A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Feb 1, 2018

Abstract

BACKGROUND AND PURPOSE: The gross tumour volume (GTV) is predictive of clinical outcome and consequently features in many machine-learned models. 4D-planning, however, has prompted substitution of the GTV with the internal gross target volume (iGTV). We present and validate a method to synthesise GTV data from the iGTV, allowing the combination of 3D and 4D planned patient cohorts for modelling.

Authors

  • Corinne Johnson
    Manchester Cancer Research Centre, Division of Molecular and Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, UK; The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, UK. Electronic address: corinne.johnson@physics.cr.man.ac.uk.
  • Gareth Price
    c The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust , Manchester , UK.
  • Jonathan Khalifa
    The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, UK; Department of Radiation Oncology, Institut Universitaire du Cancer de Toulouse - Oncopole, France.
  • Corinne Faivre-Finn
    c The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust , Manchester , UK.
  • Andre Dekker
    Department of Radiation Oncology (MAASTRO Clinic), Dr. Tanslaan 12, Maastricht, The Netherlands.
  • Christopher Moore
    Manchester Cancer Research Centre, Division of Molecular and Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, UK; The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, UK.
  • Marcel van Herk
    Manchester Cancer Research Centre, Division of Molecular and Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre, UK; The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, UK.

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