Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity.
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| Title: | Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity. |
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| Authors: | Kuwabara M; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Ikawa F; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan. fikawa-nsu@umin.ac.jp.; Department of Neurosurgery, Shimane Prefectural Central Hospital, 4-1-1 Himebara, Izumo, Shimane, 693- 8555, Japan. fikawa-nsu@umin.ac.jp., Nakazawa S; LPIXEL Inc, 1-6-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan., Koshino S; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan., Ishii D; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Kondo H; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Hara T; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Matsuda S; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Maeda Y; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan., Maeyama S; LPIXEL Inc, 1-6-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan., Seo Y; Department of Neurosurgery, Nakamura Memorial Hospital, South-1, West-14, Chuo-ku, Sapporo, 060-8570, Hokkaido, Japan., Sasanuma J; Department of Neurosurgery, Shin-yurigaoka General Hospital, 255, Furusawa-Miyako, Kawasaki Asao-ku, Kanagawa, 215-0026, Japan., Kondo K; Department of Neurology, Hokuto Hospital, 7-5 Kisen, Inada-cho, Obihiro, 080- 0833, Hokkaido, Japan., Horie N; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 17; Vol. 15 (1), pp. 40186. Date of Electronic Publication: 2025 Nov 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41249229 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kuwabara+M%22">Kuwabara M</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Ikawa+F%22">Ikawa F</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan. fikawa-nsu@umin.ac.jp.; Department of Neurosurgery, Shimane Prefectural Central Hospital, 4-1-1 Himebara, Izumo, Shimane, 693- 8555, Japan. fikawa-nsu@umin.ac.jp.<br /><searchLink fieldCode="AU" term="%22Nakazawa+S%22">Nakazawa S</searchLink>; LPIXEL Inc, 1-6-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.<br /><searchLink fieldCode="AU" term="%22Koshino+S%22">Koshino S</searchLink>; Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Ishii+D%22">Ishii D</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Kondo+H%22">Kondo H</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Hara+T%22">Hara T</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Matsuda+S%22">Matsuda S</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Maeda+Y%22">Maeda Y</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan.<br /><searchLink fieldCode="AU" term="%22Maeyama+S%22">Maeyama S</searchLink>; LPIXEL Inc, 1-6-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.<br /><searchLink fieldCode="AU" term="%22Seo+Y%22">Seo Y</searchLink>; Department of Neurosurgery, Nakamura Memorial Hospital, South-1, West-14, Chuo-ku, Sapporo, 060-8570, Hokkaido, Japan.<br /><searchLink fieldCode="AU" term="%22Sasanuma+J%22">Sasanuma J</searchLink>; Department of Neurosurgery, Shin-yurigaoka General Hospital, 255, Furusawa-Miyako, Kawasaki Asao-ku, Kanagawa, 215-0026, Japan.<br /><searchLink fieldCode="AU" term="%22Kondo+K%22">Kondo K</searchLink>; Department of Neurology, Hokuto Hospital, 7-5 Kisen, Inada-cho, Obihiro, 080- 0833, Hokkaido, Japan.<br /><searchLink fieldCode="AU" term="%22Horie+N%22">Horie N</searchLink>; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Hiroshima, 734-8551, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Nov 17; Vol. 15 (1), pp. 40186. <i>Date of Electronic Publication: </i>2025 Nov 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41249229 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-23859-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 40186 Titles: – TitleFull: Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kuwabara M – PersonEntity: Name: NameFull: Ikawa F – PersonEntity: Name: NameFull: Nakazawa S – PersonEntity: Name: NameFull: Koshino S – PersonEntity: Name: NameFull: Ishii D – PersonEntity: Name: NameFull: Kondo H – PersonEntity: Name: NameFull: Hara T – PersonEntity: Name: NameFull: Matsuda S – PersonEntity: Name: NameFull: Maeda Y – PersonEntity: Name: NameFull: Maeyama S – PersonEntity: Name: NameFull: Seo Y – PersonEntity: Name: NameFull: Sasanuma J – PersonEntity: Name: NameFull: Kondo K – PersonEntity: Name: NameFull: Horie N IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 11 Text: 2025 Nov 17 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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