Literature DB >> 33686233

Inter-rater reliability for diagnosis of geographic atrophy using spectral domain OCT in age-related macular degeneration.

Shruti Chandra1,2, Rajna Rasheed1, Piyali Sen1,2, Deepthy Menon1, Sobha Sivaprasad3,4.   

Abstract

PURPOSE: To evaluate the inter-rater reliability for identification of complete retinal pigment epithelium and outer retinal atrophy (cRORA) on SD-OCT images as defined by the Classification of Atrophy Meetings (CAM) group.
METHODS: Fifty images of anonymized SD-OCT line scans of eyes with cRORA due to AMD were selected. Each .tiff image was saved in both black-on-white (BW) and white-on-black (WB) format. Five retina-trained clinicians graded both sets of images twice for the diagnosis of cRORA based on the CAM group definition. Fleiss kappa statistic was calculated for inter-rater reliability and Cohen's kappa statistic for intra-grader and inter-grader reliability between any two graders.
RESULTS: The inter-grader reliability varied from as low as 0.28 to 0.92 for WB images and 0.34 to 0.86 for BW images. However, the inter-grader and intra-grader agreement was ĸ WB 0.92; ĸ BW 0.86 and ĸ 0.92 respectively, for graders accustomed to the CAM criteria. Fleiss kappa was ĸ 0.49 (p value < 0.0001) for WB images and ĸ 0.34 (p value < 0.0001 for BW images. Overall, the agreement was better using WB images for all parameters except RPE attenuation/loss.
CONCLUSION: There is significant variability in diagnosis of cRORA on SD-OCT by retina-trained ophthalmologists in the real world. The study highlights the need for training to recognise the different features of cRORA prior to its implementation in clinical practice.
© 2021. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.

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Year:  2021        PMID: 33686233      PMCID: PMC8807831          DOI: 10.1038/s41433-021-01490-5

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  2 in total

1.  Measuring atrophy in age-related macular degeneration: why does reliability matter?

Authors:  Mark R Phillips; Varun Chaudhary
Journal:  Eye (Lond)       Date:  2022-03-08       Impact factor: 4.456

Review 2.  Fluorescence Sensing Technologies for Ophthalmic Diagnosis.

Authors:  Yuqi Shi; Yubing Hu; Nan Jiang; Ali K Yetisen
Journal:  ACS Sens       Date:  2022-05-31       Impact factor: 9.618

  2 in total

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