June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Validation of a Novel Automated Algorithm to Measure Drusen Volume and Area using Swept Source Optical Coherence Tomography Angiography
Author Affiliations & Notes
  • Xiaoshuang Jiang
    Sichuan University West China Hospital, Chengdu, Sichuan, China
  • Mengxi Shen
    University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Liang Wang
    University of Miami School of Medicine, Miami, Florida, United States
  • Luis De Sisternes
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • Mary K Durbin
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • William J Feuer
    University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Philip J Rosenfeld
    University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Giovanni Gregori
    University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Footnotes
    Commercial Relationships   Xiaoshuang Jiang, None; Mengxi Shen, None; Liang Wang, None; Luis De Sisternes, Carl Zeiss Meditec (E); Mary Durbin, Carl Zeiss Meditec (E); William Feuer, None; Philip Rosenfeld, Carl Zeiss Meditec (F), Carl Zeiss Meditec (C); Giovanni Gregori, Carl Zeiss Meditec (F), Carl Zeiss Meditec (P)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 2506. doi:
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      Xiaoshuang Jiang, Mengxi Shen, Liang Wang, Luis De Sisternes, Mary K Durbin, William J Feuer, Philip J Rosenfeld, Giovanni Gregori; Validation of a Novel Automated Algorithm to Measure Drusen Volume and Area using Swept Source Optical Coherence Tomography Angiography. Invest. Ophthalmol. Vis. Sci. 2021;62(8):2506.

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

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Abstract

Purpose : To validate a novel automated swept source optical coherence tomography (SS-OCT) algorithm to measure elevations of the retinal pigment epithelium (RPE) in eyes with non-exudative age-related macular degeneration (neAMD).

Methods : Patients with drusen were enrolled in a prospective OCT study and underwent imaging with both spectral domain OCT (SD-OCT, Cirrus HD-OCT, Carl Zeiss Meditec Inc, Dublin, CA, USA) and SS-OCTA (PLEX Elite, Carl Zeiss Meditec Inc, Dublin, CA, USA) at the same visit using the 6X6mm scan patterns. The RPE elevation measurements (square root area and cube root volume) from the SS-OCTA algorithm were compared with the corresponding measurement produces by the fully automated, validated algorithm on the SD-OCT instrument. Standard deviations of drusen measurements from 4 repeated scans were also calculated to evaluate the reproducibility of the SS-OCTA algorithm.

Results : A total of 53 eyes from 28 patients were scanned on both instruments. A very strong correlation was found between the measurements from the two algorithms (all r > 0.95), although the measurements of drusen area and volume were all larger on the SS-OCTA instrument (Figure 1). This systematic increase in area and volume measurements was due to a more accurate segmentation of Bruch’s membrane in the SS-OCT algorithm. The reproducibility of the new SS-OCTA algorithm was analyzed using a sample of 66 eyes from 43 patients. The standard deviations were small in comparison to the means over the entire range of measurements. There were no significant correlations between the standard deviations and mean measurements of the square root of area and cube root of volume measurements between repeated scans using the SS-OCTA algorithm (Figure 2). The intraclass correlation coefficient was greater than 99% from different macular regions for both the square root area and cube root volume measurements.

Conclusions : A novel automated SS-OCTA algorithm for the quantitative assessment of drusen was validated against the SD-OCT algorithm and was shown to be highly reproducible.

This is a 2021 ARVO Annual Meeting abstract.

 

Comparison of drusen measurements between SD-OCT and swept source SS-OCTA algorithms. A. r=0.94. B.r=0.96. C. r=0.96. D. r=0.96. Solid line is the line of unity with a slope=1.

Comparison of drusen measurements between SD-OCT and swept source SS-OCTA algorithms. A. r=0.94. B.r=0.96. C. r=0.96. D. r=0.96. Solid line is the line of unity with a slope=1.

 

Relationship between the standard deviation and the mean of the square root area and cube root volume measurements using the SS-OCTA algorithm.

Relationship between the standard deviation and the mean of the square root area and cube root volume measurements using the SS-OCTA algorithm.

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