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Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.

Hikaru NemotoMasahide SaitoYoko SatohTakafumi KomiyamaKan MarinoShinichi AokiHidekazu SuzukiNaoki SanoHotaka NonakaHiroaki WatanabeSatoshi FunayamaHiroshi Onishi
Published in: Journal of applied clinical medical physics (2024)
We comprehensively evaluated the performance of prediction model developed for recurrence following SBRT. The model in this study would provide information to predict the recurrence pattern and assist in making treatment strategies.
Keyphrases
  • radiation therapy
  • machine learning
  • free survival
  • healthcare
  • positron emission tomography
  • magnetic resonance
  • artificial intelligence
  • big data
  • locally advanced