A digital classification system of pelvic fractures based on close reduction techniques
10.3760/cma.j.cn115530-20240201-00050
- VernacularTitle:基于骨折闭合复位技术的新型骨盆骨折数字化分型系统的提出与验证
- Author:
Xu SUN
1
;
Yuneng LI
;
Qiyong CAO
;
Chunpeng ZHAO
;
Yimin CHEN
;
Minghui YANG
;
Shiwen ZHU
;
Honghua WU
;
Xinbao WU
Author Information
1. 首都医科大学附属北京积水潭医院创伤骨科，北京 100035
- Keywords:
Robotics;
Pelvis;
Sacrum;
Digital classification system;
Close reduction
- From:
Chinese Journal of Orthopaedic Trauma
2024;26(5):428-434
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the feasibility and consistency of a new digital classification system of pelvic fractures named as JST classification based on close reduction techniques.Methods:A retrospective collection was conducted of the data from the 63 patients with pelvic fracture who had undergone surgical treatment after JST classification at Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital from March 2021 to March 2023. Digital classification of the pelvic fractures was performed based on their locations and displacements. The classification first divides the pelvis into 4 parts: left half pelvis and right half pelvis; sacral Denis Ⅲ area and pubic symphysis. The symmetrical left and right sacral Denis Ⅰ and Denis Ⅱ areas are also included in the left/right half pelvis. Subsequently, the left half pelvis and right half pelvis are divided into 4 regions and marked by capitalized English letters: Sacrum Area (including Denis Ⅰ and Denis Ⅱ, denoted as S), Sacroiliac Joint Area (denoted as J), Iliac Area (denoted as I), and Pubic Area (denoted as P); to distinguish right/left, R and L are used as prefixes. The 2 asymmetric parts are also marked with English letters: Denis Ⅲ area of the sacrum (denoted as Sac), and pubic symphysis (denoted as C). Afterwards, the fracture line morphology and displacement in each region are marked digitally to form a complete JST classification system. The inter- and intra-observer reliabilities (Fleiss' and Cohen's Kappa) of the JST classification system were tested by 3 observers with more than 10 years of experience in pelvic fracture treatment.Results:Consistency analysis of the JST classification results showed that the mean κ value of the intra-observer reliability was 0.818 (from 0.658 to 0.946, P<0.001) and the inter-observer reliability 0.873 (from 0.674 to 1.000, P<0.001), both indicating excellent agreement. Of the 63 patients, 59 obtained successful closed reduction with the assistance of the Rossum Robot R-Universal intelligent orthopedic surgical robot system after fracture classification by the JST system, yielding a success rate of 93.7% (59/63). Conclusions:The new JST classification system for pelvic fractures demonstrates strong intra and inter-observer reliabilities compared with traditional classification systems. As JST classification system labels each fracture site and key bones, it is of great significance for the deep learning and intraoperative operations of intelligent fracture robots.
