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Abstract #3893

Utility of OGSE-Based Microstructural Parameters in Predicting Lymph Node Metastasis in Breast Cancer

Jiao Bai1, Siqi Chen1, Meining Chen2, Xi Guo1, Zhengyuan Xiao1, Feiweier Thorsten3, and Jian Shu1
1Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China, 2MR Research Collaboration, Siemens Healthineers Ltd, Chengdu, China, 3MR Research and Clinical Translation, The Siemens Healthineers AG, Erlangen, Germany

Synopsis

Keywords: Microstructure, Microstructure, OGSE,IMPULSED models

Motivation: Accurate preoperative assessment of lymph node metastasis is vital in breast cancer treatment, but current imaging methods lack sufficient sensitivity, particularly for micrometastases.

Goal(s): This study evaluates OGSE-derived MRI parameters to non-invasively distinguish metastatic from non-metastatic lymph nodes in breast cancer.

Approach: We retrospectively analyzed OGSE microstructural parameters and ADC values in 109 patients, applying ROC and multivariate analyses for diagnostic performance.

Results: Significant differences were observed in OGSE parameters and ADCs between groups, with combined predictors yielding high diagnostic accuracy.

Impact: This study demonstrates that OGSE-based microstructural MRI parameters provide a reliable, non-invasive tool for assessing lymph node metastasis in breast cancer. These findings could enhance diagnostic accuracy, guide surgical decisions, and improve patient outcomes.

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