Literature DB >> 11900217

Predictive model of axillary lymph node involvement in women with small invasive breast carcinoma: axillary metastases in breast carcinoma.

Caroline Martin1, Bruno Cutuli, Michel Velten.   

Abstract

BACKGROUND: Axillary lymph node involvement (ALNI) remains the most accurate predictive factor for recurrence risk and survival in patients with invasive breast carcinoma (IBC) and is an essential element in therapeutic decisions. However, axillary dissection (AD) is responsible for several side effects and is now discussed in small IBC. The objective of this study was to define a predictive model of ALNI by using clinical and histologic variables available before surgery.
METHODS: The authors studied 795 cases of IBC (T0, T1, T2 < or = 4 cm; N0; M0) treated between 1980 and 1997 by conservative surgery and radiation therapy. All cases had axillary dissection with at least 10 lymph nodes removed. A stepwise logistic regression analysis was performed to build a predictive model of ALNI. The authors then used the jackknife resampling technique to produce unbiased estimates of the probabilities of ALNI along with their confidence intervals.
RESULTS: The global ALNI rate was 25.7%. The final predictive model included clinical tumor size, location, and histologic subtype and grade as variables independently associated with ALNI. The estimated probability of ALNI varied from 6% to 45%, according to case characteristics for these variables.
CONCLUSIONS: These results show that the omission of AD in surgical procedures for these tumors is debatable. Even when ALNI rates were low, the superior bounds of the confidence intervals could be high. Consequently, we do not recommend to omit AD in women whose estimated risks are higher than 25%. Women with a risk of ALNI lower than 25% could benefit from the sentinel lymph node procedure with, likewise, a limited risk of false-negative.

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Mesh:

Year:  2002        PMID: 11900217     DOI: 10.1002/cncr.10229

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  4 in total

1.  Optimal timing of adjuvant treatment in patients with early breast cancer.

Authors:  Necati Alkis; Ayse G Durnali; Ulku Y Arslan; Murat Kocer; Fatih O Onder; Saadet Tokluoglu; Gokhan Celenkoglu; Sadik Muallaoglu; Gungor Utkan; Arife Ulas; Kadri Altundag
Journal:  Med Oncol       Date:  2010-05-15       Impact factor: 3.064

2.  Sentinel Node Biopsy in Special Histologic Types of Invasive Breast Cancer.

Authors:  Montserrat Solà; Mireia Recaj; Eva Castellà; Pere Puig; Josep Maria Gubern; Juan Francisco Julian; Manel Fraile
Journal:  J Breast Health       Date:  2016-04-01

3.  A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning.

Authors:  Mohammad R Mohebian; Hamid R Marateb; Marjan Mansourian; Miguel Angel Mañanas; Fariborz Mokarian
Journal:  Comput Struct Biotechnol J       Date:  2016-12-06       Impact factor: 7.271

4.  Frequency and Predictors of Axillary Lymph Node Metastases in Iranian Women with Early Breast Cancer

Authors:  Saleh Sandoughdaran; Mona Malekzadeh; Mohammad Esmaeil Mohammad Esmaeil
Journal:  Asian Pac J Cancer Prev       Date:  2018-06-25
  4 in total

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