Literature DB >> 31976345

Smartphone-Assisted Glaucoma Screening in Patients With Type 2 Diabetes: a Pilot Study.

Yannick Bilong1, Christelle Noche Domngang2, Gebding Nwanlih Gimma2, Jean-Claude Katte3, Ted Evina Afetane4, Gilles Kagmeni1, Jean Claude Mbanya5, Nilesh Kumar6, Ashish Sharma6, Eugene Sobngwi5.   

Abstract

We aimed to determine true and false positives of glaucoma screening, relying solely on photos of the retina, taken with a smartphone. We performed a descriptive and analytical study on patients with type 2 diabetes at the National Obesity Centre, Yaoundé, Cameroon. Participating patients had retinal photography sessions using an iPhone 5s (iOS 10.3.3; Apple, Cupertino, CA) coupled to the Make in India Retinal Camera (MIIRetCam; MIIRetCam Inc., Coimbatore, TN, India). Obtained pictures of the retina were stored and transferred via the internet to an ophthalmologist to assess glaucoma. Selected patients were then invited to undergo a conventional ophthalmological examination to confirm the diagnosis. A total of 395 patients were screened, 39 (including 20 women) were diagnosed with suspicion of glaucoma based on retinal photos, a prevalence rate of 9.87%. The following signs were found; Cup/Disc ratio (C/D) ≥0.5 in 64.1% (25/39), asymmetric C/D >0.2 in 35.9% (14/39), papillary haemorrhage in 10.2% (4/39) and retinal nerve fibre deficiency in 2.5% (1/39). Only 14 of 39 patients with suspicion of glaucoma were examined, giving a lost-to-follow-up rate of 64.1%. Chronic open-angle glaucoma was confirmed in 8 patients (true positives) and absent in 6 patients (false positives). The prevalence of smartphone-detected glaucoma and lost-to-follow-up rates were high. So we need to improve this type of screening, with additional tests like transpalpebral applanation tonometer and the smartphone Frequency Doubling Technique visual field combined with better education of patients to increase their adherence to follow-up.
© 2020, Author(s).

Entities:  

Keywords:  Diabetes; Glaucoma; Make in India Retinal Camera (MIIRetCam); Screening; Smartphone

Year:  2020        PMID: 31976345

Source DB:  PubMed          Journal:  Med Hypothesis Discov Innov Ophthalmol        ISSN: 2322-3219


  4 in total

Review 1.  [Smartphone-based fundus imaging: applications and adapters].

Authors:  Linus G Jansen; Thomas Schultz; Frank G Holz; Robert P Finger; Maximilian W M Wintergerst
Journal:  Ophthalmologe       Date:  2021-12-16       Impact factor: 1.059

Review 2.  Association Between Diabetes, Diabetic Retinopathy, and Glaucoma.

Authors:  Yangjiani Li; William Mitchell; Tobias Elze; Nazlee Zebardast
Journal:  Curr Diab Rep       Date:  2021-09-08       Impact factor: 5.430

3.  Smartphone based ROP (S-ROP) screening-opportunities and challenges.

Authors:  Jayaprakash Patil; Laxmi Patil; Nikulaa Parachuri; Nilesh Kumar; Francesco Bandello; Baruch D Kuppermann; Anat Loewenstein; Ashish Sharma
Journal:  Eye (Lond)       Date:  2020-04-28       Impact factor: 3.775

Review 4.  The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.

Authors:  Palaiologos Alexopoulos; Chisom Madu; Gadi Wollstein; Joel S Schuman
Journal:  Front Med (Lausanne)       Date:  2022-06-30
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.