Evidence map›Paper›PMID 42460634›Full record

ArticleActa orthopaedica2026

Precision of an automated surface-based CT-RSA (asCTRSA) for assessing tibial implant migration: a porcine cadaver study and a clinical case.

Manou Acke, Benyameen Keelson, Lars H W Engseth, Frank-David Øhrn, Gert Van Gompel, Stephan M Röhrl, Anselm Schulz, Johan De Mey, Nico Buls

Registry-linked trialAbstract readCase Reports
In one paragraph

Article in Acta orthopaedica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04017533 (In Vivo Stability of an Uncemented Total Knee Arthroplasty With Medially Stabilized Design), which is not on this map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04017533 nacompletednot on this map

In Vivo Stability of an Uncemented Total Knee Arthroplasty With Medially Stabilized Design

TypeinterventionalSponsorOslo University HospitalRan2021 to 2024Enrolled31ConditionsKnee OsteoarthritisArmsGMK Sphere TKR
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Manou AckeDepartment of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium. manou.amaryllis.acke@vub.be.ORCID 0000-0002-8714-1708
Benyameen KeelsonDepartment of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Lars H W EngsethFaculty of Medicine, University of Oslo (UiO), Oslo; Division for Orthopedic Surgery, Oslo University Hospital (OUH), Oslo, Norway.ORCID 0000-0001-8254-5765
Frank-David ØhrnNordmøre and Romsdal Hospital (SNR), Møre and Romsdal Hospital Trust, Hjelsetay, Norway; Department of Neuromedicine and Movement Science (INB), Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-7880-8101
Gert Van GompelDepartment of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Stephan M RöhrlFaculty of Medicine, University of Oslo (UiO), Oslo, Norway; Division for Orthopedic Surgery, Oslo University Hospital (OUH), Oslo, Norway.ORCID 0000-0001-5784-2055
Anselm SchulzFaculty of Medicine, University of Oslo (UiO), Oslo, Norway; Akershus University Hospital (Ahus), Department of Radiology, Lørenskog, Norway.ORCID 0000-0001-7406-5497
Johan De MeyDepartment of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Nico BulsDepartment of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRadiostereometric analysis (RSA) is the reference standard for migration analysis, but adoption is limited by invasive marker implantation and specialized equipment. We developed an automated, surface-based CT-RSA (asCTRSA) method that reports a registration quality measure (mean rigid-body fitting error, ME). Our aim was to evaluate the precision by comparing asCTRSA with marker-based RSA and CT-based Micromotion Analysis (CTMA, v25.1).

methodsPrecision was assessed in a retrospective, repeated-measures, zero-migration study using a porcine cadaver tibial implant scanned in 7 positions (21 double examinations). Migration was reported as maximum total point motion (MTPM) for RSA and asCTRSA. CTMA provided maximum total translation (mTT) as an estimate of MTPM. Mean rigid-body fitting error (ME) was calculated for RSA and asCTRSA (acceptability threshold 0.35 mm). The minimal important difference for MTPM/mTT was 0.1 mm. asCTRSA was applied to 1 clinical case with known migration 3 and 8 months postoperatively (NCT04017533).

resultsIn the porcine study, precision was 0.09 mm (95% confidence interval [CI] 0.02-0.18) for asCTRSA, 0.08 mm (CI 0.03-0.12) for CTMA, and 0.45 mm (CI 0.20-0.69) for RSA. In the clinical case, asCTRSA detected increasing migration (MTPM 2.5-3.6 mm) and exceeded CTMA's mTT by 0.4 mm at 8 months. Mean rigid-body fitting error remained below 0.35 mm.

conclusionWe showed that asCTRSA enables automated, surface-based CT-RSA and demonstrated higher precision than RSA in this zero-migration cadaver setting.

Indexed as

Foreign-Body MigrationProsthesis FailureRadiostereometric AnalysisTibiaTomography, X-Ray ComputedAnimalsCadaverFemaleHumansRetrospective StudiesSwine

Identifiers

PMID42460634
PMCPMC13377194

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