Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy
| UDC.coleccion | Investigación | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.endPage | 6 | |
| UDC.grupoInv | Grupo de Visión Artificial e Recoñecemento de Patróns (VARPA) | |
| UDC.institutoCentro | INIBIC - Instituto de Investigacións Biomédicas de A Coruña | |
| UDC.issue | 104752 | |
| UDC.journalTitle | Microvascular Research | |
| UDC.startPage | 1 | |
| UDC.volume | 157 | |
| dc.contributor.author | Raffa, Lina H. | |
| dc.contributor.author | Raffa, Enass H. | |
| dc.contributor.author | S. Hervella, Álvaro | |
| dc.contributor.author | Ramos, Lucía | |
| dc.contributor.author | Novo Buján, Jorge | |
| dc.contributor.author | Rouco, José | |
| dc.contributor.author | Ortega Hortas, Marcos | |
| dc.date.accessioned | 2025-10-14T18:48:03Z | |
| dc.date.available | 2025-10-14T18:48:03Z | |
| dc.date.issued | 2025 | |
| dc.description | This version of the article has been accepted for publication. The Version of Record is available online at https://doi.org/10.1016/j.mvr.2024.104752. | |
| dc.description.abstract | [Abstract]: Objective: We assessed the predictive efficacy of automatically quantified retinal vascular tortuosity from the fundus pictures of patients with sickle cell disease (SCD) without evident retinopathy. Methods: Retinal images were obtained from 31 healthy and 31 SCD participants using fundus imaging and analyzed using a novel computational automated metric assessment. The local and global vessel tortuosity and their relationship with systemic disease parameters were analyzed based on the images. Results: SCD arteries had an increased local tortuosity index compared to the controls (0.0007 ± 0.0019 vs. 0.0006 ± 0.0014, p = 0.019). Furthermore, the SCD patients had wider vessel caliber mainly in the arteries (14.68 ± 5.3 vs. 14.06 ± 5.3, p < 0.001). The SCD global tortuosity did not differ significantly from that of the controls (p = 0.598). The female participants had significantly reduced retinal vessel tortuosity indices compared to the male participants (p = 0.018). Conclusion: Retinal arterial tortuosity and caliber were reliable and objective measures that could be used as a non-invasive prognostic and diagnostic indicator in sickle cell retinopathy. Further studies are required to correlate these local vascular parameters to systemic risk factors and monitor their progression and change over time. | |
| dc.description.sponsorship | This work was supported by Ministerio de Ciencia, Innovación y Universidades, Government of Spain, through the PID2023-148913OB-I00, TED2021-131201B-I00, and PDC2022-133132-I00 research projects; Consellería de Cultura, Educación e Universidade, Xunta de Galicia, through Grupos de Referencia Competitiva (ref. ED431C 2024/33) and a postdoctoral fellowship (ref. ED481B-2022-025); and Instituto de Salud Carlos III (ISCIII) under grant FORT23/00010 as part of the Ministerio de Ciencia, Innovación y Universidades Program. | |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2024/33 | |
| dc.description.sponsorship | Xunta de Galicia; ED481B-2022-025 | |
| dc.identifier.citation | Raffa, L. H., Raffa, E. H., Hervella, A. S., Ramos, L., Novo, J., Rouco, J., & Ortega, M. (2025). Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy. Microvascular Research, 157, 104752. https://doi.org/10.1016/j.mvr.2024.104752 | |
| dc.identifier.doi | 10.1016/j.mvr.2024.104752 | |
| dc.identifier.issn | 0026-2862 | |
| dc.identifier.issn | 1095-9319 | |
| dc.identifier.uri | https://hdl.handle.net/2183/45982 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2023-148913OB-I00/ES/IA CONFIABLE Y EXPLICABLE PARA EL DIAGNOSTICO POR IMAGEN MEDICA ASISTIDO POR ORDENADOR: NUEVOS AVANCES Y APLICACIONES | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/PDC2022-133132-I00/ES/MEJORAS EN EL DIAGNÓSTICO E INVESTIGACIÓN CLÍNICO MEDIANTE TECNOLOGÍAS INTELIGENTES APLICADAS LA IMAGEN OFTALMOLÓGICA | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-131201B-I00/ES/DIAGNÓSTICO DIGITAL: TRANSFORMACIÓN DE LA DETECCIÓN DE ENFERMEDADES NEUROVASCULARES Y DEL TRATAMIENTO DE LOS PACIENTES | |
| dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/FORT23%2F00010/ES/Solicitud del Instituto de Investigación Biomédica de A Coruña (INIBIC) para el Programa FORTALECE | |
| dc.relation.uri | https://doi.org/10.1016/j.mvr.2024.104752 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Blood vessel | |
| dc.subject | Deep learning | |
| dc.subject | Digital image processing | |
| dc.subject | Retina | |
| dc.subject | Sickle cell retinopathy | |
| dc.subject | Tortuosity | |
| dc.title | Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy | |
| dc.type | journal article | |
| dc.type.hasVersion | AO | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | a75ad3bd-a726-4f2b-9b0b-fba6fef730b8 | |
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| relation.isAuthorOfPublication | 1fb98665-ea68-4cd3-a6af-83e6bb453581 | |
| relation.isAuthorOfPublication.latestForDiscovery | a75ad3bd-a726-4f2b-9b0b-fba6fef730b8 |
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