ArticleJournal of orthopaedic translation2023
Scoliosis assessment tools to reduce follow-up X-rays.
Article in Journal of orthopaedic translation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring radiation-free scoliosis monitoring: systematic review and meta-analysis of non-ionizing methods.BMC musculoskeletal disorders · 2025Pooled it
- LBX1 alters polyamine pathway in adolescent idiopathic scoliosis - a new therapeutic target to mitigate curve progression.Journal of orthopaedic translation · 2026Article
- A new 3D full-body scanner analyzing the sagittal and coronal balance of the adult spine: a preliminary prospective observational study.Acta neurochirurgica · 2025Observational
- Intelligent Evaluation Method for Scoliosis at Home Using Back Photos Captured by Mobile Phones.Bioengineering (Basel, Switzerland) · 2024Article
- Measurement of distances and locations of thoracic and lumbar vertebral bodies from CT scans in cases of spinal deformation.BMC medical imaging · 2024Article
- 2023 January issue Journal of Orthopaedic Translation.Journal of orthopaedic translation · 2023Article
- A non-invasive method for scoliosis assessment-A new mathematical concept using polar angle.PloS one · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Clinical examinations of scoliosis often includes X-rays. Regular clinical monitoring is recommended in particular at young age, because of the high risk of progression during periods of rapid growth. Supplementary methods free of ionizing radiation thus could help to reduce the potential risk of ionizing radiation related health problems. Methods: Twelve 3D scan images from female and male patients with different types and severities of spinal deformations were analysed using body scanner image analysis tools. The scan images were captured with a 3D body scanner, which used an infrared sensor and a video camera. To calculate and compare with the patient's specific spinal deformations, simulations based on finite elements methods were performed on biomechanical models of ribcage and spinal column. Results: The methods and parameters presented here are in good agreement with corresponding X-rays, used for comparison. High correlation coefficients of ‖ Conclusion: The user-friendly 3D body scanner image analysis tools enable orthopaedic specialists to simulate, visualize and inspect patient's specific spinal deformations. The method is intended to provide supplementary information in complement to the Cobb angle for the assessment of spinal deformations in clinical daily routine and might have the potential to reduce X-rays in follow-up examinations. The Translational Potential of this article: The study presents a new method, based on 3D body scanner images and biomechanical modelling, that has the potential to reduce X-rays when monitoring scoliosis especially in young patients.
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