Application of digital classification based on AO classification in floating knee injury

Abstract Objective A digital classification system based on AO classification was adopted to study and summarize different types of floating knee injuries. Methods One hundred cases with a floating knee injury from March 2005 to December 2020 were collected, including 74 males and 26 females with an...

Full description

Saved in:
Bibliographic Details
Main Authors: Nan Zhou, Xingkai Zhang, Hongzhi Liu, Gangqiang Du, Dongyang Zhao, Zeyue Geng, Mingliang Ma, Zhigang Wang
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Musculoskeletal Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12891-024-08078-6
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Objective A digital classification system based on AO classification was adopted to study and summarize different types of floating knee injuries. Methods One hundred cases with a floating knee injury from March 2005 to December 2020 were collected, including 74 males and 26 females with an average age of 43.74 years. The distribution of the affected limbs in there were 51 cases (51.0%) on the left and 46 cases (46.0%) on the right, as well as 3 cases (3.0%) that got bilaterally affected limbs. The femora and tibiae in this system were divided into three parts separately based on the AO classification, which was finally composed of six types after pairwise combination. The images in this study would be analyzed by using the classification to summarize the distribution rules of the classification in a floating knee injury. Results The proportion of I-VI type injury was 42.7%(44/103) in type I, 18.4%(19/103) in type II, 9.7%(10/103) in type III, 10.7%(11/103) in type IV, 11.7%(12/103) in type V, and 6.8%(7/103) in type VI. Conclusions The digital classification system of floating knee injury based on AO classification could classify most cases of floating knee injury and cases with open injury, which referred to a reference effectively for the selection of surgical treatment plan, and would be conducive to the future clinical classification.
ISSN:1471-2474