Publications

Can negative axillary node clearances in sentinel node positive breast cancers be accurately predicted and therefore prevented?

Abstract

Methods: Retrospective pathological data was reviewed from 75 consecutive patients with SN positive breast cancer who underwent ANC. Four models were assessed: Tenon score, MDA score, MSKCC nomogram and Stanford nomogram. The sensitivity, specificity, false negative rate (FNR), positive (PPV) and negative predictive values and number of patients identified by each model were calculated.
Results: 44 patients (59%) had negative ANCs. The models failed to identify the majority of these patients (FNRs of 77-100%). The MSKCC nomogram failed to identify any of the 44 ANC negative patients. The Tenon score identified the highest number of patients (13) although 3 of these had at least one positive non-SN at ANC (PPV of 77%). The MDA score had a PPV of 100%(no patients incorrectly identified) but only identified 9%(4) of the negative ANC patients.
Conclusions: These models failed to identify the …

Date
2011
Authors
Harriet Julian, M Walker, S Narayanan
Journal
European Journal of Surgical Oncology
Volume
37
Issue
5
Pages
S7
Publisher
Elsevier