CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

Journal: Journal of medical imaging and radiation oncology
Published Date: May 9, 2020

Abstract

INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict pathological response.

Authors

  • Zhigang Yuan
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Marissa Frazer
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Geoffrey G Zhang
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Kujtim Latifi
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Eduardo G Moros
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Vladimir Feygelman
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Seth Felder
    GI Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Julian Sanchez
    GI Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Sophie Dessureault
    GI Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Iman Imanirad
    GI Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Richard D Kim
    GI Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Louis B Harrison
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Sarah E Hoffe
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Jessica M Frakes
    Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.

Keywords

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