SynthesisFrontiers in physiology2021
Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review.
Synthesis in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Gadobenate dimeglumine-enhanced MRI at hepatobiliary phase can predict liver regeneration after partial hepatectomy in fibrotic rats.Magma (New York, N.Y.) · 2026Article
- Evaluating the diagnostic significance of the R2* value on 3.0T MRI for assessing the severity of warm hepatic ischemia-reperfusion injury.BMC gastroenterology · 2025Article
- A Comprehensive Review on the Viscoelastic Parameters Used for Engineering Materials, Including Soft Materials, and the Relationships between Different Damping Parameters.Sensors (Basel, Switzerland) · 2024Review
- Recent Advances in Liver Tissue Engineering as an Alternative and Complementary Approach for Liver Transplantation.Current issues in molecular biology · 2023Review
- Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem.Scientific reports · 2023Article
- Imaging Methods Applicable in the Diagnostics of Alzheimer's Disease, Considering the Involvement of Insulin Resistance.International journal of molecular sciences · 2023Review
- From Seeing to Simulating: A Survey of Imaging Techniques and Spatially-Resolved Data for Developing Multiscale Computational Models of Liver Regeneration.Frontiers in systems biology · 2022Article
- Polydatin attenuates tubulointerstitial fibrosis in diabetic kidney disease by inhibiting YAP expression and nuclear translocation.Frontiers in physiology · 2022Article
- Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function.Frontiers in physiology · 2021Review
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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 liver modeling were identified, reviewed, and summarized systematically. Various MRI applications for liver biomechanics are highlighted, and the limitations of different viscoelastic models used in magnetic resonance elastography are addressed. The clinical application of the simulations and the diseases studied are also discussed. Based on the developed questionnaire, the papers' quality was assessed, and of the 46 reviewed papers, 32 papers were determined to be of high-quality. Due to the lack of the suitable material models for different liver diseases studied by magnetic resonance elastography, researchers may consider the effect of liver diseases on constitutive models. In the future, research groups may incorporate various aspects of machine learning (ML) into constitutive models and MRI data extraction to further refine the study methodology. Moreover, researchers should strive for further reproducibility and rigorous model validation and verification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.