An evaluation of MR based deep learning auto-contouring for planning head and neck radiotherapy.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Feb 24, 2021

Abstract

INTRODUCTION: Auto contouring models help consistently define volumes and reduce clinical workload. This study aimed to evaluate the cross acquisition of a Magnetic Resonance (MR) deep learning auto contouring model for organ at risk (OAR) delineation in head and neck radiotherapy.

Authors

  • C Hague
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Christina.hague@nhs.net.
  • A McPartlin
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Andrew.mcpartlin@nhs.net.
  • L W Lee
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: lipwai.lee@nhs.net.
  • C Hughes
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: christopher.hughes@christie.nhs.uk.
  • D Mullan
    Department of Radiology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Damian.mullan@nhs.net.
  • W Beasley
    Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: w.beasley@nhs.net.
  • A Green
    Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Andrew.green-2@manchester.ac.uk.
  • G Price
    Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Gareth.price@manchester.ac.uk.
  • P Whitehurst
    Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Philip.whitehurst1@nhs.net.
  • N Slevin
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
  • M van Herk
    Manchester Cancer Research Centre, Division of Cancer Sciences, University of Manchester, United Kingdom.
  • C West
    Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Catharine.west@manchester.ac.uk.
  • R Chuter
    Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Robert.chuter@nhs.net.

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