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Abstract #2005

Development and validation of a nomogram model for predicting disease-free survival in breast cancer patients after neoadjuvant chemotherapy

Shuluan Chen1,2, Shunan Che2, Mengying Yang2, Yufei Chen2, Sicong Wang3, and Jing Li2
1Cancer Hospital Chinese Academy Of Medical Sciences, Shenzhen Center, Shenzhen, China, 2Cancer Hospital Chinese Academy Of Medical Sciences, Beijing, China, 3GE Healthcare China, Beijing, China

Synopsis

Keywords: Breast, Breast

Motivation: Assessing prognosis and identifying high-risk factors for breast cancer patients after neoadjuvant chemotherapy (NAC) remains challenging. This study aims to improve prognostic accuracy and support clinical decision-making in this patient population.

Goal(s): To evaluate the predictive performance of a nomogram based on clinicopathological and baseline MRI features for estimating disease-free survival (DFS) in breast cancer patients after NAC.

Approach: Clinicopathological and MRI features were selected using univariate Cox and Lasso-Cox analyses to construct a nomogram, which was validated in an independent cohort.

Results: The combined nomogram, integrating clinicopathological and MRI features, demonstrated a C-index of 0.706 in the training cohort for predicting DFS.

Impact: This nomogram model facilitates early identification of high-risk recurrence factors, enabling personalized treatment and potentially improving survival outcomes for breast cancer patients post-NAC.

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