Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements
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 re...
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2021
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oai:doaj.org-article:664cd5c275b14bed9e7828d0955a00802021-12-02T12:09:18ZAutomated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements10.1038/s41598-021-82786-02045-2322https://doaj.org/article/664cd5c275b14bed9e7828d0955a00802021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82786-0https://doaj.org/toc/2045-2322Abstract 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.Jan Henrik TerheydenGiovanni OmettoGiovanni MontesanoMaximilian W. M. WintergerstMagdalena LangnerXiaoxuan LiuPearse A. KeaneDavid P. CrabbAlastair K. DennistonRobert P. FingerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021) |
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Medicine R Science Q Jan Henrik Terheyden Giovanni Ometto Giovanni Montesano Maximilian W. M. Wintergerst Magdalena Langner Xiaoxuan Liu Pearse A. Keane David P. Crabb Alastair K. Denniston Robert P. Finger Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
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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. |
format |
article |
author |
Jan Henrik Terheyden Giovanni Ometto Giovanni Montesano Maximilian W. M. Wintergerst Magdalena Langner Xiaoxuan Liu Pearse A. Keane David P. Crabb Alastair K. Denniston Robert P. Finger |
author_facet |
Jan Henrik Terheyden Giovanni Ometto Giovanni Montesano Maximilian W. M. Wintergerst Magdalena Langner Xiaoxuan Liu Pearse A. Keane David P. Crabb Alastair K. Denniston Robert P. Finger |
author_sort |
Jan Henrik Terheyden |
title |
Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
title_short |
Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
title_full |
Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
title_fullStr |
Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
title_full_unstemmed |
Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
title_sort |
automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/664cd5c275b14bed9e7828d0955a0080 |
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