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Background And Objectives: Coronary computed tomography angiography (CCTA) derived fractional flow reserve (CT-FFR) requires a maximal hyperemic state to be modeled by assuming the total coronary resistance decreased to a constant 0.24 of that under the resting state. However, this assumption neglects the vasodilator capacity of individual patients. Herein, we proposed a high-fidelity geometric multiscale model (HFMM) to characterize coronary pressure and flow under the resting state, seeking to better predict myocardial ischemia by using CCTA-derived instantaneous wave-free ratio (CT-iFR).
Methods: Fifty-seven patients (62 lesions) who had undergone CCTA and were then referred to invasive FFR were prospectively enrolled. The coronary microcirculation resistance hemodynamic model (RHM) under the resting condition was established on a patient-specific basis. Coupled with a closed-loop geometric multiscale model (CGM) of their individual coronary circulations, the HFMM model was established to non-invasively derive the CT-iFR from CCTA images.
Results: With the invasive FFR being the reference standard, accuracy of the obtained CT-iFR in identifying myocardial ischemia was greater than those of the CCTA and non-invasively derived CT-FFR (90.32% vs. 79.03% vs. 84.3%). The overall computational time of CT-iFR was 61 ± 6 min, faster than that of the CT-FFR (8 h). The sensitivity, specificity, positive predictive value, and negative predictive value of the CT-iFR in discriminating an invasive FFR > 0.8 were 78% (95% CI: 40-97%), 92% (95% CI: 82-98%), 64% (95% CI: 39-83%), and 96% (95% CI:88-99%), respectively.
Conclusions: A high-fidelity geometric multiscale hemodynamic model was developed for rapid and accurate estimation of CT-iFR. Compared with CT-FFR, CT-iFR is of less computational cost and enables assessment of tandem lesions.
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http://dx.doi.org/10.1016/j.cmpb.2023.107476 | DOI Listing |
Materials (Basel)
December 2024
School of Mechanical Engineering, Nantong University, Nantong 226019, China.
Natural fibers exhibit noticeable variations in their cross-sections, and measurements assuming a circular cross-section can lead to errors in the values of their properties. Providing more accurate geometric information of fiber cross-sections is a key challenge. Based on microscopic images of natural fiber structures, this paper proposes a natural fiber microstructure detection method based on the CA-DeepLabv3+ network model.
View Article and Find Full Text PDFMaterials (Basel)
November 2024
Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.
Surface microgeometry created by the energy of electric discharges is related to surface wetting behavior. These relationships change depending on the scale of observation. In this work, contact angles correlated with the surface complexity of AA 6060 after electro-discharge machining were analyzed at different observation scales.
View Article and Find Full Text PDFDesigning novel functional proteins crucially depends on accurately modeling their fitness landscape. Given the limited availability of functional annotations from wet-lab experiments, previous methods have primarily relied on self-supervised models trained on vast, unlabeled protein sequence or structure datasets. While initial protein representation learning studies solely focused on either sequence or structural features, recent hybrid architectures have sought to merge these modalities to harness their respective strengths.
View Article and Find Full Text PDFJ Phys Chem B
December 2024
T-6 Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
A fundamental understanding of how the HIV-1 envelope (Env) protein facilitates fusion is still lacking. The HIV-1 fusion peptide, consisting of 15 to 22 residues, is the N-terminus of the gp41 subunit of the Env protein. Further, this peptide, a promising vaccine candidate, initiates viral entry into target cells by inserting and anchoring into human immune cells.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Department of Industrial Engineering, University of Padova, Via Marzolo 9, Padova 35131, Italy.
Additive manufacturing of carbide materials has received significant attention in the past years due to the ability to fabricate complex structures over different length scales. However, the typical limitations for powder-laden inks, such as nozzle clogging, rheological and geometric constraints, particle sedimentation, light-scattering and absorbing phenomena, narrow the range of available processes to manufacture carbide materials via conventional particle-based systems. To address these shortcomings, we have developed a one-pot synthetic route for the preparation of sol-gel-based UV-photocurable formulations, aiming at the fabrication of titanium carbide/carbon nanocomposites using digital light processing printing, pointing to potential applications in the field of nuclear physics.
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