Machine learning to predict early recurrence after oesophageal cancer surgery.

Journal: The British journal of surgery
Published Date:

Abstract

BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This study aimed to develop a predictive model for early recurrence after surgery for oesophageal adenocarcinoma using a large multinational cohort and machine learning approaches.

Authors

  • S A Rahman
    Cancer Sciences Unit, University of Southampton, Southampton, UK.
  • R C Walker
    Cancer Sciences Unit, University of Southampton, Southampton, UK.
  • M A Lloyd
    Cancer Sciences Unit, University of Southampton, Southampton, UK.
  • B L Grace
    Cancer Sciences Unit, University of Southampton, Southampton, UK.
  • G I van Boxel
    Department of Surgery, University Medical Centre, Utrecht, the Netherlands.
  • B F Kingma
    Department of Surgery, University Medical Centre, Utrecht, the Netherlands.
  • J P Ruurda
    Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
  • R van Hillegersberg
    Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands. r.vanhillegersberg@umcutrecht.nl.
  • S Harris
    Department of Public Health Sciences and Medical Statistics, University of Southampton, Southampton, UK.
  • S Parsons
    Department of Surgery, Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • S Mercer
    Department of Surgery, Portsmouth Hospitals NHS Trust, Portsmouth, UK.
  • E A Griffiths
    Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • J R O'Neill
    Cambridge Oesophagogastric Centre, Addenbrookes Hospital, Cambridge University Hospitals Foundation Trust, Cambridge, UK.
  • R Turkington
    Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK.
  • R C Fitzgerald
    Hutchison/Medical Research Council Cancer Unit, University of Cambridge, Cambridge, UK.
  • T J Underwood
    Cancer Sciences Unit, University of Southampton, Southampton, UK.