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IMAGE ANALYSIS OF OPTICAL COHERENCE TOMOGRAPHY SCANS TO EXPLORE ESTABLISHED AND NOVEL CHOROIDAL FEATURES IN PATIENTS WITH CENTRAL SEROUS CHORIORETINOPATHY.
Aslam, Tariq M; Chhabra, Ramandeep; Agrawal, Rupesh; Beg, Amaad; Kasbia, Shakti; Boonarpha, Nattapon; Ali, Zaria; Hoyle, David C.
Afiliação
  • Aslam TM; School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
  • Chhabra R; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Agrawal R; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Beg A; School of Biological Sciences, Faculty of Evolution and Genomic Sciences, The University of Manchester, Manchester, United Kingdom; and.
  • Kasbia S; National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore.
  • Boonarpha N; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Ali Z; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Hoyle DC; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
Retina ; 42(1): 88-94, 2022 01 01.
Article em En | MEDLINE | ID: mdl-34267118
PURPOSE: To explore the characteristics of choroidal tissue in patients with and without central serous chorioretinopathy (CSC) using an automated system of image analysis to determine known and novel metrics. METHODS: This was a retrospective case-control analysis of optical coherence tomography scans of patients seen at Manchester Royal Eye Hospital, UK, comparing patients with active CSC to an age-matched and gender-matched group with no CSC using a purpose-built automated system of image analysis. The expert system segments and measures established and novel features of choroid using a combination of thresholding, noise removal, and morphological techniques. RESULTS: A total of 72 patients were included in this study, with 40 included in the group with CSC and 32 patient controls with no CSC. There were significant increases from normal to CSC of median choroidal vascularity index, 54.7(median absolute deviation = 9.8) to 61.2(4.3), and all choroidal thickness indices including maximum depth, from 249.0(90.1) µm to 372.3(80.3) µm. For novel measures, there was a significant increase in tissue entropy from 6.68(0.28) to 6.95(0.17) and area of the largest five vessels from 6.28(3.04) mm2 to 9.10(3.49) mm2. The ratio of vessel lumen to stromal tissue intensity was conversely significantly reduced from 0.674(0.11) in normal patients to 0.59(0.06) in CSC. CONCLUSION: The automated system of choroidal analysis expands on the utility of known measures and introduces novel metrics. These findings contribute pathophysiological insights and metrics for further assessment and research on conditions affecting choroidal tissue.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Angiofluoresceinografia / Acuidade Visual / Corioide / Tomografia de Coerência Óptica / Coriorretinopatia Serosa Central Tipo de estudo: Observational_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Angiofluoresceinografia / Acuidade Visual / Corioide / Tomografia de Coerência Óptica / Coriorretinopatia Serosa Central Tipo de estudo: Observational_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article