Evidence map›Paper›PMID 42100288›Full record

ArticleFrontiers in medicine2026

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

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

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tao WuDepartment of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Angela WuDepartment of Health Sciences, Queen's University, Kingston, ON, Canada.
Hui XiongSchool of Medical Imaging, Nanchang Medical College, Nanchang, Jiangxi, China.
Jiaying DengDepartment of Neonatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Zhewen ZhangDepartment of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Dan GongDepartment of Pathology, Nanchang People's Hospital, Nanchang, Jiangxi, China.
Jun LuoFirst Department of Internal Medicine, Xiajiang County People's Hospital, Xiajiang, Jiangxi, China.
Dan WuSchool of Medical Imaging, Nanchang Medical College, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: Of 112 lymph nodes from 60 patients, 47 were metastatic and 65 reactive hyperplastic. Reactive nodes showed marked signal attenuation (mean PSIL 64.7 ± 12.0%) compared with metastatic nodes (11.6 ± 7.8%; 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.

Indexed as

breast neoplasmslymphatic metastasismagnetic resonance imagingsuperparamagnetic iron oxidevascular endothelial growth factor C

Identifiers

PMID42100288
PMCPMC13143616

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