PURPOSE: The risk of non sentinel node (NSN) involvement varies in function of the characteristics of sentinel nodes (SN) and primary tumor. Our aim was to determine and validate a statistical tool (a nomogram) able to predict the risk of NSN involvement in case of SN micro or sub-micrometastasis of breast cancer. We have compared this monogram with other models described in the literature. METHODS: We have collected data on 905 patients, then 484 other patients, to build and validate the nomogram and compare it with other published scores and nomograms. RESULTS: Multivariate analysis conducted on the data of the first cohort allowed us to define a nomogram based on 5 criteria: the method of SN detection (immunohistochemistry or by standard coloration with HES); the ratio of positive SN out of total removed SN; the pathologic size of the tumor; the histological type; and the presence (or not) of lympho-vascular invasion. The nomogram developed here is the only one dedicated to micrometastasis and developed on the basis of two large cohorts. The results of this statistical tool in the calculation of the risk of NSN involvement is similar to those of the MSKCC (the similarly more effective nomogram according to the literature), with a lower rate of false negatives. CONCLUSION: this nomogram is dedicated specifically to cases of SN involvement by metastasis lower or equal to 2 mm. It could be used in clinical practice in the way to omit ALND when the risk of NSN involvement is low.
PURPOSE: The risk of non sentinel node (NSN) involvement varies in function of the characteristics of sentinel nodes (SN) and primary tumor. Our aim was to determine and validate a statistical tool (a nomogram) able to predict the risk of NSN involvement in case of SN micro or sub-micrometastasis of breast cancer. We have compared this monogram with other models described in the literature. METHODS: We have collected data on 905 patients, then 484 other patients, to build and validate the nomogram and compare it with other published scores and nomograms. RESULTS: Multivariate analysis conducted on the data of the first cohort allowed us to define a nomogram based on 5 criteria: the method of SN detection (immunohistochemistry or by standard coloration with HES); the ratio of positive SN out of total removed SN; the pathologic size of the tumor; the histological type; and the presence (or not) of lympho-vascular invasion. The nomogram developed here is the only one dedicated to micrometastasis and developed on the basis of two large cohorts. The results of this statistical tool in the calculation of the risk of NSN involvement is similar to those of the MSKCC (the similarly more effective nomogram according to the literature), with a lower rate of false negatives. CONCLUSION: this nomogram is dedicated specifically to cases of SN involvement by metastasis lower or equal to 2 mm. It could be used in clinical practice in the way to omit ALND when the risk of NSN involvement is low.
Authors: Johannes Bargehr; Michael Edlinger; Michael Hubalek; Christian Marth; Roland Reitsamer Journal: Breast Care (Basel) Date: 2013-06 Impact factor: 2.860
Authors: Gábor Cserni; Rita Bori; Róbert Maráz; Marjut H K Leidenius; Tuomo J Meretoja; Paivi S Heikkila; Peter Regitnig; Gero Luschin-Ebengreuth; Janez Zgajnar; Andraz Perhavec; Barbara Gazic; György Lázár; Tibor Takács; András Vörös; Riccardo A Audisio Journal: Pathol Oncol Res Date: 2012-07-14 Impact factor: 3.201
Authors: Tomasz Nowikiewicz; Paweł Wnuk; Bogdan Małkowski; Andrzej Kurylcio; Janusz Kowalewski; Wojciech Zegarski Journal: Arch Med Sci Date: 2016-05-05 Impact factor: 3.318