136416 20260217205522.0 doi 10.1016/j.compbiomed.2024.108976 sideral 139371 ART-2024-139371 eng Fantaci, Benedetta Universidad de Zaragoza Modeling biological growth of human keratoconus: On the effect of tissue degradation, location and size 2024 Access copy available to the general public Unrestricted Keratoconus 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. info:eu-repo/grantAgreement/ES/DGA/T24-23R info:eu-repo/grantAgreement/EC/H2020/956720/EU/Opto-Biomechanical Eye Research Network/OBERON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956720-OBERON info:eu-repo/grantAgreement/ES/UZ/ICTS NANBIOSIS-U27 Unit-CIBER-BBN info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 6.3 2024 BIOLOGY 7 / 107 = 0.065 2024 Q1 T1 MATHEMATICAL & COMPUTATIONAL BIOLOGY 4 / 67 = 0.06 2024 Q1 T1 ENGINEERING, BIOMEDICAL 22 / 124 = 0.177 2024 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 26 / 177 = 0.147 2024 Q1 T1 1.447 2024 Health Informatics 2024 Q1 Computer Science Applications 2024 Q1 13.0 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Calvo, Begoña Universidad de Zaragoza (orcid)0000-0001-9713-1813 Rodríguez, José Félix 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 180 (2024), 108976 [12 pp.] Comput. biol. med. Computers in biology and medicine 0010-4825 2462985 http://zaguan.unizar.es/record/136416/files/texto_completo.pdf Versión publicada 2670520 http://zaguan.unizar.es/record/136416/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:136416 articulos driver 2026-02-17-20:29:11 ARTICLE