SPIO-enhanced MRI for differentiating metastatic from reactive hyperplastic lymph nodes in breast cancer: diagnostic performance and association with VEGF-C expression

Background: Accurate assessment of lymph node status is essential for staging and treatment planning in breast cancer. Conventional morphological imaging criteria have limited sensitivity and specificity. Superparamagnetic Iron Oxide (SPIO)-enhanced MRI offers a functional imaging alternative exploiting macrophage-mediated iron uptake. This study evaluated the diagnostic performance of SPIO-enhanced MRI in differentiating metastatic from reactive hyperplastic lymph nodes and explored the association between MRI signal characteristics and Vascular Endothelial Growth Factor C (VEGF-C) expression. Methods: Sixty female breast cancer patients (January-May 2024) underwent preoperative plain and SPIO-enhanced MRI (Resovist, 0.2 mL/kg, 12-h delay). Among 112 harvested lymph nodes, Hematoxylin and Eosin staining, Prussian Blue staining, and VEGF-C immunohistochemistry were performed. The Percentage of Signal Intensity Loss (PSIL) was calculated on T2*-weighted images. The primary diagnostic analysis was patient-level using mean PSIL with receiver operating characteristic analysis. Results: < 0.001). Conclusion: SPIO-enhanced MRI demonstrated favorable diagnostic performance for differentiating metastatic from reactive hyperplastic lymph nodes at the patient level. The imaging characteristics were associated with supportive histopathological findings and VEGF-C expression patterns. These findings warrant validation in larger, multicenter studies using currently available iron oxide agents.

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Journal
Frontiers in Medicine
Published
2026-04-22
DOI
https://doi.org/10.3389/fmed.2026.1800084
Primary Topic
Breast Cancer Treatment Studies
Type
article
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article

SPIO-enhanced MRI for differentiating metastatic from reactive hyperplastic lymph nodes in breast cancer: diagnostic performance and association with VEGF-C expression

Dan Gong, Dan Wu, Tao Wu, Hui Xiong et al.
Frontiers in Medicine
Breast Cancer Treatment Studies
article

SPIO-enhanced MRI for differentiating metastatic from reactive hyperplastic lymph nodes in breast cancer: diagnostic performance and association with VEGF-C expression

Dan Gong, Dan Wu, Tao Wu, Hui Xiong, Angela Wu, Jiaying Deng, Jun Luo, Zhewen Zhang
article en

Abstract

Background: Accurate assessment of lymph node status is essential for staging and treatment planning in breast cancer. Conventional morphological imaging criteria have limited sensitivity and specificity. Superparamagnetic Iron Oxide (SPIO)-enhanced MRI offers a functional imaging alternative exploiting macrophage-mediated iron uptake. This study evaluated the diagnostic performance of SPIO-enhanced MRI in differentiating metastatic from reactive hyperplastic lymph nodes and explored the association between MRI signal characteristics and Vascular Endothelial Growth Factor C (VEGF-C) expression. Methods: Sixty female breast cancer patients (January-May 2024) underwent preoperative plain and SPIO-enhanced MRI (Resovist, 0.2 mL/kg, 12-h delay). Among 112 harvested lymph nodes, Hematoxylin and Eosin staining, Prussian Blue staining, and VEGF-C immunohistochemistry were performed. The Percentage of Signal Intensity Loss (PSIL) was calculated on T2*-weighted images. The primary diagnostic analysis was patient-level using mean PSIL with receiver operating characteristic analysis. Results: < 0.001). Conclusion: SPIO-enhanced MRI demonstrated favorable diagnostic performance for differentiating metastatic from reactive hyperplastic lymph nodes at the patient level. The imaging characteristics were associated with supportive histopathological findings and VEGF-C expression patterns. These findings warrant validation in larger, multicenter studies using currently available iron oxide agents.

Frontiers in MedicineVol. 13
Nanchang University (CN), Queen's University (CA), First Affiliated Hospital of Jiangxi Medical College (CN), Jiangxi Provincial People's Hospital (CN), Second Affiliated Hospital of Nanchang University (CN), Third Hospital of Nanchang (CN), Second Hospital of Nanchang (CN), Xiangshan County First People's Hospital (CN), First Affiliated Hospital of Nanchang University (CN)
Good health and well-being
Openalex Percentile: Top 19%
Breast Cancer Treatment Studies
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