Update papers.bib

_bibliography/papers.bib

@@ -5,6 +5,18 @@ @string{aps
 
 % Add new ones to the top of the list
 
+@PHDTHESIS{DeLucioThesis,
+url = "https://hammer.purdue.edu/articles/thesis/Numerical_Simulation_and_Poromechanical_Modeling_of_Subcutaneous_Injection_of_Monoclonal_Antibodies/25674240/1",
+title = "Numerical Simulation and Poromechanical Modeling of Subcutaneous Injection of Monoclonal Antibodies",
+author = "de Lucio, Mario",
+school = {Purdue University Graduate School},
+year = "2024",
+bibtex_show={true},
+preview={deLuciothesis.png},
+abstract = {Subcutaneous injection for self-administration of biotherapeutics, such as monoclonal antibodies (mAbs), is becoming increasingly prominent within the pharmaceutical sector due to its benefits in patient compliance and cost-effectiveness. The success of this drug delivery process depends on the coupled mechanical and transport phenomena within the subcutaneous tissue, both during and after the injection. Yet, the details of these processes are not well-elucidated, sparking a surge in computational efforts to fill this knowledge gap. Remarkably, there are very few computational studies on subcutaneous injection into three-dimensional porous media that account for large tissue deformations, drug transport and absorption, the use medical devices, and human factors. Here, we develop a high-fidelity computational framework to study large-volume subcutaneous injection of mAbs. Our investigation begins with a linear poroelastic model without drug transport, which we employ to study the effect of tissue deformation on injection dynamics. We progressively enhance this model, advancing to a nonlinear porohyperelastic framework that include drug transport and absorption. To capture the anisotropy of subcutaneous tissue, we employ a fibril-reinforced porohyperelastic model. Furthermore, we integrate the multi-layered structure of skin tissue by creating data-driven geometrical models of the tissue layers derived from histological data. Our analysis explores the impact of different handheld autoinjectors on the injection dynamics for various patient-applied forces. We investigate the effect of different pre-injection techniques, such as the pinch and stretch methods, on the drug transport and absorption. Additionally, we evaluate the impact of several physiological variables, including flow rate, injection depth, and body mass index. Our simulations yield crucial insights essential for comprehending and improving subcutaneous drug administration of mAbs. Additionally, they offer a deeper understanding of the human aspect of the injection procedure, thereby paving the way for advancements in the development of patient-centered injection devices and techniques.},
+doi = "https://doi.org/10.25394/PGS.25674240.v1"
+}
+
 @article{Jacques1,
   title={Poroelastic Characterization and Modeling of Subcutaneous Tissue Under Confined Compression},
   author={Barsimantov, J. and Payne, J. and {de Lucio}, Mario and Hakim, M. and Gomez, H. and Solorio, L. and Tepole, A. B.},
@@ -28,6 +40,7 @@ @article{Hao2
   year  = {2023},
   bibtex_show={true},
   preview={Hao2.jpg},
+  abstract = {Subcutaneous injection of monoclonal antibodies (mAbs) has attracted much attention in the pharmaceutical industry. During the injection, the drug is delivered into the tissue producing strong fluid flow and tissue deformation. While data indicate that the drug is initially uptaken by the lymphatic system due to the large size of mAbs, many of the critical absorption processes that occur at the injection site remain poorly understood. Here, we propose the MPET2 approach, a multi-network poroelastic and transport model to predict the absorption of mAbs during and after subcutaneous injection. Our model is based on physical principles of tissue biomechanics and fluid dynamics. The subcutaneous tissue is modeled as a mixture of three compartments, i.e., interstitial tissue, blood vessels, and lymphatic vessels, with each compartment modeled as a porous medium. The proposed biomechanical model describes tissue deformation, fluid flow in each compartment, the fluid exchanges between compartments, the absorption of mAbs in blood vessels and lymphatic vessels, as well as the transport of mAbs in each compartment. We used our model to perform a high-fidelity simulation of an injection of mAbs in subcutaneous tissue and evaluated the long-term drug absorption. Our model results show good agreement with experimental data in depot clearance tests.},
   publisher = {Taylor \& Francis},
   doi = {10.1080/10717544.2022.2163003}
 }
@@ -42,6 +55,7 @@ @article{Hao1
   year={2023},
   bibtex_show={true},
   preview={Hao1.jpg},
+  abstract = {The MPET2 model couples the multi-network poroelastic theory (MPET2) with solute transport equations and provides predictions of the material deformation, fluid dynamics, and solute transport in different compartments of a deformable multiple-porosity medium. MPET2 offers a comprehensive framework for understanding complex porous media across multiple disciplines. Examples of its applications include studying rock formations, soil mechanics and subsurface reservoirs, investigating biological tissues, modeling groundwater flow and contaminant transport, and optimizing the design of porous materials. Despite the wide range of applications of the model, its numerical discretization has received little attention. Here we propose a stabilized formulation of the MPET model. To address the unique challenges posed by the discretization of the MPET2 model, we use multiple techniques including the Fluid Pressure Laplacian stabilization, Streamline Upwind Petrov–Galerkin stabilization, and discontinuity capturing. Our spatial discretization is based on Isogeometric Analysis with higher-order continuity basis functions. The fully discretized governing equations are solved simultaneously with a monolithic algorithm. We perform a convergence study of the proposed formulation. Then, we conduct a series of simulations of subcutaneous injection of monoclonal antibodies under different injection conditions. Our simulations show that the stabilized MPET formulation can provide oscillation-free solutions for tissue deformation, fluid flow in the interstitial tissue, blood vessels, and lymphatic vessels, drug absorption in blood vessels and lymphatic vessels, as well as drug transport in each compartment. We also study the effects of different injection conditions on drug absorption, showing the potential of the proposed model and algorithm in the future optimization of injection strategy.},
   publisher={Elsevier},
 }
 
@@ -84,6 +98,7 @@ @article{Leng2
   preview={Leng2.png},
   doi = {https://doi.org/10.1007/s10237-022-01622-0},
   bibtex_show={true},
+  abstract = {Subcutaneous injection of therapeutic monoclonal antibodies (mAbs) has gained increasing interest in the pharmaceutical industry. The transport, distribution and absorption of mAbs in the skin after injection are not yet well-understood. Experiments have shown that fibrous septa form preferential channels for fluid flow in the tissue. The majority of mAbs can only be absorbed through lymphatics which follow closely the septa network. Therefore, studying drug transport in the septa network is vital to the understanding of drug absorption. In this work, we present a mixed-dimensional multi-scale (MDMS) poroelastic model of adipose tissue for subcutaneous injection. More specifically, we model the fibrous septa as reduced-dimensional microscale interfaces embedded in the macroscale tissue matrix. The model is first verified by comparing numerical results against the full-dimensional model where fibrous septa are resolved using fine meshes. Then, we apply the MDMS model to study subcutaneous injection. It is found that the permeability ratio between the septa and matrix, volume capacity of the septa network, and concentration-dependent drug viscosity are important factors affecting the amount of drug entering the septa network which are paths to lymphatics. Our results show that septa play a critical role in the transport of mAbs in the subcutaneous tissue, and this role was previously overlooked.},
   author = {Yu Leng and Hao Wang and Mario {de Lucio} and Hector Gomez},
 }
 
@@ -174,6 +189,7 @@ @mastersthesis{deLucio2018
   school = {Universidade da Coruna},
   bibtex_show={true},
   preview={MSc_thesis.jpg},
+  url = {https://www.researchgate.net/publication/329707429_A_multi-layered_in-silico_model_for_rupture_risk_assessment_of_abdominal_aortic_aneurysms_with_non-atherosclerotic_intimal_thickening},
   abstract = {An abdominal aortic aneurysm is a localized bulge or swelling in the lower part of the aorta, the main blood vessel of the human body that goes from the left ventricle of the heart down through the chest and the tummy, where it splits in two smaller vessels called iliac arteries. They usually remain asymptomatic until rupture, which makes them a life-threatening disease with an overall mortality of more than 80%. Layer-specific experimental data for human aortic tissue suggest that, in aged arteries and arteries with non-atherosclerotic intimal thickening, the innermost layer of the aorta increases significantly its stiffness and thickness, becoming load-bearing. However, there are very few computational studies of aortic abdominal aneurysms (AAAs) that take into account the mechanical contribution of the three layers that make up the aneurysmal tissue. In this technical project, a three-layered finite element model is proposed from the simplest (uniaxial) stress state, to geometrically parametrized models of AAAs with different asymmetry values. Comparisons are made between a three-layered artery wall, and a mono-layered intact artery, whose constitutive parameters stand for the mean mechanical behavior of the three layers. Likewise, the response of our idealized geometries is compared with similar models. The mechanical contributions of adventitia, media and intima, are also analyzed for the three-layered aneurysms through the evaluation of the mean stress absorption percentage. Results show the relevance of considering the inclusion of tunica intima in multi-layered models of AAAs for getting more accurate results in terms of peak wall stresses and displacements. The last part of this investigation contains a Fluid-Structure Interaction study in parametrized abdominal aortic aneurysms, considering a hyperelastic anisotropic constitutive law for the aneurysmal wall. Because of the high computational cost that it would attain to model a full cardiac cycle in a three-layered aneurysm considering the Fluid-Structure Interaction, only a mono-layered aneurysm is simulated within this final part of the project. As in the previous section, comparisons are made between elastic, hyperelastic isotropic and hyperelastic anisotropic artery walls in terms of stresses and displacements.},
 }