Metabolic tumor constitution is superior to tumor regression grading for evaluating response to neoadjuvant therapy of esophageal adenocarcinoma patients

A. Buck, V.M. Prade, T. Kunzke, A. Feuchtinger, D. Kroll, M. Feith, B. Dislich, B. Balluff, R. Langer*, A. Walch*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)
Original languageEnglish
Pages (from-to)202-213
Number of pages12
JournalJournal of Pathology
Volume256
Issue number2
Early online date4 Dec 2021
DOIs
Publication statusPublished - Feb 2022

Keywords

  • esophageal cancer
  • spatial metabolomics
  • imaging mass spectrometry
  • patient stratification
  • metabolic response evaluation
  • tumor regression grading
  • artificial intelligence
  • machine learning
  • PREOPERATIVE CHEMORADIOTHERAPY
  • PERIOPERATIVE CHEMOTHERAPY
  • NODAL STATUS
  • CANCER
  • CARCINOMA
  • POLYMORPHISM
  • MULTICENTER
  • EXPRESSION
  • PET

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