Unknown

Dataset Information

Development and External Validation of a PET Radiomic Model for Prognostication of Head and Neck Cancer.


ABSTRACT:

Aim

To build and externally validate an [18F]FDG PET radiomic model to predict overall survival in patients with head and neck squamous cell carcinoma (HNSCC).

Methods

Two multicentre datasets of patients with operable HNSCC treated with preoperative afatinib who underwent a baseline and evaluation [18F]FDG PET/CT scan were included (EORTC: n = 20, Unicancer: n = 34). Tumours were delineated, and radiomic features were extracted. Each cohort served once as a training and once as an external validation set for the prediction of overall survival. Supervised feature selection was performed using variable hunting with variable importance, selecting the top two features. A Cox proportional hazards regression model using selected radiomic features and clinica

SUBMITTER: Noortman WA 

PROVIDER: S-EPMC10216021 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature