ArticleDiagnostics (Basel, Switzerland)2023
Reliability Analysis of Vertebral Landmark Labelling on Lumbar Spine X-ray Images.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Deep Learning-Assisted Lumbar Degeneration Evaluation Using Plain Radiographs: Development and Validation of a Novel Dual-Mechanism Architecture.Neurospine · 2026Article
- Repeatability and agreement of planar lumbar range of motion measured by dynamic fluoroscopy and optical motion capture in an ovine cadaveric model.Frontiers in bioengineering and biotechnology · 2026Article
- A Study on the Diagnosis of Lumbar Spinal Malposition in Chuna Manual Therapy Using X-Ray Images Based on Digital Markers.Diagnostics (Basel, Switzerland) · 2025Article
- Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images.Journal of imaging informatics in medicine · 2025Article
- Evaluation of Optimized Lumbar Oblique X-Ray Angles with Positioning Assistance for Enhanced Imaging Quality: A Pilot Study in an Asian Cohort.Journal of functional morphology and kinesiology · 2025Article
- Inadequate Annotation and Its Impact on Pelvic Tilt Measurement in Clinical Practice.Journal of clinical medicine · 2024Article
- Integrative Medicine in Diagnostics: Current Advances and Future Prospects.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
4 authors.
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Abstract
Vertebral landmark labelling on X-ray images is important for objective and quantitative diagnosis. Most studies related to the reliability of labelling focus on the Cobb angle, and it is difficult to find studies describing landmark point locations. Since points are the most fundamental geometric feature that can generate lines and angles, the assessment of landmark point locations is essential. The aim of this study is to provide a reliability analysis of landmark points and vertebral endplate lines with a large number of lumbar spine X-ray images. A total of 1000 pairs of anteroposterior and lateral view lumbar spine images were prepared, and 12 manual medicine experts participated in the labelling process as raters. A standard operating procedure (SOP) was proposed by consensus of the raters based on manual medicine and provided guidelines for reducing sources of error in landmark labelling. High intraclass correlation coefficients ranging from 0.934 to 0.991 verified the reliability of the labelling process using the proposed SOP. We also presented means and standard deviations of measurement errors, which could be a valuable reference for evaluating both automated landmark detection algorithms and manual labelling by experts.
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