New MRI Biomarkers in Head and Neck Cancers
This study is looking at new ways to use Magnetic Resonance Imaging (MRI) to get more information about head and neck cancers and thyroid cancers. MRI uses magnetic fields and radio waves to create detailed pictures of your body. This study will use special MRI techniques, including diffusion MRI, to see if they can help doctors understand how tumors respond to treatment. You would have MRI scans before treatment, and some patients receiving radiation therapy would have weekly scans during treatment. All participants would also have scans a few months after treatment finishes. The study aims to see if these new MRI methods can identify early signs of how well treatment is working.
- Study design
- This is an observational study, meaning participants will be monitored without receiving an experimental treatment. It plans to enroll 200 participants.
- What's involved
- You would have MRI scans before treatment, and some patients would have weekly scans during radiation therapy. All participants would also have scans two and four months after treatment completion.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will measure treatment response and look for biomarkers for one year after treatment.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
New MRI Biomarkers in Head and Neck Cancers
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Amita Dave, PhD · PRINCIPAL_INVESTIGATOR · Memorial Sloan Kettering Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- For group 1: number of patients that have biomarkers that maybe early response to therapy indicators1 year
The study is designed to determine if the MRI will provide quantitative imaging biomarkers to predict or assess early treatment response in R/M head and neck cancers. The MR data will be compared with clinical follow-up data. Additional sequence parameters.
- For group 2: number of patients response to treatment1 year
will be assessed using ROC curves with RECIST with the RECIST version 1.1 response as the gold standard and change in DW-MRI and image feature metrics as predictors.