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Abstract #2004

New biomarkers’ exploration with multiparametric MRI for predicting pathological response to neoadjuvant chemotherapy in breast cancer

Yanbo Li1, Jinxia Guo2, Yuchen Xue3, Lizhi Xie2, and Hong Lu1
1Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China, 2GE Healthcare, Beijing, China, Beijing, China, 3Tianjin Medical University General Hospital, Tianjin, China

Synopsis

Keywords: Breast, biomarkers, neoadjuvant chemotherapy

Motivation: Accurate prediction of pathological completed response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer.

Goal(s): Evaluate the value of potential MRI biomarkers for predicting pCR and establish a new nomogram to improve predictive performance.

Approach: We conducted an analysis of 692 patients, utilizing univariable and multivariable logistic regression analyses, and training/validation cohorts for model development and validation.

Results: Our newly developed model, combining the selected MRI parameters, hormone receptor (HR) and Ki67 index, exhibited strong predictive power, and also identified the rimed enhancement pre-NAC, and tumor size, wash-in slope, and ADC after NAC as significant imaging biomarkers of pCR.

Impact: The impact of this study is significant, as it enhances breast cancer treatment by providing a reliable predictive model for neoadjuvant chemotherapy response, potentially improving patient outcomes and treatment strategies.

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