This pilot clinical trial examines how well different imaging biomarkers acquired using 3-Telsa magnetic resonance imaging (MRI) methods perform in determining treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma. Compared to conventional imaging, multi-parametric 3-Tesla MRI offers the ability to quantitatively measure tissue structural, functional, cellular, and molecular properties, providing a more robust, clinically relevant method for assessing cancer response to therapy.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
2
3T MRI consists of a series of radiofrequency (RF) pulse sequences optimized for acquiring CEST-, MT-, DW-, and DCE-MRI data in one seamless imaging examination. For DCE, MR contrast agent will be intravenously administered.
For the acquisition of DCE-MR data, the FDA-approved contrast agent Magnevist® (gadopentetate dimeglumine, 0.1 mmol/kg) will be delivered intravenously by the MR technologist at a rate of 2 mL/sec (followed by a saline flush) via a power injector after the acquisition of a set of baseline dynamic scans. The entire sequence lasts approximately 8 minutes.
Vanderbilt-Ingram Cancer Center
Nashville, Tennessee, United States
Correlation of Changes in Imaging Biomarkers (Ktrans, ADC, MTR, and APTasym) as Measured by DCE-, DW-, MT-, and CEST-MRI at 3 Tesla, Respectively, With Changes in Tumor Volume (mRECIST).
The following will be longitudinally measured using 3 Tesla (3T) magnetic resonance imaging (MRI) prior to transarterial chemoembolization (TACE) and 2-4, 4-8, and 12 weeks following TACE: 1) the volume transfer coefficient (Ktrans), measured by dynamic contrast-enhanced (DCE) MRI; 2) the apparent diffusion coefficient (ADC), measured by diffusion-weighted (DW) MRI; 3) the magnetization transfer ratio (MTR), measured by magnetization transfer (MT) MRI; and 4) the amide proton transfer asymmetry (APTasym), measured by chemical exchange saturation transfer (CEST) MRI. We will use a general linear model (GLM) approach to measure the association between changes in each of the above imaging metrics (relative to pretreatment baseline) and changes in tumor volume (according to standard-of-care modified RECIST) at 3 or 6 month follow-up, accounting for the effect of potential confounders, e.g., age and size of the tumor at baseline.
Time frame: Baseline to up to 12 weeks post-TACE
Correlation of Changes in Ktrans, ADC, MTR, and APTasym (Measured by DCE-, DW-, MT-, and CEST-MRI at 3 Tesla, Respectively) With Time-to-progression (TTP).
Proportional hazard model will be employed to assess the ability of the longitudinal change (relative to pretreatment baseline) in each of the 3T MR imaging metrics (Ktrans, ADC, MTR, and APTasym) to predict patient survival outcomes, time-to-progression (TTP) and progression-free survival (PFS) as well as overall survival (OS). The calibration of prediction will be validated by computing the difference between predicted survival and Kaplan-Meier survival estimates at a fixed time, which estimates the over-optimism of the difference using bootstrapping.
Time frame: Baseline to up to 6 months post-TACE
Correlation of Changes in Ktrans, ADC, MTR, and APTasym (Measured by DCE-, DW-, MT-, and CEST-MRI at 3 Tesla, Respectively) With Changes in the Ratio of Viable-to-necrotic Tumor Volume
Longitudinal changes in 3T MRI-derived measures and the change in the ratio of viable vs. necrotic tumor will be assessed by using a GLM approach in which the underlying temporal correlation can be modeled via an autoregressive order one (AR(1)) structure, validated by computing Akaike Information Criterion (AIC) against the other common structures, e.g., unstructured and constant correlation.
Time frame: Baseline to up to 12 weeks post-TACE
Correlation of Ktrans, ADC, MTR, and APTasym (Measured by DCE-, DW-, MT-, and CEST-MRI at 3 Tesla, Respectively) With Pathological Response Within Explanted Tissue Following Orthotopic Liver Transplant (OLT)
Histopathological features on explanted livers following OLT, including percentage necrosis and cellular density as determined by hematoxylin and eosin staining, as well as the extent of fibrosis as determined by collagen staining, will be assessed for correspondence with findings on ex vivo 3T MRI.
Time frame: Subset of patients undergoing OLT: within 12 hours following surgery
Correlation of Changes in Ktrans, ADC, MTR, and APTasym (Measured by DCE-, DW-, MT-, and CEST-MRI at 3 Tesla, Respectively) With Overall Survival (OS)
Proportional hazard model will be employed to assess the ability of the longitudinal change (relative to pretreatment baseline) in each of the 3T MR imaging metrics (Ktrans, ADC, MTR, and APTasym) to predict patient survival outcomes, time-to-progression (TTP) and progression-free survival (PFS) as well as overall survival (OS). The calibration of prediction will be validated by computing the difference between predicted survival and Kaplan-Meier survival estimates at a fixed time, which estimates the over-optimism of the difference using bootstrapping.
Time frame: Baseline to up to 6 months post-TACE
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