Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Journal: Annals of oncology : official journal of the European Society for Medical Oncology
Published Date: Jun 1, 2019

Abstract

INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algorithms can automatically quantify radiographic characteristics that are related to and may therefore act as noninvasive radiomic biomarkers for immunotherapy response.

Authors

  • S Trebeschi
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; GROW School of Oncology and Developmental Biology, Maastricht, The Netherlands; Departments of Radiation Oncology; Radiology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • S G Drago
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; Department of Radiology, Milano-Bicocca University, San Gerardo Hospital, Monza, Italy.
  • N J Birkbak
    The Francis Crick Institute, London; University College London, London, UK; Department of Molecular Medicine, Aarhus University, Aarhus, Denmark.
  • I Kurilova
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; GROW School of Oncology and Developmental Biology, Maastricht, The Netherlands.
  • A M Cǎlin
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; Affidea Romania, Cluj-Napoca, Romania.
  • A Delli Pizzi
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; ITAB Institute for Advanced Biomedical Technologies, University G. d'Annunzio, Chieti, Italy.
  • F Lalezari
    Department of Radiology, Netherlands Cancer Institute, Amsterdam.
  • D M J Lambregts
    Department of Radiology, Netherlands Cancer Institute, Amsterdam.
  • M W Rohaan
    Departments of Medical Oncology.
  • C Parmar
    Departments of Radiation Oncology; Radiology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • E A Rozeman
    Departments of Medical Oncology.
  • K J Hartemink
    Surgery.
  • C Swanton
    The Francis Crick Institute, London; University College London, London, UK.
  • J B A G Haanen
    Departments of Medical Oncology.
  • C U Blank
    Departments of Medical Oncology.
  • E F Smit
    Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • R G H Beets-Tan
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; GROW School of Oncology and Developmental Biology, Maastricht, The Netherlands.
  • H J W L Aerts
    Department of Radiology, Netherlands Cancer Institute, Amsterdam; Departments of Radiation Oncology; Radiology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA. Electronic address: Hugo_Aerts@dfci.harvard.edu.

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