Spots Global Cancer Trial Database for Feasibility of MRI Workflow Alone in External Radiotherapy for the Treatment of Brain and Prostate Tumors

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Trial Identification

Brief Title: Feasibility of MRI Workflow Alone in External Radiotherapy for the Treatment of Brain and Prostate Tumors

Official Title: Feasibility of MRI Workflow Alone in External Radiotherapy for the Treatment of Brain and Prostate Tumors

Study ID: NCT04704804

Conditions

Prostate Cancer

Brain Cancer

Interventions

Synthetic CT Scan

Study Description

Brief Summary: In radiotherapy, Magnetic Resonance Imaging (MRI) is used as a complement to the CT scanner because it provides better tissue contrast and therefore more precise delineations without the need for additional irradiation. However, MRI does not allow the definition of the electronic densities of the tissues necessary for dose calculation. In this work, we sought to measure the feasibility of a method for generating CT-synthetic images from MRI in terms of dosimetric and geometrical precision for the purpose of MRI workflow alone (see diagram). The cerebral sphere and the prostate are the two tumor locations considered. All patients will have a planning CT (reference) and an MRI in the treatment position. The contours of the structures will be contoured by a radiotherapist on both the MRI and the reference CT. Synthetic CTs will be generated from the MRI with the method of automatic assignment of densities in five classes. The volumes bypassed and the dosimetries performed will be compared. A study of the quality of the images generated from MRI for dose calculation and images for the verification of per-treatment positioning will be performed.

Detailed Description: This is a prospective single-center dosimetry study that exhaustively included brain tumor and prostate cancer patients treated at the ICO Site d'Angers by external radiotherapy and prior to which they were given an MRI and a simulation CT in treatment position over a 12-month period. For patients who agree to participate in the study, CT-synthetic images will be generated from the MRI images by automatic assignment of densities (5 classes). Reference CT images from CT and synthetic CT images from MRI will be available for comparison for all eligible patients.