June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Performance of AI-based Notal OCT Analyzer (NOA) in retinal fluid volume quantification from repeated self-imaging with Home OCT in eyes with neovascular age-related macular degeneration (nAMD)
Author Affiliations & Notes
  • Michael J Elman
    Elman Retina Group, Baltimore, Maryland, United States
  • Sidney Schechet
    Elman Retina Group, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Michael Elman National Eye Institute, Code F (Financial Support), Apellis Pharmaceuticals, Code F (Financial Support), Alimera Sciences, Inc, Code F (Financial Support), Clover Therapeutics , Code F (Financial Support), Neurotech Pharmaceuticals, Code F (Financial Support), NGM Biopharmaceuticals, Inc, Code F (Financial Support), Novartis Pharmaceuticals, Inc, Code F (Financial Support), Notal Vision , Code I (Personal Financial Interest); Sidney Schechet Alimera Sciences, Code C (Consultant/Contractor)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 187 – F0034. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Michael J Elman, Sidney Schechet; Performance of AI-based Notal OCT Analyzer (NOA) in retinal fluid volume quantification from repeated self-imaging with Home OCT in eyes with neovascular age-related macular degeneration (nAMD). Invest. Ophthalmol. Vis. Sci. 2022;63(7):187 – F0034.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To evaluate the performance of NOA in 2 different aspects, precision of fluid volume quantification on consecutive in-clinic self-imaging as well as agreement with reference office OCT scans acquired in the same visit

Methods : The NOA is a deep learning algorithm that analyzes scans of the Notal Vision Home OCT (NVHO). The data is comprised of 242 NVHO volume scans acquired from 47 patients and 88 eyes with nAMD. Repeatability of fluid volume was calculated for all eyes with at least two repeats via coefficient of variance (CV). Retinal fluid agreement with manually annotated Cirrus scans was evaluated on a subset of the data and was estimated globally and spatially. Global agreement estimation was calculated with Pearson correlation coefficient (PCC) and Lin's concordance correlation coefficient (CCC). Spatial agreement was calculated with 2D correlation of the fluid thickness maps and on gridded versions of the original maps. All analysis was performed on eyes with clinically meaningful retinal fluid volume greater than 3 nanoliter

Results : NOA repeatability performance was evaluated on a set of scans from 26 eyes resulting in a CV of 4.1%. NOA agreement with Cirrus was evaluated on a subset of 23 eyes with an expert annotation of retinal fluid in the Cirrus scans. The PCC and CCC of retinal fluid volume between Cirrus and the NVHO with NOA were 0.984 and 0.975 respectively. For spatial agreement, the median (IQR) 2D correlation was 0.869 (0.769-0.940) and the median (IQR) 2D correlation of the maps with grids with densities of 20x20,10x10 was 0.841 (0.720-0.941) and 0.915 (0.757-0.963), respectively

Conclusions : The results validate the performance of the home OCT system comprised of a device and an AI-based algorithm. The low CV allows for accurate retinal fluid quantification with small variation in clinically meaningful amounts of retinal fluid. The high PCC and CCC of fluid volume and spatial correlation confirm that the same pathologies were accurately identified by NOA and the reference office OCT. Overall, the results present further evidence for the ability of the Notal Vision Home OCT to remotely monitor nAMD disease activity

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

 

Three examples of paired home OCT and office OCT fluid thickness maps.

Three examples of paired home OCT and office OCT fluid thickness maps.

 

Examples of paired home OCT and office OCT fluid thickness maps at various grid resolution.

Examples of paired home OCT and office OCT fluid thickness maps at various grid resolution.

×
×

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.

×