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Breast Cancer Nomogram : Disclaimer

The prediction tools, also known as prognostic nomograms, located on the MSKCC Web site are for general health information only. The prediction tools are not to be used as a substitute for medical advice, diagnosis, or treatment of any health condition or problem.

Users of the prediction tools should not rely on information provided by the prediction tools for their own health problems. Questions should be addressed to your own physician or other healthcare provider.

MSKCC makes no warranties, nor express or implied representations whatsoever, regarding the accuracy, completeness, timeliness, comparative or controversial nature, or usefulness of any information contained or referenced in the prediction tools. MSKCC does not assume any risk whatsoever for your use of the prediction tools or the information contained herein. Health related information changes frequently and therefore information contained in the prediction tools may be outdated, incomplete or incorrect.

Use of the prediction tools does not create an express or implied physician-patient relationship. MSKCC does not endorse or claim validity for the prediction tools found on the MSKCC Web site. The activities and products of MSKCC and its developers and agents (collectively MSKCC) are not endorsed by our past, present, or future employers. MSKCC does not record specific prediction tool user information and does not contact users of the prediction tools.

You are hereby advised to consult with a physician or other professional healthcare provider prior to making any decisions, or undertaking any actions or not undertaking any actions related to any healthcare problem or issue you might have at any time, now or in the future. In using the prediction tools, you agree that neither MSKCC nor any other party is or will be liable or otherwise responsible for any decision made or any action taken or any action not taken due to your use of any information presented in the prediction tools.

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Breast Cancer Nomogram: Ductal Carcinoma In Situ (DCIS) Recurrence

In consultation with a physician, this tool can be used by patients who have had breast-conserving surgery to treat ductal carcinoma in situ (DCIS) to predict the likelihood that their breast cancer will return in the same breast that was originally treated. Patients can use this information to make decisions regarding various treatment options, such as radiation therapy and anti-estrogen therapy.

CalculateClearEnter Your Information

Enter age at the time of diagnosis.
years old (25 to 90)
Select YES if there are first- (e.g., mother or sister) or second-degree (e.g., paternal aunt or grandmother) relatives with breast cancer.
Select Clinical if there was an abnormality on physical examination; select Radiologic if an abnormality was seen only on breast imaging studies (e.g., mammography).
Select YES if radiation therapy is given after breast-conserving surgery.
Select YES if anti-estrogen treatment (e.g., tamoxifen, raloxifene).
Select the nuclear grade from the pathology report. (Low = slight or no variation in the size and shape of the cell nuclei; Intermediate/High = moderate to marked variation in the size and shape of the cell nuclei.)
Select YES if the pathology report states that there was necrosis associated with the DCIS.
Select “Negative” if there is a margin width of at least 2 mm. Select “Positive or Close” if margin width is 2 mm or less.
Indicate the number of surgical excisions that were required.
excisions (1 to 4)
Indicate the year surgery was performed.
year (1991 to present)

Learn More About Your Results

A Nomogram for Predicting the Risk of Local Recurrence After Breast-Conserving Surgery for DCIS.

This tool predicts the likelihood that a patient’s breast cancer will recur in the same breast after receiving breast-conserving surgery for ductal carcinoma in situ (DCIS).

Supporting Publication

Nomogram for Predicting the Risk of Local Recurrence After Breast-Conserving Surgery for Ductal Carcinoma In Situ. Rudloff U, Jacks LM, Goldberg JI, Wynveen CA, Brogi E, Patil S, Van Zee KJ. J Clin Oncol. 2010 Jul 12. PMID: 20625132