Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off-the-shelf features: A dual-dataset study.

Journal: Journal of applied clinical medical physics
PMID: 40025635

Abstract

BACKGROUND: This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image-based HPV prediction methods are hindered by high computational demands or suboptimal performance.

Authors

  • Junhua Chen
    Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, 6229 ET, The Netherlands.
  • Yanyan Cheng
    Medical Engineering Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.
  • Lijun Chen
    Department of Obstetrics and Gynecology Qilu Hospital Cheeloo College of Medicine Shandong University Jinan Shandong China.
  • Banghua Yang
    School of Mechatronic Engineering and Automation, Research Center of Brain Computer Engineering, Shanghai University, Shanghai, 200444, China. yangbanghua@126.com.

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