Publication: External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine
External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine
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Grob, A., Loibl, M., Jamaludin, A., Winklhofer, S., Fairbank, J. C. T., Fekete, T., Porchet, F., & Mannion, A. F. (2022). External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine. European Spine Journal, 31(8), 2137–2148. https://doi.org/10.1007/s00586-022-07311-x
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BACKGROUND: Magnetic resonance imaging (MRI) is used to detect degenerative changes of the lumbar spine. SpineNet (SN), a computer vision-based system, performs an automated analysis of degenerative features in MRI scans aiming to provide high accuracy, consistency and objectivity. This study evaluated SN's ratings compared with those of an expert radiologist. METHOD: MRIs of 882 patients (mean age, 72 ± 8.8 years) with degenerative spinal disorders from two previous trials carried out in our spine center between 2011 and 2019, were a
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- Grob, Alexandra
- Loibl, Markus
- Jamaludin, Amir
- Winklhofer, Sebastian
- Fairbank, Jeremy C T
- Fekete, Tamás
- Porchet, François
- Mannion, Anne F
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Grob, A., Loibl, M., Jamaludin, A., Winklhofer, S., Fairbank, J. C. T., Fekete, T., Porchet, F., & Mannion, A. F. (2022). External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine. European Spine Journal, 31(8), 2137–2148. https://doi.org/10.1007/s00586-022-07311-x
