Suspicious Axillary Lymph Nodes Identified on Clinical Breast MRI in Patients Newly Diagnosed with Breast Cancer
Autor: | Sana Parsian, Habib Rahbar, Savannah C. Partridge, Constance D. Lehman, Jane L. Conlin, Wendy B. DeMartini, Sue Peacock |
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Rok vydání: | 2015 |
Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Axillary lymph nodes business.industry Magnetic resonance imaging medicine.disease Axilla medicine.anatomical_structure Breast cancer Biopsy Medicine Breast MRI Radiology Nuclear Medicine and imaging Radiology Differential diagnosis business Diffusion MRI |
Zdroj: | Academic Radiology. 22:430-438 |
ISSN: | 1076-6332 |
DOI: | 10.1016/j.acra.2014.10.010 |
Popis: | Rationale and Objectives To determine whether quantitative dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) magnetic resonance imaging (MRI) features can discriminate malignant from benign axillary lymph nodes (ALNs) identified as suspicious on clinical breast MRI in patients newly diagnosed with breast cancer. Materials and Methods After approval from institutional review board, all clinical breast MR examinations performed from March 2006 through January 2010 describing at least one morphologically suspicious ipsilateral ALN in patients with newly diagnosed breast cancer were identified. Each suspicious ALN underwent ultrasound-guided core needle biopsy, and nodes with benign results were subsequently sampled surgically. Quantitative DCE and DW MRI parameters (diameters, volume, enhancement kinetics, and apparent diffusion coefficients [ADC]) were measured for each suspicious ALN and a representative contralateral normal node, and each feature was compared between the ALN groups (normal, benign, and malignant). Results Thirty-four suspicious ALNs (18 malignant and 16 benign) and 34 contralateral normal-appearing ALNs were included. Suspicious malignant and benign nodes exhibited larger size, greater volume, and lower ADCs than normal ALNs ( P P = .02). Conclusions In ALNs deemed morphologically suspicious on breast MRI, quantitative MRI features show little value in identifying those with malignant etiology. |
Databáze: | OpenAIRE |
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