Nomogram for predicting the risk of local recurrence after breast-conserving surgery for ductal carcinoma in situ Journal Article


Authors: Rudloff, U.; Jacks, L. M.; Goldberg, J. I.; Wynveen, C. A.; Brogi, E.; Patil, S.; Van Zee, K. J.
Article Title: Nomogram for predicting the risk of local recurrence after breast-conserving surgery for ductal carcinoma in situ
Abstract: Purpose: While the mortality associated with ductal carcinoma in situ (DCIS) is minimal, the risk of ipsilateral breast tumor recurrence (IBTR) after breast-conserving surgery (BCS) is relatively high. Radiation therapy (RT) and antiestrogen agents reduce the risk of IBTR and are considered standard treatment options after BCS. However, they have never been proven to improve survival, and in themselves carry rare but serious risks. Individualized estimation of IBTR risk would assist in decision making regarding the various treatment options for women with DCIS. Patients and Methods: From 1991 to 2006, 1,868 consecutive patients treated with BCS for DCIS were identified. A multivariate Cox proportional hazards model was constructed using the 1,681 in whom data were complete. Ten clinical, pathologic, and treatment variables were built into a nomogram estimating probability of IBTR at 5 and 10 years after BCS. The model was validated for discrimination and calibration using bootstrap resampling. Results: The DCIS nomogram for prediction of 5- and 10-year IBTR probabilities demonstrated good calibration and discrimination, with a concordance index of 0.704 (bootstrap corrected, 0.688) and a concordance probability estimate of 0.686. Factors with the greatest influence on risk of IBTR in the model included adjuvant RT or endocrine therapy, age, margin status, number of excisions, and treatment time period. Conclusion: The DCIS nomogram integrates 10 clinicopathologic variables to provide an individualized risk estimate of IBTR in a woman with DCIS treated with BCS. This tool may assist in individual decision making regarding various treatment options and help avoid over- and undertreatment of noninvasive breast cancer. © 2010 by American Society of Clinical Oncology.
Keywords: adult; cancer survival; middle aged; major clinical study; cancer risk; neoplasm recurrence, local; proportional hazards models; calibration; risk factors; breast neoplasms; risk factor; risk assessment; proportional hazards model; conservative treatment; nomograms; tumor recurrence; breast tumor; carcinoma in situ; breast surgery; nomogram; paget nipple disease; segmental mastectomy; mastectomy, segmental; carcinoma, ductal, breast; bootstrapping
Journal Title: Journal of Clinical Oncology
Volume: 28
Issue: 23
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2010-08-10
Start Page: 3762
End Page: 3769
Language: English
PUBMED: 20625132
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 7" - "Export Date: 20 April 2011" - "CODEN: JCOND" - "Source: Scopus"
Citation Impact
MSK Authors
  1. Sujata Patil
    511 Patil
  2. Kimberly J Van Zee
    293 Van Zee
  3. Udo Rudloff
    12 Rudloff
  4. Edi Brogi
    517 Brogi
  5. Christine Ann Wynveen
    11 Wynveen
  6. Lindsay Jacks
    37 Jacks