Can Diffusion Tensor Imaging Noninvasively Detect IDH1 Gene Mutations in Astrogliomas? A Retrospective Study of 112 Cases

Tan, Weihan; Huang, Weiyuan; Yin, Bo; Xiong, Ji; Wu, Jin; Geng, Daoying

doi:10.3174/ajnr.a3803

Cited by 55 publications

(45 citation statements)

References 32 publications

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“…The potential advantage of the histogram method is that obtaining the total voxel values of a tumor would provide data that are more objective in a single tumor [13,26]. Tan et al [27] reported that minimal ADC and relative minimal ADC could be used for the differentiation of the HGGs with IDH1 R132H mutation and those without the mutation. In our study, the ADC mean value, A10 and A50 of the IDH1 N group were significantly lower than the IDH1 P group, which means that IDH1 P tumors had a more heterogeneous microenvironment.…”

Section: Discussionmentioning

confidence: 98%

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

et al. 2014

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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 mm(2)/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.

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Section: Discussionmentioning

confidence: 98%

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

et al. 2014

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“…In a similar fashion, a previous DTI study for IDH typing used multiple ROI placements and a two-reader consensus method to obtain minimum ADC values [24]. …”

Section: Discussionmentioning

confidence: 99%

Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis

et al. 2018

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ObjectivesTo investigate if quantitative apparent diffusion coefficient (ADC) measurements can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole tumour against single slice analysis.MethodsVolumetric T2-derived masks of 44 gliomas were co-registered to ADC maps with ADC mean (ADCmean) calculated. For the slice analysis, two observers placed regions of interest in the largest tumour cross-section. The ratio (ADCratio) between ADCmean in the tumour and normal appearing white matter was calculated for both methods.ResultsIsocitrate dehydrogenase (IDH) wild-type gliomas showed the lowest ADC values throughout (p < 0.001). ADCmean in the IDH-mutant 1p19q intact group was significantly higher than in the IDH-mutant 1p19q co-deleted group (p < 0.01). A volumetric ADCmean threshold of 1201 × 10−6 mm2/s identified IDH wild-type with a sensitivity of 83% and a specificity of 86%; a volumetric ADCratio cut-off value of 1.65 provided a sensitivity of 80% and a specificity of 92% (area under the curve (AUC) 0.9–0.94). A slice ADCratio threshold for observer 1 (observer 2) of 1.76 (1.83) provided a sensitivity of 80% (86%), specificity of 91% (100%) and AUC of 0.95 (0.96). The intraclass correlation coefficient was excellent (0.98).ConclusionsADC measurements can support the distinction of glioma subtypes. Volumetric and two-dimensional measurements yielded similar results in this study.Key Points • Diffusion-weighted MRI aids the identification of non-gadolinium-enhancing malignant gliomas • ADC measurements may permit non-gadolinium-enhancing glioma molecular subtyping • IDH wild-type gliomas have lower ADC values than IDH-mutant tumours • Single cross-section and volumetric ADC measurements yielded comparable results in this study

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“…The authors found that, although FA and ADC values can detect IDH1 mutation, the ratio of minimal ADC is the best measurement for this proposal. 14 …”

Section: Isocitrate Dehydrogenasementioning

confidence: 97%

“…2). 14 Among low-grade gliomas, the incidence of mutation of arginine 132 (R132) in the IDH1 enzyme is much more evident and has been reported in more than 85% of grade II and III gliomas. 19 In a recent genome-wide analysis, mutations at codon 132 of IDH1 were found in less than 10% of primary GBMs, whereas this frequency is higher among secondary GBMs, accounting for more than 70%.…”

Section: Isocitrate Dehydrogenasementioning

confidence: 99%

“…14,17 IDH mutations have also been correlated with a higher rate of objective response to TMZ. 14,18 Somatic mutations in isocitrate dehydrogenase 1 and 2 genes (IDH1 and IDH2) have been identified in primary brain cancers. These mutations result in the substitution of the arginine 132 codons by histidine in IDH1, which causes alterations in the normal enzymatic activities.…”

Section: Isocitrate Dehydrogenasementioning

confidence: 99%

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Neuroimaging and Genetic Influence in Treating Brain Neoplasms

Cruz

Kimura²

2015

Neuroimaging Clinics of North America

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Can Diffusion Tensor Imaging Noninvasively Detect IDH1 Gene Mutations in Astrogliomas? A Retrospective Study of 112 Cases

Abstract: BACKGROUND AND PURPOSE: IDH1 mutational status probably plays an important role in the predictive response for patients with astroglioma. This study explores whether DTI metrics are able to noninvasively detect IDH1 status in astrogliomas.

Cited by 55 publications

References 32 publications

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

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

Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis

Neuroimaging and Genetic Influence in Treating Brain Neoplasms

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