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Algorithm of chest wall keloid treatment

Keloids are common in the Asian population. Multiple or huge keloids can appear on the chest wall because of its tendency to develop acne, sebaceous cyst, etc. It is difficult to find an ideal treatment for keloids in this area due to the limit of local soft tissues and higher recurrence rate. This...

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Autores principales: Long, Xiao, Zhang, Mingzi, Wang, Yang, Zhao, Ru, Wang, Youbin, Wang, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008580/
https://www.ncbi.nlm.nih.gov/pubmed/27583896
http://dx.doi.org/10.1097/MD.0000000000004684
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author Long, Xiao
Zhang, Mingzi
Wang, Yang
Zhao, Ru
Wang, Youbin
Wang, Xiaojun
author_facet Long, Xiao
Zhang, Mingzi
Wang, Yang
Zhao, Ru
Wang, Youbin
Wang, Xiaojun
author_sort Long, Xiao
collection PubMed
description Keloids are common in the Asian population. Multiple or huge keloids can appear on the chest wall because of its tendency to develop acne, sebaceous cyst, etc. It is difficult to find an ideal treatment for keloids in this area due to the limit of local soft tissues and higher recurrence rate. This study aims at establishing an individualized protocol that could be easily applied according to the size and number of chest wall keloids. A total of 445 patients received various methods (4 protocols) of treatment in our department from September 2006 to September 2012 according to the size and number of their chest wall keloids. All of the patients received adjuvant radiotherapy in our hospital. Patient and Observer Scar Assessment Scale (POSAS) was used to assess the treatment effect by both doctors and patients. With mean follow-up time of 13 months (range: 6–18 months), 362 patients participated in the assessment of POSAS with doctors. Both the doctors and the patients themselves used POSAS to evaluate the treatment effect. The recurrence rate was 0.83%. There was an obvious significant difference (P < 0.001) between the before-surgery score and the after-surgery score from both doctors and patients, indicating that both doctors and patients were satisfied with the treatment effect. Our preliminary clinical result indicates that good clinical results could be achieved by choosing the proper method in this algorithm for Chinese patients with chest wall keloids. This algorithm could play a guiding role for surgeons when dealing with chest wall keloid treatment.
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spelling pubmed-50085802016-09-10 Algorithm of chest wall keloid treatment Long, Xiao Zhang, Mingzi Wang, Yang Zhao, Ru Wang, Youbin Wang, Xiaojun Medicine (Baltimore) 7100 Keloids are common in the Asian population. Multiple or huge keloids can appear on the chest wall because of its tendency to develop acne, sebaceous cyst, etc. It is difficult to find an ideal treatment for keloids in this area due to the limit of local soft tissues and higher recurrence rate. This study aims at establishing an individualized protocol that could be easily applied according to the size and number of chest wall keloids. A total of 445 patients received various methods (4 protocols) of treatment in our department from September 2006 to September 2012 according to the size and number of their chest wall keloids. All of the patients received adjuvant radiotherapy in our hospital. Patient and Observer Scar Assessment Scale (POSAS) was used to assess the treatment effect by both doctors and patients. With mean follow-up time of 13 months (range: 6–18 months), 362 patients participated in the assessment of POSAS with doctors. Both the doctors and the patients themselves used POSAS to evaluate the treatment effect. The recurrence rate was 0.83%. There was an obvious significant difference (P < 0.001) between the before-surgery score and the after-surgery score from both doctors and patients, indicating that both doctors and patients were satisfied with the treatment effect. Our preliminary clinical result indicates that good clinical results could be achieved by choosing the proper method in this algorithm for Chinese patients with chest wall keloids. This algorithm could play a guiding role for surgeons when dealing with chest wall keloid treatment. Wolters Kluwer Health 2016-09-02 /pmc/articles/PMC5008580/ /pubmed/27583896 http://dx.doi.org/10.1097/MD.0000000000004684 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-sa/4.0 This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0, which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0
spellingShingle 7100
Long, Xiao
Zhang, Mingzi
Wang, Yang
Zhao, Ru
Wang, Youbin
Wang, Xiaojun
Algorithm of chest wall keloid treatment
title Algorithm of chest wall keloid treatment
title_full Algorithm of chest wall keloid treatment
title_fullStr Algorithm of chest wall keloid treatment
title_full_unstemmed Algorithm of chest wall keloid treatment
title_short Algorithm of chest wall keloid treatment
title_sort algorithm of chest wall keloid treatment
topic 7100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008580/
https://www.ncbi.nlm.nih.gov/pubmed/27583896
http://dx.doi.org/10.1097/MD.0000000000004684
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