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

Rany Woo, R. V Paul Chan, Anand Vinekar, Michael Chiang

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Conclusions: Inter-expert agreement with regard to AP-ROP diagnosis is imperfect. Venular curvature may be a distinguishing characteristic between AP-ROP and plus. Future studies involving quantitative features of AP-ROP will have benefits for clinical diagnosis and management.

Methods: Eight ROP experts interpreted 15 retinal images for AP-ROP and plus disease. Inter-expert agreement was calculated by absolute agreement for AP-ROP and plus, and kappa statistic for each expert was compared with others. Retinal vessels were analyzed by a computer-based system to calculate diameter and integrated curvature (IC). Consensus reference standards for images were developed, and quantitative parameters for arterioles and venules were compared among images with AP-ROP vs. not AP-ROP, plus vs. not plus, and AP-ROP vs. plus.

Purpose: To evaluate aggressive posterior retinopathy of prematurity (AP-ROP) with regard to inter-expert diagnostic agreement and quantitative vascular features.

Results: Mean kappa for each expert in AP-ROP diagnosis ranged from −0.15 (no agreement) to 0.42 (moderate agreement). Nine (30 %) of 30 total AP-ROP diagnoses were also classified as not plus disease. Analysis of images with AP-ROP vs. plus showed that images with AP-ROP had higher venular IC (p = 0.04). Arteriolar IC was statistically significant between images with AP-ROP vs. not AP-ROP (p = 0.01) and plus vs. not plus (p = 0.00003). There were no statistically significant differences in diameter between image groups.

Original languageEnglish (US)
Pages (from-to)181-187
Number of pages7
JournalGraefe's Archive for Clinical and Experimental Ophthalmology
Volume253
Issue number2
DOIs
StatePublished - 2014

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Retinopathy of Prematurity
Blood Vessels
Retinal Vessels
Venules
Computer Systems
Arterioles

Keywords

  • Image analysis
  • Medical informatics
  • Pediatric ophthalmology
  • Retina
  • Retinopathy of prematurity

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience
  • Medicine(all)

Cite this

Aggressive posterior retinopathy of prematurity : a pilot study of quantitative analysis of vascular features. / Woo, Rany; Chan, R. V Paul; Vinekar, Anand; Chiang, Michael.

In: Graefe's Archive for Clinical and Experimental Ophthalmology, Vol. 253, No. 2, 2014, p. 181-187.

Research output: Contribution to journalArticle

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AB - Conclusions: Inter-expert agreement with regard to AP-ROP diagnosis is imperfect. Venular curvature may be a distinguishing characteristic between AP-ROP and plus. Future studies involving quantitative features of AP-ROP will have benefits for clinical diagnosis and management.Methods: Eight ROP experts interpreted 15 retinal images for AP-ROP and plus disease. Inter-expert agreement was calculated by absolute agreement for AP-ROP and plus, and kappa statistic for each expert was compared with others. Retinal vessels were analyzed by a computer-based system to calculate diameter and integrated curvature (IC). Consensus reference standards for images were developed, and quantitative parameters for arterioles and venules were compared among images with AP-ROP vs. not AP-ROP, plus vs. not plus, and AP-ROP vs. plus.Purpose: To evaluate aggressive posterior retinopathy of prematurity (AP-ROP) with regard to inter-expert diagnostic agreement and quantitative vascular features.Results: Mean kappa for each expert in AP-ROP diagnosis ranged from −0.15 (no agreement) to 0.42 (moderate agreement). Nine (30 %) of 30 total AP-ROP diagnoses were also classified as not plus disease. Analysis of images with AP-ROP vs. plus showed that images with AP-ROP had higher venular IC (p = 0.04). Arteriolar IC was statistically significant between images with AP-ROP vs. not AP-ROP (p = 0.01) and plus vs. not plus (p = 0.00003). There were no statistically significant differences in diameter between image groups.

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