Learning curve for the detection of axillary sentinel lymph node in breast cancer1

Details

Serval ID
serval:BIB_95E691297AC2
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Learning curve for the detection of axillary sentinel lymph node in breast cancer1
Journal
European Journal of Surgical Oncology
Author(s)
Classe  J. M., Curtet  C., Campion  L., Rousseau  C., Fiche  M., Sagan  C., Resche  I., Pioud  R., Andrieux  N., Dravet  F.
ISSN
0748-7983 (Print)
Publication state
Published
Issued date
2003
Volume
29
Number
5
Pages
426-433
Notes
PT - Journal Article
Abstract
AIM: Sentinel axillary lymph node (SALN) detection is a new technique. Surgeons must progress up a learning curve in order to guarantee quality and safety equivalent to axillary lymphadenectomy. To ensure accurate staging of patients this learning curve must include SALN detection and an axillary lymphadenectomy. The aim of our work was to validate the principles and evaluate the consequences of learning curve for SALN detection from a prospective series of 200 consecutive patients. METHOD: Prospective assessment was made of the detection and false negative rates, post operative morbidity as abcess and seroma, and length of hospital stay. RESULTS: We evaluated the performance from the first to the hundredth case for each surgeon. Detection rate improved to 85% after patient number 10. False negative rate was less than 6%. Post operative axillary morbidity included 11% of seromas and 2% of abcess. Mean hospital stay was 2.8 days. CONCLUSION: Multidisciplinary validation of the learning period contributes to an accurate and safe SALN
Keywords
Adult/Aged/Analysis of Variance/Axilla/Breast Neoplasms/Pathology/radionuclide imaging/Chi-Square Distribution/Clinical Competence/False Negative Reactions/Female/Humans/Lymphatic Metastasis/Medical Oncology/education/Middle Aged/Neoplasm Staging/Predictive Value of Tests/Sentinel Lymph Node Biopsy/Statistics,Nonparametric/surgery
Pubmed
Web of science
Create date
29/01/2008 18:34
Last modification date
20/08/2019 14:58
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