Diagnostic value of dynamic contrast-enhanced magnetic resonance imaging for axillary lymphnode metastasis in breast cancer patients with low HER-2 expression(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2025年第4期
- Page:
- 466-470
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Diagnostic value of dynamic contrast-enhanced magnetic resonance imaging for axillary lymphnode metastasis in breast cancer patients with low HER-2 expression
- Author(s):
- ZHU Xue1; LI Keke1; LIU Ying2; MA Wenjuan3; DONG Hongwei2
- 1. Department of Imaging, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China; 2. Department ofRadiotherapy, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China; 3. Department of Radiology, QinghaiProvincial People’s Hospital, Xi’ning 810000, China
- Keywords:
- dynamic contrast-enhanced magnetic resonance imaging; breast cancer; low HER-2 expression; axillary lymphnode metastasis
- PACS:
- R816.91
- DOI:
- 10.3969/j.issn.1005-202X.2025.04.007
- Abstract:
- Objective To evaluate the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in thediagnosis of axillary lymph node metastasis (ALNM) in breast cancer patients with low HER-2 expression. Methods A totalof 297 breast cancer patients with low HER-2 expression treated at the Affiliated Hospital of Xuzhou Medical Universitywere enrolled and divided into ALNM group (n=71) and non-ALNM group (n=226) according to whether there was ALNM.All patients underwent DCE-MRI, and DCE-MRI derived parameters were collected and analyzed. Logistic regressionanalysis was used to identify the risk factors for ALNM, and the efficacy of DCE-MRI in diagnosing ALNM was assessedusing receiver operating characteristic curve. Results Significant differences were observed between two groups in lesiondistribution, TNM staging, vascular invasion, and most DCE-MRI derived parameters including short-to-long axis ratio, Ve,Ktrans, Kep, ADC and SER (all P<0.05). Multivariate regression analysis revealed that the short-to-long axis ratio, Ve, Ktrans, Kep,ADC and SER were significant risk factors for ALNM in breast cancer patients. Comparative analysis demonstrated that thecombination of DCE-MRI derived parameters yielded a maximum area under the curve of 0.976, with a sensitivity of 91.5%and a specificity of 92.9%. Conclusion DCE-MRI is an effective tool for determining the presence of ALNM in breast cancerpatients with low HER-2 expression, providing significant diagnostic evidence for clinical practice.
Last Update: 2025-04-30