Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2014
Aggressive posterior retinopathy of prematurity: a pilot study of quantitative analysis of vascular features.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Woo Rany, Chan R V Paul, Vinekar Anand, Chiang Michael F
Аннотация
PURPOSE: To evaluate aggressive posterior retinopathy of prematurity (AP-ROP) with regard to inter-expert diagnostic agreement and quantitative vascular features.
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.
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.
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.
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.
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.