June 2023
Volume 64, Issue 9
Open Access
ARVO Imaging in the Eye Conference Abstract  |   June 2023
Minimal Number of Averaged OCTA Scans Needed to Distinguish Sickle Cell Disease and Unaffected Eyes Using Intermittent Perfusion Indexing
Author Affiliations & Notes
  • Hernan Rios
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Luis Muncharaz-Duran
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Sofia Ahsanuddin
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Jordan Bellis
    Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Maxime Centeno
    Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Chiemika Ihiasota
    Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Elizabeth Stidham
    Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Richard B Rosen
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Jeffrey A. Glassberg
    Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
    Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Toco YP Chui
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Footnotes
    Commercial Relationships   Hernan Rios, None; Luis Muncharaz-Duran, None; Sofia Ahsanuddin, None; Jordan Bellis, None; Maxime Centeno, None; Chiemika Ihiasota, None; Elizabeth Stidham, None; Richard Rosen, Opticology (I), OptoVue (P), OptoVue, Boehringer-Ingelheim, Astellas, OD-OS, Genentech-Roche, NanoRetina (C); Jeffrey Glassberg, Novartis, CSL Behring, Sanius health (C), Roche, GBT (F); Toco Chui, None
  • Footnotes
    Support  NIH Grant R01EY027301 and R01HL159116, also additional funding for this research was provided by the Marrus Family Foundation
Investigative Ophthalmology & Visual Science June 2023, Vol.64, PB0075. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Hernan Rios, Luis Muncharaz-Duran, Sofia Ahsanuddin, Jordan Bellis, Maxime Centeno, Chiemika Ihiasota, Elizabeth Stidham, Richard B Rosen, Jeffrey A. Glassberg, Toco YP Chui; Minimal Number of Averaged OCTA Scans Needed to Distinguish Sickle Cell Disease and Unaffected Eyes Using Intermittent Perfusion Indexing. Invest. Ophthalmol. Vis. Sci. 2023;64(9):PB0075.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : Intermittent perfusion Indexing (IPI) using OCTA has been demonstrated as a measure of retinal capillary vaso-occlusion risk in sickle cell disease (SCD) patients. Currently, this measure requires two imaging sessions with 10 sequential scans each, spaced one hour apart. To facilitate clinical applicability, we performed a cross-sectional clinical study to determine the minimal number of scans at each session to accurately distinguish SCD from unaffected eyes using IPI

Methods : Subjects were imaged at two sessions, one hour apart. Each session consisted of 10 sequential 3x3mm scans at the fovea, acquired with a commercial OCT System (Avanti RTVue-XR; Optovue). Retinal full vascular slabs including the inner limiting membrane to 9μm below the outer plexiform layer were registered and averaged on ImageJ. IPIs were calculated for between-session and within-session comparisons (PMCID:8176806). For between-session comparison, 10 individual sets with number of scans from 1 to 10 were created for each session. Scans were randomly selected from each session. Each baseline session set was averaged and compared with its equivalent follow-up session set to obtain the IPI. For within-session comparison, in each session the average of the initial 5 scans was compared against the average of the last 5 scans. Area under the curve (AUC) analysis was used to identify the set comparison with the highest performance for distinguishing SCD and unaffected eyes

Results : 100 subjects were included (37 unaffected and 63 SCD eyes). Median±interquartile range (IQR) age for unaffected and SCD were 26±6 and 31±12 years respectively. IPIs from SCD eyes were higher than unaffected eyes across all set comparisons. Significantly, the AUC indicated that set number 8 (8 scans from each session, See Fig. 1) provided peak accuracy for distinguishing SCD from unaffected eyes according to IPI (AUC=0.93, 95% CI=0.88–0.98). Comparing within-session, with no break time between sets, revealed that IPIs from SCD eyes were not significantly different from unaffected eyes

Conclusions : The minimal number of scans needed for optimal IPI performance in distinguishing SCD and unaffected eyes was 8 scans per session. The separation in time between sessions appears critical to separate groups using IPI. This study suggests that fewer of scans per session can be used to obtain optimal IPI separation

This abstract was presented at the 2023 ARVO Imaging in the Eye Conference, held in New Orleans, LA, April 21-22, 2023.

 

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×