Wave-CAIPI for Low Grade Glioma
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial tests new MRI software, Wave-CAIPI (Wave-Controlled Aliasing In Parallel Imaging), to enhance brain imaging for individuals with low-grade glioma, a type of brain tumor. The software aims to make MRI scans faster and clearer, potentially helping doctors better understand the condition. The trial includes two groups: one uses the software during regular MRI sessions, and the other undergoes a special research scan. Suitable participants include those diagnosed with low-grade glioma or healthy volunteers without metal implants or devices that could interfere with an MRI. As an unphased trial, this study offers a unique opportunity to advance MRI technology, potentially benefiting future patients.
Do I need to stop my current medications for this trial?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that this investigational software for MRI systems is safe?
Research has shown that Wave-CAIPI, a new software for MRI machines, is safe for people. Studies have found that this software reduces blurriness in images caused by movement, resulting in clearer pictures of small areas. Even if a person moves during an MRI, the images remain clear.
Another study found that Wave-CAIPI produces images similar in quality to standard methods but in less time, reducing the duration patients spend in the MRI machine. Although the images might be slightly less sharp, the benefits of clearer images despite movement and quicker scans are significant.
No reports of harmful effects from using Wave-CAIPI suggest that patients tolerate the software well.12345Why are researchers excited about this trial?
Researchers are excited about Wave-CAIPI for low-grade glioma because it offers a new way to enhance MRI imaging. Unlike standard MRI techniques, which can be time-consuming, Wave-CAIPI enables faster image acquisition, capturing high-resolution images in just 40-60 seconds per contrast. This means that doctors can obtain detailed images with greater efficiency, potentially improving diagnosis and treatment planning. Additionally, this technique allows for a 4-echo GE-SE time-series at different resolutions, providing more comprehensive data than traditional methods.
What evidence suggests that this investigational software is effective for processing MR images in low grade glioma?
Research shows that Wave-CAIPI can enhance MRI scans, particularly for brain imaging. In earlier studies, Wave-CAIPI cut scan times in half while still accurately identifying brain issues in children. Although image quality might be slightly lower, faster scans can be crucial in medical settings. In some cases, it even provided clearer details of certain brain problems compared to traditional methods. This trial will evaluate Wave-CAIPI in two groups: the Primary Testing Group and the Software Testing Group. This technology could make MRI scans quicker and possibly more detailed, which is important for diagnosing and monitoring conditions like low-grade gliomas.13467
Who Is on the Research Team?
Kawin Setsompop, PhD
Principal Investigator
Boston Children Hospital/ Massachusetts General Hospital
Are You a Good Fit for This Trial?
This trial is for infants, children, and adults diagnosed with Low Grade Glioma (LGG), as well as healthy volunteers of any age. Participants must be receiving treatment at DFCI to qualify.Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Imaging Session
Participants undergo MRI scans using investigational software and techniques to improve image quality
Software Testing
Participants receive an hour-long research-only scan to test the investigational software
Follow-up
Participants are monitored for safety and effectiveness of the imaging techniques
What Are the Treatments Tested in This Trial?
Interventions
- Wave-CAIPI
Find a Clinic Near You
Who Is Running the Clinical Trial?
Boston Children's Hospital
Lead Sponsor
Dana-Farber Cancer Institute
Collaborator
National Institute for Biomedical Imaging and Bioengineering (NIBIB)
Collaborator