학술논문
Quality assessment of anterior segment OCT images: Development and validation of quality criteria.
Document Type
Academic Journal
Author
Patel RP; Imperial College London, United Kingdom; Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.; Petrushkin H; Moorfields Eye Hospital, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom.; Etherton K; Moorfields Eye Hospital, London, United Kingdom.; Terence K; Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.; Dick AD; UCL Institute of Ophthalmology, London, United Kingdom; Bristol University, Bristol, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom.; Rahi JS; Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Moorfields Eye Hospital, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom; NIHR Great Ormond Street Hospital Biomedical Research, London, United Kingdom; UCL Institute of Ophthalmology, London, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Ulverscroft Vision Research Group, London, United Kingdom.; Solebo AL; Population, Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Great Ormond Street Hospital, London, United Kingdom; NIHR Great Ormond Street Hospital Biomedical Research, London, United Kingdom; NIHR Moorfields Biomedical Research Centre, London, United Kingdom. Electronic address: a.solebo@ucl.ac.uk.
Source
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101226123 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1597 (Electronic) Linking ISSN: 15721000 NLM ISO Abbreviation: Photodiagnosis Photodyn Ther Subsets: MEDLINE
Subject
Language
English
Abstract
Background: The utility of medical imaging is dependant on image quality. We aimed to develop and validate quality criteria for ocular anterior segment optical coherence tomography (AS-OCT) images.
Methods: We undertook a cross-sectional study using AS-OCT images from patients aged 6-16. A novel three-level grading system (good, limited or poor) was developed based on the presence of image artefact (categorised as lid, eyelash, cropping, glare, or movement artefact). Three independent experts graded 2825 images, with agreement assessed using confusion matrices and intraclass correlation coefficients (ICC) for each parameter.
Results: There was very good inter-grader IQA agreement assessing image quality with ICC 0.85 (95 %CI: 0.84-0.87). The most commonly occurring artefact was eyelash artefact (1008/2825 images, 36 %). Graders labelled 621/2825 (22 %) images as good and 384 (14 %) as poor. There was complete agreement at either end of the confusion matrix with no 'good' images labelled as 'poor' by other graders, and vice versa. Similarly, there was very good agreement when assessing presence of lash (0.96,0.94-0.98), movement (0.97,0.96-0.99), glare (0.82,0.80-0.84) and cropping (0.90,0.88-0.92).
Conclusions: The novel image quality assessment criteria (IQAC) described here have good interobserver agreement overall, and excellent agreement on the differentiation between 'good' and 'poor' quality images. The large proportion of images graded as 'limited' suggests the need for refine this classification, using the specific IQAC features, for which we also report high interobserver agreement. These findings support the future potential for wider clinical and community care implementation of AS-OCT for the diagnosis and monitoring of ocular disease.
Competing Interests: Declaration of Competing Interest No conflicting relationship exists for any author.
(Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
Methods: We undertook a cross-sectional study using AS-OCT images from patients aged 6-16. A novel three-level grading system (good, limited or poor) was developed based on the presence of image artefact (categorised as lid, eyelash, cropping, glare, or movement artefact). Three independent experts graded 2825 images, with agreement assessed using confusion matrices and intraclass correlation coefficients (ICC) for each parameter.
Results: There was very good inter-grader IQA agreement assessing image quality with ICC 0.85 (95 %CI: 0.84-0.87). The most commonly occurring artefact was eyelash artefact (1008/2825 images, 36 %). Graders labelled 621/2825 (22 %) images as good and 384 (14 %) as poor. There was complete agreement at either end of the confusion matrix with no 'good' images labelled as 'poor' by other graders, and vice versa. Similarly, there was very good agreement when assessing presence of lash (0.96,0.94-0.98), movement (0.97,0.96-0.99), glare (0.82,0.80-0.84) and cropping (0.90,0.88-0.92).
Conclusions: The novel image quality assessment criteria (IQAC) described here have good interobserver agreement overall, and excellent agreement on the differentiation between 'good' and 'poor' quality images. The large proportion of images graded as 'limited' suggests the need for refine this classification, using the specific IQAC features, for which we also report high interobserver agreement. These findings support the future potential for wider clinical and community care implementation of AS-OCT for the diagnosis and monitoring of ocular disease.
Competing Interests: Declaration of Competing Interest No conflicting relationship exists for any author.
(Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)