Literature DB >> 19393518

Tortuosity of arterioles and venules in quantifying plus disease.

Suzanne C Johnston1, David K Wallace, Sharon F Freedman, Tammy L Yanovitch, Zheen Zhao.   

Abstract

BACKGROUND: Plus disease is the major criterion for laser treatment of retinopathy of prematurity. ROPtool is a computer program that traces retinal blood vessels and measures their tortuosity. Our objectives were to determine (1) whether examiners could accurately discriminate between arterioles and venules and (2) whether tortuosity sufficient for plus disease and pre-plus disease was assessed most accurately by considering arterioles, venules, or both.
METHODS: One hundred retinal vessels were identified in 25 images randomly selected from 184 total images. Three pediatric ophthalmologists independently designated vessels as arteriole or venule. Seventy-seven images that had at least 1 traceable arteriole and venule in each quadrant were analyzed by ROPtool, and the results were compared with the consensus of 3 expert examiners. Receiver operating characteristics (ROC) curves were generated and areas under the curves calculated to quantify the diagnostic utility of ROPtool's assessment of tortuosity of arterioles, venules, and both.
RESULTS: Three pediatric ophthalmologists agreed on the designation of arteriole or venule for 83 of 100 blood vessels. With the use of expert consensus as the reference standard, areas under the ROC curves for identification of tortuosity sufficient for plus disease were 0.91, 0.70, and 0.93 for arterioles, venules, and both, respectively. Areas under the ROC curves for identification of tortuosity sufficient for pre-plus disease were 0.91, 0.63, and 0.90 for arterioles, venules, and both, respectively.
CONCLUSIONS: When considering whether tortuosity is sufficient for plus or pre-plus disease, the assessment of either arterioles alone or of arterioles and venules together resulted in high diagnostic accuracy.

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Year:  2009        PMID: 19393518     DOI: 10.1016/j.jaapos.2008.10.019

Source DB:  PubMed          Journal:  J AAPOS        ISSN: 1091-8531            Impact factor:   1.220


  9 in total

1.  Evolution of plus disease in retinopathy of prematurity: quantification by ROPtool.

Authors:  David K Wallace; Sharon F Freedman; Zheen Zhao
Journal:  Trans Am Ophthalmol Soc       Date:  2009-12

2.  Aggressive posterior retinopathy of prematurity: a pilot study of quantitative analysis of vascular features.

Authors:  Rany Woo; R V Paul Chan; Anand Vinekar; Michael F Chiang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-11-21       Impact factor: 3.117

3.  Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity.

Authors:  Faraz Oloumi; Rangaraj M Rangayyan; Anna L Ells
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-15

4.  Plus disease diagnosis in retinopathy of prematurity: vascular tortuosity as a function of distance from optic disk.

Authors:  Katie M Keck; Jayashree Kalpathy-Cramer; Esra Ataer-Cansizoglu; Sheng You; Deniz Erdogmus; Michael F Chiang
Journal:  Retina       Date:  2013-09       Impact factor: 4.256

Review 5.  Computer-based image analysis for plus disease diagnosis in retinopathy of prematurity.

Authors:  Leah A Wittenberg; Nina J Jonsson; R V Paul Chan; Michael F Chiang
Journal:  J Pediatr Ophthalmol Strabismus       Date:  2011-03-01       Impact factor: 1.402

6.  Plus Disease: Why is it Important in Retinopathy of Prematurity?

Authors:  Carlos E Solarte; Abdulaziz H Awad; Clare M Wilson; Anna Ells
Journal:  Middle East Afr J Ophthalmol       Date:  2010-04

7.  ROPtool analysis of plus and pre-plus disease in narrow-field images: a multi-image quadrant-level approach.

Authors:  Marguerite C Weinert; David K Wallace; Sharon F Freedman; J Wayne Riggins; Keith J Gallaher; S Grace Prakalapakorn
Journal:  J AAPOS       Date:  2020-03-27       Impact factor: 1.220

8.  Ocular Blood Flow in Preterm Neonates: A Preliminary Report.

Authors:  Ronald H Silverman; Raksha Urs; Danny H-Kauffmann Jokl; Leora Pinto; Osode Coki; Rakesh Sahni; Jason D Horowitz; Steven E Brooks
Journal:  Transl Vis Sci Technol       Date:  2021-02-05       Impact factor: 3.048

9.  Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis.

Authors:  Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; J Peter Campbell; Alican Bozkurt; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Samir Patel; Karyn Jonas; R V Paul Chan; Susan Ostmo; Michael F Chiang
Journal:  Transl Vis Sci Technol       Date:  2015-11-30       Impact factor: 3.283

  9 in total

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