Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity.

Saved in:
Bibliographic Details
Title: Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41249229
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1