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Evaluation of axillary lymph node status in breast cancer with MRI

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Abstract

Background

We performed a retrospective study to establish the optimal radiological criteria for axillary lymph node metastases from breast cancer by measuring all dissected nodes, and to determine whether magnetic resonance imaging (MRI) could reliably reveal axillary involvement.

Methods

Pathological findings and MRI scans of 202 patients with invasive breast cancer were re-viewed. The long- and short-axis dimensions of all level I and II lymph nodes were measured micro-scopically, and then the long-to-short axis (L/S) ratio of each node was calculated. These parameters were compared with pathological nodal status to define radiological criteria for axillary involvement. MRI was carried out using T1-weighted spin-eho sequences in the coronal and sagittal planes. On MRI, every detected lymph node was measured and the shape of the nodal cortex was also examined. Then the diagnostic ability of MRI was assessed using these morphologic criteria.

Results

On histopathological examinations of 4043 dissected lymph nodes, a long-axis dimension of 10 mm or larger combined with a long-to-short axis ratio of less than 1.6 was the most accurate criteria for predicting lymph node metastases. On MRI, eccentric cortical hypertrophy was seen in only metas-tatic axillae. When these morphologic features were used as criteria for malignancy, MRI had a sensi-tivity of 79%, a specificity of 93%, and an accuracy of 88%. In 16 of 17 false-negative axillae, MRI showed normally sized lymph nodes (<10 mm).

Conclusion

Our study indicates that MRI is a useful diagnostic method for the evaluation of axillary nodal status, but is limited in the detection of small metastatic lymph nodes.

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Abbreviations

MRI:

Magnetic resonance imaging

US:

Ultrasonography

CT:

Computed tomography

L/S ratio:

Long-to-short axis ratio

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Yoshimura, G., Sakurai, T., Oura, S. et al. Evaluation of axillary lymph node status in breast cancer with MRI. Breast Cancer 6, 249–258 (1999). https://doi.org/10.1007/BF02967179

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  • DOI: https://doi.org/10.1007/BF02967179

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