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

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

Research output: Contribution to journalArticle

48 Citations (Scopus)

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 IDH1/2P (n = 16) or IDH1/2N (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 IDH1P group than IDH1N (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 IDH1P than IDH1N (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 IDH1N 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 IDH1P from IDH1N. In conclusion, histogram analysis of ADC and nCBV maps based on entire tumor volume can be a useful tool for distinguishing IDH1P and IDH1N, and it predicts that IDHP tumors have a more heterogeneous microenvironment than IDHN ones.

Original languageEnglish
Pages (from-to)141-150
Number of pages10
JournalJournal of Neuro-Oncology
Volume121
Issue number1
DOIs
Publication statusPublished - 2015 Jan 1
Externally publishedYes

Fingerprint

Perfusion Imaging
Glioma
Mutation
Genes
Isocitrate Dehydrogenase
Tumor Burden
Multivariate Analysis
Logistic Models
Regression Analysis
Students
Cerebral Blood Volume
Neoplasms

Keywords

  • ADC
  • DSC-PWI
  • DWI
  • High-grade gliomas
  • IDH gene mutation
  • Isocitrate dehydrogenase
  • nCBV

ASJC Scopus subject areas

  • Oncology
  • Neurology
  • Clinical Neurology
  • Cancer Research

Cite this

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. / Lee, Seunghyun; Choi, Seung Hong; Ryoo, Inseon; Yoon, Tae Jin; Kim, Tae Min; Lee, Se Hoon; Park, Chul Kee; Kim, Ji Hoon; Sohn, Chul Ho; Park, Sung Hye; Kim, Il Han.

In: Journal of Neuro-Oncology, Vol. 121, No. 1, 01.01.2015, p. 141-150.

Research output: Contribution to journalArticle

Lee, Seunghyun ; Choi, Seung Hong ; Ryoo, Inseon ; Yoon, Tae Jin ; Kim, Tae Min ; Lee, Se Hoon ; Park, Chul Kee ; Kim, Ji Hoon ; Sohn, Chul Ho ; Park, Sung Hye ; Kim, Il Han. / 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. In: Journal of Neuro-Oncology. 2015 ; Vol. 121, No. 1. pp. 141-150.
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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 IDH1/2P (n = 16) or IDH1/2N (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 IDH1P group than IDH1N (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 IDH1P than IDH1N (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 IDH1N 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 IDH1P from IDH1N. In conclusion, histogram analysis of ADC and nCBV maps based on entire tumor volume can be a useful tool for distinguishing IDH1P and IDH1N, and it predicts that IDHP tumors have a more heterogeneous microenvironment than IDHN ones.",
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AU - Ryoo, Inseon

AU - Yoon, Tae Jin

AU - Kim, Tae Min

AU - Lee, Se Hoon

AU - Park, Chul Kee

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AU - Sohn, Chul Ho

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