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Abstract #1984

R2* MRI for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Synopsis

Jiaping Yu1, Siyao Du2, Haonan Guan3, and Lina Zhang1
1The Fourth Affiliated Hospital of China Medical University, Shenyang, China, 2The First Hospital of China Medical University, Shenyang, China, 3GE Healthcare, Beijing, China

Synopsis

Keywords: Breast, Breast

Motivation: Neoadjuvant chemotherapy (NAC) in breast cancer can vary significantly in effectiveness across patients, necessitating early markers to guide individualized treatment and avoid ineffective therapies.

Goal(s): This study explores the utility of R2* values from IDEAL-IQ MRI as predictive biomarkers for NAC response and assesses their correlation with background parenchymal enhancement (BPE) on DCE-MRI.

Approach: R2* values and BPE were measured from pre- and post-treatment MRI in 78 patients; data were analyzed for predictive value and correlation.

Results: Combined delta R2*, delta affected R2*, and delta BPE achieved high predictive accuracy for pathologic complete response, with significant correlations observed with receptor subtypes and BPE.

Impact: This research highlights R2* values from IDEAL-IQ MRI as valuable, early biomarkers for breast cancer chemotherapy response, potentially guiding clinical decisions, enhancing personalized treatment approaches, and contributing to better patient outcomes by reducing unnecessary or ineffective therapies.

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