» Articles » PMID: 27402242

Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera

Overview
Specialty Endocrinology
Date 2016 Jul 13
PMID 27402242
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Diabetic retinopathy (DR) is a leading cause of low vision and blindness. We evaluated the feasibility of using a handheld, noncontact digital retinal camera, Pictor, to obtain retinal images in dilated and undilated eyes for DR screening. We also evaluated the accuracy of ophthalmologists with different levels of training/experience in grading these images to identify eyes with vision-threatening DR.

Methods: A prospective study of diabetic adults scheduled to have dilated eye exams at Duke Eye Center from January to May 2014 was conducted. An imager acquired retinal images pre- and postdilation with Pictor and selected 1 pre- and 1 postdilation image per eye. Five masked ophthalmologists graded images for gradability (based on image focus and centration) and the presence of no, mild, moderate, or severe nonproliferative DR (NPDR) or proliferative DR (PDR). Referable disease was defined as moderate or severe NPDR or PDR on image grading. We evaluated feasibility based on the graders' evaluation of image gradability. We evaluated accuracy of identifying vision-threatening disease (severe NPDR or PDR documented on dilated clinical examination) based on the graders' sensitivity and specificity of grading referable disease.

Results: Images were gradable in 86-94% of predilation and 94-97% of postdilation photos. Compared to the dilated clinical exam, overall sensitivity for identifying vision-threatening DR was 64-88% and specificity was 71-90%.

Conclusions: Pictor can capture retinal images of sufficient quality to screen for DR with and without dilation. Single retinal images obtained using Pictor can identify eyes with vision-threatening DR with high sensitivity and acceptable specificity compared to clinical exam.

Citing Articles

Diagnostic accuracy of a smartphone-based device (VistaView) for detection of diabetic retinopathy: A prospective study.

Shahzad R, Mehmood A, Shabbir D, Siddiqui M PLOS Digit Health. 2024; 3(11):e0000649.

PMID: 39514591 PMC: 11548746. DOI: 10.1371/journal.pdig.0000649.


Early diagnostics and interventional glaucoma.

De Francesco T, Bacharach J, Smith O, Shah M Ther Adv Ophthalmol. 2024; 16:25158414241287431.

PMID: 39421852 PMC: 11483761. DOI: 10.1177/25158414241287431.


Image quality comparison of AirDoc portable retina camera versus eyer in a diabetic retinopathy screening program.

Brant R, Nakayama L, de Oliveira T, de Oliveira J, Ribeiro L, Richter G Int J Retina Vitreous. 2024; 10(1):43.

PMID: 38877585 PMC: 11177418. DOI: 10.1186/s40942-024-00559-z.


Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study.

Naz H, Nijhawan R, Ahuja N Int Ophthalmol. 2024; 44(1):41.

PMID: 38334896 DOI: 10.1007/s10792-024-02975-4.


Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening.

Tomic M, Vrabec R, Hendelja D, Kolaric V, Bulum T, Rahelic D Biomedicines. 2024; 12(1).

PMID: 38255141 PMC: 10813433. DOI: 10.3390/biomedicines12010034.


References
1.
Russo A, Morescalchi F, Costagliola C, Delcassi L, Semeraro F . Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading diabetic retinopathy. Am J Ophthalmol. 2014; 159(2):360-4.e1. DOI: 10.1016/j.ajo.2014.11.008. View

2.
. Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group. Ophthalmology. 1991; 98(5 Suppl):786-806. View

3.
Gupta V, Bansal R, Gupta A, Bhansali A . Sensitivity and specificity of nonmydriatic digital imaging in screening diabetic retinopathy in Indian eyes. Indian J Ophthalmol. 2014; 62(8):851-6. PMC: 4185162. DOI: 10.4103/0301-4738.141039. View

4.
Prakalapakorn S, Wallace D, Freedman S . Retinal imaging in premature infants using the Pictor noncontact digital camera. J AAPOS. 2014; 18(4):321-6. PMC: 4150087. DOI: 10.1016/j.jaapos.2014.02.013. View

5.
Bhargava M, Yim-Lui Cheung C, Sabanayagam C, Kawasaki R, Harper C, Lamoureux E . Accuracy of diabetic retinopathy screening by trained non-physician graders using non-mydriatic fundus camera. Singapore Med J. 2012; 53(11):715-9. View