Real-time, computer-assisted quantification of plus disease in retinopathy of prematurity at the bedside

Copyright 2014, SLACK Incorporated.

Bibliographische Detailangaben
Veröffentlicht in:Ophthalmic surgery, lasers & imaging retina. - 2013. - 45(2014), 6 vom: 21. Nov., Seite 542-8
1. Verfasser: Cabrera, Michelle T (VerfasserIn)
Weitere Verfasser: Freedman, Sharon F, Hartnett, Mary Elizabeth, Stinnett, Sandra S, Chen, Bei Bei, Wallace, David K
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Ophthalmic surgery, lasers & imaging retina
Schlagworte:Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't
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100 1 |a Cabrera, Michelle T  |e verfasserin  |4 aut 
245 1 0 |a Real-time, computer-assisted quantification of plus disease in retinopathy of prematurity at the bedside 
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500 |a Date Revised 13.11.2018 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a Copyright 2014, SLACK Incorporated. 
520 |a BACKGROUND AND OBJECTIVE: Plus disease is the primary indication for retinopathy of prematurity (ROP) treatment, but in borderline cases ophthalmologists may struggle to judge whether it is present. ROPtool is a semi-automated computer program that objectively assesses plus disease by measuring retinal vascular tortuosity and width. This study determined ROPtool's bedside diagnostic accuracy concurrent with ROP screening 
520 |a PATIENTS AND METHODS: ROP screening examinations were recorded using Keeler video indirect ophthalmoscopy. A masked operator traced images in ROPtool at the bedside, comparing ROPtool's plus diagnosis to the examiner's clinical judgment 
520 |a RESULTS: Four hundred sixty-four examinations (129 eyes of 65 infants) were performed. ROPtool's sensitivity, specificity, and area under the receiver operating characteristic curve for plus diagnosis was 71% (CI: 38%-100%), 93% (CI: 89%-98%) and 0.87, and for pre-plus or worse was 68% (CI: 51%-85%), 82% (CI: 77%-86%) and 0.81, respectively 
520 |a CONCLUSION: ROPtool can provide a real-time second opinion of plus disease at the bedside. Image enhancement technologies may further improve ROPtool's diagnostic accuracy 
650 4 |a Journal Article 
650 4 |a Research Support, N.I.H., Extramural 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Freedman, Sharon F  |e verfasserin  |4 aut 
700 1 |a Hartnett, Mary Elizabeth  |e verfasserin  |4 aut 
700 1 |a Stinnett, Sandra S  |e verfasserin  |4 aut 
700 1 |a Chen, Bei Bei  |e verfasserin  |4 aut 
700 1 |a Wallace, David K  |e verfasserin  |4 aut 
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