Cargando…

Automated measurement of iris surface smoothness using anterior segment optical coherence tomography

Fuchs uveitis (FU) is a chronic and often unilateral ocular inflammation and characteristic iris atrophic changes, other than heterochromia, are common in FU and are key to the correct diagnosis in many cases. With the advent of anterior segment optical coherence tomography (AS-OCT), some investigat...

Descripción completa

Detalles Bibliográficos
Autores principales: Zarei, Mohammad, Mahmoudi, Tahereh, Riazi-Esfahani, Hamid, Mousavi, Behnam, Ebrahimiadib, Nazanin, Yaseri, Mehdi, Khalili Pour, Elias, Arabalibeik, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055699/
https://www.ncbi.nlm.nih.gov/pubmed/33875715
http://dx.doi.org/10.1038/s41598-021-87954-w
_version_ 1783680505725583360
author Zarei, Mohammad
Mahmoudi, Tahereh
Riazi-Esfahani, Hamid
Mousavi, Behnam
Ebrahimiadib, Nazanin
Yaseri, Mehdi
Khalili Pour, Elias
Arabalibeik, Hossein
author_facet Zarei, Mohammad
Mahmoudi, Tahereh
Riazi-Esfahani, Hamid
Mousavi, Behnam
Ebrahimiadib, Nazanin
Yaseri, Mehdi
Khalili Pour, Elias
Arabalibeik, Hossein
author_sort Zarei, Mohammad
collection PubMed
description Fuchs uveitis (FU) is a chronic and often unilateral ocular inflammation and characteristic iris atrophic changes, other than heterochromia, are common in FU and are key to the correct diagnosis in many cases. With the advent of anterior segment optical coherence tomography (AS-OCT), some investigators attempted to quantitatively study these atrophic changes; mostly by introducing various methods to measure iris thickness in AS-OCT images. We aimed to present an automated method in an observational case series to measure the smoothness index (SI) of the iris surface in AS-OCT images. The ratio of the length of the straight line connecting the most peripheral and central points of the anterior iris border (in nasal and temporal sides) to the actual length of this border on AS-OCT images, was defined as SI. In a uveitis referral center, twenty-two eyes of 11 patients with unilateral Fuchs uveitis (FU) (7 female) and 22 eyes of 11 healthy control subjects underwent AS-OCT imaging. Image J and a newly developed MATLAB algorithm were used for manual and automated SI measurements, respectively. Agreement between manual and automated measurements was evaluated with Bland–Altman analysis and interclass correlation coefficient. The inter-eye difference of SI was compared between the FU group and the control group. Automated mean overall SI was 0.868 ± 0.037 and 0.840 ± 0.039 in FU and healthy fellow eyes, respectively (estimated mean difference =  − 0.028, 95% CI [− 0.038, − 0.018], p < 0.001). Bland- Altman plots showed good agreement between two methods in both healthy and FU eyes. The interclass correlation coefficient between the manual and automated measurements in the FU and healthy fellow eyes was 0.958 and 0.964, respectively. The inter-eye difference of overall SI was 0.029 ± 0.015 and 0.012 ± 0.008 in FU group and control group, respectively (p = 0.01). We concluded that the automated algorithm can rapidly and conveniently measure SI with results comparable to the manual method.
format Online
Article
Text
id pubmed-8055699
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80556992021-04-22 Automated measurement of iris surface smoothness using anterior segment optical coherence tomography Zarei, Mohammad Mahmoudi, Tahereh Riazi-Esfahani, Hamid Mousavi, Behnam Ebrahimiadib, Nazanin Yaseri, Mehdi Khalili Pour, Elias Arabalibeik, Hossein Sci Rep Article Fuchs uveitis (FU) is a chronic and often unilateral ocular inflammation and characteristic iris atrophic changes, other than heterochromia, are common in FU and are key to the correct diagnosis in many cases. With the advent of anterior segment optical coherence tomography (AS-OCT), some investigators attempted to quantitatively study these atrophic changes; mostly by introducing various methods to measure iris thickness in AS-OCT images. We aimed to present an automated method in an observational case series to measure the smoothness index (SI) of the iris surface in AS-OCT images. The ratio of the length of the straight line connecting the most peripheral and central points of the anterior iris border (in nasal and temporal sides) to the actual length of this border on AS-OCT images, was defined as SI. In a uveitis referral center, twenty-two eyes of 11 patients with unilateral Fuchs uveitis (FU) (7 female) and 22 eyes of 11 healthy control subjects underwent AS-OCT imaging. Image J and a newly developed MATLAB algorithm were used for manual and automated SI measurements, respectively. Agreement between manual and automated measurements was evaluated with Bland–Altman analysis and interclass correlation coefficient. The inter-eye difference of SI was compared between the FU group and the control group. Automated mean overall SI was 0.868 ± 0.037 and 0.840 ± 0.039 in FU and healthy fellow eyes, respectively (estimated mean difference =  − 0.028, 95% CI [− 0.038, − 0.018], p < 0.001). Bland- Altman plots showed good agreement between two methods in both healthy and FU eyes. The interclass correlation coefficient between the manual and automated measurements in the FU and healthy fellow eyes was 0.958 and 0.964, respectively. The inter-eye difference of overall SI was 0.029 ± 0.015 and 0.012 ± 0.008 in FU group and control group, respectively (p = 0.01). We concluded that the automated algorithm can rapidly and conveniently measure SI with results comparable to the manual method. Nature Publishing Group UK 2021-04-19 /pmc/articles/PMC8055699/ /pubmed/33875715 http://dx.doi.org/10.1038/s41598-021-87954-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zarei, Mohammad
Mahmoudi, Tahereh
Riazi-Esfahani, Hamid
Mousavi, Behnam
Ebrahimiadib, Nazanin
Yaseri, Mehdi
Khalili Pour, Elias
Arabalibeik, Hossein
Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title_full Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title_fullStr Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title_full_unstemmed Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title_short Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
title_sort automated measurement of iris surface smoothness using anterior segment optical coherence tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055699/
https://www.ncbi.nlm.nih.gov/pubmed/33875715
http://dx.doi.org/10.1038/s41598-021-87954-w
work_keys_str_mv AT zareimohammad automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT mahmouditahereh automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT riaziesfahanihamid automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT mousavibehnam automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT ebrahimiadibnazanin automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT yaserimehdi automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT khalilipourelias automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography
AT arabalibeikhossein automatedmeasurementofirissurfacesmoothnessusinganteriorsegmentopticalcoherencetomography