Diffusion MRI of the Abdomen
- Conditions
- Abdominal Imaging
- Interventions
- Device: Diffusion Weighted Magnetic Resonance Imaging
- Registration Number
- NCT05261633
- Lead Sponsor
- University of Wisconsin, Madison
- Brief Summary
The purpose of this research is to see if a new magnetic resonance imaging (MRI) method will be able to improve the images taken of the abdomen. This new method includes some changes to help avoid movements that may disrupt the images like breathing, heartbeats and other involuntary motion that occurs in the abdomen. This study will these methods in healthy volunteers and validate them in patients with known liver metastases in a single contrast-enhanced MRI visit.
- Detailed Description
This study will develop and validate novel DW-MRI methods with unprecedented robustness to motion, favorable image quality, and quantitative precision for abdominal imaging. Upon successful completion, these methods will have broad applications, including the assessment of cancer, fibrosis and other disease processes in various abdominal organs such as the liver, pancreas, kidneys, bowel and beyond.
The primary objective is to demonstrate precise quantitative diffusion parameter mapping that is achieved by the novel, motion-robust, low-distortion DW-MRI methods in a representative and clinically relevant application, for the assessment of liver metastatic disease. Specifically, the investigators will:
1. Compare the repeatability of DW-MRI methods by calculating the squared difference between each pair of repeated ADC measurements in lesions and healthy tissue, and will model this value including the DW-MRI method as a covariate using Generalized Estimating Equations (GEE).
Secondary objectives include optimization of the methods in healthy volunteers, assessment of image quality and distortions, as well gathering preliminary data for assessment of sensitivity and specificity for detection of lesions:
1. Optimization in healthy volunteers
1. (Aim 1) Optimized bh, M1 and M2 parameters by minimization of the mean squared error and bias of ADC quantification across the liver
2. (Aim 2) Optimized motion-corrected averaging via image quality assessment by three radiologists using a Likert scale.
2. SNR (signal-to-noise ratio) will be evaluated for each DW-MRI dataset, using an expectation-maximization method, accounting for parallel imaging, spatially varying noise, and magnitude operation.
3. To assess image distortions in DW-MRI, the cross-correlation coefficient (CCC) will be used to assess alignment between each of the DW-MRI datasets and the reference T2-weighted acquisition.
4. Each DW-MRI reconstruction will be evaluated by three radiologists using a Likert scale between 0 (worst/non-diagnostic) and 4 (best) for several criteria: motion artifacts, spatial resolution, distortions, apparent SNR, and overall image quality. The post-contrast images will serve as a guide to assess for artifacts by demonstrating the liver and the lesions.
5. Per-lesion sensitivity, specificity, and accuracy will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.
6. Intra-reader variability will be assessed by each reader will repeating ADC measurements after two months.
7. Inter-reader variability will be assessed in ADC measurements by comparing matching lesions, based on the recorded lesion location across readers.
Specific Aims Aim 1: Optimize a reliable, motion-robust DW-MRI of the abdomen in healthy volunteers.
Aim 2: Optimize, in healthy volunteers, a high-resolution, low-distortion, motion-robust DW-MRI of the abdomen through the synergistic combination of motion-robust DW-MRI with state-of-the-art low-distortion techniques.
Aim 3: Demonstrate excellent image quality and precise quantitative diffusion parameter mapping using the novel DW-MRI methods in a representative and clinically relevant application for the assessment of liver metastases, by evaluating in patients:
3a. Quantitative and subjective image quality metrics. 3b. Precision (test-retest repeatability) of ADC measurements in the liver (including healthy parenchyma and lesions) by novel vs. standard DW-MRI methods.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 80
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Known Liver Metastases Diffusion Weighted Magnetic Resonance Imaging - Healthy Volunteers Diffusion Weighted Magnetic Resonance Imaging -
- Primary Outcome Measures
Name Time Method Squared difference between each pair of repeated ADC measurements up to 1.5 hours Compare the repeatability of DW-MRI methods by calculating the squared difference between each pair of repeated apparent diffusion coefficient (ADC) measurements in lesions and healthy tissue, and will model this value including the DW-MRI method as a covariate using Generalized Estimating Equations (GEE).
- Secondary Outcome Measures
Name Time Method Mean Squared Error of ADC in images from Healthy Volunteers up to 1.5 hours Optimized bh, M1 and M2 parameters in healthy volunteers by minimization of the mean squared error and bias of ADC quantification across the liver.
Image Quality Score in images from Healthy Volunteers up to 1.5 hours Optimized motion-corrected averaging in healthy volunteers via image quality assessment by three radiologists using a Likert scale, ranging between 0 (worst/non-diagnostic) and 4 (best).
Sensitivity: Number of True Positive Assessments divided by Number of All Positive Assessments up to 1.5 hours Per-lesion sensitivity will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.
Cross-correlation coefficient (CCC) of images up to 1.5 hours To assess image distortions in DW-MRI, the cross-correlation coefficient (CCC) will be used to assess alignment between each of the DW-MRI datasets and the reference T2-weighted acquisition.
Specificity: Number of True Negative Assessments divided by Number of All Negative Assessments up to 1.5 hours Per-lesion specificity will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.
Accuracy: Number of Correct Assessments divided by Number of All Assessments up to 1.5 hours Per-lesion accuracy will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.
Signal-to-Noise Ratio (SNR) up to 1.5 hours SNR will be evaluated for each DW-MRI dataset, using an expectation-maximization method, accounting for parallel imaging, spatially varying noise, and magnitude operation
ACD Measures For Each Reader to assess Inter-Reader Variability up to 1.5 hours Inter-reader variability will be assessed in ADC measurements by comparing matching lesions, based on the recorded lesion location across readers.
Overall Image Quality Score up to 1.5 hours Each DW-MRI reconstruction will be evaluated by three radiologists using a Likert scale between 0 (worst/non-diagnostic) and 4 (best) for several criteria: motion artifacts, spatial resolution, distortions, apparent SNR, and overall image quality. The post-contrast images will serve as a guide to assess for artifacts by demonstrating the liver and the lesions.
Repeat ADC Measurements to Assess Intra-Reader Variability up to 1.5 hours Intra-reader variability will be assessed by each reader with repeating ADC measurements after two months
Trial Locations
- Locations (1)
University of Wisconsin School of Medicine and Public Health
🇺🇸Madison, Wisconsin, United States