Evidence map›Paper›PMID 34575395›Full record

ArticleJournal of clinical medicine2021

Using MRI Measurement to Improve Accuracy of Femoral Component Sizing in Oxford Unicompartmental Knee Arthroplasty.

Cheng-Pang Yang, Ying-Chieh Lai, Chen-Te Wu, Kung-Tseng Hung, Yi-Sheng Chan, Alvin Chao-Yu Chen, Kuo-Yao Hsu

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Cheng-Pang YangDepartment of Orthopedic Surgery, Division of Sports Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Linkou, Taoyuan 333, Taiwan.
Ying-Chieh LaiDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan 333, Taiwan.ORCID 0000-0003-0148-9488
Chen-Te WuDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan 333, Taiwan.
Kung-Tseng HungDepartment of Orthopedic Surgery, Division of Sports Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Linkou, Taoyuan 333, Taiwan.
Yi-Sheng ChanDepartment of Orthopedic Surgery, Division of Sports Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Linkou, Taoyuan 333, Taiwan.
Alvin Chao-Yu ChenDepartment of Orthopedic Surgery, Division of Sports Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Linkou, Taoyuan 333, Taiwan.
Kuo-Yao HsuDepartment of Orthopedic Surgery, Division of Sports Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Linkou, Taoyuan 333, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unicompartmental knee arthroplasty (UKA) can achieve better kinematics and faster recovery than total knee arthroplasty. The Phase III Oxford UKA system has five sizes of femoral components to approximate the normal knee geometry. However, these different sizes may also induce problems, such as the misselection of component size. Different criteria have been proposed to predict the ideal size preoperatively. However, no single method can be applied universally. Therefore, this study aimed to develop a preoperative measurement using knee magnetic resonance imaging (MRI) to predict femoral component size. A total of 68 patients who underwent UKA were investigated from June 2019 to April 2020. 16 knees using a different MRI protocol were excluded. We developed an MRI measurement method to determine femoral size instead of gender- and height-based methods. The accuracy of different methods was compared using postoperative true lateral view radiographs. Three different kinds of gender- and height-based criteria, preoperative templating and intraoperative spoon measurement were compared. The accuracy of MRI measurement was 90.3%. Therefore, a significant difference was found between MRI measurements and all other methods, such as templating or gender- and height-based methods. In conclusion, the MRI measurement method can be concluded to accurately predict femoral component size in UKA. This method could be used regardless of different ethnic groups, individual knee geometry, or soft tissue tension.

Indexed as

anteromedial osteoarthritisfemoral component sizeMRI measurementunicompartmental knee arthroplasty

Identifiers

PMID34575395
PMCPMC8469505

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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.