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AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images.

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Title: AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images.
Authors: van der Graaf JW; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands. jasper.vandergraaf@radboudumc.nl.; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands. jasper.vandergraaf@radboudumc.nl., Brundel L; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands., van Hooff ML; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands., de Kleuver M; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands., Lessmann N; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands., Maresch BJ; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands., Vestering MM; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands., Spermon J; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands., Rutten MJCM; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
Source: European radiology [Eur Radiol] 2025 Apr; Vol. 35 (4), pp. 2298-2306. Date of Electronic Publication: 2024 Sep 20.
Publication Type: Journal Article; Comparative 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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  Data: AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images.
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  Data: <searchLink fieldCode="AU" term="%22van+der+Graaf+JW%22">van der Graaf JW</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands. jasper.vandergraaf@radboudumc.nl.; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands. jasper.vandergraaf@radboudumc.nl.<br /><searchLink fieldCode="AU" term="%22Brundel+L%22">Brundel L</searchLink>; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Hooff+ML%22">van Hooff ML</searchLink>; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Kleuver+M%22">de Kleuver M</searchLink>; Department of Orthopedics, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Lessmann+N%22">Lessmann N</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Maresch+BJ%22">Maresch BJ</searchLink>; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Vestering+MM%22">Vestering MM</searchLink>; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Spermon+J%22">Spermon J</searchLink>; Department of Radiology, Hospital Gelderse Vallei, Ede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Ginneken+B%22">van Ginneken B</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Rutten+MJCM%22">Rutten MJCM</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Apr; Vol. 35 (4), pp. 2298-2306. <i>Date of Electronic Publication: </i>2024 Sep 20.
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  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
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              Text: 2025 Apr
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