000136416 001__ 136416
000136416 005__ 20250923084423.0
000136416 0247_ $$2doi$$a10.1016/j.compbiomed.2024.108976
000136416 0248_ $$2sideral$$a139371
000136416 037__ $$aART-2024-139371
000136416 041__ $$aeng
000136416 100__ $$aFantaci, Benedetta$$uUniversidad de Zaragoza
000136416 245__ $$aModeling biological growth of human keratoconus: On the effect of tissue degradation, location and size
000136416 260__ $$c2024
000136416 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136416 5203_ $$aKeratoconus is a non-inflammatory bilateral disease, that usually occurs in the inferior-temporal region, where the cornea bulges out and becomes thinner, due to the gradual loss of structural organization in corneal tissue. Degenerated extracellular matrix and fibers breakage have been observed in keratoconic corneas, that may promote the progression of the pathology. While keratoconus histopathology has been widely described in literature, its etiology is still not clear. Being able to fully understand keratoconus growing process could be crucial to detect its development and improve prevention strategies. This work proposes a novel continuum-based keratoconus growth model. The proposed framework accounts for the structural changes occurring in the underlying tissue during the progression of the disease, as indicated in experiments. The developed formulation is able to replicate the typical bulging and thinning of keratoconic corneas, as well as different forms in terms of shape, as they are commonly classified in clinics (nipple, oval and globus cones). The cone that is obtained constitutes a permanent deformed state, not pressure dependent. The resulting model may help to better understand the etiology of the behavior of this disease with the aim of improving the diagnosis and the treatment of the pathology.
000136416 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T24-23R$$9info:eu-repo/grantAgreement/EC/H2020/956720/EU/Opto-Biomechanical Eye Research Network/OBERON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956720-OBERON$$9info:eu-repo/grantAgreement/ES/UZ/ICTS NANBIOSIS-U27 Unit-CIBER-BBN
000136416 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000136416 590__ $$a6.3$$b2024
000136416 592__ $$a1.447$$b2024
000136416 591__ $$aBIOLOGY$$b7 / 107 = 0.065$$c2024$$dQ1$$eT1
000136416 593__ $$aHealth Informatics$$c2024$$dQ1
000136416 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b4 / 67 = 0.06$$c2024$$dQ1$$eT1
000136416 593__ $$aComputer Science Applications$$c2024$$dQ1
000136416 591__ $$aENGINEERING, BIOMEDICAL$$b22 / 124 = 0.177$$c2024$$dQ1$$eT1
000136416 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b26 / 175 = 0.149$$c2024$$dQ1$$eT1
000136416 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136416 700__ $$0(orcid)0000-0001-9713-1813$$aCalvo, Begoña$$uUniversidad de Zaragoza
000136416 700__ $$aRodríguez, José Félix
000136416 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000136416 773__ $$g180 (2024), 108976 [12 pp.]$$pComput. biol. med.$$tComputers in biology and medicine$$x0010-4825
000136416 8564_ $$s2462985$$uhttps://zaguan.unizar.es/record/136416/files/texto_completo.pdf$$yVersión publicada
000136416 8564_ $$s2670520$$uhttps://zaguan.unizar.es/record/136416/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136416 909CO $$ooai:zaguan.unizar.es:136416$$particulos$$pdriver
000136416 951__ $$a2025-09-22-14:37:24
000136416 980__ $$aARTICLE