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

Author:

Takase Hanae1,Togao Osamu2ORCID,Kikuchi Kazufumi1,Hata Nobuhiro3,Hatae Ryusuke3,Chikui Toru4,Tokumori Kenji5,Kami Yukiko4,Kuga Daisuke3,Sangatsuda Yuhei3,Mizoguchi Masahiro3,Hiwatashi Akio1,Ishigami Kousei1

Affiliation:

1. Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

2. Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

3. Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

4. Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan

5. Department of Clinical Radiology, Faculty of Medical Technology, Teikyo University, Fukuoka, Japan

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.

Publisher

British Institute of Radiology

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

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