Suppr超能文献

Facial fracture classification according to skeletal support mechanisms.

作者信息

Donat T L, Endress C, Mathog R H

机构信息

Department of Otolaryngology--Head and Neck Surgery, University of Minnesota Health Sciences Center, Minneapolis, USA.

出版信息

Arch Otolaryngol Head Neck Surg. 1998 Dec;124(12):1306-14. doi: 10.1001/archotol.124.12.1306.

Abstract

OBJECTIVE

To construct, propose, and evaluate the usefulness of a new clinical facial fracture classification scheme to accurately denote, communicate, and compare facial fractures.

DESIGN

A retrospective, consecutive sample study with application of the proposed classification scheme to denote maxillary and zygomatic fractures with computed tomography.

SETTING

Metropolitan tertiary care trauma center.

PATIENTS

A total of 213 consecutive adult patients with facial fractures evaluated by means of 2-dimensional computed tomography.

RESULTS

The classification scheme is defined according to fractures of vertical buttresses and horizontal beams. The scheme uses 3 primary descriptors of laterality and support sites to denote the clinical pattern of the fractures. This scheme was accurately applied and sufficient to describe 87 midfacial fracture patterns in this study. In addition, 118 (98%) of 120 mock fracture patterns were correctly transcribed and reproducibly communicated among 12 participating physicians.

CONCLUSIONS

This newly proposed facial fracture classification scheme provides a convenient, specific, descriptive, and reproducible method of denoting fracture patterns. This scheme may be used to accurately communicate and compare, in greater detail than permitted using current independent classification schemes, the essential site and degree-of-severity characteristics of facial fractures critical to their surgical reduction and reconstruction. The usefulness of this classification scheme in determining optimal methods and subsequent outcomes in midfacial fracture reduction requires further investigation.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验