June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Diagnostic power of local spatial correlations in high-resolution OCT-angiography of young people with Type 1 Diabetes
Author Affiliations & Notes
  • Emilie Marie Francoise Rohan
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
    Discipline of Orthoptics, La Trobe University, Melbourne, Victoria, Australia
  • Corinne F Carle
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
  • Josh van Kleef
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
  • Christopher J Nolan
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
    Endocrinology unit, The Canberra Hospital, Garran, Australian Capital Territory, Australia
  • Bhim Bahadur Rai
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
  • Faran Sabeti
    Optometry, University of Canberra Faculty of Health, Canberra, Australian Capital Territory, Australia
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
  • Konstandina Koklanis
    Discipline of Orthoptics, La Trobe University, Melbourne, Victoria, Australia
  • Meri Vukicevic
    Discipline of Orthoptics, La Trobe University, Melbourne, Victoria, Australia
  • Rohan W Essex
    Ophthalmology, The Canberra Hospital, Canberra, Australian Capital Territory, Australia
  • Ted Maddess
    John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University College of Health and Medicine, Canberra, Australian Capital Territory, Australia
  • Footnotes
    Commercial Relationships   Emilie Rohan None; Corinne Carle Konan Medical USA, Code P (Patent); Josh van Kleef Konan Medical USA, Code P (Patent); Christopher Nolan None; Bhim Rai None; Faran Sabeti None; Konstandina Koklanis None; Meri Vukicevic None; Rohan Essex None; Ted Maddess Konan Medical USA, Code F (Financial Support), EyeCo Pty Ltd, Code I (Personal Financial Interest), Konan Medical USA, Code P (Patent), Konan Medical USA, Code R (Recipient), EyeCo Pty Ltd, Code S (non-remunerative)
  • Footnotes
    Support  BTB grant from MRFF BTBR100196
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 2558. doi:
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      Emilie Marie Francoise Rohan, Corinne F Carle, Josh van Kleef, Christopher J Nolan, Bhim Bahadur Rai, Faran Sabeti, Konstandina Koklanis, Meri Vukicevic, Rohan W Essex, Ted Maddess; Diagnostic power of local spatial correlations in high-resolution OCT-angiography of young people with Type 1 Diabetes. Invest. Ophthalmol. Vis. Sci. 2023;64(8):2558.

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

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Abstract

Purpose : To examine the diagnostic power of novel measures obtained from high-resolution macular OCT-angiography (OCTa) in young people with Type 1 Diabetes (T1D) without retinopathy.

Methods : We examined 26 young persons with T1D (16.4 ± 3.19 y, 13 females), and 18 normal subjects (18.2 ± 4.18 y, 9 females) with Heidelberg Spectralis OCTa. We measured 4 of the highest possible resolution OCTa scans, at each quadrant of the macula, with some overlap. We then combined the 4 data sets forming a single high-resolution set that spanned the macula, at 7 retinal layers. This was done in 32 normal eyes and 46 T1D eyes. Each layer was divided into 18 regions that were half the ETDRS grid regions (Figure A, B). For each region we computed 9 measures: the 4 moment-statistics: mean to kurtosis; and 5 Minkowski Functionals (MFs), which combine local spatial correlations up to 3rd-order. OCTa data was transformed to total deviations (TDs) and pattern deviations (PDs) as in perimetry. We then assessed diagnostic power as area under receiver operator characteristic plots (AUROCs). ROC analysis was done for subjects <17 y (15 T1D, 9 controls), subjects ≥17 y, and all subjects. Retinal photos showed the eyes had no classical retinopathy.

Results : AUROCs were larger in the younger group. For all groups at the worst 3 to 8 regions out of 18 were best, indicating focal changes. The best performing TD measures were the 8-way Perimeter for the Superficial Vascular Plexus (SVP), and the Intermediate and Deep Capillary Plexus (ICP, DCP), with %AUROCs of 78.8 ± 6.21, 79.8 ± 6.18, and 73.0 ± 7.19 (mean ± SE). For the 4-way Euler number the PDs were best for the SVP and Choroid at 82.9 ± 5.86% and 80.3 ± 6.43%. The moment-statistics rarely exceeded 70%. In the older group ICP Perimeter and some ICP moment-statistics were best.

Conclusions : Given the lack of retinopathy diagnostic performance was good. In accounting for local correlations up to 3rd-order the Minkowski functionals appear to be more informative than global moment-statistics. In particular, the Perimeter and Euler number were more informative than the Mean or Area which are related to standard OCTa density measures. The capillary-rich SVP, ICP and DCP were the most informative layers.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Figure. A) The ETDRS thickness grid. B) The 18 regions extracted from an OCTa of the SVP.

Figure. A) The ETDRS thickness grid. B) The 18 regions extracted from an OCTa of the SVP.

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