MR-sequence optimization and workflow development for treatment guidance, using the integrated MR scanner of the MR-Linac system. Towards MR-guided adaptive radiation therapy.

Recruiting

Conditions: cancer
tumour
10027655

Registration Number: NL-OMON46910

Lead Sponsor: Antoni van Leeuwenhoek Ziekenhuis

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Recruiting

Sex: Not specified

Target Recruitment: 150

Inclusion Criteria

Patients with histologically proven carcinoma of the prostate, rectum, esophagus, lung, breast, head and neck, gastric-, bladder- anal and gynaecological cancer, liver- and soft tissue oligo-metastases (adrenal glands, abdominal lymph nodes), brain tumors and sarcoma patients will be included.

Exclusion Criteria

Contra*indications for a MRI examination
Patients with previous allergic reaction to infusion of contrast media (Gadolinium-based)
Patients with WHO performance status >2
Claustrophobia
Patients >140 kg and/or a body with > 60 cm

Study & Design

Study Type: Interventional

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>To optimize MR-sequence protocols for MR-guided radiotherapy, using the<br /><br>integrated Phillips MRI scanner of the MRL system</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>• Demonstrate the feasibility of acquiring clinically usable images with clear<br /><br>visualization of the tumor and organs at risk (OAR) for image guidance with the<br /><br>MRI scanner integrated in the MRL system.<br /><br>• Selection of optimum imaging sequences for image-registration and<br /><br>(auto)contouring of the tumor and OAR for adaptive re-planning.<br /><br>• To monitor changes in target volume, target position and<br /><br>inter-/intra-fraction motion of the tumor and OAR during radiotherapy with<br /><br>serial MR images, to establish the need of adaptive re-planning during the<br /><br>course of treatment on an MRL.<br /><br>• To establish an estimate on the variation in functional MRI parameters during<br /><br>radiation therapy.<br /><br>• To develop an optimal MRL workflow for online MRI-guided adaptive<br /><br>radiotherapy.</p><br>