The study consists in the retrospective and prospective collection of imaging data (along with clinical information related to treatment) of skull-base chordoma patients treated with particle therapy, to derive imaging biomarkers which, integrated with advanced mathematical models, will allow predicting treatment outcome on a multi-scale basis.
The study design consists of the retrospective collection of routinely-acquired data (CT, MRI and dose maps, along with relevant clinical information) and the prospective acquisition of optimized non-invasive MR imaging data, of skull-based chordoma patients treated with particle therapy (PT) at the National Center for Oncological Hadrontherapy (CNAO, Pavia, Italy). This data will be stored in a proper repository under CNAO's control, shared with Politecnico di Milano through encrypted channels, and it will be used to implement mathematical models able to predict treatment outcome at different scales (macroscopic, microscopic and radiobiological).
Study Type
OBSERVATIONAL
Enrollment
35
Diffusion MRI sequences will be optimized to derive more accurate estimates of microstructure and microvasculature of tumour and healthy organs: multiple b-values will be acquired and advanced diffusivity models considered. MRI sequences to derive tumour hypoxia (i.e. indicative of radioresistance) will be also considered along with MR spectroscopy to evaluate tumour microenvironment.
CNAO
Pavia, Pv, Italy
RECRUITINGcollect data from MRI acquisition
The prospective part of the study aims to collect data from MRI acquisition. It is not focused on patients treatment.
Time frame: 1 year from the treatment provided in routine clinical setting
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