Evidence map›Paper›PMID 29628681›Full record

ArticleJournal of clinical orthopaedics and trauma

Fallacies of CT based component size prediction in total knee arthroplasty - Are patient specific instruments the answer?

Raju Vaishya, Vipul Vijay, Midhun Krishnan, Amit K Agarwal

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Article in Journal of clinical orthopaedics and trauma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Challenges, controversies, and innovations in arthroplasty.Journal of clinical orthopaedics and trauma
    Article
  6. Article
  7. Review
  8. Additive manufacturing applications in orthopaedics: A review.Journal of clinical orthopaedics and trauma
    Review
  9. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Raju VaishyaDepartment of Orthopaedics, Indraprastha Apollo Hospital, New Delhi, India.
Vipul VijayDepartment of Orthopaedics, Indraprastha Apollo Hospital, New Delhi, India.
Midhun KrishnanDepartment of Orthopaedics, Dr. S.M.C.S.I. Medical College, Karakonam, Trivandrum, Kerala, India.
Amit K AgarwalDepartment of Orthopaedics, Indraprastha Apollo Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of the study was to assess the accuracy of tibial and femoral component size prediction using computerised tomography (CT) based patient specific instruments in total knee arthroplasty.

methodsEighty-eight knees in 58 patients underwent total knee arthroplasty (TKA) using CT based patient specific instruments between March 2015 to April 2016. All patients were assessed for the pre operative femoral and tibial component sizes predicted by the CT-based pre-operative plan. These sizes were compared with the actually implanted sizes during surgery, and the results were assessed. The data were evaluated using Wilcoxon signed rank tests, and p value set at <0.05 for significance.

resultsApproximately 72% predicted tibia sizes matched the final implanted sizes whereas 66% femoral implants matched their pre-operative predicted sizes. The difference in the tibial implant size was not statistically significant (p-value > 0.05). However, the difference in the femoral size was statistically significant (p-value 0.009). The downsizing of the tibial component was needed in 14.8% knees whereas upsizing was required in 13.6% of the knees. At the femoral side, 22.7% components required downsizing at the time of implantation as compared to 11.4% components wherein a bigger component was used.

conclusionsWe conclude that size prediction using CT-based technology for patient specific instrumentation is not fool proof. The size prediction accuracy for femoral and tibial components at 66% and 72% are low and cannot be relied upon at present. The patient specific technology using CT scan based jigs holds promise for the future, needs refining and fine tuning.

Indexed as

AccuracyComponent sizingPatient specific instrumentsTotal knee arthroplasty

Identifiers

PMID29628681
PMCPMC5884054

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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.