MRI-based habitat radiomics for preoperative prediction of axillary pathological complete response in breast cancer after neoadjuvant therapy: a multicenter study - Summary - MDSpire
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MRI-based habitat radiomics for preoperative prediction of axillary pathological complete response in breast cancer after neoadjuvant therapy: a multicenter study
To develop and validate a preoperative MRI-based habitat radiomics nomogram for noninvasive prediction of axillary pathological complete response (apCR) after neoadjuvant therapy (NAT) in node-positive breast cancer, highlighting its significance in treatment planning.
Key Findings:
A total of 336 women were included in the study.
The nomogram achieved an AUC of 0.845 in the training cohort, outperforming radiomics and habitat models (AUCs of 0.723 and 0.765, respectively).
In validation cohorts, the nomogram maintained high AUCs of 0.755 and 0.754.
Calibration analysis showed good agreement between predicted and observed apCR.
Interpretation:
The MRI-based habitat radiomics nomogram demonstrates promising performance for predicting apCR, potentially aiding in individualized axillary risk stratification in node-positive breast cancer patients and impacting clinical decision-making.
Limitations:
Retrospective design may introduce selection bias.
Single-center and multicenter data may have variability in imaging protocols, affecting generalizability.
Conclusion:
The proposed nomogram may assist in noninvasive preoperative prediction of apCR after NAT, supporting personalized treatment strategies in breast cancer.
