Evidence map›Paper›PMID 38819937›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2025

Non-invasive quantitative assessment of induced component displacement can safely and accurately diagnose tibial component loosening in patients: A prospective diagnostic study.

George S Buijs, Arthur J Kievit, Maaike A Ter Wee, Caroline Magg, Johannes G G Dobbe, Geert J Streekstra, Matthias U Schafroth, Leendert Blankevoort

Registry-linked trialAbstract read
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06839807 (Adequately Diagnosing Total Knee Arthroplasty Loosening), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.

NCT06839807 narecruitingnot on this map

Adequately Diagnosing Total Knee Arthroplasty Loosening: A Randomized Controlled Trial Evaluating the AtMoves Knee System in a Routine Clinical Setting

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2025 to 2026Enrolled124ConditionsAseptic Loosening, Aseptic Loosening of Prosthetic Joint, Aseptic Loosening of Orthopaedic Hardware, Knee Arthroplasty, TotalArmsAtMoves Knee System
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Automation in tibial implant loosening detection using deep-learning segmentation.International journal of computer assisted radiology and surgery · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

George S BuijsDepartment of Orthopedic Surgery and Sport Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3550-3380
Arthur J KievitDepartment of Orthopedic Surgery and Sport Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
Maaike A Ter WeeDepartment of Orthopedic Surgery and Sport Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
Caroline MaggDepartment of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Johannes G G DobbeAmsterdam Movement Sciences, Musculoskeletal Health, Meibergdreef 9, Amsterdam, The Netherlands.
Geert J StreekstraAmsterdam Movement Sciences, Musculoskeletal Health, Meibergdreef 9, Amsterdam, The Netherlands.
Matthias U SchafrothDepartment of Orthopedic Surgery and Sport Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
Leendert BlankevoortDepartment of Orthopedic Surgery and Sport Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.

Funding

Amsterdam University Medical Center
6 · The paper itself

Abstract

purposeAseptic loosening often requires major, expensive and invasive revision surgery. Current diagnostic modalities merely show indirect signs of loosening. A recent proof of concept study proposed a non-invasive technique for the quantitative and visual assessment of implant movement as a diagnostic aid for tibial component loosening. The primary research question addressed is whether this novel diagnostic modality can safely and effectively aid the diagnosis of aseptic loosening.

methodsThis clinical study included patients suspected of aseptic total knee arthroplasty (TKA) loosening listed for revision surgery and asymptomatic patients. Safety was evaluated using a numerical rating scale (NRS) for discomfort and by registration of adverse events. Feasibility was assessed by recording the duration and ease of the procedure. Intra- and interrater reliability were evaluated. In symptomatic patients, diagnostic accuracy metrics were evaluated with intra-operative assessment as a reference test.

resultsIn total, 34 symptomatic and 38 asymptomatic knees with a TKA were analysed. The median NRS for discomfort during loading was 6 (interquartile range [IQR]: 3.75-7.00) in symptomatic patients and 2 (IQR: 1.00-3.00) in asymptomatic patients. No adverse events were reported. The majority of users found the use of the loading device easy. The median time spent in the computed tomography room was 9 min (IQR: 8.00-11.00). Excellent to good intra- and interrater reliabilities were achieved. Diagnostic accuracy analysis resulted in a sensitivity of 0.91 (95% confidence interval [CI]: 0.72-0.97) and a specificity of 0.72 (95% CI: 0.43-0.90).

conclusionsThe proposed diagnostic method is safe, feasible, reliable and accurate in aiding the diagnosis of aseptic tibial component loosening. LEVEL OF EVIDENCE: Level II.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisProsthesis FailureTibiaAgedFeasibility StudiesFemaleHumansMaleMiddle AgedProspective StudiesReoperationReproducibility of Resultsaseptic looseningcomputed tomographydiagnostic testimagingknee arthroplasty

Identifiers

PMID38819937
PMCPMC11716334

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Registered trials

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.