July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Large-scale analysis of intraocular lens opacifications using digital automated detection software
Author Affiliations & Notes
  • Christina Mastromonaco
    The MUHC-McGill University Ocular Pathology & Translational Research Laboratory, Quebec, Canada
  • Matthew Balazsi
    Medical Parachute, Quebec, Canada
  • Julia Burnier
    The MUHC-McGill University Ocular Pathology & Translational Research Laboratory, Quebec, Canada
  • Jacqueline Coblentz
    The MUHC-McGill University Ocular Pathology & Translational Research Laboratory, Quebec, Canada
  • Jade Lasiste
    The MUHC-McGill University Ocular Pathology & Translational Research Laboratory, Quebec, Canada
  • Miguel N Burnier
    The MUHC-McGill University Ocular Pathology & Translational Research Laboratory, Quebec, Canada
  • Footnotes
    Commercial Relationships   Christina Mastromonaco, None; Matthew Balazsi, Medical Parachute (P), Medical Parachute (I); Julia Burnier, None; Jacqueline Coblentz, None; Jade Lasiste, None; Miguel Burnier, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 2078. doi:https://doi.org/
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      Christina Mastromonaco, Matthew Balazsi, Julia Burnier, Jacqueline Coblentz, Jade Lasiste, Miguel N Burnier; Large-scale analysis of intraocular lens opacifications using digital automated detection software. Invest. Ophthalmol. Vis. Sci. 2019;60(9):2078. doi: https://doi.org/.

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

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Abstract

Purpose : Intraocular lens (IOL) biomaterial and design are features that may influence posterior capsular opacification (PCO) development. PCO detection was recently standardized using Automated Detector Opacification Software (ADOS) to detect the presence and extent of opacities. Herein, we have refined our software analysis (ADOS 2.0) to control for IOL color and studied the IOL factors that have implications in the development of opacifications.

Methods : A total of 440 eyes with IOLs were obtained from the Minnesota Eye Bank, along with clinical history, date of cataract surgery and IOL model number. The capsular bag (CB) with the in situ IOL was removed and imaged using the Olympus DSX100 stereoscope. Control images of the blue-filtering (yellow) IOLs and the non-blue filtering (clear) IOLs were taken. PCO outcome was quantified on CB images using ADOS 2.0. Intensity and area of the opacification within the IOL optic edge, intra-optic edge (IOE=intensity*area), and in Soemmering’s ring (SR=intensity*area) was measured. The blue-filtering IOLs and the non-blue filtering IOLs were controlled and standardized for the difference in luminosity. Statistical analysis assessed which IOL characteristics and patient- related factors correlated with PCO. IOL factors included material, edge design and time from cataract surgery to death. The patient factors included gender and age.

Results : The mean IOL implant time was 85.6 months and the mean age of patients was 82+/- 8.32 years. Significantly less IOE and SR opacities were seen in IOLs of hydrophobic acrylic material (p=0.0055, p<0.0001). Square edge optic design showed significantly less SR opacities compared with opti-edge and round edge design (p<0.0001). No differences were seen between haptic piece design in both IOE and SR. Blue-light filter lenses (yellow IOLs) had significantly less SR opacities then non-filter lenses (p<0.0001). A positive relationship was demonstrated between IOL implant time and SR opacities. (R2= 0.281). There were no differences in IOE and SR based on gender or age.

Conclusions : Gender and age do not correlate with PCO. The IOL factors that reduce PCO include hydrophobic material and the square edge design. Blue-light filtering intraocular lenses displayed less PCO when compared to all lenses. Finally, the duration of the intraocular lens implant correlates with PCO progression.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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