Evidence map›Paper›PMID 41272216›Full record

ArticleSurgical and radiologic anatomy : SRA2025

Morphological analysis of ankle joint space width.

Rong Liao, Jian Yu, Xuelian Gu, Xiayi Yang, Wenxu Gong, Yurong Tao, Ping Li, Jiale Dong

Abstract readValidation Study
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In one paragraph

Article in Surgical and radiologic anatomy : SRA, 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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0citing papers in PubMed
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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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Rong LiaoSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.
Jian YuDepartment of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuelian GuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China. guxuelian@usst.edu.cn.
Xiayi YangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.
Wenxu GongSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.
Yurong TaoSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.
Ping LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.
Jiale DongSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 334 Jungong Road, Shanghai, 200093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study constructed a statistical shape model (SSM) of the full ankle joint-including the tibia, talus, calcaneus, and fibula-in healthy Chinese males and analyzed the variation patterns of joint space width (JSW). Computed tomography scans of 108 asymptomatic ankle joints were collected from healthy Chinese males and used to construct a statistical shape model based on principal component analysis. Anatomical variations were evaluated using spatial mapping and least-squares regression. The statistical shape model satisfied the validation criteria for accuracy, compactness, generalization, and specificity, and participants demonstrated high conformity in joint surface coverage and congruency. The first principal component explained more than 22% of the total variance. The minimum joint space widths for the tibiotalar, talofibular, and talocalcaneal joints ranged from 0.85 to 1.95 mm, 0.87 to 2.39 mm, and 0.90 to 3.32 mm, respectively, while the average joint space widths ranged from 2.81 to 3.35 mm, 1.36 to 3.36 mm, and 2.12 to 4.95 mm, respectively. Regression analysis showed that the first five principal modes of variation were strongly correlated with anatomical variations in ankle JSW. This study will provide theoretical support for the early diagnosis and personalized treatment of ankle joint diseases, as well as important morphological references for prosthesis design and biomechanical simulation research.

Indexed as

Anatomic VariationAnkle JointAdultAnatomic LandmarksAnkle InjuriesCalcaneusEarly DiagnosisFibulaHealthy VolunteersHumansMaleModels, StatisticalOsteoarthritisPrincipal Component AnalysisProsthesis DesignRegression AnalysisAnkle jointJoint space and congruencyMorphologyRegression analysisStatistical shape model

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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.