Evaluation of migration analysis with AI-based CT-RSA and preoperative 3D-planning in total hip arthroplasty.

Background and purpose — Computed tomography (CT) has become a valuable tool for preoperative planning and perioperative, real-time navigation during total hip arthroplasty (THA). CT can also quantify postoperative implant migration without the need for implanted bone markers, making it a promising...

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Published in:Acta Orthopaedica Vol. 96; pp. 885 - 893
Main Authors: CHRISTENSSON, Albin, NEMATI, Hassan M., YDSTRÖM, Kristina, FLIVIK, Gunnar
Format: research tables/charts Journal Article
Published: Medical Journals Sweden AB 2025
Online Access:View this record in EBSCOhost
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      dt: 2025
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      pub: Medical Journals Sweden AB
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        10.2340/17453674.2025.44948
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        atl: Evaluation of migration analysis with AI-based CT-RSA and preoperative 3D-planning in total hip arthroplasty.
      aug:
        au:
          CHRISTENSSON, Albin
          NEMATI, Hassan M.
          YDSTRÖM, Kristina
          FLIVIK, Gunnar
        affil: Department of Orthopedics, Skåne University Hospital, Clinical Sciences, Lund University, Lund.
      sug:
        subj:
          Arthroplasty, Replacement, Hip Methods
          Arthroplasty, Replacement, Hip Equipment and Supplies
          Radiostereometric Analysis Methods
          Tomography, X-Ray Computed Methods
          Artificial Intelligence Utilization
          Computer-Aided Design
          Arthroplasty, Replacement, Hip Adverse Effects
          Postoperative Period
          Human
          Male
          Female
          Middle Age
          Aged
          Comparative Studies
          Image Processing, Computer Assisted
          Prospective Studies
          Reproducibility of Results
          Prosthesis Failure
          Subtraction Technique
          Dose-Response Relationship, Radiation
          Convolutional Neural Networks
          Data Analysis Software
          Confidence Intervals
          Wilcoxon Rank Sum Test
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Background and purpose — Computed tomography (CT) has become a valuable tool for preoperative planning and perioperative, real-time navigation during total hip arthroplasty (THA). CT can also quantify postoperative implant migration without the need for implanted bone markers, making it a promising alternative to the current gold standard radiostereometric analysis (RSA). Our aim was to evaluate the accuracy of preoperative planning and postoperative implant migration of both cup and stem employing AIbased software using 3D CT-images (CT-RSA) compared with conventional RSA. Methods — 26 patients with primary THA were preoperatively 3D-planned and perioperatively navigated. They were followed and analyzed with AI-based CT-RSA within 2 days postoperatively and at 3, 12, and 24 months. 10 of the patients had implanted tantalum markers at surgery and were also followed up with conventional model-based RSA (MBRSA). The results were compared with CT-RSA. Prosthetic CAD models were used for both conventional RSA and AI-based CT-RSA analysis. Double CT and MBRSA scans were taken to evaluate precision. The preoperative plan was compared with actual perioperatively chosen implants. Results — AI-based CT-RSA showed consistent migration patterns, with most migration in the first 3 months, which then levelled out. Bland–Altman plots indicated good agreement between MBRSA and AI-based CT-RSA. Overall, there was high correspondence between MBRSA and AIbased CT-RSA in translations, but more divergent rotation results. AI-based CT-RSA precision was consistently slightly better than MBRSA precision. The agreement between planned and actual size of cup was 25 out of 26, and 23 out of 26 for stems. Conclusion — AI-based CT-RSA demonstrated accuracy comparable to MBRSA, with slightly improved precision and reduced user-dependence. The same system also provided an accurate and predictable preoperative implant plan.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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