Document Type
Article
Publication Date
12-14-2001
Abstract
We previously demonstrated that abnormal nipple aspirate fluid (NAF) cytology predicted residual breast cancer (RC) and tumour size after excisional biopsy (EB), although normal NAF cytology did not exclude RC. Tumour size correlates with the risk of lymph node (LN) metastases. LN metastases provide prognostic information allowing medical and radiation oncologists to determine the need for adjuvant therapy. We hypothesized that pathologic factors known after EB, combined with NAF cytology, would predict with a high degree of accuracy the presence of RC and LN spread. NAF cytology and pathologic parameters: tumour distance from biopsy margins, multifocal and multicentric disease, sub-type of ductal carcinoma in situ (DCIS) or invasive cancer (IC), grade of DCIS or IC, tumour and specimen size, tumour and biopsy cavity location, presence or absence of extensive DCIS, and biopsy scar distance from the nipple were evaluated bivariately and then by logistic regression (LR) for their association with RC and involved LN (> or = 1 (+) LN, useful to determine chemotherapy need, and > or = 4 (+) LN, useful to determine radiation need to the chest and axilla). Data were analysed using NAF cytology alone, pathologic parameters alone, and NAF cytology and pathologic parameters combined. The combined LR model was superior in predicting residual cancer (94%) to LR models using NAF cytology (36%) or pathologic parameters (75%) alone. When only subjects with normal NAF cytology were evaluated by LR, the model was 92% sensitive in predicting RC. Tumour size and NAF cytology predicted which patients had > or = 1 (+) LN, whereas tumour and specimen size predicted which patients had > or = 4 (+) LN. We propose an algorithm which, if confirmed in a larger study, may allow clinicians to be more selective in their recommendations of re-excision breast biopsy or mastectomy.
Recommended Citation
Sauter, E R; Ehya, H; Mammen, A; and Klein, G, "Nipple aspirate cytology and pathologic parameters predict residual cancer and nodal involvement after excisional breast biopsy." (2001). Department of Surgery Faculty Papers. Paper 82.
https://jdc.jefferson.edu/surgeryfp/82
PubMed ID
11747339
Comments
This article has been peer reviewed. It was published in: British Journal of Cancer.
Volume 85, Issue 12, December 2001, Pages 1952-1957.
The published version is available at PMID: 11747339. Copyright © Nature Publishing Group.