Evaluation of the Inclusion Of Spectral Domain Optical Coherence Tomography in a Telemedicine Diabetic Retinopathy Screening Program: A Real Clinical Practice

AUTHORS:

Arruabarrena C, Rodríguez-Miguel A, Allendes G, Vera C, Son B, Teus MA

PUBLICATION:

Retina. 2023 Aug 1;43(8):1308-1316. doi: 10.1097/IAE.0000000000003832.

Study Purpose

To evaluate whether combining spectral domain optical coherence tomography (SD-OCT) with monoscopic fundus photography using a nonmydriatic camera (MFP-NMC) improves the accuracy of diabetic macular edema (DME) referrals in a teleophthalmology diabetic retinopathy screening program

Overview

Study Design

    Cross-sectional study

# of Eyes/
Patients

3,819 eyes of 1,925 patients with diabetes (Type I or II)

Study Device

    Topcon 3D OCT-1 Maestro: 3-field MFP-NMC centered on macula, disc, and superior–temporal, and a 6×6 macula raster OCT scan

Outcome Measures

Prevalence of DME using different diagnostic criteria defined for MFP-NMC and SD-OCT, diagnostic accuracy of DME when SD-OCT was added to a retinography based teleophthalmology DR screening program

Results

  • The prevalence of DME in MFP-NMC was found to be 1.52%, 1.83%, and 1.22% according to English National Screening Program (ENSP), Scotland National Screening Program (SNSP), and central hard exudates criteria, respectively
  • Using SD-OCT, the prevalence of DME was 1.75% for center involved diabetic macular edema, 8.77% had a macular volume of >8 mm3, 8.45% showed foveal or parafoveal thickening, and 1.54% had foveal or parafoveal thickening with anatomical signs of DME
  • Sensitivity barely reached 50% in MFP-NMC and less for the quantitative criteria of spectral domain optical coherence tomography
  • When macular thickening and anatomical signs of DME were considered for the OCT criterion, sensitivity increased to 88.3% with a 99.8% specificity, and the false DMEs and non-gradable images were reduced

IMOvifa reduced measurement time by

39%

Conclusions

• Incorporation of SD-OCT into MFP-NMC using an all-in-one device within a well-established diabetic screening program improved the diagnostic accuracy of DME. • Macular thickening and anatomical signs showed the highest suitability for screening, with a sensitivity of 88.3% and a specificity of 99.8%. Notably, MFP-NMC alone missed half of the true DMEs that lacked indirect signs.

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