Evidence map›Paper›PMID 41367768›Full record

ArticleQuantitative imaging in medicine and surgery2025

The correlation between femoral trochlear dysplasia and meniscal tear in young individuals: a finite element analysis based on MRI.

Guang Tan, Jie Xia, Haojie Shan, Qiaoqiao Zou, Yunpeng Tang, Kai Yang, Qun Wen, Wenli Tan

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guang Tan *Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-2667-6415
Jie Xia *Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0002-2355-8798
Haojie ShanDepartment of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-7193-7878
Qiaoqiao ZouInstitute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-1805-2784
Yunpeng TangInstitute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-9944-7168
Kai YangInstitute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-2581-6263
Qun WenDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7002-8637
Wenli TanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-7727-5772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Femoral trochlear dysplasia (FTD) and meniscal tear are common knee disorders, yet there is lack of research investigating the correlation between them. We aimed to investigate the prevalence of FTD in young meniscal tear patients, and observe the main tear locations. Meanwhile, we explored the force distribution on meniscus by finite element analysis (FEA). Methods: The magnetic resonance (MR) images of 422 young patients with meniscal tears confirmed by the arthroscopy (the meniscal tears group) and 412 young patients with a history of knee joint pain but without evidence of meniscal tears (the comparison group) were reviewed. The meniscal tears group underwent MR scans before the arthroscopy. FTD was diagnosed according to the Dejour classification. The prevalence of FTD in both groups and the main locations of meniscal tears were observed. The objective radiological parameters were measured in two groups. Multicollinearity testing was carried out, and variables with a variance inflation factor (VIF) value less than 10 were retained in the logistic regression analysis, and statistical difference defined as P<0.05. Last, FEA was performed on patients without FTD and with different types of FTD from the comparison group, respectively, and the biomechanical distribution was observed. Results: The incidence of FTD was higher in the meniscal tears group than the comparison group (36.02% Conclusions: The high-grade FTD was the independent predictor of meniscal tear. The posterior horn of medial meniscus was the most susceptible and this might be related to the increased stress on it confirmed by FEA.

Indexed as

Femoral trochlear dysplasia (FTD)finite element analysis (FEA)magnetic resonance imaging (MRI)meniscal tear

Identifiers

PMID41367768
PMCPMC12682492

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