Seyedpour Seyed M, Nabati Mehdi, Lambers Lena, Nafisi Sara, Tautenhahn Hans-Michael, Sack Ingolf, Reichenbach Jürgen R, Ricken Tim
Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, Germany.
Biomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Stuttgart, Germany.
Front Physiol. 2021 Sep 22;12:733393. doi: 10.3389/fphys.2021.733393. eCollection 2021.
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.
基于磁共振成像（MRI）的生物力学研究能够深入理解肝脏功能的调控机制、其力学性能以及肝脏疾病。此外，肝脏的综合建模有助于改善肝脏疾病的治疗。再者，此类研究展示了一种工程层面的方法，用于探究肝脏疾病如何影响材料特性和肝脏功能。针对基于MRI的肝脏模拟领域的研究人员，系统地识别、审查并总结了与基于MRI的肝脏建模相关的研究文章。重点介绍了肝脏生物力学的各种MRI应用，并讨论了磁共振弹性成像中使用的不同粘弹性模型的局限性。还探讨了模拟的临床应用以及所研究的疾病。基于所编制的问卷，对论文质量进行了评估，在46篇被审查的论文中，有32篇被判定为高质量。由于磁共振弹性成像研究的不同肝脏疾病缺乏合适的材料模型，研究人员可能需要考虑肝脏疾病对本构模型的影响。未来，研究团队可将机器学习（ML）的各个方面纳入本构模型和MRI数据提取中，以进一步完善研究方法。此外，研究人员应努力提高研究的可重复性，并进行严格的模型验证和确认。
