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Prediction of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer with Metric Learning Using Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography.

Kuo-Chen WuShang-Wen ChenTe-Chun HsiehKuo-Yang YenKin-Man LawYu-Chieh KuoRuey-Feng ChangChia-Hung Kao
Published in: Cancers (2021)
The new ML model presented herein was used to determined that baseline 18F[FDG]-PET/CT images could predict a favorable response to NCRT in patients with rectal cancer. External validation is required to verify the model's predictive value.
Keyphrases
  • rectal cancer
  • positron emission tomography
  • locally advanced
  • computed tomography
  • pet ct
  • pet imaging
  • squamous cell carcinoma
  • deep learning
  • lymph node
  • convolutional neural network