ArticleActa orthopaedica2024
Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.
Article in Acta orthopaedica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The accuracy and precision of CT-RSA in arthroplasty: a systematic review and meta-analysis.Acta orthopaedica · 2025Pooled it
- Precision of an automated surface-based CT-RSA (asCTRSA) for assessing tibial implant migration: a porcine cadaver study and a clinical case.Acta orthopaedica · 2026Article
- Synthetic Implant Migration Generation for Accuracy and Precision Evaluation of AI-Based CT-RSA in Total Hip Arthroplasty.Diagnostics (Basel, Switzerland) · 2026Article
- Inducible displacement CT for implant loosening detection: a scoping review on methods, validation, and challenges.Acta orthopaedica · 2026Article
- Precision, Accuracy, and Observer Reliability of Computed Tomography-Based Radiostereometric Analysis in Measuring Femoral Stem Migration In Vitro.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Evaluation of migration analysis with AI-based CT-RSA and preoperative 3D-planning in total hip arthroplasty.Acta orthopaedica · 2025Article
- Radiostereometric analysis for evaluating inducible fracture micromotion: a scoping review.Acta orthopaedica · 2025Article
- Inducible displacement of cementless total knee arthroplasty components with conventional and weight-bearing CT-based radiostereometric analysis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Accuracy and precision of Volumetric Matching Micromotion Analysis (V3MA) is similar to RSA for tibial component migration in TKA.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Article
- Guideline for RSA and CT-RSA implant migration measurements: an update of standardizations and recommendations.Acta orthopaedica · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeRadiostereometry (RSA) is the current gold standard for evaluating early implant migration. CT-based migration analysis is a promising method, with fewer handling requirements compared with RSA and no need for implanted bone-markers. We aimed to evaluate agreement between a new artificial intelligence (AI)-based CT-RSA and model-based RSA (MBRSA) in measuring migration of cup and stem in total hip arthroplasty (THA). PATIENTS AND
methods30 patients with THA for primary osteoarthritis (OA) were included. RSA examinations were performed on the first postoperative day, and at 2 weeks, 3 months, 1, 2, and 5 years after surgery. A low-dose CT scan was done at 2 weeks and 5 years. The agreement between the migration results obtained from MBRSA and AI-based CT-RSA was assessed using Bland-Altman plots.
resultsStem migration (y-translation) between 2 weeks and 5 years, for the primary outcome measure, was -0.18 (95% confidence interval [CI] -0.31 to -0.05) mm with MBRSA and -0.36 (CI -0.53 to -0.19) mm with AI-based CT-RSA. Corresponding proximal migration of the cup (y-translation) was 0.06 (CI 0.02-0.09) mm and 0.02 (CI -0.01 to 0.05) mm, respectively. The mean difference for all stem and cup comparisons was within the range of MBRSA precision. The AI-based CT-RSA showed no intra- or interobserver variability.
conclusionWe found good agreement between the AI-based CT-RSA and MBRSA in measuring postoperative implant migration. AI-based CT-RSA ensures user independence and delivers consistent results.
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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.