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  1. 医学科
  2. 放射線医学講座
  3. 学術雑誌掲載論文等(放射線医学講座)
  1. 医学科
  2. 脳神経外科学講座
  3. 学術雑誌掲載論文等(脳神経外科学講座)

Aging-related volume changes in the brain and cerebrospinal fluid using artificial intelligence-automated segmentation

http://hdl.handle.net/10422/00013564
http://hdl.handle.net/10422/00013564
32560775-64bd-4a59-b4cc-2f654517da60
名前 / ファイル ライセンス アクション
s00330-023-09632-x.pdf s00330-023-09632-x (4.0 MB)
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/.
Item type 学術雑誌論文 / Journal Article(1)
公開日 2023-05-24
タイトル
タイトル Aging-related volume changes in the brain and cerebrospinal fluid using artificial intelligence-automated segmentation
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 Aging
キーワード
言語 en
主題Scheme Other
主題 Artificial intelligence
キーワード
言語 en
主題Scheme Other
主題 Cerebrospinal fluid
キーワード
言語 en
主題Scheme Other
主題 Cerebral ventricle
キーワード
言語 en
主題Scheme Other
主題 Subarachnoid space
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 YAMADA, Shigeki

× YAMADA, Shigeki

WEKO 7647
ORCID 0000-0001-7158-5569

YAMADA, Shigeki

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OTANI, Tomohiro

× OTANI, Tomohiro

WEKO 9102

OTANI, Tomohiro

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II, Satoshi

× II, Satoshi

WEKO 9378
e-Rad 50513016

II, Satoshi

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KAWANO, Hiroto

× KAWANO, Hiroto

WEKO 7653
e-Rad 90894056

KAWANO, Hiroto

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NOZAKI, Kazuhiko

× NOZAKI, Kazuhiko

WEKO 7651
e-Rad 90252452
ORCID 0000-0003-1623-068X

NOZAKI, Kazuhiko

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WADA, Shigeo

× WADA, Shigeo

WEKO 9103

WADA, Shigeo

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OSHIMA, Marie

× OSHIMA, Marie

WEKO 7929
ORCID 0000-0001-6227-9818

OSHIMA, Marie

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WATANABE, Yoshiyuki

× WATANABE, Yoshiyuki

WEKO 7911
e-Rad 20362733
ORCID 0000-0003-3906-3730

WATANABE, Yoshiyuki

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著者別名 山田, 茂樹

× 山田, 茂樹

WEKO 7647
ORCID 0000-0001-7158-5569

山田, 茂樹

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河野, 浩人

× 河野, 浩人

WEKO 7653
e-Rad 90894056

河野, 浩人

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野﨑, 和彦

× 野﨑, 和彦

WEKO 7651
e-Rad 90252452
ORCID 0000-0003-1623-068X

野﨑, 和彦

Search repository
渡邉, 嘉之

× 渡邉, 嘉之

WEKO 7911
e-Rad 20362733
ORCID 0000-0003-3906-3730

渡邉, 嘉之

Search repository
抄録
内容記述タイプ Abstract
内容記述 Objectives:
To verify the reliability of the volumes automatically segmented using a new artificial intelligence (AI)-based application and evaluate changes in the brain and CSF volume with healthy aging.
抄録
内容記述タイプ Abstract
内容記述 Methods:
The intracranial spaces were automatically segmented in the 21 brain subregions and 5 CSF subregions using the AI-based application on the 3D T1-weighted images in healthy volunteers aged > 20 years. Additionally, the automatically segmented volumes of the total ventricles and subarachnoid spaces were compared with the manually segmented volumes of those extracted from 3D T2-weighted images using the intra-class correlation and Bland-Altman analysis.
抄録
内容記述タイプ Abstract
内容記述 Results:
In this study, 133 healthy volunteers aged 21-92 years were included. The mean intra-class correlations between the automatically and manually segmented volumes of the total ventricles and subarachnoid spaces were 0.986 and 0.882, respectively. The increase in the CSF volume was estimated to be approximately 30 mL (2%) per decade from 265 mL (18.7%) in the 20s to 488 mL (33.7%) in ages above 80 years; however, the increase in the volume of total ventricles was approximately 20 mL (< 2%) until the 60s and increased in ages above 60 years.
抄録
内容記述タイプ Abstract
内容記述 Conclusions:
This study confirmed the reliability of the CSF volumes using the AI-based auto-segmentation application. The intracranial CSF volume increased linearly because of the brain volume reduction with aging; however, the ventricular volume did not change until the age of 60 years and above and then gradually increased. This finding could help elucidate the pathogenesis of chronic hydrocephalus in adults.
抄録
内容記述タイプ Abstract
内容記述 Key points:
• The brain and CSF spaces were automatically segmented using an artificial intelligence-based application.
• The total subarachnoid spaces increased linearly with aging, whereas the total ventricle volume was around 20 mL (< 2%) until the 60s and increased in ages above 60 years.
• The cortical gray matter gradually decreases with aging, whereas the subcortical gray matter maintains its volume, and the cerebral white matter increases slightly until the 40s and begins to decrease from the 50s.
書誌情報 en : European Radiology

発行日 2023-04-15
出版者
出版者 Springer Nature
ISSN
収録物識別子タイプ ISSN
収録物識別子 0938-7994
PMID
関連タイプ isIdenticalTo
識別子タイプ PMID
関連識別子 37060450
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1007/s00330-023-09632-x
関連名称 10.1007/s00330-023-09632-x
権利
権利情報 © 2023. The Author(s).
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
資源タイプ
内容記述タイプ Other
内容記述 Journal Article
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