Dataset Information

Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.

ABSTRACT:

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 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.

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.

SUBMITTER: Christensson A

PROVIDER: S-EPMC10824248 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Publications

Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.

Christensson Albin A Nemati Hassan M HM Flivik Gunnar G

Acta orthopaedica 20240129

<h4>Background and purpose</h4>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).<h4>Patients and methods</h4>30 patients with THA ...[more]

PMID: 38284788

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Dataset Information

Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.

Background and purpose

Patients and methods

Results

Conclusion

Publications

Comparison between model-based RSA and an AI-based CT-RSA: an accuracy study of 30 patients.

Similar Datasets

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