Non‐contrast based approach for liver function quantification using Bayesian‐based intravoxel incoherent motion diffusion weighted imaging: A pilot study

Author:

Phonlakrai Monchai12,Ramadan Saadallah34,Simpson John56,Skehan Kate5,Goodwin Jonathan56,Trada Yuvnik57,Martin Jarad58,Sridharan Swetha58,Gan Lay Theng9,Siddique Sabbir Hossain10,Greer Peter56

Affiliation:

1. School of Health Sciences, College of Health, Medicine and Wellbeing The University of Newcastle Newcastle NSW Australia

2. School of Radiological Technology Faculty of Health Science Technology Chulabhorn Royal Academy Bangkok Thailand

3. HMRI Imaging Centre Hunter Medical Research Institute Newcastle NSW Australia

4. College of Health, Medicine and Wellbeing The University of Newcastle Newcastle NSW Australia

5. Radiation Oncology Department Calvary Mater Newcastle Newcastle NSW Australia

6. School of Information and Physical Sciences, College of Engineering, Science and Environment The University of Newcastle Newcastle NSW Australia

7. Faculty of Medicine and Health Sydney Medical School The University of Sydney Sydney NSW Australia

8. School of Medicine and Public Health, College of Health, Medicine and Wellbeing The University of Newcastle Newcastle NSW Australia

9. The Gastroenterology Department at John Hunter Hospital Newcastle NSW Australia

10. Hunter New England Imaging John Hunter Hospital Newcastle NSW Australia

Abstract

AbstractPurposeLiver cirrhosis disrupts liver function and tissue perfusion, detectable by magnetic resonance imaging (MRI). Assessing liver function at the voxel level with 13‐b value intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) could aid in radiation therapy liver‐sparing treatment for patients with early impairment. This study aimed to evaluate the feasibility of IVIM‐DWI for liver function assessment and correlate it with other multiparametric (mp) MRI methods at the voxel level.MethodThis study investigates the variability of apparent diffusion coefficient (ADC) derived from 13‐b value IVIM‐DWI and B1‐corrected dual flip angle (DFA) T1 mapping. Experiments were conducted in‐vitro with QIBA and NIST phantoms and in 10 healthy volunteers for IVIM‐DWI. Additionally, 12 patients underwent an mp‐MRI examination. The imaging protocol included a 13‐b value IVIM‐DWI sequence for generating IVIM parametric maps. B1‐corrected DFA T1 pulse sequence was used for generating T1 maps, and Gadoxatate low temporal resolution dynamic contrast‐enhanced (LTR‐DCE) MRI was used for generating the Hepatic extraction fraction (HEF) map. The Mann‐Whitney U test was employed to compare IVIM‐DWI parameters (Pure Diffusion, Dslow; Pseudo diffusion, Dfast; and Perfusion Fraction, Fp) between the healthy volunteer and patient groups. Furthermore, in the patient group, statistical correlations were assessed at a voxel level between LTR‐DCE MRI‐derived HEF, T1 post‐Gadoxetate administration, ΔT1%, and various IVIM parameters using Pearson correlation.ResultsFor‐vitro measurements, the maximum coefficient of variation of the ADC and T1 parameters was 12.4% and 16.1%, respectively. The results also showed that Fp and Dfast were able to distinguish between healthy liver function and mild liver function impairment at the global level, with p = 0.002 for Fp and p < 0.001 for Dfast. Within the patient group, these parameters also exhibited a moderate correlation with HEF at the voxel level.ConclusionOverall, the study highlighted the potential of Dfast and Fp for detecting liver function impairment at both global and pixel levels.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

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