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. |
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| 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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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-024-11080-0 |
