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Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas
http://hdl.handle.net/10129/0002000948
http://hdl.handle.net/10129/00020009486f6a4000-d6b9-45e2-916b-2f229381e448
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内容要旨 (213 KB)
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審査要旨 (123 KB)
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本文 (794 KB)
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| アイテムタイプ | リポジトリ登録用アイテムタイプ（シンプル）(1) | |||||||
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| 公開日 | 2025-06-23 | |||||||
| タイトル | ||||||||
| タイトル | Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Pituitary adenoma | |||||||
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| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Magnetic resonance imaging | |||||||
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| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Three-dimensional | |||||||
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| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Fast spin echo sequence | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | Deeplearning- based reconstruction | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| 著者 |
石本, 優香
× 石本, 優香
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Purpose To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI. Methods We evaluated 24 patients with pituitary adenoma or residual tumor using CUBE with and without DLR, 1-mm slice thickness 2D T1WI (1-mm 2D T1WI) with DLR, and 3D spoiled gradient echo sequence (SPGR) as contrast-enhanced MRI. Depiction scores of pituitary adenoma and parasellar regions were assigned by two neuroradiologists, and contrast-to-noise ratio (CNR) was calculated. Results CUBE with DLR showed significantly higher scores for depicting pituitary adenoma or residual tumor compared to CUBE without DLR, 1-mm 2D T1WI with DLR, and SPGR (p < 0.01). The depiction score for delineation of the boundary between adenoma and the cavernous sinus was higher for CUBE with DLR than for 1-mm 2D T1WI with DLR (p = 0.01), but the difference was not significant when compared to SPGR (p = 0.20). CUBE with DLR had better interobserver agreement for evaluating adenomas than 1-mm 2D T1WI with DLR (Kappa values, 0.75 vs. 0.41). The CNR of the adenoma to the brain parenchyma increased to a ratio of 3.6 (obtained by dividing 13.7, CNR of CUBE with DLR, by 3.8, that without DLR, p < 0.01). CUBE with DLR had a significantly higher CNR than SPGR, but not 1-mm 2D T1WI with DLR. Conclusion On the contrast-enhanced MRI, compared to CUBE without DLR, 1-mm 2D T1WI with DLR and SPGR, CUBE with DLR improves the depiction of pituitary adenoma and parasellar regions. |
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| 言語 | en | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas Author(s): Yuka Ishimoto, Satoru Ide, Keita Watanabe, Kazuhiko Oyu, Sera Kasai, Yoshihito Umemura, Miho Sasaki, Haruka Nagaya, Soichiro Tatsuo, Atsushi Nozaki, Yoichiro Ikushima, Tetsuya Wakayama, Kenichiro Asano, Atsushi Saito, Masahiko Tomiyama & Shingo Kakeda Copyright © 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature |
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| 言語 | en | |||||||
| 書誌情報 |
en : Neuroradiology 巻 66, p. 937-945, 発行日 2024-02-19 |
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| DOI | ||||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1007/s00234-024-03315-0 | |||||||
| 権利情報 | ||||||||
| 権利情報 | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00234-024-03315-0 | |||||||
| 言語 | en | |||||||
| 出版タイプ | ||||||||
| 出版タイプ | NA | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 | |||||||
| 出版者 | ||||||||
| 出版者 | Springer Nature | |||||||
| 言語 | en | |||||||
| 学位名 | ||||||||
| 学位名 | 博士（医学） | |||||||
| 言語 | ja | |||||||
| 学位授与機関 | ||||||||
| 学位授与機関名 | 弘前大学 | |||||||
| 言語 | ja | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2025-03-24 | |||||||
| 学位授与番号 | ||||||||
| 学位授与番号 | 甲第2331号 | |||||||
