Open AccessRole of Dynamic Susceptibility Contrast Perfusion MRI in Glioma Progression Evaluation
Author(s) -
Quan Guanmin,
Kexin Zhang,
Yawu Liu,
Jialiang Ren,
Deyou Huang,
Weiwei Wang,
Yuan Tao
Publication year - 2021
Publication title -
journal of oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.228
H-Index - 54
eISSN - 1687-8469
pISSN - 1687-8450
DOI - 10.1155/2021/1696387
Subject(s) - medicine , glioma , cerebral blood volume , nuclear medicine , perfusion , dynamic contrast , tumor progression , magnetic resonance imaging , radiology , cancer , cancer research
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.