Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
This online tool is designed to estimate the probability of a pathological complete response (pCR)
in breast cancer patients receiving neoadjuvant chemotherapy based on a machine learning model
developed and validated using data from 56,209 patients captured by the National Cancer Database (NCDB) from 2018 to 2020.
Please ensure that all the required fields* are accurately filled,
and then click the 'Submit' button to get the predicted probability based on the data you have provided.
ER/PR% Positivity, HER2 IHC Categories, HER2/CEP17 FISH Ratio and Ki-67 Scores will be imputed if not available.
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DISCLAIMER
This website is provided for general health information only and should not replace professional medical advice.
For specific patient care and treatment decisions, always consult directly with your individual healthcare provider.
In using this website and the nomograms, you agree that neither the University of Chicago Medical Center ('UCMC')
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. Use of this website does not create an expressed
or implied physician-patient relationship. UCMC does not assume any risk for your use of this website and/or its
calculator or the information contained herein. UCMC makes no warranties or representations, expressed or implied,
regarding the accuracy, completeness, timeliness, or usefulness of any information contained or referenced in the
website and/or the calculator. You are advised to consult with a 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.