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Clinical Trial Summary

The radiotherapy treatment plan (also called dosimetry) used for all treatment sessions is based on the dosimetric scanner. During the sessions, the anatomy of the breast may vary, and these variations may impact the quality of the treatment. Adaptive radiotherapy is a new technique that allows these changes to be taken into account during treatment by automatically rescheduling the treatment for each session. The proposed trial aims to clinically evaluate one of these adaptive radiotherapy tools (PreciseART) based on deformable registration in order to determine if it can be used in daily practice in the treatment of breast cancer by tomotherapy. The trial will also clarify whether factors, such as duration of treatment, impact the quality of this algorithm.


Clinical Trial Description

The dosimetric scanner needed to calculate the dose to be delivered to the tissues will be carried out according to the standard practice. The treatment plan will be carried out by the physicist in accordance with the dose constraints and validated by the radiation therapist. Each treatment session is preceded by positioning imaging to ensure high precision in the treated area. During the first session, the acquisition of the positioning scanner will take into account the entire region of the target volume in accordance with the classic treatment protocol. Usually, the positioning scans of the remaining sessions are carried out on a smaller area around the operating bed in order to reduce the acquisition time. However, in the context of this study, mid- and end-of-treatment positioning scans will be acquired over the same exploration range as on the first day. These scanners will make it possible to compare the contouring work carried out manually by the radiotherapist and that obtained by the deformable registration algorithm. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05383144
Study type Observational
Source Institut de cancérologie Strasbourg Europe
Contact
Status Completed
Phase
Start date June 27, 2022
Completion date April 4, 2023

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