What question did this study set out to answer?

To develop and validate a dynamic contrast-enhanced MRI (DCE-MRI) radiomics machine learning model to predict axillary lymph node metastasis in breast cancer prior to treatment.

February 1, 2025Gland SurgeryOpen Access

DCE-MRI-based machine learning model for predicting axillary lymph node metastasis in breast cancer

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Authors

QZQian ZhangHarvard University YLYang Lou XLXiaofeng LiuNanyang Normal University

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Implication

Retrospective study demonstrates accurate prediction of axillary lymph node metastasis in breast cancer using DCE-MRI radiomics, highlighting its potential for noninvasive staging.

Key Points

To develop and validate a dynamic contrast-enhanced MRI (DCE-MRI) radiomics machine learning model to predict axillary lymph node metastasis in breast cancer prior to treatment.
Analyzed pre-treatment DCE-MRI scans from 166 patients with pathologically confirmed breast cancer (January 2017 to August 2020), randomly assigned to training and test sets at a 7:3 ratio.
Extracted 7,224 two-dimensional (2D) and 9,863 three-dimensional (3D) radiomic features across pre- and post-enhancement phases, utilizing the LASSO algorithm to construct predictive models alongside clinical parameters.
The 3D radiomics-based model yielded a mean AUC of 82%, accuracy of 82%, sensitivity of 83%, and specificity of 81% during 10-fold cross-validation.
The integrated model combining radiomic and clinical features achieved an AUC of 90%, a C-index of 90%, an accuracy of 84%, a sensitivity of 77%, and a specificity of 91%.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6a73c0cbcd7b40c8110dd1bc https://doi.org/10.21037/gs-2024-495

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Implication

Retrospective study demonstrates accurate prediction of axillary lymph node metastasis in breast cancer using DCE-MRI radiomics, highlighting its potential for noninvasive staging.

DCE-MRI-based machine learning model for predicting axillary lymph node metastasis in breast cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

DCE-MRI-based machine learning model for predicting axillary lymph node metastasis in breast cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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