The proposed study is to investigate the feasibility of using quantitative diffusion MRI (dMRI) methods for accurate and comprehensive assessment of treatment response. dMRI is a powerful tool to probe treatment-induced change in tumors. It is a unique in vivo imaging technique sensitive to cellular microstructures at the scale of water diffusion length on the order of a few microns. Previous studies have shown that both diffusion coefficient D and diffusional kurtosis coefficient K are promising imaging markers of (i) cell viability which can be used for evaluation of early treatment response. However, it is often underappreciated that these dMRI metrics are not fixed constants, but rather functions of the diffusion time t, D(t) and K(t); their t-dependency is determined by tissue properties, such as cell size and membrane permeability of tissue. D(t) and K(t) of tumors can vary substantially depending on t in the range of diffusion times (30-100 ms) typically used in clinical scan.
This study will investigate the t-dependency of dMRI over a range of diffusion times (30-500 ms) to determine an optimal diffusion time for treatment response assessment when only one diffusion time needs to be used, particularly in routine clinical studies. Furthermore, the data with multiple diffusion times will also be used to measure the water exchange time of cancer cells. Exchange time has been studied using Dynamic Contrast Enhanced (DCE) MRI by multiple groups including ours, and has been suggested as a marker of (ii) cellular metabolism that regulates the ATP-dependent ion channels co-transporting water molecules. The study will measure with dMRI, without using a contrast agent. The investigators also demonstrated that Intra-Voxel Incoherent Motion (IVIM) MRI metrics (pseudo diffusivity, Dp; perfusion fraction, fp), from multiple b-values at a fixed diffusion time, can be used to assess the perfusion status of tumor and they are also associated with tumor interstitial fluid pressure. The IVIM effect has been observed in various cancer types (33-39) and animal tumor models. The product fp\*Dp - a quantity including both blood volume and velocity information - is considered as a parameter analogous to (iii) perfusion flow .
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
16
For the PET/MRI scans, an intravenous (IV) catheter (thin tube) will be used to administer dyes (contrast) for both the MRI and PET portions of the examination. The dye for the PET portion will be 18F-fluorodeoxyglucose (FDG). FDG is an FDA-approved radioactive substance (isotope) that contains chemicals that can be traced by PET/MRI. The dye for the MRI portion will be a gadolinium based contrast medium which is also an FDA-approved substance that makes certain tissues, abnormalities or disease processes more clearly visible on MRI scans. MRI uses a strong magnetic field to create images of the body. Subjects will be asked to lie on a table that will slide into the scanner; Wear earplugs to reduce the noise made by the MRI scanner and lie still throughout the time in the scanner.
MRI uses a strong magnetic field to create images of the body. Subjects will be asked to lie on a table that will slide into the scanner to scan the neck ; Wear earplugs to reduce the noise made by the MRI scanner and lie still throughout the time in the scanner.
For the MRI scans, an intravenous (IV) catheter (thin tube) will be used to administer dyes (contrast) for MR scans. The dye for the MRI will be a gadolinium based contrast medium which is also an FDA-approved substance that makes certain tissues, abnormalities or disease processes more clearly visible on MRI scans. MRI uses a strong magnetic field to create images of the body. Subjects will be asked to lie on a table that will slide into the scanner; Wear earplugs to reduce the noise made by the MRI scanner and lie still throughout the time in the scanner.
NYU Langone
New York, New York, United States
Weill Cornell Medical College
New York, New York, United States
Intra-class Correlation (ICC)
Estimated components from a random effects model in each dMRI measure will be used to compute intra-class correlation as estimates of repeatability of each measure.
Time frame: 6 weeks
Intra-subject Coefficient of Variation (CV)
Estimated components from a random effects model in each dMRI measure will be used to compute intra-subject coefficient of variation as estimates of repeatability of each measure.
Time frame: 6 weeks
Overall Response Rate (ORR)
Binary classification of treatment response as complete response (CR) versus partial response (PR) for participants at the end of the chemoradiation therapy assessed by clinical/radiological reports. CR will include the cases with complete disappearance of any clinically detectable tumor mass, while PR will include cases with stable disease and progressive disease.
Time frame: 6 weeks
Progression-Free Survival (PFS)
Binary indicator of whether patients showed progression-free survival at 2 years post treatment on the standard-of-care follow-up exams. PFS is the length of time that a patient lives with the disease but it does not get worse.
Time frame: 2 Years Post-Treatment
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