Evaluation of a Free Public Smartphone Application to Detect Leukocoria in High-Risk Children Aged 1 to 6 Years.

Evaluation of a Free Public Smartphone Application to Detect Leukocoria in High-Risk Children Aged 1 to 6 Years.

Vagge, Aldo;Wangtiraumnuay, Nutsuchar;Pellegrini, Marco;Scotto, Riccardo;Iester, Michele;Traverso, Carlo Enrico;
journal of pediatric ophthalmology and strabismus 2019 Vol. 56 pp. 229-232
280
vagge2019evaluationjournal

Abstract

To determine whether a white-eye detector smartphone application (app) can be used as a screening tool to detect early signs of leukocoria in a clinical practice.A prospective, single-visit study of children aged 1 to 6 years presenting to the University Eye Clinic of Genova for a complete pediatric ophthalmologic examination was conducted. All children who met the enrollment criteria were screened by an orthoptist with the CRADLE (Computer Assisted Detector of Leukocoria) smartphone app for an iPhone operating system (iOS) (iPhone 7; Apple, Cupertino, CA). Cycloplegic retinoscopy and fundus examination were performed 30 minutes after one to two drops of a pediatric combination drop, comprising tropicamide 1% and phenylephrine 2.5%, were instilled. A comparison between the two methods yielded sensitivity, specificity, and negative likelihood ratio values.A total of 244 eyes of 122 children were included in the study. Nine eyes of 244 (3.6%) had leukocoria evaluable by penlight caused by amblyogenic cataract, 1 (0.4%) patient had retinopathy of prematurity stage 5, and 3 (1.2%) patients had retinoblastoma. The sensitivity of the white-eye detector app was 15.38% (95% confidence interval [CI]: 1.92% to 45.45%), the specificity was 100% (95% CI: 98.48% to 100.00%), and the negative likelihood ratio was 0.85 (95% CI: 0.67 to 1.07).A smartphone photoscreening app able to detect leukocoria may provide valuable support for children's parents. However, it cannot be considered an alternative to the ophthalmoscope for children. [J Pediatr Ophthalmol Strabismus. 2019;56(4):229-232.].

Citation

ID: 22409
Ref Key: vagge2019evaluationjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
22409
Unique Identifier:
10.3928/01913913-20190516-01
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet