2012
DOI: 10.1200/jco.2011.36.4976
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Evaluation of a Breast Cancer Nomogram for Predicting Risk of Ipsilateral Breast Tumor Recurrences in Patients With Ductal Carcinoma in Situ After Local Excision

Abstract: A B S T R A C T PurposePrediction of patients at highest risk for ipsilateral breast tumor recurrence (IBTR) after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The aim of our study was to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center to predict for risk of IBTR in patients with DCIS from our institution. Patients and MethodsWe retrospectively identified 794 patients with a diagnosis of DCIS who had undergone local excision from 1990 through 2007 at t… Show more

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Cited by 107 publications
(67 citation statements)
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“…A publicly available risk-estimation model (at www.nomograms.org) has been validated in at least 5 independent patient populations, and provides an individualized risk estimate. 2833 Risks and benefits of the various management options can then be weighed by the individual patient and her clinician, according to her values, with the goal of choosing the optimal treatment strategy.…”
Section: Discussionmentioning
confidence: 99%
“…A publicly available risk-estimation model (at www.nomograms.org) has been validated in at least 5 independent patient populations, and provides an individualized risk estimate. 2833 Risks and benefits of the various management options can then be weighed by the individual patient and her clinician, according to her values, with the goal of choosing the optimal treatment strategy.…”
Section: Discussionmentioning
confidence: 99%
“…3032 A nomogram that combines 10 different patient and pathological variables and adjuvant treatments to estimate risk of recurrence after BCS for DCIS allows identification of those at relatively low risk of recurrence 16 and has been validated in independent populations. 3335 …”
Section: Introductionmentioning
confidence: 99%
“…Nuclear grade and margin status are other factors that appear to influence recurrence in DCIS, though certainly there are studies that refute these findings [12]. Two major clinical tools that aid in risk stratification and treatment planning--the University of Southern California/Van Nuys Prognostic Index and the DCIS nomogram introduced by Rudloff et al--utilize both clinical and pathologic factors such as tumor size, necrosis, and margin status [10,13,14]. While our current ability to accurately predict recurrence on the basis of this parameters is limited, clearly the paradigm that "one approach fits all" in patients with DCIS is shifting.…”
Section: Dcis Accounts For Approximately 20% Of All Newly Diagnosed Bmentioning
confidence: 99%