We previously introduced and verified the reduced unified continuum formulation for vascular fluid-structure interaction (FSI) against Womersley's deformable wall theory. Our present work seeks to investigate its performance in a patient-specific aortic setting in which assumptions of idealized geometries and velocity profiles are invalid. Specifically, we leveraged 2D magnetic resonance imaging (MRI) and 4D-flow MRI to extract high-resolution anatomical and hemodynamic information from an in vitro flow circuit embedding a compliant 3D-printed aortic phantom. To accurately reflect experimental conditions, we numerically implemented viscoelastic external tissue support, vascular tissue prestressing, and skew boundary conditions enabling in-plane vascular motion at each inlet and outlet. Validation of our formulation is achieved through close quantitative agreement in pressures, lumen area changes, pulse wave velocity, and early systolic velocities, as well as qualitative agreement in late systolic flow structures. Our validated suite of FSI techniques offers a computationally efficient approach for numerical simulation of vascular hemodynamics. This study is among the first to validate a cardiovascular FSI formulation against an in vitro flow circuit involving a compliant vascular phantom of complex patient-specific anatomy.
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http://dx.doi.org/10.1007/s10439-022-03038-4 | DOI Listing |
BMC Complement Med Ther
January 2025
Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran.
Background: Currently, there is no agreed-upon data collection tool for comprehensively structured documentation of Iranian traditional medicine (ITM) from the information management perspective. As ITM practice varies significantly from current medicine in diagnosis and treatment approaches, it is not appropriate to use data platforms or information systems developed for current medicine. Consequently, the collected data are non-comparable, reducing the verdicts' generalization.
View Article and Find Full Text PDFEur J Neurol
January 2025
Department of Neurology, Inselspital, University of Bern, Bern, Switzerland.
Background And Purpose: The global burden of neurological diseases exceeds 43.1%, imposing a significant burden on patients, caregivers and society. This paper presents a roadmap to reduce this burden and improve brain health (BH) in Europe.
View Article and Find Full Text PDFJ Neurol
January 2025
Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisbon, Portugal.
Background: Drooling, defined as the unintentional loss of saliva from the anterior oral cavity, remains poorly understood in terms of the underlying clinical factors in people with Parkinson's disease (PwP). This study aims to clarify these factors by analyzing predictors and secondarily the correlates with the severity of drooling in PwP.
Methods: We conducted a cross-sectional study involving 42 PwP with drooling and 59 without drooling.
J Asthma
January 2025
Department of Biomedical Science, Humanitas University, Pieve Emanuele (Milano), Italy.
Objective: Exacerbations and suboptimal disease control are common in severe asthma with an eosinophilic phenotype (SAep). Mepolizumab, an anti-interleukin-5 monoclonal antibody, has demonstrated efficacy and safety in randomized controlled trials (RCTs). We aimed to strengthen the real-world evidence base for mepolizumab in SAep.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, China; School of Computer Science and Engineering, Southeast University, Nanjing, China.
Purpose: Dual-energy computed tomography (DECT) enables the differentiation of different materials. Additionally, DECT images consist of multiple scans of the same sample, revealing information similarity within the energy domain. To leverage this information similarity and address safety concerns related to excessive radiation exposure in DECT imaging, sparse view DECT imaging is proposed as a solution.
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