Validation of Concentric Rings Method as a Topographic Measure of Retinal Nonperfusion in Ultra-Widefield Fluorescein Angiography

Autor: Namritha Patrao, Philip Hykin, Clara Vazquez-Alfageme, Mahdi Muwas, Farrah Islam, Ioanna Triantafyllopoulou, Luke Nicholson, Sobha Sivaprasad, Jayashree Ramu
Rok vydání: 2015
Předmět:
Zdroj: American Journal of Ophthalmology. 160:1217-1225.e2
ISSN: 0002-9394
DOI: 10.1016/j.ajo.2015.09.003
Popis: Purpose To validate the use of concentric rings as a method to measure topographic area of retinal nonperfusion in ultra-widefield angiography with the ischemic index method, which is the most frequently used method to measure nonperfusion in ultra-widefield angiography. Design Validation study and reliability analysis. Methods setting: Single-center study performed at National Institute for Health Research Moorfields Biomedical Research Centre, London, United Kingdom. study population: Twenty-eight ultra-widefield angiogram images of eyes with central retinal vein occlusion. observation procedure: The concentric rings method consists of 6 macula-centered concentric rings divided into 12 segments each. Each image was graded by 5 graders using both the concentric rings and the ischemic index methods. main outcome measures: Agreement between the 2 methods was calculated using the intraclass correlation coefficient. Intertest agreement, intergrader agreement, test-retest reliability, and the time taken to grade using these 2 methods were compared. Results The intertest agreement between concentric rings method and ischemic index method was 0.965. The intergrader agreement was 0.910 for the concentric rings method and 0.898 with the ischemic index method. The test-retest reliability was 0.975 for the rings and 0.979 for the ischemic index. Average grading time per image was 187 s and 297 s for the concentric rings method and ischemic index method, respectively, P Conclusion The concentric rings method has an "almost-perfect" intergrader agreement and intertest agreement with the ischemic index method, with a shorter grading time.
Databáze: OpenAIRE