A personalized FEM model for reproducible measurement of anti-inflammatory drugs in transdermal administration to knee.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
13 01 2022
13 01 2022
Historique:
received:
22
08
2021
accepted:
08
11
2021
entrez:
14
1
2022
pubmed:
15
1
2022
medline:
1
3
2022
Statut:
epublish
Résumé
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%.
Identifiants
pubmed: 35027630
doi: 10.1038/s41598-021-04718-2
pii: 10.1038/s41598-021-04718-2
pmc: PMC8758660
doi:
Substances chimiques
Anti-Inflammatory Agents, Non-Steroidal
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
673Informations de copyright
© 2022. The Author(s).
Références
Med Biol Eng Comput. 1983 Jan;21(1):51-5
pubmed: 6865513
Physiol Meas. 2013 Jun;34(6):723-36
pubmed: 23719278
Phys Med Biol. 1997 Jul;42(7):1245-62
pubmed: 9253037
J Invest Dermatol. 1988 Feb;90(2):218-24
pubmed: 3339263
Phys Med Biol. 1996 Nov;41(11):2231-49
pubmed: 8938024
Physiol Meas. 2011 Jan;32(1):1-18
pubmed: 21098911
Int J Cosmet Sci. 2012 Dec;34(6):551-9
pubmed: 22957937
Trends Mol Med. 2001 May;7(5):201-4
pubmed: 11325631
Skin Res Technol. 2000 Nov;6(4):230-238
pubmed: 11428962
Clin Anat. 2003 May;16(3):215-23
pubmed: 12673816
J Appl Physiol (1985). 1990 Jan;68(1):1-12
pubmed: 2179205
Phys Med Biol. 1996 Nov;41(11):2251-69
pubmed: 8938025
J Biomech Eng. 2010 Oct;132(10):101008
pubmed: 20887018
Skin Res Technol. 2016 Feb;22(1):3-14
pubmed: 26096898
J Med Ultrasound. 2018 Oct-Dec;26(4):205-209
pubmed: 30662152
Skin Res Technol. 2010 May;16(2):137-41
pubmed: 20456092
Pharm Res. 2008 Jan;25(1):87-103
pubmed: 17985216
Med Biol Eng Comput. 2010 Jul;48(7):637-48
pubmed: 20424926
Acta Derm Venereol. 2003;83(6):410-3
pubmed: 14690333
Curr Pharm Des. 2015;21(20):2867-82
pubmed: 25925112
Ann Rheum Dis. 1957 Dec;16(4):494-502
pubmed: 13498604
Sci Rep. 2017 Mar 24;7:44647
pubmed: 28338008
J Cosmet Dermatol. 2007 Jun;6(2):75-82
pubmed: 17524122
IEEE Trans Biomed Eng. 2017 Oct;64(10):2353-2360
pubmed: 28026745
IEEE Trans Biomed Circuits Syst. 2016 Jun;10(3):545-55
pubmed: 26841413
Phys Med Biol. 1996 Nov;41(11):2271-93
pubmed: 8938026