Sentinel lymph nodes(SLN) status is one of the most important indicators affecting breast cancer patient treatment and prognostic. Thus, a non-invasive diagnostic method capable of accurately predicting of the SLN status is of great value in selecting breast cancer patients who would benefit from therapy. In this study, we investigate the diagnostic performance of different SLN status [pN0, pN0 (i+), pN1mi, and pN1] using dynamic contrast-enhanced (DCE) MRI. We found that (1) Krans, Kep, and Ve are significantly different in different SLN status, (2) and the Ktrans is the best single parameter for the detection of SLN status.
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Xiao et al. (2024) studied this question.
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