Erschienen in:
01.01.2015 | Clinical Study
Evaluation of the microenvironmental heterogeneity in high-grade gliomas with IDH1/2 gene mutation using histogram analysis of diffusion-weighted imaging and dynamic-susceptibility contrast perfusion imaging
verfasst von:
Seunghyun Lee, Seung Hong Choi, Inseon Ryoo, Tae Jin Yoon, Tae Min Kim, Se-Hoon Lee, Chul-Kee Park, Ji-Hoon Kim, Chul-Ho Sohn, Sung-Hye Park, Il Han Kim
Erschienen in:
Journal of Neuro-Oncology
|
Ausgabe 1/2015
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Abstract
The purpose of our study was to explore the difference between isocitrate dehydrogenase (IDH)-1/2 gene mutation-positive and -negative high-grade gliomas (HGGs) using histogram analysis of apparent diffusion coefficient (ADC) and normalized cerebral blood volume (nCBV) maps. We enrolled 52 patients with histopathologically confirmed HGGs with IDH1/2
P (n = 16) or IDH1/2
N (n = 36). Histogram parameters of ADC and nCBV maps were correlated with gene mutations by using the unpaired student’s t test and multivariable stepwise logistic regression analysis. The mean ADC value was higher in the IDH1
P group than IDH1
N (1,282.8 vs. 1,159.6 mm2/s, P = .0113). In terms of the cumulative ADC histograms, the 10th and 50th percentile values were also higher in the IDH1
P than IDH1
N (P = .0104 and .0183, respectively). We observed a higher 90th percentile value (3.121 vs. 2.397, P = .0208) and a steeper slope between the 10th (C10) and 90th (C90) of cumulative nCBV histograms (0.03386 vs. 0.02425/%, P = .0067) in the IDH1
N group. Multivariate analysis showed that the mean ADC mean value (P = .0048), the C90 value (P = .0113), and the slope between C10 and C90 (P = .0049) were the significant variables in the differentiation of IDH1
P from IDH1
N. In conclusion, histogram analysis of ADC and nCBV maps based on entire tumor volume can be a useful tool for distinguishing IDH1
P and IDH1
N, and it predicts that IDH
P tumors have a more heterogeneous microenvironment than IDH
N ones.