June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Validation of lens thicknes (LT) measurement. Artificial intelligence versus clinician.
Author Affiliations & Notes
  • Raiza Algernon Perez Lucena
    Ophthalmology, University of Illinois at Chicago, Chicago, Illinois, United States
  • Daniela Roca
    Ophthalmology, University of Illinois at Chicago, Chicago, Illinois, United States
  • Jose De La Cruz
    Ophthalmology, University of Illinois at Chicago, Chicago, Illinois, United States
  • Andrea Arteaga
    Ophthalmology, University of Illinois at Chicago, Chicago, Illinois, United States
  • Ana Gonzalez
    Ophthalmology, University of Illinois at Chicago, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   Raiza Perez Lucena None; Daniela Roca None; Jose De La Cruz None; Andrea Arteaga None; Ana Gonzalez None
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 3343 – F0152. doi:
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    • Get Citation

      Raiza Algernon Perez Lucena, Daniela Roca, Jose De La Cruz, Andrea Arteaga, Ana Gonzalez; Validation of lens thicknes (LT) measurement. Artificial intelligence versus clinician.. Invest. Ophthalmol. Vis. Sci. 2022;63(7):3343 – F0152.

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

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Abstract

Purpose : The purpose of this study is to validate the lens thickness (LT) measurement process by anterior segment OCT images, manually and with artificial intelligence.

Methods : A retrospective chart review of patients that underwent uncomplicated FLACS at the Illinois Eye and ear Infirmary was done. 329 anterior segment OCT images of the LenSx Femtosecond platform were reviewed. Lens thickness measurements were done by 4 physicians and interobserver agreement was determined. Using artificial intelligence (AI), the same measurements were made and subsequently compared.

Results : Of the 329 anterior segment images, 36 were excluded because bad quality. Mean LT was 520.3 ± 549.6 µm. Interobserver agreement was high across all 4 physicians. Afterward, LT measurements were compared with AI results. The LT measured by anterior segment OCT showed excellent agreement.

Conclusions : Sensitivity and specificity were high for AI LT measurements. This can improve refractive outcomes when used in biometric formulas.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

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