Implementing a Machine Learning Strategy to Predict Pathologic Response in Patients With Soft Tissue Sarcomas Treated With Neoadjuvant Chemotherapy.

Amandine CrombéSophie CousinMariella Spalato Ceruso François Le LoarerMaud ToulmondeAudrey MichotMichèle KindEberhard StoeckleAntoine Italiano

Published in: JCO clinical cancer informatics (2021)

Histologic response to NAC improves the prediction of MFS in patients with soft tissue sarcoma and represents a possible end point in future studies exploring innovative regimens in the neoadjuvant setting.

Keyphrases

neoadjuvant chemotherapy
locally advanced
soft tissue
machine learning
lymph node
rectal cancer
squamous cell carcinoma
sentinel lymph node
radiation therapy
transcription factor
current status
artificial intelligence
high grade
big data
quality improvement
case control
deep learning