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Nomogram for predicting positive resection margins after breast-conserving surgery.

Authors :
Shin, Hee-Chul
Han, Wonshik
Moon, Hyeong-Gon
Cho, Nariya
Moon, Woo
Park, In-Ae
Park, Sung
Noh, Dong-Young
Source :
Breast Cancer Research & Treatment; Oct2012, Vol. 134 Issue 3, p1115-1123, 9p
Publication Year :
2012

Abstract

A positive resection margin after breast-conserving surgery (BCS) is the most important risk factor for tumor recurrence. Re-excision after BCS often results in unnecessary wider excisions, or even mastectomies and poor cosmetic results, as well as increased medical costs and patients' anxiety. A nomogram for predicting positive resection margins may allow the surgeon to develop an individualized surgical plan. Data from 1,034 consecutive breast cancer patients with invasive or in situ breast cancer who initially underwent BCS between January 2008 and December 2009 were used to develop a nomogram for predicting positive resection margins. The nomogram was then validated independently using a cohort of 563 patients who underwent breast surgery in 2010. Multivariate logistic regression analysis showed that microcalcifications (OR 1.574, P = 0.034), grade 4 mammographic density (OR 4.515, P = 0.005), >0.5 cm difference in tumor size between magnetic resonance imaging and ultrasonography (OR 10.001, P < 0.0001), ductal carcinoma in situ (DCIS) on needle biopsy (OR 1.575, P = 0.044), and lobular component on needle biopsy (OR 3.985, P = 0.015) were independent predictors of positive resection margins. These significant variables were used to develop a nomogram for predicting positive resection margins after BCS; the AUCs of the study and the validation cohorts were 0.823 [95 % confidence interval (CI), 0.785-0.862] and 0.846 (95 % CI, 0.800-0.892), respectively. Our new nomogram using 5 variables that were determined before surgery to predict positive resection margins should aid the surgeon in developing individualized surgical plans for breast cancer patients who are scheduled for BCS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01676806
Volume :
134
Issue :
3
Database :
Complementary Index
Journal :
Breast Cancer Research & Treatment
Publication Type :
Academic Journal
Accession number :
78191307
Full Text :
https://doi.org/10.1007/s10549-012-2124-3