Fanous Nabil, Brousseau Valérie Julie, Karsan Naznin, Fanous Amanda
Canadian Institute of Cosmetic Surgery, Westmount, Montréal, Québec.
Can J Plast Surg. 2008 Summer;16(2):69-75. doi: 10.1177/229255030801600209.
A major problem for many rhinoplastic surgeons is the ability to predict, before surgery, the difficulty of the procedure (whether the rhinoplasties will be technically easy or technically difficult to perform) and the success rate of the result (whether the rhinoplasty will likely give good results or poor ones).The present paper outlines a systematic approach to nasal analysis, allowing the surgeon to consistently estimate, before surgery, the degree of technical difficulty of each rhinoplasty, as well as predicting its future result in terms of patient satisfaction. This preoperative evaluation is based on the analysis of the skin texture and the osteocartilagenous framework on lateral and frontal views. It allows for the nose to be classified as green (easy), yellow (moderate) or red (difficult), depending on two factors: the degree of surgical difficulty and the expected patient's satisfaction with the result.The essence of the present paper is to introduce a simple, systematic approach to assist the novice rhinoplastic surgeon to assess the complexity, the risks and the expected outcome of a rhinoplasty in the preoperative period, rather than postoperatively.
对许多鼻整形外科医生来说，一个主要问题是在手术前能否预测手术的难度（鼻整形手术在技术上是容易还是困难）以及手术结果的成功率（鼻整形手术可能产生好的还是差的效果）。本文概述了一种系统的鼻分析方法，使外科医生能够在手术前始终如一地估计每次鼻整形手术的技术难度程度，并根据患者满意度预测其未来结果。这种术前评估基于对侧面和正面视图上的皮肤质地和骨软骨框架的分析。根据手术难度程度和患者对结果的预期满意度这两个因素，它可以将鼻子分为绿色（容易）、黄色（中等）或红色（困难）。本文的核心是引入一种简单、系统的方法，以帮助新手鼻整形外科医生在术前而非术后评估鼻整形手术的复杂性、风险和预期结果。
