Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.
Background and purpose -- Radiostereometry (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...
| Published in: | Acta Orthopaedica Vol. 95; pp. 39 - 47 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Medical Journals Sweden AB
2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183125062&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183125062 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17453674 1BVL jtl: Acta Orthopaedica issn: 17453674 maglogo: N pubinfo: dt: 2024 vid: 95 pid: 59195 pub: Medical Journals Sweden AB artinfo: ui: 183125062 183125062 183125062 10.2340/17453674.2024.35749 183125062 ppf: 39 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients. aug: au: CHRISTENSSON, Albin NEMATI, Hassan M. FLIVIK, Gunnar affil: Department of Orthopedics, Skåne University Hospital, Clinical Sciences, Lund University, Lund sug: subj: Arthroplasty, Replacement, Hip Foreign-Body Migration Radiography Artificial Intelligence Tomography, X-Ray Computed Radiostereometric Analysis Methods Human Funding Source Male Female Middle Age Aged Surgical Patients Osteoarthritis, Hip Surgery Descriptive Statistics Confidence Intervals Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background and purpose -- Radiostereometry (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 methods -- 30 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. Results -- Stem 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 AIbased 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 intraor interobserver variability. Conclusion -- We 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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