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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
08 02 2021
Historique:
received: 26 05 2020
accepted: 25 01 2021
entrez: 9 2 2021
pubmed: 10 2 2021
medline: 16 11 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33558619
doi: 10.1038/s41598-021-82786-0
pii: 10.1038/s41598-021-82786-0
pmc: PMC7870671
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3271

Subventions

Organisme : Wellcome Trust
ID : 200141/Z/15/Z
Pays : United Kingdom

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Auteurs

Jan Henrik Terheyden (JH)

Department of Ophthalmology, University Hospital Bonn, 53127, Bonn, Germany. Jan.Terheyden@ukbonn.de.

Giovanni Ometto (G)

Division of Optometry and Visual Science, City, University of London, London, UK.

Giovanni Montesano (G)

Division of Optometry and Visual Science, City, University of London, London, UK.

Maximilian W M Wintergerst (MWM)

Department of Ophthalmology, University Hospital Bonn, 53127, Bonn, Germany.

Magdalena Langner (M)

Department of Ophthalmology, University Hospital Bonn, 53127, Bonn, Germany.

Xiaoxuan Liu (X)

Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.

Pearse A Keane (PA)

NIHR Biomedical Research Centre At Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.

David P Crabb (DP)

Division of Optometry and Visual Science, City, University of London, London, UK.

Alastair K Denniston (AK)

Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
NIHR Biomedical Research Centre At Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.

Robert P Finger (RP)

Department of Ophthalmology, University Hospital Bonn, 53127, Bonn, Germany. Robert.Finger@ukbonn.de.

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Classifications MeSH