MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy

J.C. Peeken*, R. Asadpour, K. Specht, E.Y. Chen, O. Klymenko, V. Akinkuoroye, D.S. Hippe, M.B. Spraker, S.K. Schaub, H. Dapper, C. Knebel, N.A. Mayr, A.S. Gersing, H.C. Woodruff, P. Lambin, M.J. Nyflot, S.E. Combs

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)73-82
Number of pages10
JournalRadiotherapy and Oncology
Volume164
DOIs
Publication statusPublished - 1 Nov 2021

Keywords

  • Soft-tissue sarcoma
  • Delta radiomics
  • Neoadjuvant radiotherapy
  • Machine learning
  • Response prediction
  • MRI
  • EUROPEAN ORGANIZATION
  • FEATURE-SELECTION
  • CANCER
  • CHEMOTHERAPY
  • EXTREMITY
  • SURVIVAL
  • NECROSIS
  • FEATURES
  • MODEL

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