Evidence map›Paper›PMID 30762689›Full record

ArticleClinical orthopaedics and related research2019

What Is the Possible Impact of High Variability of Distal Femoral Geometry on TKA? A CT Data Analysis of 24,042 Knees.

Malin Meier, Sumesh Zingde, André Steinert, William Kurtz, Franz Koeck, Johannes Beckmann

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Article in Clinical orthopaedics and related research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. [The importance of individual knee arthroplasty].Orthopadie (Heidelberg, Germany) · 2025
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  10. Custom total knee: understanding the indication and process.Archives of orthopaedic and trauma surgery · 2021
    Review
  11. Contemporary knee arthroplasty: one fits all or time for diversity?Archives of orthopaedic and trauma surgery · 2021
    Review
  12. Custom TKA: what to expect and where do we stand today?Archives of orthopaedic and trauma surgery · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 5 countries.

Malin MeierM. Meier, J. Beckmann, Sportklinik Stuttgart, Stuttgart, Germany S. Zingde, Conformis Inc, Billerica, MA, USA A. Steinert, Krankenhaus Agatharied, Hausham, Germany W. Kurtz, Tennessee Orthopaedic Alliance, Nashville, TN, USA F. Koeck, MedArtes, Neutraubling, Germany.
Sumesh Zingde
André Steinert
William Kurtz
Franz Koeck
Johannes Beckmann
Herat University · AF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies analyzing femoral components of TKAs have demonstrated the limited ability of these components to accommodate size variations seen in the patient population, particularly width and femoral offset. QUESTIONS/PURPOSES: The purpose of this study was to use a large data set of knee CT scans (1) to determine the variations in the distal and posterior femoral geometries and to determine whether there is a correlation between distal condylar offset and posterior femoral offset as a potential parameter for symmetry/asymmetry; and (2) to evaluate what proportion of knees would have a substantial mismatch between the implant's size or shape and the patient's anatomy if a femoral component of a modern standard TKA of symmetric (sTKA) or asymmetric (asTKA) designs were to be used.

methodsA retrospective study was performed on 24,042 data sets that were generated during the design phase for a customized TKA implant. This data set was drawn from European and US-American patients. Measurements recorded for the femur included the overall AP and mediolateral (ML) widths, widths of the lateral condyle and the medial condyle, the distal condylar offset (DCO) between the lateral and medial condyles in the superoinferior direction, and the posterior femoral offset (PFO) as the difference between the medial and lateral posterior condylar offset (PCO) measured in the AP direction. A consecutively collected subset of 2367 data sets was further evaluated to determine the difference between the individual AP and ML dimensions of the femur with that of modern TKA designs using two commercially available implants from different vendors.

resultsWe observed a high degree of variability in AP and ML widths as well as in DCO and PFO. Also, we found no correlation between DCO and PCO of the knees studied. Instances of a patient having a small DCO and higher PCO were commonly seen. Analysis of the DFOs revealed that overall, 62% (14,906 of 24,042) of knees exhibited DCO > 1 mm and 83% (19,955 of 24,042) of femurs exhibited a > 2-mm difference between the lateral and medial PCO. Concerning AP and ML measurements, 23% (544 of 2367) and 25% (592 of 2367) would have a mismatch between the patient's bony anatomy and the dimensions of the femoral component of ± 3 mm if they would have undergone a modern standard sTKA or asTKA design, respectively.

conclusionsAnalysis of a large number of CT scans of the knee showed that a high degree of variability exists in AP and ML widths as well as in DCO and PFO. CLINICAL RELEVANCE: These findings suggest that it is possible that a greater degree of customization could result in surgeons performing fewer soft tissue releases and medial resections than now are being done to fit a fixed-geometry implant into a highly variable patient population. However, as an imaging study, it cannot support one approach to TKA over another; comparative studies that assess patient-reported outcomes and survivorship will be needed to help surgeons decide among sTKA, asTKA, and customized TKA.

Indexed as

Arthroplasty, Replacement, KneeTomography, X-Ray ComputedClinical Decision-MakingFemurHumansKnee JointKnee ProsthesisPredictive Value of TestsProsthesis DesignRetrospective StudiesTreatment Outcome

Identifiers

PMID30762689
PMCPMC6382181
OpenAlexW2914559937

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.