A nomogram integrating DCE-MRI imaging features and clinicopathological parameters for predicting pathological complete response in HER2-positive breast cancer

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HER2-positive breast cancer accounts for 15-20% of cases and is characterized by aggressive behavior and poor prognosis.
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A nomogram was developed to predict pathological complete response (pCR) in HER2-positive breast cancer patients receiving neoadjuvant chemotherapy.
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The study analyzed 166 patients, identifying independent predictors of pCR including ADCmin value, Ki-67 index, and tumor size.
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The nomogram demonstrated excellent discrimination with AUC values of 0.823 in the training cohort and 0.795 in the validation cohort.
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Molecular subtype analysis showed higher pCR rates in HR-/HER2+ patients compared to HR+/HER2+ patients.

Frontiers In Oncology

by Jianlong Wu, Bo Gao, Jingna Wu, Zhongsheng Peng, Min Ye, Changyou Zhong, Mengxia Zhuang, Jinfeng Zhang
June 24, 2026

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