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Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning.

Fabian HörstSaskia TingSven-Thorsten LiffersKelsey L PomykalaKatja SteigerMarkus AlbertsmeierMartin K AngeleSylvie LorenzenMichael QuanteWilko WeichertJan EggerJens Thomas SivekeJens Kleesiek
Published in: JCO clinical cancer informatics (2023)
Our results show that DL algorithms can predict treatment response to neoadjuvant chemotherapy using WSI with high accuracy even before therapy initiation, suggesting the presence of predictive morphologic tissue biomarkers.
Keyphrases
  • neoadjuvant chemotherapy
  • locally advanced
  • deep learning
  • lymph node
  • sentinel lymph node
  • machine learning
  • rectal cancer
  • squamous cell carcinoma
  • radiation therapy
  • stem cells
  • early stage