| Literature DB >> 33708960 |
Ming Ni1, Miko Lin Lv2, Wanju Sun1, Yingqi Zhang3, Jiong Mei4, Duo Wai-Chi Wong5,6, Haowei Zhang2, Yongwei Jia7, Ming Zhang5,6.
Abstract
BACKGROUND: Intra-articular calcaneal fracture remains challenging to manage. Computed tomography and fracture mapping are useful for the diagnosis and treatment of calcaneal fractures. The aim of the present study was to characterize calcaneal fracture patterns using fracture mapping.Entities:
Keywords: 3D computed tomography; Calcaneal fracture; classification; fracture pattern; mapping
Year: 2021 PMID: 33708960 PMCID: PMC7944289 DOI: 10.21037/atm-20-7824
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Figure 1Fracture mapping process. Every fragment was reconstructed in Mimics (A). Fracture fragments were virtually reduced in the 3D views (B). Fracture lines were transcribed onto the 2-dimensional template in 3-matic software (C).
Figure 2Method used for 3D computed tomography mapping of calcaneal fractures. Intact calcaneal template (A), fracture model marked with a line (B), model with 20 superimposed lines (C), and model of all 62 fracture lines (D).
Figure 3Comparison of calcaneal fracture lines: fracture map (A) and heat map (B). The density of fracture lines in heat map is shown by different colors (blue to red, indicating low to high incidence).
Patient demographics
| Demographic | Data (n=62) |
|---|---|
| Mean age, years (SD) | |
| Male | 46.2 (13.4) |
| Female | 38.4 (11.5) |
| Total | 42.5 (12.7) |
| Sex, n (%) | |
| Male | 47 (75.8) |
| Female | 15 (24.2) |
| Foot, n (%) | |
| Left | 24 (38.7) |
| Right | 38 (61.3) |
| Sanders classification, n (%) | |
| II | 15 (24.2) |
| III | 16 (25.8) |
| IV | 31 (50.0) |
| Fracture mechanism, n (%) | |
| Fall from height | 52 (83.9) |
| Motor accident | 10 (16.1) |
SD, standard deviation.
Figure 4Heat map of calcaneal fracture lines: superior (A), medial (B), lateral (C), and anterior views (D).