Purpose: To assess ocular biometric outcomes following intravitreal bevacizumab (IVB) monotherapy for retinopathy of prematurity (ROP) and compare these results with those of laser photocoagulated infants and with the ones with spontaneously regressed ROP.
Materials And Methods: Premature infants including those who underwent IVB monotherapy (Group 1) or laser photocoagulation (Group 2) for ROP and infants with spontaneously regressed ROP (Group 3) were recruited for the study. Refractive errors and ocular biometric parameters (Axial length [AL], anterior chamber depth [ACD], and lens thickness [LT]) were measured at adjusted 1 year of age in all subjects.
Results: There was no significant difference of spherical equivalent (SE) value between the groups (P = 0.781). The incidence of high myopia was 7.4% in Group 1 and 12.7% in Group 2 (P = 0.081). No infants exhibited high myopia in Group 3. LT was greater in Group 2 when compared to Group 1 and Group 3 (P = 0.011). Lower SE was significantly correlated to longer AL in Group 1 (r = -0.656, P = 0.015). There was a significant positive correlation between SE and ACD values in Group 2 (r = 0.391, P = 0.005).
Conclusion: The study showed no significant difference of SE between the groups. High myopia was only present among the treated infants either with IVB or laser. Infants who received laser treatment significantly had thicker lenses.
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http://dx.doi.org/10.3109/09273972.2016.1159232 | DOI Listing |
PLoS One
January 2025
School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR.
To investigate the pattern and threshold of physiological growth, defining as axial length (AL) elongation that results in little refraction progression, among Chinese children and teenagers, a total of 916 children aged between 7 and 18 years from a 6-year longitudinal cohort study were included for analysis. Ocular biometry, cycloplegic refraction and demographic data were obtained annually. Physiological growth was calculated based on myopic progression and Gullstrand eye model, respectively.
View Article and Find Full Text PDFInt Ophthalmol
January 2025
Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, No.1, Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Purpose: To compare the accuracy of intraocular lens (IOL) power calculation formulas in cataract patients with keratoconus (KC).
Methods: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis statementand and was registered on PROSPERO (CRD42024568997). Pubmed, Web of Science, Cochrane Library, and EMBASE were searched for retrospective and prospective clinical studies published until October 2024.
Quant Imaging Med Surg
January 2025
Aier Institute of Refractive Surgery, Refractive Surgery Center, Guangzhou Aier Eye Hospital, Guangzhou, China.
Background: Whether the correlations between anterior and posterior corneal parameters vary according to different conditions is unknown. We aimed to investigate the anterior-to-posterior correlations of corneal parameters according to different refractive status and anterior segment dimension.
Methods: A total of 8,365 myopic eyes undergoing refractive surgery between 2017 and 2019 from multiple ophthalmic centers were consecutively included in the study.
BMC Ophthalmol
January 2025
Department of Ophthalmology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, China.
Background: This study aims to comprehensively evaluate the predictive accuracy of six widely used toric intraocular lens (IOL) calculators in eyes undergoing cataract surgery with toric IOL implantation.
Methods: This retrospective study reviewed 53 eyes of 53 patients that underwent cataract extraction with toric IOL implantation using Zeiss 709 M. Six toric IOL calculators were evaluated: Barrett toric calculator (with predicted PCA, measured PCA, and TK), Kane formula (predicted PCA), and EVO 2.
Front Artif Intell
January 2025
School of Medicine, Stanford University, Palo Alto, CA, United States.
Given close relationships between ocular structure and ophthalmic disease, ocular biometry measurements (including axial length, lens thickness, anterior chamber depth, and keratometry values) may be leveraged as features in the prediction of eye diseases. However, ocular biometry measurements are often stored as PDFs rather than as structured data in electronic health records. Thus, time-consuming and laborious manual data entry is required for using biometry data as a disease predictor.
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