Quantitative parameter mapping of contrast agent concentration and relaxivity and brain tumor extracellular pH

• 資料種別: 博士論文
• タイトル: Quantitative parameter mapping of contrast agent concentration and relaxivity and brain tumor extracellular pH
• 著者・編者: Matsumoto, Yuki; Harada, Masafumi; Kanazawa, Yuki; Taniguchi, Yo; Ono, Masaharu; Bito, Yoshitaka
• 著者標目: Matsumoto, Yuki; Harada, Masafumi; Kanazawa, Yuki; Taniguchi, Yo; Ono, Masaharu; Bito, Yoshitaka
• 出版事項: Springer Nature
• 出版年月日等: 2022-02-09
• 出版年（W3CDTF）: 2022-02-09
• 並列タイトル等: 造影剤濃度と緩和能の定量的パラメータマッピングと脳腫瘍細胞外pH
• タイトル（掲載誌）: Scientific Reports
• 巻号年月日等（掲載誌）: 12
• 掲載巻: 12
• 掲載ページ: 2171-
• ISSN（掲載誌）: ISSN : 2045-2322
• 授与機関名: 徳島大学
• 授与年月日: 2022-03-23
• 報告番号: 甲第3599号
• 学位: 博士（医学）
• 本文の言語コード: eng
• 件名標目: MRI; QPM; pHe; pH; 細胞外pH
• 対象利用者: 一般
• 一般注記: In clinical magnetic resonance imaging, gadolinium-based contrast agents are commonly used for detecting brain tumors and evaluating the extent of malignancy. We present a new method to evaluate relaxivity (r1) and contrast agent concentration separately in contrast-enhanced lesions using quantitative parameter mapping (QPM). Furthermore, we also aimed to estimate the extracellular pH (pHe) of tumor lesions. We demonstrated that it is possible to evaluate pathophysiological tumor changes due to therapeutic efficacy by measuring r1 in contrast-enhanced lesions. In this study, the primary brain tumor group showed significantly higher r1 values than other brain disease groups (P < 0.001). Moreover, mean pHe value showed a trend for tumor malignancy having a lower pHe value and primary brain tumor having a significantly lower pHe than other brain diseases (P < 0.001). Our results might suggest that QPM can separately quantify r1 and CA concentration in brain tumors and that pHe brain tumor mapping could serve as a tumor biomarker. In conclusion, our method has potential clinical applications for assessing the treatment effects.
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: インターネット公開
• 著作権情報: Tis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
• 関連情報（DOI）: 10.1038/s41598-022-05711-z
• 連携機関・データベース: 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• 提供元機関・データベース: 徳島大学 : 徳島大学機関リポジトリ

目次

http://repo.lib.tokushima-u.ac.jp/files/public/11/116994/20220509154938679761/k3599_abstract.pdf fulltext

http://repo.lib.tokushima-u.ac.jp/files/public/11/116994/2022050915493916803/k3599_review.pdf fulltext

http://repo.lib.tokushima-u.ac.jp/files/public/11/116994/20220509154939314264/k3599_fulltext.pdf fulltext