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

NCT ID: NCT05159258

Last Updated: 2021-12-16

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 128 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2013-01-01
• Study Completion Date: 2020-11-01

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.

Conditions

Morphological Analysis and Classification; Posterior Malleolar Fractures; CT Scans

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: RETROSPECTIVE

Interventions

Intervention Type: OTHER

Eligibility Criteria

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

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Peking University People's Hospital

OTHER

Sponsor Role: lead

Responsible Party

Hailin Xu

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Other Identifiers

MACPMFCTscans

Identifier Type: -

Identifier Source: org_study_id