Utility of OGSE-Based Microstructural Parameters in Predicting Lymph Node Metastasis in Breast Cancer
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.
Authors
- Meining Chen
- Thorsten Feiweier (ORCID: https://orcid.org/0009-0005-3537-9844)
- Siqi Chen (ORCID: https://orcid.org/0009-0006-8336-3940)
- Jiao Bai (ORCID: https://orcid.org/0000-0001-5234-0988)
- Xiaolong Guo (ORCID: https://orcid.org/0000-0002-6636-2333)
- Zhengyuan Xiao (ORCID: https://orcid.org/0000-0002-0912-2739)
- Jian Shu (ORCID: https://orcid.org/0000-0002-7386-7217)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/3893
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00