Optimising Aesthetic Reconstruction of Scalp Soft Tissue by an Algorithm Based on Defect Size and Location

Author:

Ooi Adrian SH1,Kanapathy Muholan1,Ong Yee Siang1,Tan Kok Chai1,Tan Bien Keem1

Affiliation:

1. Singapore General Hospital, Singapore

Abstract

Introduction: Scalp soft tissue defects are common and result from a variety of causes. Reconstructive methods should maximise cosmetic outcomes by maintaining hair-bearing tissue and aesthetic hairlines. This article outlines an algorithm based on a diverse clinical case series to optimise scalp soft tissue coverage. Materials and Methods: A retrospective analysis of scalp soft tissue reconstruction cases performed at the Singapore General Hospital between January 2004 and December 2013 was conducted. Results: Forty-one patients were included in this study. The majority of defects <100 cm2 were reconstructed with local flaps and were subdivided by location. Methods included rotation, transposition and free flaps. The most common type of reconstruction performed for defects ≥100 cm2 was free flap reconstruction. Multistage reconstruction using tissue expanders aided in optimising cosmetic outcomes. There were no major complications or flap failures. Conclusion: By analysing our experience with scalp soft tissue reconstruction, we have developed an algorithm based on defect size and location, achieving excellent closure and aesthetic outcome while minimising complications and repeat procedures. Key words: Flaps, Reconstruction Algorithm, Scalp

Publisher

Academy of Medicine, Singapore

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3