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Abstract #1989

Predicting HER-2 Expression in Breast Cancer Using MDME-Based T1 and T2 Mapping Combined with DWI

Yanxin Zhou1, Jun Li1, Meining Chen2, Nan Zhou1, Yongmiao Wang1, Yizhen Zeng1, and Yanhui Lu1
1Medical imaging department,First Affiliated Hospital of Kunming Medical University, Kunming 650000, China, 2MR Research Collaboration, Siemens Healthineers Ltd., Chengdu, China

Synopsis

Keywords: Quantitative Imaging, Breast

Motivation: HER-2 expression in breast cancer is key for personalized treatment but often requires invasive biopsy. MRI-based quantitative imaging, particularly MDME synthetic T1 and T2 mapping or DWI, may offer a non-invasive, efficient alternative.

Goal(s): To evaluate the clinical value of T1, T2, and ADC measurements for predicting HER-2 expression in breast cancer.

Approach: In 58 breast cancer patients, MDME rapidly acquired T1 and T2 mappings with multiple contrast images, while DWI provided ADC values. Statistical analysis revealed differences across HER-2 expression levels.

Results: T2 values and combined model showed significant predictive power for HER-2 expression, supporting MDME as a non-invasive diagnostic tool.

Impact: MDME-based T1 and T2 mappings combined with DWI offers a rapid, non-invasive method for predicting HER-2 expression in breast cancer, potentially reducing the need for biopsy and supporting preoperative decision-making.

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