Feeding the Data Monster: Data Science in Head and Neck Cancer for Personalized Therapy

摘要

Objective: Head and neck carcinomas are clinically challenging malignancies because of tumor heterogeneities and resilient tumor subvolumes that require individualized treatment planning and delivery for an improved outcome. Although current approaches to diagnosis and therapy have boosted locoregional control, the long-term survival in this patient group remains unchanged over the-last decades. A new approach to head and neck cancer management is therefore needed to better identify patient subgroups that ate responsive to specific therapies. The aim of this article is to review the current status of knowledge and practice utilizing big data toward personalized therapy in head and neck cancers based on CT and PET imaging modalities.