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A systematic review of validated classification systems for cervical and lumbar spinal foraminal stenosis based on magnetic resonance imaging.

John HutchinsHanna HebelkaKerstin LagerstrandHelena Brisby
Published in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2022)
The three classification systems demonstrated moderate to good reliability and have all been shown feasible in the clinical setting. There is however a need for further studies testing the validity of these classifications in relation to both clinical findings and to surgical outcome data.
Keyphrases
  • magnetic resonance imaging
  • machine learning
  • deep learning
  • computed tomography
  • electronic health record
  • big data
  • high intensity
  • magnetic resonance
  • diffusion weighted imaging