Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer


Humbert-Vidan L., Patel V., Oksuz I. , King A. P. , Urbano T. G.

BRITISH JOURNAL OF RADIOLOGY, vol.94, no.1120, 2021 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 94 Issue: 1120
  • Publication Date: 2021
  • Doi Number: 10.1259/bjr.20200026
  • Title of Journal : BRITISH JOURNAL OF RADIOLOGY

Abstract

Objectives: Mandible osteoradionecrosis (ORN) is one of the most severe toxicities in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). The existing literature focuses on the correlation of mandible ORN and clinical and dosimetric factors. This study proposes the use of machine learning (ML) methods as prediction models for mandible ORN incidence.