June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Automated fluid volume detection is associated with 1-year treatment requirements in eyes with diabetic macular edema
Author Affiliations & Notes
  • Thomas S Hwang
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • kotaro tsuboi
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • Yukun Guo
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • JIE WANG
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • Christina J Flaxel
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • Steven T Bailey
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • David Huang
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • Yali Jia
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, United States
  • Footnotes
    Commercial Relationships   Thomas Hwang None; kotaro tsuboi Bayer, Code R (Recipient); Yukun Guo None; JIE WANG Optovue, Code P (Patent); Christina Flaxel None; Steven Bailey Optovue, Code F (Financial Support); David Huang Optovue, Code C (Consultant/Contractor), Optovue, Code F (Financial Support), Optovue, Code I (Personal Financial Interest), Optovue, Code P (Patent); Yali Jia Optovue, Code F (Financial Support), Optovue, Code P (Patent), Optos, Code P (Patent)
  • Footnotes
    Support  The study was supported by grants from National Institutes of Health (R01 EY027833, R01 EY024544, DP3 DK104397, P30 EY010572); Unrestricted Departmental Funding Grant and William & Mary Greve Special Scholar Award from Research to Prevent Blindness (New York, NY).
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2524 – F0250. doi:
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    • Get Citation

      Thomas S Hwang, kotaro tsuboi, Yukun Guo, JIE WANG, Christina J Flaxel, Steven T Bailey, David Huang, Yali Jia; Automated fluid volume detection is associated with 1-year treatment requirements in eyes with diabetic macular edema. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2524 – F0250.

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

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Abstract

Purpose : To assess the relationship between optical coherence tomography angiography (OCTA) parameters at the baseline and treatment requirements over 1-year in eyes with diabetic macular edema (DME).

Methods : We followed one eye of each patient with DME without treatment in the preceding 12 months prospectively over one year. Participants underwent 3x3-mm OCTA scans centered on the fovea using Avanti (Optovue) at baseline. DME was defined as eyes with any fluid detected by a custom algorithm in a 3x3-mm area. We measured the foveal avascular zone (FAZ) and extrafoveal (excluding the central 1-mm circle) avascular area (EAA) in the superficial vascular complex (SVC), intermediate capillary plexus (ICP), and deep capillary plexus (DCP). Fluid volume (FV) was assessed in the inner nuclear layer (INL) and outer plexus layer (OPL). Patients received treatment for DME per standard of care. The primary outcome measure was the predictive value of baseline OCTA parameters for treatment requirements for one year.

Results : We included 66 eyes (mean 60 years old, 27 female). The mean number of treatments over 1 year was xx (range 0 to 14), and the mean number of visits was 1.4 ± 2.7 (range 0 to 14). Twenty-three eyes (35%) underwent treatment during the follow-up. These eyes were significantly younger (P = 0.027) and had greater FV in the INL and OPL (P = 0.017 and P = 0.017) at the baseline than eyes without treatment over 1 year. Univariate analyses showed significant associations with the number of treatments for age (rho = -0.28, P = 0.025), FV in the INL (R = 0.35, P = 0.0083), FV in the OPL (R = 0.38, P = 0.0003), and DR severity (R = 0.30, P = 0.016), but not for FAZ, EAA in all layers, and baseline central subfoveal thickness (P > 0.05). In a multivariate linear regression model (R2 = 0.36), FV in the OPL (Standard β = 0.35, P = 0.016) and DR severity (Standard β = 0.36, P = 0.0062) were significant factors.

Conclusions : Greater FV at baseline is a predictor of greater treatment frequency in DME. The vascular metrics at baseline does not predict treatment requirement.

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

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