Analysis of effectiveness of a surgical treatment algorithm for basal cell carcinoma
An. bras. dermatol
;
91(6): 726-731, Nov.-Dec. 2016. tab, graf
Article
Dans Anglais
| LILACS
| ID: biblio-837995
ABSTRACT
Abstract BACKGROUND:
Surgical excision is the treatment of choice for basal cell carcinoma and micrographic surgery considered the gold standard, however not yet used routinely worldwide available, as in Brazil. Considering this, a previously developed treatment guideline, which the majority of tumors were treated by conventional technique (not micrographic) was tested.OBJECTIVE:
To establish the recurrence rate of basal cell carcinomas treated according to this guideline.METHOD:
Between May 2001 and July 2012, 919 basal cell carcinoma lesions in 410 patients were treated according to the proposed guideline. Patients were followed-up and reviewed between September 2013 and February 2014 for clinical, dermatoscopic and histopathologic detection of possible recurrences.RESULTS:
After application of exclusion criteria, 520 lesions were studied, with 88.3% primary and 11.7% recurrent tumors. Histological pattern was indolent in 85.5%, 48.6% were located in high risk areas and 70% small tumors. Only 7.3% were treated by Mohs micrographic surgery. The recurrence rate, in an average follow-up period of 4.37 years, was 1.3% for primary and 1.63% for recurrent tumors. Studylimitations:
unicenter study, with all patients operated on by the same surgeon.CONCLUSION:
The treatment guideline utilized seems a helpful guide for surgical treatment of basal cell carcinoma, especially if micrographic surgery is not available.
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Tumeurs cutanées
/
Algorithmes
/
Carcinome basocellulaire
Type d'étude:
Etude d'étiologie
/
Études d'évaluation
/
Guide de pratique
/
Étude observationnelle
/
Étude pronostique
Limites du sujet:
Adulte
/
Adulte très âgé
/
Aged80
/
Femelle
/
Humains
/
Mâle
langue:
Anglais
Texte intégral:
An. bras. dermatol
Thème du journal:
Dermatologie
Année:
2016
Type:
Article
Pays d'affiliation:
Brésil
Institution/Pays d'affiliation:
Universidade Federal Fluminense/BR
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