Evidence map›Paper›PMID 34661624›Full record

ArticleTranslational vision science & technology2021

A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Autocapture Algorithm.

Anand Sivaraman, Shanmuganathan Nagarajan, Sivasundara Vadivel, Sreetama Dutt, Priyamvada Tiwari, Srikanth Narayana, Divya Parthasarathy Rao

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Modern Approach to Diabetic Retinopathy Diagnostics.Diagnostics (Basel, Switzerland) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Anand SivaramanResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Shanmuganathan NagarajanResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Sivasundara VadivelResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Sreetama DuttResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Priyamvada TiwariResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Srikanth NarayanaDepartment of Eye and Retinal Diseases, Diacon Hospital, Bangalore, Karnataka, India.
Divya Parthasarathy RaoResearch & Development, Remidio Innovative Solutions Pvt. Ltd., Bangalore, Karnataka, India.
Remidio Innovative Solutions (India) · INDiacon Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Widefield imaging can detect signs of retinal pathology extending beyond the posterior pole and is currently moving to the forefront of posterior segment imaging. We report a novel, smartphone-based, telemedicine-enabled, mydriatic, widefield retinal imaging device with autofocus and autocapture capabilities to be used by non-specialist operators. Methods: The Remidio Vistaro uses an annular illumination design without cross-polarizers to eliminate Purkinje reflexes. The measured resolution using the US Air Force target test was 64 line pairs (lp)/mm in the center, 57 lp/mm in the middle, and 45 lp/mm in the periphery of a single-shot retinal image. An autocapture algorithm was developed to capture images automatically upon reaching the correct working distance. The field of view (FOV) was validated using both model and real eyes. A pilot study was conducted to objectively assess image quality. The FOVs of montaged images from the Vistaro were compared with regulatory-approved widefield and ultra-widefield devices. Results: The FOV of the Vistaro was found to be approximately 65° in one shot. Automatic image capture was achieved in 80% of patient examinations within an average of 10 to 15 seconds. Consensus grading of image quality among three graders showed that 91.6% of the images were clinically useful. A two-field montage on the Vistaro was shown to exceed the cumulative FOV of a seven-field Early Treatment Diabetic Retinopathy Study image. Conclusions: A novel, smartphone-based, portable, mydriatic, widefield imaging device can view the retina beyond the posterior pole with a FOV of 65° in one shot. Translational Relevance: Smartphone-based widefield imaging can be widely used to screen for retinal pathologies beyond the posterior pole.

Indexed as

OphthalmologyTelemedicineAlgorithmsHumansPhotographyPilot ProjectsSmartphone

Identifiers

PMID34661624
PMCPMC8525841
OpenAlexW3207185566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.