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Is there a skeletal age index that can predict accurate curve progression in adolescent idiopathic scoliosis? A systematic review.

Marco ManzettiAlberto RuffilliFrancesca BarileGiovanni ViroliMatteo TraversariFabio VitaTosca CerasoliAlberto ArceriElena ArtioliAntonio MazzottiCesare Faldini
Published in: Pediatric radiology (2023)
Skeletal maturity quantification for adolescent idiopathic scoliosis has the potential to significantly modify disease management. However, idiopathic scoliosis is a complex and multifactorial disease: therefore, it is unlikely that a single index will ever be sufficient to predict its evolution. Therefore, as more adolescent idiopathic scoliosis progression-associated indexes are identified, a collective scientific effort should be made to develop a therapeutic strategy based on reliable and reproducible algorithms.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • mass spectrometry
  • risk assessment
  • climate change