000165975 001__ 165975
000165975 005__ 20260116163026.0
000165975 0247_ $$2doi$$a10.1016/j.optom.2025.100583
000165975 0248_ $$2sideral$$a147217
000165975 037__ $$aART-2025-147217
000165975 041__ $$aeng
000165975 100__ $$aTolón Zardoya, Nerea
000165975 245__ $$aA feasibility study of 3D printing technology for simulating rigid gas permeable contact lens fitting
000165975 260__ $$c2025
000165975 5060_ $$aAccess copy available to the general public$$fUnrestricted
000165975 5203_ $$aPurpose: To assess the feasibility of a novel method for simulating a Rigid Gas Permeable Contact Lenses (RGP-CL) fitting using 3-D printed sclero-corneal surfaces (SCSs).
Methods: The experiment involved the fabrication of two resin SCSs with biconic corneal geometry and the participation of 22 optician-optometrists as observers. Participants compared the fluorescein patterns of three RGP-CL fitted on each SCS with theoretical patterns generated through computer simulation. To standardize visualization, comparisons were conducted through a multiple-choice questionnaire composed of 6 questions. Each question presented one main fluorescein pattern (either theoretical or experimental) and four additional patterns obtained using the other technique. Optometrists were required to select the fluorescein pattern more similar to the main pattern. A statistical analysis was performed to evaluate the accuracy of the comparison between the two methods.
Results: The surface quality of the printed SCSs was sufficient to produce consistent and interpretable fluorescein patterns. In all questions, at least 70 % of optometrists selected the correct pattern. In four questions, more than 90 % identified the correct pattern, and in one question accuracy reached 100 %. The correct option was always the most frequently chosen, with a significantly higher rate than the second most selected option (p = 0.05).
Conclusions: The ability of most optometrists to correctly identify patterns suggests that, even without polishing, 3-D printed SCSs can simulate fluorescein patterns closely resembling theoretical ones. This approach shows promise as a supportive tool for training in RGP-CL fitting.
000165975 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E44-20R$$9info:eu-repo/grantAgreement/ES/MICIU/PID2020-114311RA-I00
000165975 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000165975 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000165975 700__ $$aGargallo Yebra, Diana$$uUniversidad de Zaragoza
000165975 700__ $$0(orcid)0000-0002-9068-7728$$aÁvila Gómez, Francisco J.$$uUniversidad de Zaragoza
000165975 700__ $$0(orcid)0000-0002-1124-0363$$aAres García, Jorge$$uUniversidad de Zaragoza
000165975 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica
000165975 773__ $$g19 (2025), 100583 [7 pp.]$$pJ. optom.$$tJournal of Optometry$$x1888-4296
000165975 8564_ $$s1121869$$uhttps://zaguan.unizar.es/record/165975/files/texto_completo.pdf$$yVersión publicada
000165975 8564_ $$s2738803$$uhttps://zaguan.unizar.es/record/165975/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000165975 909CO $$ooai:zaguan.unizar.es:165975$$particulos$$pdriver
000165975 951__ $$a2026-01-16-14:54:02
000165975 980__ $$aARTICLE