Dynamic MRI for Lung Tumor Motion and Lung Function
In this protocol, we seek to assess whether tumor motion can be inferred using dynamic MRI
and external surrogates. We propose to (1) investigate the feasibility of tracking the
real-time tumor position using dynamic MRI and inferring tumor position using external
surrogates placed on the skin of the subject and (2) determine lung function during and
following radiation by assessing lung perfusion maps obtained via dynamic MRI with dose maps
in order to determine image-based biomarkers for lung toxicity following radiation therapy.
Observational
Time Perspective: Prospective
To assess whether dynamic MRI without contrast and external surrogates can be used to determine real-time lung tumor position.
2 years
No
Warren D. D'Souza, PhD
Principal Investigator
UMMC MSGCC Department of Radiation Oncology
United States: Institutional Review Board
HP-00043875
NCT01016938
November 2009
November 2014
Name | Location |
---|---|
Ummc Msgcc | Baltimore, Maryland 21201 |