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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-82786-0
id doaj-664cd5c275b14bed9e7828d0955a0080
record_format Article
spelling doaj-664cd5c275b14bed9e7828d0955a00802021-02-14T12:30:59ZengNature Publishing GroupScientific Reports2045-23222021-02-011111610.1038/s41598-021-82786-0Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirementsJan Henrik Terheyden0Giovanni Ometto1Giovanni Montesano2Maximilian W. M. Wintergerst3Magdalena Langner4Xiaoxuan Liu5Pearse A. Keane6David P. Crabb7Alastair K. Denniston8Robert P. Finger9Department of Ophthalmology, University Hospital BonnDivision of Optometry and Visual Science, City, University of LondonDivision of Optometry and Visual Science, City, University of LondonDepartment of Ophthalmology, University Hospital BonnDepartment of Ophthalmology, University Hospital BonnAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of BirminghamNIHR Biomedical Research Centre At Moorfields Eye Hospital and UCL Institute of OphthalmologyDivision of Optometry and Visual Science, City, University of LondonAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of BirminghamDepartment of Ophthalmology, University Hospital BonnAbstract 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.https://doi.org/10.1038/s41598-021-82786-0
collection DOAJ
language English
format Article
sources DOAJ
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
spellingShingle 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
Scientific Reports
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 Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-02-01
description 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.
url https://doi.org/10.1038/s41598-021-82786-0
work_keys_str_mv AT janhenrikterheyden automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT giovanniometto automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT giovannimontesano automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT maximilianwmwintergerst automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT magdalenalangner automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT xiaoxuanliu automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT pearseakeane automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT davidpcrabb automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT alastairkdenniston automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
AT robertpfinger automatedquantificationofposteriorvitreousinflammationopticalcoherencetomographyscannumberrequirements
_version_ 1724270398858592256