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Correlation of T1- to T2-weighted signal intensity ratio with T1- and T2-relaxation time and IDH mutation status in glioma

https://asahikawa-med.repo.nii.ac.jp/records/2000536
https://asahikawa-med.repo.nii.ac.jp/records/2000536
1aa623e9-72f4-42b6-b59b-1b6f8810409d
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36335158.pdf 36335158.pdf (2.1 MB)
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Item type 学術雑誌論文 / Journal Article_02(1)
公開日 2025-06-25
タイトル
タイトル Correlation of T1- to T2-weighted signal intensity ratio with T1- and T2-relaxation time and IDH mutation status in glioma
言語 en
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言語 eng
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資源タイプ journal article
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アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 Takahiro, Sanada

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Shota, Yamamoto

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Mio, Sakai

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Toru, Umehara

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Hirotaka, Sato

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Masato, Saito

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Nobuyuki, Mitsui

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Satoru, Hiroshima

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Ryogo, Anei

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Yonehiro, Kanemura

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Mishie, Tanino

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Katsuyuki Nakanishi

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Haruhiko, Kishima

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Manabu, Kinoshita

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bibliographic_information en : Scientific reports

巻 12, 号 1, p. 18801, 発行日 2022-11-05
ISSN
収録物識別子タイプ EISSN
収録物識別子 2045-2322
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1038/s41598-022-23527-9
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内容記述タイプ Other
内容記述 https://www.nature.com/articles/s41598-022-23527-9
言語 en
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識別子タイプ PMID
関連識別子 36335158
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内容記述タイプ Abstract
内容記述 The current study aimed to test whether the ratio of T1-weighted to T2-weighted signal intensity (T1W/T2W ratio: rT1/T2) derived from conventional MRI could act as a surrogate relaxation time predictive of IDH mutation status in histologically lower-grade gliomas. Strong exponential correlations were found between rT1/T2 and each of T1- and T2-relaxation times in eight subjects (rT1/T2 = 1.63exp-0.0005T1-relax + 0.30 and rT1/T2 = 1.27exp-0.0081T2-relax + 0.48; R2 = 0.64 and 0.59, respectively). In a test cohort of 25 patients, mean rT1/T2 (mrT1/T2) was significantly higher in IDHwt tumors than in IDHmt tumors (p < 0.05) and the optimal cut-off of mrT1/T2 for discriminating IDHmt was 0.666-0.677, (AUC = 0.75, p < 0.05), which was validated in an external domestic cohort of 29 patients (AUC = 0.75, p = 0.02). However, this result was not validated in an external international cohort derived from TCIA/TCGA (AUC = 0.63, p = 0.08). The t-Distributed Stochastic Neighbor Embedding analysis revealed a greater diversity in image characteristics within the TCIA/TCGA cohort than in the two domestic cohorts. The failure of external validation in the TCIA/TCGA cohort could be attributed to its wider variety of original imaging characteristics.
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注記
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注記 This 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. The 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/.
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© 2022. The Author(s).
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