Predictive value of multiparametric magnetic resonance imaging combined with pathological biomarkers for axillary lymph node metastasis of breast cancer.

ABSTRACT:

Background

Detection of metastases in axillary lymph nodes (ALNs) is of vital significance for determining appropriate therapeutic strategies and prognosis for breast cancer patients. Studies combining multiparametric magnetic resonance imaging (MRI) and pathological biomarkers for predicting ALN metastasis in breast cancer are rarely reported. This study aimed to evaluate the predictive value of conventional MRI features, intravoxel incoherent motion (IVIM), quantitative dynamic contrast-enhanced MRI (DCE-MRI), and pathological biomarkers for ALN metastasis in breast cancer patients.

Methods

In total, 149 subjects with breast cancer confirmed via pathology were recruited for study. Among the participants, patients were randomly allocated to the training cohort (42 and 62 pr

SUBMITTER: Zhao F 

PROVIDER: S-EPMC12552584 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature