Leveraging Artificial Intelligence and Radiomics for Improved Nasopharyngeal Carcinoma Prognostication.

Journal: Cancer medicine
PMID:

Abstract

INTRODUCTION: Nasopharyngeal carcinoma (NPC) typically presents as advanced disease due to the lack of significant symptoms in the early stages. Accurate prognostication is therefore challenging as current methods based on anatomical staging often lack the granularity to differentiate between patients with differing prognoses. This study investigates the potential of radiomics to improve the prediction of locoregional recurrence (LRR) and overall survival in patients with NPC.

Authors

  • Nicholas Brian Shannon
    Department of Sarcoma, Peritoneal and Rare Tumours (SPRinT), Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610, Singapore.
  • Narayanan Gopalakrishna Lyer
    Division of Surgery and Surgical Oncology, Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore.
  • Melvin Lee Kiang Chua
    Division of Radiation Oncology, National Cancer Centre Singapore, 11 Hospital Crescent, 169610, Singapore; Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Crescent, 169610, Singapore; Oncology Academic Clinical Program, Duke-NUS Medical School, 8 College Road, 169857, Singapore. Electronic address: melvin.chua.l.k@singhealth.com.sg.