Gamma distribution model of diffusion MRI for evaluating the isocitrate dehydrogenase mutation status of glioblastomas

Hanae Takase, Osamu Togao, Kazufumi Kikuchi, Nobuhiro Hata, Ryusuke Hatae, Toru Chikui, Kenji Tokumori, Yukiko Kami, Daisuke Kuga, Yuhei Sangatsuda, Masahiro Mizoguchi, Akio Hiwatashi, Kousei Ishigami

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To determine whether the γ distribution (GD) model of diffusion MRI is useful in the evaluation of the isocitrate dehydrogenase (IDH) mutation status of glioblastomas. Methods: 12 patients with IDH-mutant glioblastomas and 54 patients with IDH-wildtype glioblastomas were imaged with diffusion-weighted imaging using 13 b-values from 0 to 1000 s/mm2. The shape parameter (κ) and scale parameter (θ) were obtained with the GD model. Fractions of three different areas under the probability density function curve (f1, f2, f3) were defined as follows: f1, diffusion coefficient (D) < 1.0×10−3 mm2/s; f2, D > 1.0×10−3 and <3.0×10−3 mm2/s; f3, D > 3.0 × 10−3 mm2/s. The GD model-derived parameters measured in gadolinium-enhancing lesions were compared between the IDH-mutant and IDH-wildtype groups. Receiver operating curve analyses were performed to assess the parameters' diagnostic performances. Results: The IDH-mutant group’s f1 (0.474 ± 0.143) was significantly larger than the IDH-wildtype group’s (0.347 ± 0.122, p = 0.0024). The IDH-mutant group’s f2 (0.417 ± 0.131) was significantly smaller than the IDH-wildtype group’s (0.504 ± 0.126, p = 0.036). The IDH-mutant group’s f3 (0.109 ± 0.060) was significantly smaller than the IDH-wildtype group’s (0.149 ± 0.063, p = 0.0466). The f1 showed the best diagnostic performance among the GD model-derived parameters with the area under the curve value of 0.753. Conclusion: The GD model could well describe the pathological features of IDH-mutant and IDH-wildtype glioblastomas, and was useful in the differentiation of these tumors. Advances in knowledge: Diffusion MRI based on the γ distribution model could well describe the pathological features of IDH-mutant and IDH-wildtype glioblastomas, and its use enabled the significant differentiation of these tumors. The γ distribution model may contribute to the non-invasive identification of the IDH mutation status based on histological viewpoint.

Original languageEnglish
Article number20210392
JournalBritish Journal of Radiology
Volume95
Issue number1133
DOIs
Publication statusPublished - May 1 2022

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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