Three-Dimensional Mapping of Distal Clavicle Fractures: Displacement Patterns and Clinical Implications for Surgical Management.
Orthopaedic surgery(2025)
Abstract
OBJECTIVE:Current classifications inadequately address distal clavicle fracture instability due to their coronal plane focus, neglecting multiplanar displacement and underestimation of complexity on routine radiographs. This study aimed to bridge this gap by employing three-dimensional (3D) fracture mapping to characterize injury patterns, offering mechanistic insights to optimize surgical strategies. METHODS:A retrospective analysis was conducted on 81 patients diagnosed with acute distal clavicle fractures at Wuxi Ninth People's Hospital between 2019 and 2022. Axial and sagittal CT planes were utilized to demonstrate fracture line alignment. Manual simulated repositioning was performed for all fracture lines, which were subsequently graphically superimposed onto a standard template of the intact distal clavicle. A 3D map was generated and subsequently transformed into a heatmap. The classification of distal clavicle fractures was determined based on the updated and modified Neer classification. Two points were designated at the distal end of the fracture block and at the repositioned counterpart to assess the three-dimensional spatial position, including shortening along the x-axis, horizontal displacement along the y-axis, vertical displacement along the z-axis, as well as the displacement angles in the three planes, thereby quantifying the displacement of each distal clavicle fracture. RESULTS:This study included 81 cases of distal clavicle fractures (43 cases on the left side and 38 cases on the right side). The distribution included 8 cases (9.88%) of Neer I, 5 cases (6.17%) of Neer IIA, 31 cases (38.27%) of Neer IIB, 11 cases (13.58%) of Neer IIC, 14 cases (17.28%) of Neer III, and 12 cases (14.81%) of Neer V. Fracture mapping revealed that the fracture lines were predominantly located in the distal one-third of the distal clavicle, with the highest concentration at the acromion end. The majority of displaced distal clavicle fractures exhibit multidirectional displacement, mainly posterior, superior, and shortening, along with angulation in the corresponding directions. CONCLUSIONS:Most displaced distal clavicle fractures involve multiple displacements and angulations, necessitating three-dimensional analysis during fracture reduction. A comprehensive 3D assessment of displacement patterns is essential for evaluating stability and guiding treatment. Fracture line analysis further enhances classification accuracy and informs imaging protocols and fixation strategies tailored to specific fracture types.
MoreTranslated text
Key words
computed tomography,distal clavicle fracture,fracture line,fracture mapping,Heatmap,three‐dimensional imaging
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined