June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Contrast Sensitivity Function in Cataract Disease measured with Active Learning
Author Affiliations & Notes
  • Augustine Bannerman
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Megan Kasetty
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Filippos Vingopoulos
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Itika Garg
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Rebecca Silverman
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Zhonghui Luo
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • June Cho
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Raviv Katz
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Alice Carlyle Lorch
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Luis Andres Lesmes
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • John Brown Miller
    Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Augustine Bannerman, None; Megan Kasetty, None; Filippos Vingopoulos, None; Itika Garg, None; Rebecca Silverman, None; Zhonghui Luo, None; June Cho, None; Raviv Katz, None; Alice Lorch, None; Luis Lesmes, None; John Miller, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 520. doi:
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    • Get Citation

      Augustine Bannerman, Megan Kasetty, Filippos Vingopoulos, Itika Garg, Rebecca Silverman, Zhonghui Luo, June Cho, Raviv Katz, Alice Carlyle Lorch, Luis Andres Lesmes, John Brown Miller; Contrast Sensitivity Function in Cataract Disease measured with Active Learning. Invest. Ophthalmol. Vis. Sci. 2021;62(8):520.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To characterize contrast sensitivity function (CSF) in cataract and pseudophakia compared to healthy control eyes using a novel quick CSF test with active learning algorithms.

Methods : CSF was prospectively measured in eyes with visually significant cataract, at least 2+ nuclear sclerosis (NS) and visual acuity (VA) more than 20/50 (cataract group), as well as in pseudophakic eyes (pseudophakic group) and in healthy control eyes with no more than 1+ NS and no visual complaints (control group), using the novel Manifold Contrast Vision Meter (Adaptive Sensory Technology, San Diego, CA). Outcomes included Area under the Log CSF (AULCSF), contrast acuity (CA), and CS thresholds at 1, 1.5, 3, 12, and 18 cycles per degree (cpd). A subgroup analysis as performed on cataract eyes with good acuity (VA ≥ 20/25)

Results : A total of 167 eyes were included, 58 eyes in the cataract group, 77 controls, and 32 pseudophakic eyes with respective AULCSF of 1.053 (0.352) vs 1.228 (0.318) vs 1.256 (0.360). When controlling for VA and age in our multivariate regression model, the presence of cataract was associated with significantly reduced AULCSF (P= 0.04, β= -0.11) and contrast threshold at 6 cpd (P= 0.01, β= -0.16) compared to controls. Of note, contrast threshold at 6 cpd was significantly reduced even in the subgroup of cataract eyes with VA ≥ 20/25 (P=0.02, β=-0.16).The presence of cataract was not associated with significantly reduced CSF threshold at lower (1, 1.5, 3 cpd) or higher (12, 18 cpd) spatial frequencies. Pseukophakia was not associated with significantly different contrast outcome measures compared to control eyes.

Conclusions : The novel qCSF test was able to detect disproportionate significant contrast deficits at 6 cpd in cataract eyes, that remained significant even in the cataract eyes with VA ≥ 20/25.
CSF testing may be a valuable addition to standard cataract evaluation to enhance surgical decision-making, particularly in patients with subjective visual complaints despite good VA.

This is a 2021 ARVO Annual Meeting abstract.

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