2021
DOI: 10.3389/fphys.2021.733393
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Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review

Abstract: MRI-based biomechanical studies can provide a deep understanding of the mechanisms governing liver function, its mechanical performance but also liver diseases. In addition, comprehensive modeling of the liver can help improve liver disease treatment. Furthermore, such studies demonstrate the beginning of an engineering-level approach to how the liver disease affects material properties and liver function. Aimed at researchers in the field of MRI-based liver simulation, research articles pertinent to MRI-based… Show more

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Cited by 19 publications
(9 citation statements)
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References 196 publications
(289 reference statements)
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“…This study evaluated the role of PD in regulating the mechanotransduction pathway of renal fibroblasts, with the following highlights: 1) For the first time, based on real kidney stiffness in different stages of renal fibrosis in DKD rats, we prepared a PA gel system which can simulate the real ECM stiffness environment of kidney tissue in vivo and confirmed that pathological matrix stiffness promoted the expression of α-SMA and collagen I, YAP nuclear translocation and ROS production in fibroblasts; 2) For the first time, using the in vitro model of renal fibroblasts cultured in PA hydrogels with different stiffness and the in vivo model of DKD rats intervened by PD or VP (a pharmacological inhibitor of YAP), we proved that PD can delay fibrosis progression via a mechanism that is dependent, at least in part, on inhibiting YAP expression and nuclear translocation. Magnetic resonance elastography (MRE) and ultrasound shear wave elastography (SWE) have emerged as preferred non-invasive techniques for the clinical assessment of the fibrotic tissue stiffness, but the confounding factors owing to the complex architecture and mechanical properties of the kidney, such as renal anisotropy, tissue viscoelasticity and renal hemodynamics, influence the reliability and Frontiers in Physiology frontiersin.org accuracy of the measurement results obtained (Lim et al, 2021;Seyedpour et al, 2021). Nanoindentation technology and atomic force microscopy (AFM) have high spatial resolution and mechanical sensitivity, which have been widely used to measure the mechanical properties of biomaterials and tissues (Wu et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…This study evaluated the role of PD in regulating the mechanotransduction pathway of renal fibroblasts, with the following highlights: 1) For the first time, based on real kidney stiffness in different stages of renal fibrosis in DKD rats, we prepared a PA gel system which can simulate the real ECM stiffness environment of kidney tissue in vivo and confirmed that pathological matrix stiffness promoted the expression of α-SMA and collagen I, YAP nuclear translocation and ROS production in fibroblasts; 2) For the first time, using the in vitro model of renal fibroblasts cultured in PA hydrogels with different stiffness and the in vivo model of DKD rats intervened by PD or VP (a pharmacological inhibitor of YAP), we proved that PD can delay fibrosis progression via a mechanism that is dependent, at least in part, on inhibiting YAP expression and nuclear translocation. Magnetic resonance elastography (MRE) and ultrasound shear wave elastography (SWE) have emerged as preferred non-invasive techniques for the clinical assessment of the fibrotic tissue stiffness, but the confounding factors owing to the complex architecture and mechanical properties of the kidney, such as renal anisotropy, tissue viscoelasticity and renal hemodynamics, influence the reliability and Frontiers in Physiology frontiersin.org accuracy of the measurement results obtained (Lim et al, 2021;Seyedpour et al, 2021). Nanoindentation technology and atomic force microscopy (AFM) have high spatial resolution and mechanical sensitivity, which have been widely used to measure the mechanical properties of biomaterials and tissues (Wu et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The common hepatic MRI examination consists of T 1 - and T 2 -weighted MRI for assessing hepatic lipid and/or iron content but can be extended by gadolinium-enhanced T 1 -weighted MRI for grading more severe acute hepatitis and fibrosis and for delineating vascular abnormalities [ 177 , 178 ]. Another increasingly applied method is MR elastography (MRE), the principle of which is based on an image-encoding response of the stimulated soft tissue produced by harmonic mechanical vibrations and the reconstruction of parameters denoting viscoelastic (i.e., the degree of liver stiffness) tissue properties [ 174 , 175 , 179 ]. Hepatic MRE enables an examination of the entire liver and is suitable as a screening method for liver fibrosis [ 177 , 179 , 180 ].…”
Section: Ad As Insulinopathymentioning
confidence: 99%
“…Another increasingly applied method is MR elastography (MRE), the principle of which is based on an image-encoding response of the stimulated soft tissue produced by harmonic mechanical vibrations and the reconstruction of parameters denoting viscoelastic (i.e., the degree of liver stiffness) tissue properties [ 174 , 175 , 179 ]. Hepatic MRE enables an examination of the entire liver and is suitable as a screening method for liver fibrosis [ 177 , 179 , 180 ]. The variety of MR modalities facilitates the evaluation of abnormal liver fatty infiltration (e.g., T 1 -weighted fast spoiled gradient echo [ 178 ], MRI-estimated proton density fat fraction [ 180 ], in-phase and opposed-phase imaging [ 174 ], and Dixon sequences or 1 H MRS [ 181 ]) based on distinguishing the fat–water composition within soft tissues.…”
Section: Ad As Insulinopathymentioning
confidence: 99%
“…While all three techniques can be utilized for volumetric measurements of the liver, MRI offers higher soft tissue contrast compared to CT and ultrasound. A recent review article highlights the application of MRI-based liver modeling in understanding liver biomechanics and improving liver disease treatment (Seyedpour et al, 2021). Studying biomechanics of the liver aided by MRI allows for predictive modeling of liver diseases to identify and better understand the progressive stages ahead.…”
Section: Organ-level Imaging and Modelingmentioning
confidence: 99%