Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy

UDC.coleccionInvestigación
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage6
UDC.grupoInvGrupo de Visión Artificial e Recoñecemento de Patróns (VARPA)
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruña
UDC.issue104752
UDC.journalTitleMicrovascular Research
UDC.startPage1
UDC.volume157
dc.contributor.authorRaffa, Lina H.
dc.contributor.authorRaffa, Enass H.
dc.contributor.authorS. Hervella, Álvaro
dc.contributor.authorRamos, Lucía
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorRouco, José
dc.contributor.authorOrtega Hortas, Marcos
dc.date.accessioned2025-10-14T18:48:03Z
dc.date.available2025-10-14T18:48:03Z
dc.date.issued2025
dc.descriptionThis 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.sponsorshipThis 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.sponsorshipXunta de Galicia; ED431C 2024/33
dc.description.sponsorshipXunta de Galicia; ED481B-2022-025
dc.identifier.citationRaffa, 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.doi10.1016/j.mvr.2024.104752
dc.identifier.issn0026-2862
dc.identifier.issn1095-9319
dc.identifier.urihttps://hdl.handle.net/2183/45982
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo: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.projectIDinfo: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.projectIDinfo: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.projectIDinfo: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.urihttps://doi.org/10.1016/j.mvr.2024.104752
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBlood vessel
dc.subjectDeep learning
dc.subjectDigital image processing
dc.subjectRetina
dc.subjectSickle cell retinopathy
dc.subjectTortuosity
dc.titleComputer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy
dc.typejournal article
dc.type.hasVersionAO
dspace.entity.typePublication
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