252
Views
8
CrossRef citations to date
0
Altmetric
Original Article

Assessment of changing patterns of Le fort fracture lines using computed tomography scan: an observational study

, , , , &
Pages 984-988 | Received 15 Mar 2014, Accepted 21 May 2014, Published online: 17 Sep 2014
 

Abstract

Objectives. To assess the changing mid-face fracture patterns using a computed tomography scan. Methodology: Fifty patients with mid-face trauma requiring open reduction and fixation were studied using 1.6 mm axial, sagittal, coronal and 3D images. Images were evaluated clinically, intra-operatively and finally were compared with standard Le Fort lines. Results. The male population dominated the female at a ratio of 11.5:1. The majority of the mid-face fractures were seen in the age group of 21–30 years. Road traffic accident (78%) was the major etiological factor followed by work-related accidents (12%) and assaults (10%). The CT scan analysis included categorizing the patients into three groups: (1) Fracture patterns resembling Le Fort lines (24%); (2) Fracture patterns partially resembling Le Fort lines (56%); and (3) Fracture patterns that do not resemble Le Fort lines (20%). Conclusion. With the change in the velocity of wounding object, there is a change in the mid-face fracture patterns. The majority of the cases present as a variant of classical Le Fort fractures. Computed tomography is a valuable diagnostic tool in assessing the fractures of the mid-face. 2D images are more sensitive than 3D images. However, both the images are required in delivery of an optimal treatment plan.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.