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Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging
http://hdl.handle.net/10458/0002000109
http://hdl.handle.net/10458/0002000109c27d462d-4e9a-4536-961f-855c5e3ed6d7
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (1.4 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||
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| 公開日 | 2023-10-24 | |||||||
| タイトル | ||||||||
| タイトル | Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| キーワード | Glioblastoma | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| キーワード | Brain metastasis | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| キーワード | Diffusion-weighted imaging | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| キーワード | NODDI | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | journal article | |||||||
| 著者 |
門田, 善仁
× 門田, 善仁× Hirai, Toshinori× 東, 美菜子× Hattori, Yohei× ゾォー アウン, カイン× Hori, Masaaki
× Saito, Kiyotaka× 横上, 聖貴× 竹島, 秀雄 |
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Background and purpose Neurite orientation dispersion and density imaging (NODDI) is a new technique that applies a three-diffusion-compartment biophysical model. We assessed the usefulness of NODDI for the differentiation of glioblastoma from solitary brain metastasis. Methods NODDI data were prospectively obtained on a 3T magnetic resonance imaging (MRI) scanner from patients with previously untreated, histopathologically confirmed glioblastoma (n = 9) or solitary brain metastasis (n = 6). Using the NODDI Matlab Toolbox, we generated maps of the intra-cellular, extra-cellular, and isotropic volume (VIC, VEC, VISO) fraction. Apparent diffusion coefficient – and fraction anisotropy maps were created from the diffusion data. On each map we manually drew a region of interest around the peritumoral signal-change (PSC) – and the enhancing solid area of the lesion. Differences between glioblastoma and metastatic lesions were assessed and the area under the receiver operating characteristic curve (AUC) was determined. Results On VEC maps the mean value of the PSC area was significantly higher for glioblastoma than metastasis (P < 0.05); on VISO maps it tended to be higher for metastasis than glioblastoma. There was no significant difference on the other maps. Among the 5 parameters, the VEC fraction in the PSC area showed the highest diagnostic performance. The VEC threshold value of ≥ 0.48 yielded 100% sensitivity, 83.3% specificity, and an AUC of 0.87 for differentiating between the two tumor types. Conclusions NODDI compartment maps of the PSC area may help to differentiate between glioblastoma and solitary brain metastasis. |
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| 言語 | en | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Yoshihito Kadota, Toshinori Hirai, Minako Azuma, Yohei Hattori, Zaw Aung Khant, Masaaki Hori, Kiyotaka Saito, Kiyotaka Yokogami, Hideo Takeshima, Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging, Journal of Neuroradiology, Volume 47, Issue 3, 2020, Pages 197-202, ISSN 0150-9861, https://doi.org/10.1016/j.neurad.2018.10.005. |
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| 言語 | en | |||||||
| 書誌情報 |
en : Journal of Neuroradiology 巻 47, 号 3, p. 197-202, 発行日 2020 |
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| 出版者 | ||||||||
| 出版者 | Elsevier | |||||||
| 言語 | en | |||||||
| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 01509861 | |||||||
| DOI | ||||||||
| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1016/j.neurad.2018.10.005 | |||||||
| 権利 | ||||||||
| 言語 | en | |||||||
| 権利情報 | © 2018 The Authors. Published by Elsevier Masson SAS. | |||||||
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| 出版タイプ | VoR | |||||||
