3D Printed Mask for GBM and Brain Mets
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|ClinicalTrials.gov Identifier: NCT04114786|
Recruitment Status : Recruiting
First Posted : October 3, 2019
Last Update Posted : April 2, 2021
This is a single site, investigator initiated study that aims to explore the feasibility of using a personalized 3D printed immobilization mask for CNS patients undergoing radiation therapy.
For the purpose of this study, patients will undergo the standard CT SIM, and MR SIM necessary for radiation therapy, creating the masks from the MRIs. Prior to the start of their treatment, patients will have an additional CT scan with the 3D printed mask to confirm safety and treatment accuracy. Patients will then proceed with their standard radiation therapy, immobilized with the mask. There will be a control group that will be treated with the standard thermoplastic mask, as a comparison measure. Both groups will complete a mask tolerability questionnaire throughout the course of their treatment to capture the level of discomfort patients may feel with either masks.
|Condition or disease||Intervention/treatment||Phase|
|Brain Cancer||Device: 3D-printed mask Device: Thermoplastic mask||Not Applicable|
All patients referred for radiotherapy have had a previous diagnostic imaging study (CT-scan or more commonly MRI) showing the disease at the central nervous system (CNS). Moreover, after surgical biopsy or resection, many Centers perform repeated post-operative imaging. Despite all prior imaging, when radiotherapy treatment is decided, all patients undergo another imaging study (CT simulation [CT-sim]) in which patient's head is placed in a reproducible position, and endure a moulding procedure to create a personalized plastic mask for securing the patient's head in a fixed position during the CT acquisition, and reproduced at the subsequent radiation treatment sessions. Typical wait times between moulding, CT-sim and the first radiation treatment is 3-7 days. If a method would be available to accurately recreate the patient's position during diagnostic imaging and reproduce it during radiation treatments without the need for a moulding session or CT-sim, the treatment process can be streamlined and wait times shortened for patients.
Previous studies using 3D printing technology in radiotherapy (such as brachytherapy applicators) have shown that these employed materials are safe for use in clinical settings, and 3D printers can accurately produce devices of various shapes and sizes for clinical use.
In this study, we propose a novel workflow in which patient's position at diagnostic imaging is reproduced with a 3D-printed patient-specific immobilization device, enabling the use of the same diagnostic imaging for planning purposes in lieu of dedicated simulation and moulding sessions, to decrease wait times for patients between diagnostic imaging and start of radiation treatment.
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||50 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||None (Open Label)|
|Official Title:||MRI-based Immobilization and Planning: A Feasibility Study of a Novel Inverse Method for CNS Radiotherapy|
|Actual Study Start Date :||September 26, 2019|
|Estimated Primary Completion Date :||April 2022|
|Estimated Study Completion Date :||April 2022|
Experimental: 3D-printed mask
Patients will undergo the standard CT SIM, and MR SIM necessary for radiation therapy, creating the masks from the MRIs. Prior to the start of their treatment, patients will have an additional CT scan with the 3D printed mask to confirm safety and treatment accuracy. Patients will then proceed with their standard radiation therapy, immobilized with the mask.The group will complete a mask tolerability questionnaire throughout the course of their treatment to capture the level of discomfort patients may feel with either masks.
Device: 3D-printed mask
After patient is enrolled to the study, patients will have CT Sim. MR Sim (used to create 3D printed mask for intervention arm only) CT sim repeat (for intervention arm only) before start of radiation Patients will be asked to fill out a questionnaire after each CT Scan, and during the first and last week of radiation treatment
Active Comparator: Control group
Control group that will be treated with the standard thermoplastic mask, as a comparison measure. The group will complete a mask tolerability questionnaire throughout the course of their treatment to capture the level of discomfort patients may feel with either masks.
Device: Thermoplastic mask
Patients will undergo standard of care simulation, planning and treatment with conventional workflow using thermoplastic mask.They will complete the tolerability questionnaire after CT-sim, and towards the end of the first and last week of treatment.
- Treatment planning time [ Time Frame: Baseline to week 1 ]Overall treatment planning time: from planning MRI acquisition to first treatment session delivery.
- 3D-mask confection time [ Time Frame: Baseline to week 1 ]3D-mask confection time during radiation therapy
- Inter- and intra-fraction motion [ Time Frame: Baseline to week one ]Inter- and intra-fraction motion during radiation therapy
- Patient reported adverse events and tolerability of mask [ Time Frame: First scan through to end of radiation treatment, an average 8 weeks ]CT-simulation, first and last week of radiation treatment
- Gamma values and histograms for MRI-based plans [ Time Frame: First scan through to end of radiation treatment, an average 8 weeks ]Gamma values and histograms for MRI-based plans of Planning MRI and Radiation treatment
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04114786
|Contact: Alejandro Berlin, MD||416-946-4501 ext firstname.lastname@example.org|
|Princess Margaret Cancer Centre||Recruiting|
|Toronto, Ontario, Canada, M5G 2M9|
|Contact: Alejandro Berlin, MD 416-946-4501 ext 5813 email@example.com|
|Principal Investigator: Alejandro Berlin, MD|
|Principal Investigator:||Alejandro Berlin, <D||Princess Margaret|