Predicting likelihood of having four or more positive nodes in patient with sentinel lymph node-positive breast cancer: a nomogram validation study

Int J Radiat Oncol Biol Phys. 2009 Nov 15;75(4):1035-40. doi: 10.1016/j.ijrobp.2008.12.028. Epub 2009 Mar 26.

Abstract

Purpose: Katz suggested a nomogram for predicting having four or more positive nodes in sentinel lymph node (SLN)-positive breast cancer patients. The findings from this formula might influence adjuvant radiotherapy decisions. Our goal was to validate the accuracy of the Katz nomogram.

Methods and materials: We reviewed the records of 309 patients with breast cancer who had undergone completion axillary lymph node dissection. The factors associated with the likelihood of having four or more positive axillary nodes were evaluated in patients with one to three positive SLNs. The nomogram developed by Katz was applied to our data set. The area under the curve of the corresponding receiver operating characteristics curve was calculated for the nomogram.

Results: Of the 309 patients, 80 (25.9%) had four or more positive axillary lymph nodes. On multivariate analysis, the number of positive SLNs (p < .0001), overall metastasis size (p = .019), primary tumor size (p = .0001), and extracapsular extension (p = .01) were significant factors predicting for four or more positive nodes. For patients with <5% probability, 90.3% had fewer than four positive nodes and 9.7% had four or more positive nodes. The negative predictive value was 91.7%, and sensitivity was 80%. The nomogram was accurate and discriminating (area under the curve, .801).

Conclusion: The probability of four or more involved nodes is significantly greater in patients who have an increased number of positive SLNs, increased overall metastasis size, increased tumor size, and extracapsular extension. The Katz nomogram was validated in our patients. This nomogram will be helpful to clinicians making adjuvant treatment recommendations to their patients.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Area Under Curve
  • Axilla
  • Breast Neoplasms / pathology*
  • Breast Neoplasms / surgery
  • Carcinoma, Ductal, Breast / secondary*
  • Carcinoma, Ductal, Breast / surgery
  • Carcinoma, Lobular / secondary*
  • Carcinoma, Lobular / surgery
  • Chi-Square Distribution
  • Female
  • Humans
  • Likelihood Functions
  • Lymph Nodes / pathology
  • Lymphatic Metastasis / pathology
  • Mastectomy, Segmental
  • Middle Aged
  • Nomograms*
  • Sentinel Lymph Node Biopsy*
  • Tumor Burden