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dc.contributor.authorLee, Sang-Mok
dc.contributor.authorChoi, Hyuk Jin
dc.contributor.authorKim, Mee Kum
dc.contributor.authorWee, Won Ryang
dc.contributor.authorChoi, Heejin
dc.date.accessioned2016-11-21T20:05:58Z
dc.date.available2016-11-21T20:05:58Z
dc.date.issued2016-10
dc.date.submitted2015-12
dc.identifier.issn1471-2415
dc.identifier.urihttp://hdl.handle.net/1721.1/105388
dc.description.abstractBackground: Though the development and fitting of scleral contact lenses are expanding steadily, there is no simple method to provide scleral metrics for scleral contact lens fitting yet. The aim of this study was to establish formulae for estimation of the axial radius of curvature (ARC) of the anterior sclera using ocular biometric parameters that can be easily obtained with conventional devices. Methods: A semi-automated stitching method and a computational analysis tool for calculating ARC were developed by using the ImageJ and MATLAB software. The ARC of all the ocular surface points were analyzed from the composite horizontal cross-sectional images of the right eyes of 24 volunteers; these measurements were obtained using anterior segment optical coherence tomography for a previous study (AS-OCT; Visante). Ocular biometric parameters were obtained from the same volunteers with slit-scanning topography and partial coherence interferometry. Correlation analysis was performed between the ARC at 8 mm to the axis line (ARC[8]) and other ocular parameters (including age). With ARC obtained on several nasal and temporal points (7.0, 7.5, 8.0, 8.5, and 9.0 mm from the axis line), univariate and multivariate linear regression analyses were performed to develop a model for estimating ARC with the help of ocular biometric parameters. Results: Axial length, spherical equivalent, and angle kappa showed correlations with temporal ARC[8] (tARC[8]; Pearson’s r = 0.653, −0.579, and −0.341; P = 0.001, 0.015, and 0.015, respectively). White-to-white corneal diameter (WTW) and anterior chamber depth (ACD) showed correlation with nasal ARC[8] (nARC[8]; Pearson’s r = −0.492 and −0.461; P = 0.015 and 0.023, respectively). The formulae for estimating scleral curvatures (tARC, nARC, and average ARC) were developed as a function of axial length, ACD, WTW, and distance from the axis line, with good determinant power (72 − 80 %; SPSS ver. 22.0). Angle kappa showed strong correlation with axial length (Pearson’s r = −0.813, P <0.001), and the different correlation patterns of nasal and temporal ARC with axial length can be explained by the ocular surface deviation represented by angle kappa. Conclusions: Axial length, ACD, and WTW are useful parameters for estimating the ARC of the anterior sclera, which is important for the haptic design of scleral contact lenses. Angle kappa affects the discrepancies between the nasal and temporal scleral curvature.en_US
dc.description.sponsorshipKorea (South). Ministry of Health & Welfare (Projects A084496 and A120018)en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s12886-016-0355-5en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleEstimation of axial curvature of anterior sclera: correlation between axial length and anterior scleral curvature as affected by angle kappaen_US
dc.typeArticleen_US
dc.identifier.citationLee, Sang-Mok et al. “Estimation of Axial Curvature of Anterior Sclera: Correlation between Axial Length and Anterior Scleral Curvature as Affected by Angle Kappa.” BMC Ophthalmology 16.1 (2016): n. pag.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.mitauthorChoi, Heejin
dc.relation.journalBMC Ophthalmologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-10-08T04:01:46Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.orderedauthorsLee, Sang-Mok; Choi, Hyuk Jin; Choi, Heejin; Kim, Mee Kum; Wee, Won Ryangen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3681-7410
mit.licensePUBLISHER_CCen_US


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