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Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects
| Content Provider | Semantic Scholar |
|---|---|
| Author | Boonarpha, Nattapon Knox, Paul C. Batterbury, Mark Rogers, Claire Zheng, Yalin |
| Copyright Year | 2018 |
| Abstract | Purpose: To compare the quality of retinal images obtained with the iExaminer system and D-Eye with those of a standard digital retinal camera. Methods: We conducted a prospective observational study on patients with confirmed or suspected glaucoma. Images from both undilated and dilated eyes of all patients were acquired by both smartphone devices (iExaminer system and D-Eye) while a single image was acquired using Kowa 3D fundus camera (dilated). All images were acquired by the same trained operator. All the acquired images were cropped and normalised to the same size followed by grading on the image quality and cup-disc ratio by two masked graders. Statistical analysis was performed with SPSS v22 (SPSS Inc., IBM, USA). Results: 103 patients (39 diagnosed glaucoma, 37.9%) were recruited, providing a dataset of 515 optic disc images. The proportions of images suitable for cup and disc measurements obtained from dilated eyes by D-Eye and iExaminer were statistically significantly lower when compared to that of the Kowa camera (P<0.05). For images graded as at least acceptable, inter-observer agreement for the cup-to-disc ratio extracted from them was good with intraclass correlations (ICCs) of 0.885 or better, with no marked differences between devices, and no great improvement with dilation. Intra-observer agreement was also good (ICC = 0.909 or better) across devices and conditions. Conclusion: Smartphone-based imaging approaches showed encouraging results in imaging the optic disc of patients with diagnosed or suspected glaucoma. Further development is needed to make them usable to aid management of eye disease. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://livrepository.liverpool.ac.uk/3047372/1/BKBRZ18.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |