Ontology highlight
ABSTRACT: Background
Breast cancer is the most commonly diagnosed malignancy in women, and accurate preoperative assessment of axillary lymph node (ALN) status is pivotal for staging and treatment planning. However, conventional imaging has variable accuracy and sentinel lymph node biopsy (SLNB), though less invasive than ALN dissection (ALND), still entails morbidity, underscoring the need for non-invasive prediction. The objective of this study was to construct and validate a predictive nomogram that integrates multiphase dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived radiomics features with key clinical indicators, aiming to non-invasively estimate the likelihood of ALN metastasis (ALNM) in individuals diagnosed with breast cancer before surgical intervention.M
SUBMITTER: Wang M
PROVIDER: S-EPMC12596430 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature