Multiparametric Imaging of ORL TumorsContouring for radiotherapy planning
Swiss National Funds (SNF)
HUG – Division of Radiology
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.
University Hospitals of Geneva – Division of Radiology
Imaging, data analysis, radiologic-pathologic correlation and project coordination
3D reconstruction and development of a tumor model
University Hospitals of Geneva – Division of Nuclear Medicine
Segmentation of PET images and methodological support
University of Geneva – Division of Clinical Pathology
Pathological evaluation and radiologic-pathologic correlation
University Hospitals of Geneva – Clinic of Otorhinolaryngology
Surgical dissection of tumor specimen and radiologic-pathologic correlation