Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI.
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| Title: | Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI. |
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| Authors: | van der Graaf JW; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands. jasper.vandergraaf@gmail.com.; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands. jasper.vandergraaf@gmail.com., van Hooff ML; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.; Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands., Huisman M; Department of Medical Imaging, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands., Rutten M; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands., Lamers D; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands., Lessmann N; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands., de Kleuver M; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands. |
| Source: | European radiology [Eur Radiol] 2024 Sep; Vol. 34 (9), pp. 5748-5757. Date of Electronic Publication: 2024 Feb 21. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38383922 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22van+der+Graaf+JW%22">van der Graaf JW</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands. jasper.vandergraaf@gmail.com.; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands. jasper.vandergraaf@gmail.com.<br /><searchLink fieldCode="AU" term="%22van+Hooff+ML%22">van Hooff ML</searchLink>; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.; Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Ginneken+B%22">van Ginneken B</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Huisman+M%22">Huisman M</searchLink>; Department of Medical Imaging, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Rutten+M%22">Rutten M</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Lamers+D%22">Lamers D</searchLink>; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Lessmann+N%22">Lessmann N</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Kleuver+M%22">de Kleuver M</searchLink>; Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2024 Sep; Vol. 34 (9), pp. 5748-5757. <i>Date of Electronic Publication: </i>2024 Feb 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38383922 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-024-10616-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5748 Titles: – TitleFull: Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: van der Graaf JW – PersonEntity: Name: NameFull: van Hooff ML – PersonEntity: Name: NameFull: van Ginneken B – PersonEntity: Name: NameFull: Huisman M – PersonEntity: Name: NameFull: Rutten M – PersonEntity: Name: NameFull: Lamers D – PersonEntity: Name: NameFull: Lessmann N – PersonEntity: Name: NameFull: de Kleuver M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2024 Sep Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 34 – Type: issue Value: 9 Titles: – TitleFull: European radiology Type: main |
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