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Radiomics and dosiomics for predicting complete response to definitive chemoradiotherapy patients with oesophageal squamous cell cancer using the hybrid institution model.

Daisuke KawaharaYuji MurakamiShota AwaneYuki EmotoKazuma IwashitaHikaru KubotaRyohei SasakiYasushi Nagata
Published in: European radiology (2023)
• Radiomics and dosiomics used to predict response in patients with oesophageal cancer receiving definitive radiotherapy. • Hybrid model with neural network classifier of PET-based radiomics improved prediction accuracy by 8.1%. • The hybrid model has the potential to improve prediction performance.
Keyphrases
  • squamous cell
  • papillary thyroid
  • locally advanced
  • lymph node metastasis
  • neural network
  • early stage
  • radiation therapy
  • squamous cell carcinoma
  • magnetic resonance imaging
  • radiation induced
  • young adults