Multiparametric Imaging in Head and Neck Cancer

Summary

Multiparametric and Quantitative Imaging in Head and Neck Squamous Cell Carcinoma investigates how advanced medical imaging can improve the diagnosis, staging and treatment planning of head and neck squamous cell carcinoma.

The project combines morphological MRI, diffusion-weighted MRI (DW-MRI), dynamic contrast-enhanced MRI (DCE-MRI) and PET to provide complementary information on tumors and lymph nodes. By integrating these multiparametric imaging data, the research aims to improve tumor characterization, risk stratification and the management of both primary and recurrent disease.

The imaging information is also used to improve target volume delineation and biological dose painting for radiotherapy, supporting more personalized treatment strategies based on the characteristics of each patient and tumor.

Within the project, Artanim was responsible for the 3D reconstruction of tumors and contributed to the development of a histologically validated computer-assisted tumor model for accurate gross tumor volume delineation in radiotherapy planning.

Partners

Minerva Becker – University Hospitals of Geneva, Division of Radiology
Imaging, data analysis, radiologic-pathologic correlation and project coordination.

Caecilia Charbonnier – Artanim
3D tumor reconstruction and development of the computer-assisted tumor model.

Habib Zaidi – University Hospitals of Geneva, Division of Nuclear Medicine and Molecular Imaging
PET image segmentation and methodological support.

Marc Pusztaszeri – University of Geneva / University Hospitals of Geneva, Clinical Pathology
Pathological evaluation and radiologic-pathologic correlation.

Pavel Dulguerov – University Hospitals of Geneva, Otorhinolaryngology
Surgical dissection of tumor specimens and radiologic-pathologic correlation.