Optimization of MRI for Radiation Therapy

Completed

Conditions studied: Cancer Liver, Cancer Brain, Cancer Head &Neck, Cancer Pelvis

In brief

Currently, appropriate patients undergo MRI imaging with immobilization and sequences optimized for diagnostic radiology purposes. Using a mutual information algorithm, these images are then registered to a treatment planning CT obtained with custom immobilization to minimize intra-and inter-treatment motion and positional variation. This image registration process is time-consuming and introduces additional layers of geometric uncertainty into what should be a highly precise treatment planning process. However, it is necessary, since radiation dose calculations cannot be performed on MRI data due to the lack of crucial density information. The investigator envisions CT-less treatment planning, using only MRI, due to superior imaging characteristics, fully integrated into the radiation oncology clinic. This study will begin this process.

Key facts

Study ID

NCT02045381

Run by

University of Michigan Rogel Cancer Center

People needed

250

Starts

2013-03-14

Expected to finish

2023-02-09

Last updated by the study team

2025-01-14

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients ≥18 years of age
• A working diagnosis of malignancy in the liver, brain, H\&N, or pelvis
• A plan to treat with radiotherapy

You may not qualify if…

• Patients with contraindications to having a contrast enhanced MRI scan. These contraindications will be assessed at the time of enrollment using the guidelines set up and in clinical use by the Radiology Department.

Where it is running

• Univeristy of Michigan — Ann Arbor, Michigan, United States

Full record on ClinicalTrials.gov

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