Harris Steven, Alfertshofer Michael, Allen Rory, Castellari Fabrizio, Othoro Don, Bran Greg, Cotofana Sebastian
private practice in London, UK.
Division of Hand, Plastic and Aesthetic Surgery, Ludwig-Maximilians-University Munich, Germany.
Aesthet Surg J Open Forum. 2023 Mar 15;5:ojad007. doi: 10.1093/asjof/ojad007. eCollection 2023.
Lip enhancement procedures involving dermal fillers are one of the most sought after nonsurgical aesthetic treatments. However, current trends are associated with unnatural results and involve increased risks of complications and compromise to normal function. It appears that lips may be classified according to the presentation of their tubercles and this may be used to guide minimally invasive techniques which aim to preserve individual lip shapes and normal function.
To test the reliability of a classification system based on lip tubercle morphology, named the Lip Classification of Tubercles (LCT).
To test the reliability of the LCT, a total of 214 high-definition photographs of patients' lips with no previous histories of lip treatments were classified independently by 4 experienced aesthetic practitioners on 2 separate occasions 3 months apart; the second followed a more detailed explanation of the classification.
When inter-rater reliability was calculated for the first attempt, the results were 36% and 43% for upper and lower lips, respectively. The second attempt following an education process resulted in 79% for both lips. When 1 practitioner was considered the standard, the average score for the remaining 3 showed some individual variation but improved significantly from 58% to 85%.
The LCT is a reliable way to classify lip types based on the morphology of tubercles.
使用真皮填充剂的唇部填充手术是最受欢迎的非手术美容治疗之一。然而，目前的趋势伴随着不自然的效果，且并发症风险增加，还会影响正常功能。似乎嘴唇可以根据其结节的表现进行分类，这可用于指导旨在保留个体唇形和正常功能的微创技术。
测试一种基于唇部结节形态的分类系统（称为唇部结节分类法，LCT）的可靠性。
为测试LCT的可靠性，4名经验丰富的美容从业者对214张无唇部治疗史患者的高清唇部照片进行独立分类，分两次进行，间隔3个月；第二次分类前对分类方法进行了更详细的解释。
第一次分类时，计算评分者间信度，上唇和下唇的结果分别为36%和43%。经过培训后的第二次分类，双唇的信度均为79%。以1名从业者的分类为标准时，其余3人的平均评分虽有个体差异，但从58%显著提高到了85%。
LCT是一种基于结节形态对唇型进行可靠分类的方法。
