Predictors of Sentinel Node Involvement in Breast Cancer

Background: Sentinel  lymph  node  biopsy  has  shown  to  be  a  good  alternative procedure  for  axillary  lymph  node  dissection  and  to lead  to  lower  frequency  of morbidity, though this technique has its own side effects. It needs especial equipment and may not be available in some medic...

Full description

Bibliographic Details
Main Authors: Mohamadreza Neishaboury, Narjes Mohamadzadeh, Khatereh Jamei, Ahmad Kaviani
Format: Article
Language:English
Published: Kaviani Breast Disease Institute 2014-05-01
Series:Archives of Breast Cancer
Subjects:
Online Access:https://archbreastcancer.com/index.php/abc/article/view/14
id doaj-5db0179544ec48339c73d20eb3b8c509
record_format Article
spelling doaj-5db0179544ec48339c73d20eb3b8c5092020-11-25T02:14:04ZengKaviani Breast Disease InstituteArchives of Breast Cancer2383-04332014-05-011110.19187/abc.20141132-3614Predictors of Sentinel Node Involvement in Breast CancerMohamadreza Neishaboury0Narjes Mohamadzadeh1Khatereh Jamei2Ahmad Kaviani3Department of Surgery, Tehran University of Medical Sciences, Tehran, IranDepartment of Surgery, Tehran University of Medical Sciences, Tehran, IranResearch Department, Kaviani Breast Disease Institute, Tehran, IranDepartment of Surgery, Tehran University of Medical Sciences, Tehran, Iran Background: Sentinel  lymph  node  biopsy  has  shown  to  be  a  good  alternative procedure  for  axillary  lymph  node  dissection  and  to lead  to  lower  frequency  of morbidity, though this technique has its own side effects. It needs especial equipment and may not be available in some medical centers, especially in developing countries. This study aimed to identify a subgroup of patients with higher probability of metastasis to sentinel lymph node that can be excluded from indications of this procedure. Methods: In this cross-sectional study, the clinical data of 195 patients with breast cancer who underwent sentinel lymph node biopsy in Tehran, Iran, between 2009 and 2011 were reviewed. Whenever tumor features showed significant association with sentinel node metastasis in univariate analyses, logistic regression was used to identify independent predictors. Results: Univariate analyses revealed that tumor size and lymphovascular invasion have significant association  with  sentinel  lymph  node metastasis (P  =  0.009  and P < 0.001, respectively). Moreover, age had an significant association with positive sentinel lymph node biopsy (SLNB) (P = 0.004). Other factors, including tumor grade, estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2, were not associated with positive sentinel lymph node biopsy in univariate analysis. All factors  that  showed  significant  association  in  univariate  analysis  remained statistically significant predictors of positive SLB in multivariate analysis. Conclusions: It seems that young breast cancer patients, those who have tumors larger than 5 cm and those with lymphovascular invasion, are at an increased risk of sentinel lymph node metastasis. https://archbreastcancer.com/index.php/abc/article/view/14Breast CancerSentinel NodeLymph Node Metastasis
collection DOAJ
language English
format Article
sources DOAJ
author Mohamadreza Neishaboury
Narjes Mohamadzadeh
Khatereh Jamei
Ahmad Kaviani
spellingShingle Mohamadreza Neishaboury
Narjes Mohamadzadeh
Khatereh Jamei
Ahmad Kaviani
Predictors of Sentinel Node Involvement in Breast Cancer
Archives of Breast Cancer
Breast Cancer
Sentinel Node
Lymph Node Metastasis
author_facet Mohamadreza Neishaboury
Narjes Mohamadzadeh
Khatereh Jamei
Ahmad Kaviani
author_sort Mohamadreza Neishaboury
title Predictors of Sentinel Node Involvement in Breast Cancer
title_short Predictors of Sentinel Node Involvement in Breast Cancer
title_full Predictors of Sentinel Node Involvement in Breast Cancer
title_fullStr Predictors of Sentinel Node Involvement in Breast Cancer
title_full_unstemmed Predictors of Sentinel Node Involvement in Breast Cancer
title_sort predictors of sentinel node involvement in breast cancer
publisher Kaviani Breast Disease Institute
series Archives of Breast Cancer
issn 2383-0433
publishDate 2014-05-01
description Background: Sentinel  lymph  node  biopsy  has  shown  to  be  a  good  alternative procedure  for  axillary  lymph  node  dissection  and  to lead  to  lower  frequency  of morbidity, though this technique has its own side effects. It needs especial equipment and may not be available in some medical centers, especially in developing countries. This study aimed to identify a subgroup of patients with higher probability of metastasis to sentinel lymph node that can be excluded from indications of this procedure. Methods: In this cross-sectional study, the clinical data of 195 patients with breast cancer who underwent sentinel lymph node biopsy in Tehran, Iran, between 2009 and 2011 were reviewed. Whenever tumor features showed significant association with sentinel node metastasis in univariate analyses, logistic regression was used to identify independent predictors. Results: Univariate analyses revealed that tumor size and lymphovascular invasion have significant association  with  sentinel  lymph  node metastasis (P  =  0.009  and P < 0.001, respectively). Moreover, age had an significant association with positive sentinel lymph node biopsy (SLNB) (P = 0.004). Other factors, including tumor grade, estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2, were not associated with positive sentinel lymph node biopsy in univariate analysis. All factors  that  showed  significant  association  in  univariate  analysis  remained statistically significant predictors of positive SLB in multivariate analysis. Conclusions: It seems that young breast cancer patients, those who have tumors larger than 5 cm and those with lymphovascular invasion, are at an increased risk of sentinel lymph node metastasis.
topic Breast Cancer
Sentinel Node
Lymph Node Metastasis
url https://archbreastcancer.com/index.php/abc/article/view/14
work_keys_str_mv AT mohamadrezaneishaboury predictorsofsentinelnodeinvolvementinbreastcancer
AT narjesmohamadzadeh predictorsofsentinelnodeinvolvementinbreastcancer
AT khaterehjamei predictorsofsentinelnodeinvolvementinbreastcancer
AT ahmadkaviani predictorsofsentinelnodeinvolvementinbreastcancer
_version_ 1724902225177739264