Axillary lymph node metastases in breast cancer: preoperative detection with dynamic contrast-enhanced MRI
Autor: | Kjell Arne Kvistad, H. B. Smethurst, H. E. Fjøsne, Olav Haraldseth, S. Lundgren, Jana Rydland |
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Rok vydání: | 2000 |
Předmět: |
Adult
Gadolinium DTPA medicine.medical_specialty Axillary lymph nodes Contrast Media Breast Neoplasms Malignancy Sensitivity and Specificity Breast cancer Humans Medicine Radiology Nuclear Medicine and imaging Lymph node Aged Neoplasm Staging business.industry Axillary Lymph Node Dissection General Medicine Middle Aged medicine.disease Magnetic Resonance Imaging Axilla medicine.anatomical_structure Lymphatic Metastasis Dynamic contrast-enhanced MRI Lymph Node Excision Female Lymph Nodes Radiology Lymph business |
Zdroj: | European Radiology. 10:1464-1471 |
ISSN: | 1432-1084 0938-7994 |
DOI: | 10.1007/s003300000370 |
Popis: | Metastatic involvement of axillary lymph nodes is one of the most important prognostic variables in breast cancer. The aim of our work was to study the value of dynamic contrast-enhanced MR imaging in revealing axillary lymph node metastases from breast cancer. A total of 65 patients with invasive breast cancer treated with axillary lymph node dissection were preoperatively evaluated by MRI. T1-weighted dynamic contrast-enhanced 3D images were acquired using a coil covering the breast and the axilla. The dynamic contrast enhancement, size, and morphology of the axillary lymph nodes were registered. Histopathological examination revealed axillary lymph node metastases in 24 patients. When using a signal intensity increase in the lymph nodes of > 100 % during the first postcontrast image as a threshold for malignancy, 57 of 65 patients were correctly classified (sensitivity 83 %, specificity 90 %, accuracy 88 %). These results were not improved when lymph node size and morphology were used as additional criteria. Axillary lymph nodes can be evaluated as a part of an MR-mammography study without substantial increase in examination time, and provide the surgeon with knowledge about the localization of possible metastatic lymph nodes. |
Databáze: | OpenAIRE |
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