Journal article
Computer-Assisted Digital Image Analysis of Plus Disease in Retinopathy of Prematurity
Seminars in Ophthalmology: MEEI Fellows Review 2015: Translational Research, Vol.31(1-2), pp.159-162
03/03/2016
DOI: 10.3109/08820538.2015.1114859
PMID: 26959142
Abstract
The objective of this study is to review the current state and role of computer-assisted analysis in diagnosis of plus disease in retinopathy of prematurity. Diagnosis and documentation of retinopathy of prematurity are increasingly being supplemented by digital imaging. The incorporation of computer-aided techniques has the potential to add valuable information and standardization regarding the presence of plus disease, an important criterion in deciding the necessity of treatment of vision-threatening retinopathy of prematurity. A review of literature found that several techniques have been published examining the process and role of computer aided analysis of plus disease in retinopathy of prematurity. These techniques use semiautomated image analysis techniques to evaluate retinal vascular dilation and tortuosity, using calculated parameters to evaluate presence or absence of plus disease. These values are then compared with expert consensus. The study concludes that computer-aided image analysis has the potential to use quantitative and objective criteria to act as a supplemental tool in evaluating for plus disease in the setting of retinopathy of prematurity.
Details
- Title: Subtitle
- Computer-Assisted Digital Image Analysis of Plus Disease in Retinopathy of Prematurity
- Creators
- Pavlina S Kemp - Department of Ophthalmology, Boston Children's HospitalDeborah K VanderVeen - Department of Ophthalmology, Boston Children's Hospital
- Resource Type
- Journal article
- Publication Details
- Seminars in Ophthalmology: MEEI Fellows Review 2015: Translational Research, Vol.31(1-2), pp.159-162
- Publisher
- Taylor & Francis
- DOI
- 10.3109/08820538.2015.1114859
- PMID
- 26959142
- ISSN
- 0882-0538
- eISSN
- 1744-5205
- Language
- English
- Date published
- 03/03/2016
- Academic Unit
- Stead Family Department of Pediatrics; Ophthalmology and Visual Sciences
- Record Identifier
- 9983979965802771
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