Your browser doesn't support javascript.
loading
Quantitative Foveal Structural Metrics as Predictors of Visual Acuity in Human Albinism.
Woertz, Erica N; Ayala, Gelique D; Wynne, Niamh; Tarima, Sergey; Zacharias, Serena; Brilliant, Murray H; Dunn, Taylor M; Costakos, Deborah; Summers, C Gail; Strul, Sasha; Drack, Arlene V; Carroll, Joseph.
Afiliação
  • Woertz EN; Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Ayala GD; School of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Wynne N; School of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Tarima S; Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Zacharias S; Division of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, United States.
  • Brilliant MH; School of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Dunn TM; Center for Precision Medicine Research, Marshfield Clinic, Marshfield, Wisconsin, United States.
  • Costakos D; Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States.
  • Summers CG; Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States.
  • Strul S; Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
  • Drack AV; Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, Minnesota, United States.
  • Carroll J; Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, Minnesota, United States.
Invest Ophthalmol Vis Sci ; 65(3): 3, 2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38441889
ABSTRACT

Purpose:

To assess the degree to which quantitative foveal structural measurements account for variation in best-corrected visual acuity (BCVA) in human albinism.

Methods:

BCVA was measured and spectral domain optical coherence tomography (SD-OCT) images were acquired for 74 individuals with albinism. Categorical foveal hypoplasia grades were assessed using the Leicester Grading System for Foveal Hypoplasia. Foveal anatomical specialization (foveal versus parafoveal value) was quantified for inner retinal layer (IRL) thickness, outer segment (OS) length, and outer nuclear layer (ONL) thickness. These metrics, participant sex, and age were used to build a multiple linear regression of BCVA. This combined linear model's predictive properties were compared to those of categorical foveal hypoplasia grading.

Results:

The cohort included three participants with type 1a foveal hypoplasia, 23 participants with type 1b, 33 with type 2, ten with type 3, and five with type 4. BCVA ranged from 0.08 to 1.00 logMAR (mean ± SD 0.53 ± 0.21). IRL ratio, OS ratio, and ONL ratio were measured in all participants and decreased with increasing severity of foveal hypoplasia. The best-fit combined linear model included all three quantitative metrics and participant age expressed as a binary variable (divided into 0-18 years and 19 years or older; adjusted R2 = 0.500). This model predicted BCVA more accurately than a categorical foveal hypoplasia model (adjusted R2 = 0.352).

Conclusions:

A quantitative model of foveal specialization accounts for more variance in BCVA in albinism than categorical foveal hypoplasia grading. Other factors, such as optical aberrations and eye movements, may account for the remaining unexplained variance.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Albinismo / Fóvea Central Limite: Adolescent / Child / Child, preschool / Humans / Infant / Newborn Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Albinismo / Fóvea Central Limite: Adolescent / Child / Child, preschool / Humans / Infant / Newborn Idioma: En Ano de publicação: 2024 Tipo de documento: Article