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May 2, 2024Cancer Research

Abstract PO3-07-07: Predictive Modeling for Identifying Breast Cancer Patients Eligible for Axillary Lymph Node Dissection Exemption Following Neoadjuvant Therapy: A Longitudinal MRI-based Radiomics and Deep Learning Features Analysis

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Authors

YYYushuai YuJYJialu YiRCRuiliang Chen

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Yu et al. (2024) studied this question.

synapsesocial.com/papers/68e6be8eb6db64358763e412https://doi.org/10.1158/1538-7445.sabcs23-po3-07-07
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data2024 · 31 citations
  2. 2Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study2024 · 26 citations
  3. 3Prediction of breast cancer and axillary positive-node response to neoadjuvant chemotherapy based on multi-parametric magnetic resonance imaging radiomics models2024 · 20 citations
  4. 4Abstract PS3-06-27: Deep Learning to Predict Pathological Complete Response in Patients Receiving NAC using Pre-treatment Clinical and Imaging Features2026
  5. 5Multichannel deep learning using multiregional DCE-MRI to predict axillary pathological complete response after neoadjuvant chemotherapy in breast cancer2026