Evidence map›Paper›PMID 28948339›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2018

Predicted osteotomy planes are accurate when using patient-specific instrumentation for total knee arthroplasty in cadavers: a descriptive analysis.

A J Kievit, J G G Dobbe, G J Streekstra, L Blankevoort, M U Schafroth

Open access · hybridAbstract read
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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.

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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Experience with patient-specific guides, insteatientad of general surgical experience, improves the accuracy of 3D-guided corrective osteotomies.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Clinical Outcome of Total Knee Arthroplasty Performed Using Patient-Specific Cutting Guides.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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

5 authors at 2 institutions in 1 country.

A J KievitOrthopaedic Research Center Amsterdam, Department of Orthopaedic Surgery of the Academic Medical Center, University of Amsterdam, Amsterdam Movement Sciences, 1100 DE, Amsterdam, The Netherlands. a.j.kievit@amc.uva.nl.
J G G DobbeDepartment of Biomedical Engineering and Physics of the Academic Medical Center, University of Amsterdam, 1100 DE, Amsterdam, The Netherlands.
G J StreekstraDepartment of Biomedical Engineering and Physics of the Academic Medical Center, University of Amsterdam, 1100 DE, Amsterdam, The Netherlands.
L BlankevoortOrthopaedic Research Center Amsterdam, Department of Orthopaedic Surgery of the Academic Medical Center, University of Amsterdam, Amsterdam Movement Sciences, 1100 DE, Amsterdam, The Netherlands.
M U SchafrothOrthopaedic Research Center Amsterdam, Department of Orthopaedic Surgery of the Academic Medical Center, University of Amsterdam, Amsterdam Movement Sciences, 1100 DE, Amsterdam, The Netherlands.
University of Amsterdam · NLAcademic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMalalignment of implants is a major source of failure during total knee arthroplasty. To achieve more accurate 3D planning and execution of the osteotomy cuts during surgery, the Signature (Biomet, Warsaw) patient-specific instrumentation (PSI) was used to produce pin guides for the positioning of the osteotomy blocks by means of computer-aided manufacture based on CT scan images. The research question of this study is: what is the transfer accuracy of osteotomy planes predicted by the Signature PSI system for preoperative 3D planning and intraoperative block-guided pin placement to perform total knee arthroplasty procedures?

methodsThe transfer accuracy achieved by using the Signature PSI system was evaluated by comparing the osteotomy planes predicted preoperatively with the osteotomy planes seen intraoperatively in human cadaveric legs. Outcomes were measured in terms of translational and rotational errors (varus, valgus, flexion, extension and axial rotation) for both tibia and femur osteotomies.

resultsAverage translational errors between the osteotomy planes predicted using the Signature system and the actual osteotomy planes achieved was 0.8 mm (± 0.5 mm) for the tibia and 0.7 mm (± 4.0 mm) for the femur. Average rotational errors in relation to predicted and achieved osteotomy planes were 0.1° (± 1.2°) of varus and 0.4° (± 1.7°) of anterior slope (extension) for the tibia, and 2.8° (± 2.0°) of varus and 0.9° (± 2.7°) of flexion and 1.4° (± 2.2°) of external rotation for the femur.

conclusionThe similarity between osteotomy planes predicted using the Signature system and osteotomy planes actually achieved was excellent for the tibia although some discrepancies were seen for the femur. The use of 3D system techniques in TKA surgery can provide accurate intraoperative guidance, especially for patients with deformed bone, tailored to individual patients and ensure better placement of the implant.

Indexed as

AgedAged, 80 and overArthroplasty, Replacement, KneeBone MalalignmentCadaverFemaleFemurHumansImaging, Three-DimensionalJoint DiseasesKnee JointMaleOsteotomyPatient-Specific ModelingRotationSurgery, Computer-Assisted3D AnalysisAccuracy studyBiomet Signature, patient-specific instrumentationCTTotal knee arthroplasty

Identifiers

PMID28948339
PMCPMC5966490
OpenAlexW2756917371

What OpenQuestion holds

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Registered trials

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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.