Smartphone-based surface topography app accurately detects clinically significant scoliosis
The Scoliosis Assessment App using ST technology offers an accurate, accessible, and non-ionizing method of detecting clinically significant scoliosis, suggesting that the App can be used for detection and monitoring as an alternative to radiography and as a replacement for scoliometer without diminishing the standard of care. Further studies are required to assess variations of sensitivity in a large cohort of patients and clinical utility as an alternative to radiographs.
Authors
- Matthew Rohde (ORCID: https://orcid.org/0000-0003-0511-1183)
- Kali Tileston (ORCID: https://orcid.org/0000-0002-7553-5259)
- Jacob Ribet
- John S. Vorhies (ORCID: https://orcid.org/0000-0002-2526-4489)
- Anthony A. Catanzano (ORCID: https://orcid.org/0000-0001-7418-9561)
- Marleni Albarran
- Amishi Jobanputra
- E. S. Sachs
- Hiba Naz
Institutions
- Duke University (US)
- Stanford University (US)
Publication Details
- Journal
- Spine Deformity
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1007/s43390-025-01062-7
- Citations
- 7
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 14.04