City Research Online

Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements.

Terheyden, J. H., Ometto, G., Montesano, G., Wintergerst, M. W. M., Langner, M., Liu, X., Keane, P. A., Crabb, D. P. ORCID: 0000-0001-8754-3902, Denniston, A. K. and Finger, R. P. (2021). Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements.. Scientific Reports, 11(3271), doi: 10.1038/s41598-021-82786-0

Abstract

Quantifying intraocular inflammation is crucial in managing uveitis patients. We assessed the minimum B-scan density for reliable automated vitreous intensity (VI) assessment, using a novel approach based on optical coherence tomography (OCT). OCT volume scans centered on the macula were retrospectively collected in patients with uveitis. Nine B-scans per volume scan at fixed locations were automatically analyzed. The following B-scan selections were compared against the average score of 9 B-scans per volume scan as a reference standard: 1/3/5/7 central scans (1c/3c/5c/7c), 3 widely distributed scans (3w). Image data of 49 patients (31 females) were included. The median VI was 0.029 (IQR: 0.032). The intra-class-correlation coefficient of the VI across the 9 B-scans was 0.923. The median difference from the reference standard ranged between 0.001 (7c) and 0.006 (1c). It was significantly lower for scan selection 3w than 5c, p(adjusted) = 0.022, and lower for selection 7c than 3w, p(adjusted) = 0.003. The scan selections 7c and 3w showed the two highest areas under the receiver operating curve (0.985 and 0.965, respectively). Three widely distributed B-scans are sufficient to quantify VI reliably. Highest reliability was achieved using 7 central B-scans. Automated quantification of VI in uveitis is reliable and requires only few OCT B-scans.

Publication Type: Article
Subjects: R Medicine > RE Ophthalmology
Departments: School of Health Sciences > Optometry & Visual Science
Date Deposited: 15 Feb 2021 11:54
URI: https://openaccess.city.ac.uk/id/eprint/25660
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