ReviewSensors (Basel, Switzerland)2022
A Review of the Methods on Cobb Angle Measurements for Spinal Curvature.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed.
- Therapeutic potential of Golta therapy via radiographic and thermographic evaluation in improving scoliosis: A case report.Medicine · 2026Article
- Evaluation of Curve Flexibility Using Scoliotic Spines Generated From a Generic Spine Model.International journal for numerical methods in biomedical engineering · 2026Article
- Integrating basic body awareness therapy with scoliosis-specific exercise for trunk proprioception in adolescent idiopathic scoliosis: a randomized controlled trial.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 · 2026Article
- Impact of L4 tilt and coronal lumbopelvic alignment on in-brace correction in AIS.Spine deformity · 2026Article
- Koala Kyphoscoliosis: Radiographic and CT Features of Abnormal Vertebral Column Curvature in Koalas (Animals : an open access journal from MDPI · 2026Article
- The application of a functional-anatomical model in pulmonary risk assessment for adolescent idiopathic scoliosis.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 · 2026Article
- Vertebra-Level Completeness Analysis in Thoracolumbar Ultrasound Using a YOLO-Based Detection Framework.Sensors (Basel, Switzerland) · 2026Article
- Characterizing spinal curves: addressing variability beyond identical cobb angles.Musculoskeletal surgery · 2026Article
- Development and validation of a deep learning-powered system for multi-version global alignment and proportion score to predict mechanical complications after adult degenerative scoliosis surgery.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 · 2026Article
- Case Report: Multi-sensory integration treatment for preschool children with intermittent exotropia and idiopathic scoliosis comorbidity.Frontiers in medicine · 2026Article
- Development and internal validation of a nomogram for predicting short-term functional improvement after pharmacological treatment in severe symptomatic lumbar disk herniation.Frontiers in medicine · 2026Article
- Article
- Effective treatment of adolescent idiopathic scoliosis with the PosturalSpineEuropean journal of translational myology · 2025Article
- A fully automatic Cobb angle measurement framework of full-spine DR images based on deep learning.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 · 2025Article
- Article
- AI and machine learning in paediatric spine deformity surgery.Bone & joint open · 2025Article
- Relationship between leg length discrepancy and functional scoliosis in children and adolescents.BMC musculoskeletal disorders · 2025Article
- Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN.Diagnostics (Basel, Switzerland) · 2025Article
- New horizons for adolescent idiopathic scoliosis treatment through PosturalSpineEuropean journal of translational myology · 2025Article
- UltrasoundEuropean journal of translational myology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Scoliosis is a common disease of the spine and requires regular monitoring due to its progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which is currently measured either manually by the relevant medical staff or semi-automatically, aided by a computer. These methods are not only labor-intensive but also vary in precision by the inter-observer and intra-observer. Therefore, a reliable and convenient method is urgently needed. With the development of computer vision and deep learning, it is possible to automatically calculate the Cobb angles by processing X-ray or CT/MR/US images. In this paper, the research progress of Cobb angle measurement in recent years is reviewed from the perspectives of computer vision and deep learning. By comparing the measurement effects of typical methods, their advantages and disadvantages are analyzed. Finally, the key issues and their development trends are also discussed.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.