Can diffusion tensor imaging noninvasively detect IDH1 gene mutations in astrogliomas? A retrospective study of 112 cases

• Published in: American journal of neuroradiology : AJNR 2014-05, Vol.35 (5), p.920-927
• Main Authors: Tan, W L, Huang, W Y, Yin, B, Xiong, J, Wu, J S, Geng, D Y
• Format: Article
• Language: English
• Subjects: Adult; Astrocytoma - genetics; Astrocytoma - pathology; Brain; Brain Neoplasms - genetics; Brain Neoplasms - pathology; Diffusion Tensor Imaging - methods; Female; Genetic Markers - genetics; Genetic Predisposition to Disease - genetics; Humans; Image Interpretation, Computer-Assisted - methods; Isocitrate Dehydrogenase - genetics; Male; Middle Aged; Mutation - genetics; Polymorphism, Single Nucleotide - genetics; Prognosis; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity
• ISSN: 0195-6108; 1936-959X
• DOI: 10.3174/ajnr.a3803

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. The DTI data of 112 patients with pathologically proven astroglioma (including 25, 12, and 10 cases with IDH1 mutation and 11, 11, and 43 cases without mutation in grades II, III, and IV, respectively) were retrospectively reviewed. The maximal fractional anisotropy, minimal ADC, ratio of maximal fractional anisotropy, and ratio of minimal ADC in the tumor body were measured. In the same World Health Organization grading, the imaging parameters of patients with and without IDH1 R132H mutation were compared by means of optimal metrics for detecting mutations. Receiver operating characteristic curve analysis was performed. The maximal fractional anisotropy and ratio of maximal fractional anisotropy values had statistical significance between patients with IDH1 R132H mutation and those without mutation in astrogliomas of grades II and III. The areas under the curve for maximal fractional anisotropy and ratio of maximal fractional anisotropy were both 0.92 in grade II and 0.80 and 0.82 in grade III. The minimal ADC value and ratio of minimal ADC value also demonstrated statistical significance between patients with mutation and those without mutation in all astroglioma grades. The areas under the curve for minimal ADC were 0.94 (II), 0.76 (III), and 0.66 (IV), and the areas under the curve for ratio of minimal ADC were 0.93 (II), 0.83 (III), and 0.70 (IV). Fractional anisotropy and ADC from DTI can noninvasively detect IDH1 R132H mutation in astrogliomas.