Radiomics-Based Prediction of Long-Term Treatment Response of Vestibular Schwannomas Following Stereotactic Radiosurgery

Patrick P. J. H. Langenhuizen*, Svetlana Zinger, Sieger Leenstra, Henricus P. M. Kunst, Jef J. S. Mulder, Patrick E. J. Hanssens, Peter H. N. de With, Jeroen B. Verheul

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)E1321-E1327
Number of pages7
JournalOtology & Neurotology
Volume41
Issue number10
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Machine learning
  • Magnetic resonance imaging
  • Radiomics
  • Stereotactic radiosurgery
  • Treatment prediction
  • Tumor texture
  • Vestibular schwannoma
  • GAMMA-KNIFE RADIOSURGERY
  • SURGERY
  • MANAGEMENT
  • FEATURES
  • OUTCOMES
  • MR
  • RADIONECROSIS
  • PROGRESSION
  • RESECTION
  • EFFICACY

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