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Öğe Application of magnetic resonance imaging in liver biomechanics: a systematic review(Frontiers, 2021) Seyedpour, Seyed M.; Nabati, Mehdi; Lambers, Lena; Nafisi, Sara; Tautenhahn, Hans-Michael; Sack, Ingolf; Reichenbach, Jurgen R.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.Öğe The effect of direct electric current on motion behaviour in a transgenic beta-amyloid model of caneorhabditis elegans: an In-vivo study(KARGER, 2021) Destanoğlu, Leyla; Öter, Berre; Tengirşek, Emircan; Yalçın, Tuncer; Bilgin, Sevim; Nafisi, Sara; Karış, Denizhan; Olgun, Abdullah[No Abstract Available]Öğe Magnetic Resonance Imaging-based biomechanical simulation of cartilage: a systematic review(Elsevier, 2022) Seyedpour, S. M.; Nafisi, Sara; Nabati, M.; Pierce, D. M.; Reichenbach, J. R.; Ricken, T.MRI-based mathematical and computational modeling studies can contribute to a better understanding of the mechanisms governing cartilage’s mechanical performance and cartilage disease. In addition, distinct modeling of cartilage is needed to optimize artificial cartilage production. These studies have opened up the prospect of further deepening our understanding of cartilage function. Furthermore, these studies reveal the initiation of an engineering-level approach to how cartilage disease affects material properties and cartilage function. Aimed at researchers in the field of MRI-based cartilage simulation, research articles pertinent to MRI-based cartilage modeling were identified, reviewed, and summarized systematically. Various MRI applications for cartilage modeling are highlighted, and the limitations of different constitutive models used are addressed. In addition, the clinical application of simulations and studied diseases are discussed. The paper’s quality, based on the developed questionnaire, was assessed, and out of 79 reviewed papers, 34 papers were determined as high-quality. Due to the lack of the best constitutive models for various clinical conditions, researchers may consider the effect of constitutive material models on the cartilage disease simulation. In the future, research groups may incorporate various aspects of machine learning 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, such as gait analysis.Öğe NSAIDs and paracetamol-induced hepatotoxicity: a systematic review and meta-analysis of observational studies(WILEY, 2021) Nafisi, Sara; Baygul, Arzu; Gulmez, Ezgi[No Abstract Available]
