Multiparametric Imaging of ORL Tumors

This project aimed to improve the image-based diagnosis and treatment of head and neck squamous cell carcinoma. Multiparametric imaging with morphological MRI, diffusion-weighted MRI (DW-MRI), dynamic contrast enhanced MRI (DCE-MRI) and PET may offer precise tumor and lymph node staging, improved risk stratification and effective management of patients with primary and recurrent head and neck cancer. Moreover, by combining multiparametric data, target volume delineation and biological dose painting for radiotherapy planning can be improved. The goal of this project was to improve tumor diagnosis and tailor therapeutic approaches in view of a personalized treatment strategy.

In this project, Artanim was in charge of 3D tumors reconstruction and participated in the development of an histologically validated computer-aided tumor model for the accurate contouring of gross tumor volume for radiotherapy planning.