AIM: To study ocular axial lengths in pediatric subjects without intraocular pathology. METHODS: An Institutional Review Board-approved consecutive retrospective chart review of axial lengths measured in pediatric subjects who underwent examination under anesthesia due to positive family history of retinoblastoma or other inherited ocular disease. Only subjects without any intraocular pathology in either eye were included. Subjects were stratified into age groups. An axial length model using a logarithmic regression algorithm was calculated. RESULTS: Data from 330 eyes of 165 subjects were included in the study. The mean age at the time of examination was 30.62 (SD 18.04)mo. The steepest increase in axial length was present during the first 10mo of life. After 36mo, there was no statistically significant axial length growth. CONCLUSION: This study presents the biggest series of pediatric axial lengths in healthy eyes. The axial length model developed with these data may assist in the diagnosis and management of a wide variety of pediatric ophthalmic diseases.
AIM: To study ocular axial lengths in pediatric subjects without intraocular pathology. METHODS: An Institutional Review Board-approved consecutive retrospective chart review of axial lengths measured in pediatric subjects who underwent examination under anesthesia due to positive family history of retinoblastoma or other inherited ocular disease. Only subjects without any intraocular pathology in either eye were included. Subjects were stratified into age groups. An axial length model using a logarithmic regression algorithm was calculated. RESULTS: Data from 330 eyes of 165 subjects were included in the study. The mean age at the time of examination was 30.62 (SD 18.04)mo. The steepest increase in axial length was present during the first 10mo of life. After 36mo, there was no statistically significant axial length growth. CONCLUSION: This study presents the biggest series of pediatric axial lengths in healthy eyes. The axial length model developed with these data may assist in the diagnosis and management of a wide variety of pediatric ophthalmic diseases.
Authors: Gui-You Yang; Li-Hua Huang; Katrina L Schmid; Chen-Guang Li; Jing-Yi Chen; Guan-Hao He; Li Liu; Zeng-Liang Ruan; Wei-Qing Chen Journal: Int J Environ Res Public Health Date: 2020-02-07 Impact factor: 3.390
Authors: Turid Skei Tønset; Jan Erik Jakobsen; Jon Henrik Tveit; Anna-Katharina L Jørstad; Tone Beate Brevik; Lotte-Guri Bogfjellmo Sten; Liv Drolsum Journal: Acta Ophthalmol Date: 2021-03-19 Impact factor: 3.988