relative cerebral blood volume (rCBV) in the true progression group (1.094, 95%CI: 1.135–1.636) was significantly higher than that of the pseudoprogression group (0.541 ± 0.154) p < 0.001 . Among the 18 patients who had serial DSC-MRI, the rCBV of the progression group (0.480, 95%CI: 0.173–0.810) differed significantly from pseudoprogression (-0.083, 95%CI: −1.138–0.620) group p = 0.015 . With an rCBV threshold of 0.743, the sensitivity and specificity for discriminating true progression from pseudoprogression were 76.5% and 92.9%, respectively. The Cho/Cr and Cho/NAA ratios of the true progression group (2.520, 95%CI: 2.331–2.773; 2.414 ± 0.665, respectively) were higher than those of the pseudoprogression group (1.719 ± 0.664; 1.499 ± 0.500, respectively) ( p = 0.001 , p < 0.001 , respectively). The areas under ROC curve (AUCs) of enhancement pattern, MRS, and DSC-MRI for the differentiation were 0.782, 0.881, and 0.912, respectively. Interestingly, when combined enhancement pattern, MRS, and DSC-MRI variables, the AUC was 0.965 and achieved sensitivity 90.2% and specificity 100.0%. Our results suggest that DSC-MRI can significantly improve the diagnostic performance for identifying glioma progression. DSC-MRI combined with conventional MRI may promptly distinguish true gliomas progression from pseudoprogression when the suspected gadolinium-enhancing lesion was found, without the need for a long-term follow-up.

Funder

Specialist Leadership Project of Hebei Province

Publisher

Hindawi Limited

Subject

Oncology

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