Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/46411
Title: A personalized FEM model for reproducible measurement of anti-inflammatory drugs in transdermal administration to knee
Authors: Arpaia P.
Crauso F.
Frosolone M.
Mariconda M.
Minucci, Simone 
Moccaldi N.
Journal: SCIENTIFIC REPORTS 
Issue Date: 2022
Abstract: 
A personalized model of the human knee for enhancing the inter-individual reproducibility of a measurement method for monitoring Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) after transdermal delivery is proposed. The model is based on the solution of Maxwell Equations in the electric-quasi-stationary limit via Finite Element Analysis. The dimensions of the custom geometry are estimated on the basis of knee circumference at the patella, body mass index, and sex of each individual. An optimization algorithm allows to find out the electrical parameters of each subject by experimental impedance spectroscopy data. Muscular tissues were characterized anisotropically, by extracting Cole–Cole equation parameters from experimental data acquired with twofold excitation, both transversal and parallel to tissue fibers. A sensitivity and optimization analysis aiming at reducing computational burden in model customization achieved a worst-case reconstruction error lower than 5%. The personalized knee model and the optimization algorithm were validated in vivo by an experimental campaign on thirty volunteers, 67% healthy and 33% affected by knee osteoarthritis (Kellgren–Lawrence grade ranging in [1,4]), with an average error of 3%.
URI: http://hdl.handle.net/2067/46411
ISSN: 2045-2322
DOI: https://doi.org/10.1038/s41598-021-04718-2
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:A1. Articolo in rivista

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