Evidence map›Paper›PMID 41190663›Full record

ArticleOrthopaedic surgery2025

Influence of Cartilage on Femoral Component Rotation in Robotic-Assisted Total Knee Arthroplasty: A Model-Based Quantitative Analysis and Clinical Data Evaluation.

Hao-Ming An, Qing-Da Wei, Wang Gu, Gang Wang, Wei Chai, Rui Li

Abstract read
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Article in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hao-Ming AnSchool of Medicine, Nankai University, Tianjin, China.
Qing-Da WeiSenior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China.ORCID https://orcid.org/0009-0006-2178-0933
Wang GuSenior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China.
Gang WangOutpatient Department of Haidian No. 44 Sanatorium for Retired Cadres, Beijing, China.
Wei ChaiSchool of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-8781-9745
Rui LiSenior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-1265-2052

Funding

Beijing Science and Technology Planning Project Z221100003522014
6 · The paper itself

Abstract

objectivesFemoral component rotation affects knee function and component survival in total knee arthroplasty (TKA). However, the presence of posterior femoral condylar cartilage leads to discrepancies in the femoral posterior condylar axis (PCA) between robotic-assisted TKA and manual TKA. The purpose of this study was to investigate the relationship between the discrepancy in thickness of the medial and lateral posterior femoral condylar cartilage and the discrepancy between robotic-assisted and manual rotation of the femoral component.

methodsIn the computed tomography (CT) modeling simulation section, we retrospectively reviewed a total of 18 preoperative knee CT scans of patients who underwent robotic-assisted TKA with different femoral prosthesis sizes between January 2022 and January 2023 to measure the mean posterior femoral condylar distance between femurs of different sizes. In the prospective clinical study section, we prospectively measured the cartilage thickness of the medial and lateral posterior condyles in 60 patients who underwent Mako-assisted TKA between October 2023 and December 2024.

resultsAccording to our mathematical model of the difference between robotic and manual femoral component rotation in the presence of different femoral sizes and differences in medial and lateral posterior condyle cartilage thicknesses, the maximum value of angular discrepancy of PCA was 4.02° and the minimum value was 1.13°. The average cartilage thickness difference between the medial and lateral posterior femoral condyles was 0.29 ± 0.97 mm (-2.00 to 2.10 mm). The mean difference in femoral component rotation between robotic and manual TKA was 0.35° ± 1.21° (-2.61° to 2.82°).

conclusionFor most patients with posterior femoral condylar cartilage, the PCA determined by robotic-assisted surgery was greater than that determined manually. Therefore, when surgeons perform TKA with robotic assistance, it is important to be aware of this discrepancy in femoral component rotation to avoid complications such as poor component survival due to inadequate rotation of the femoral component.

Indexed as

Arthroplasty, Replacement, KneeCartilage, ArticularFemurRobotic Surgical ProceduresAgedFemaleHumansKnee ProsthesisMaleMiddle AgedProspective StudiesRetrospective StudiesRotationTomography, X-Ray Computedcartilagefemoral component rotationkneerobotic‐assistedtotal knee arthroplasty

Identifiers

PMID41190663
PMCPMC12685482

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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.