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Morphological Analysis and Classification of Posterior Malleolar Fractures Based on CT Scans

Completed
Conditions
CT Scans
Morphological Analysis and Classification
Posterior Malleolar Fractures
Registration Number
NCT05159258
Lead Sponsor
Peking University People's Hospital
Brief Summary

The study was to propose a classification system of posterior malleolar fractures by fracture lines with the use of CT scans, including 3D CT reconstruction, which can better understand morphological characteristics, analyze the mechanism and guide the surgeon to choose optimal approach and fixation.

Detailed Description

The investigators retrospectively analyzed consecutive patients with ankle fractures from January 2013 and December 2019 . Participants were included with OTA/AO type 44 fractures involving posterior malleolus and CT scans. The exclusion criteria were: (1) previous ankle surgery; (2) pathological fractures; (3) previous deformity in ankle joint; (4) age ≤16 years old. Finally, A total of 128 patients were included in this study. 128 consecutive participants with posterior malleolar fractures from January 2013 and December 2019. CT data were loaded into Mimics software (V20.0, Materialize), in which 3D CT reconstruction, morphological analysis and data measurements were made. Statistical analysis was performed using the Statistical Packages for Social Sciences V23.0 (SPSS, Chicago, IL, USA). Mann-Whitney U test were used. P value of \< 0.05 was considered statistically significant.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
128
Inclusion Criteria
  • OTA/AO type 44 fractures involving posterior malleolus and CT scans
Exclusion Criteria
  • Previous ankle surgery
  • Pathological fractures
  • Previous deformity in ankle joint
  • Age ≤16 years old

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
area of posterior malleolar fragment2013-2019
area of remaining stable plafond2013-2019
length of involving fibular notch2013-2019
posterior malleolar fracture classification2013-2019

Haraguchi, Bartonicek and Mason \& Molloy classification

length of remaining fibular notch2013-2019
Secondary Outcome Measures
NameTimeMethod
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