Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber

Ravi Chandna, Neetha IR Kuzhuppilly, Yogish S Kamath Department of Ophthalmology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, 576104, IndiaCorrespondence: Yogish S Kamath Email yogish.kamath@manipal.eduPurpose: This study aimed to explore the role of smartphone im...

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Autores principales:	Chandna R, Kuzhuppilly NIR, Kamath YS
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	flashlight test angle closure glaucoma shallow anterior chamber community screening smartphone tele-ophthalmology telemedicine Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/4806cf7ffe6d4a5b83328b24453bbe5b
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spelling	oai:doaj.org-article:4806cf7ffe6d4a5b83328b24453bbe5b2021-12-02T14:28:52ZSmartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber1177-5483https://doaj.org/article/4806cf7ffe6d4a5b83328b24453bbe5b2021-05-01T00:00:00Zhttps://www.dovepress.com/smartphone-acquired-image-photogrammetry-for-detection-of-shallow-ante-peer-reviewed-fulltext-article-OPTHhttps://doaj.org/toc/1177-5483Ravi Chandna, Neetha IR Kuzhuppilly, Yogish S Kamath Department of Ophthalmology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, 576104, IndiaCorrespondence: Yogish S Kamath Email yogish.kamath@manipal.eduPurpose: This study aimed to explore the role of smartphone imaging of the eye using two perspectives — anterior and temporal — in the detection of a shallow anterior chamber (AC). The AC depth (ACD) of an eye can be used as a surrogate marker for identification of eyes at risk of developing angle-closure disease.Methods: A prospective observational study was conducted at a university teaching hospital in South India. Each eye was photographed with a smartphone using the two perspectives, followed by quantitative measurement of ACD using optical biometry. The percentage of nasal iris illuminated was measured from the image acquired using the flashlight method (anterior perspective), whereas pupil position relative to the cornea was measured from the image acquired using the temporal perpendicular method (temporal perspective). The receiver-operating characteristic curve and area under the curve (AUC) were studied for both perspectives independently for overall predictive accuracy in detection of shallow AC (ACD < 2.7 mm, obtained by IOL Master).Results: A total of 275 eyes were examined, of which 77 (28%) had an ACD < 2.7 mm. The accuracy of detection of shallow AC was found to be 95.2% for both perspectives when used alone or in combination. AUC of the anterior perspective was 0.99 (95% CI 0.982– 0.997). The AUC for the temporal perspective was 0.993 (95% CI 0.988– 0.999).Conclusion: Smartphone-acquired image photogrammetry of an eye with anterior and temporal perspectives independently and in combination provided accuracy nearing 95% in the detection of shallow AC (ACD < 2.7 mm).Registration: This trial was registered with the Clinical Trial Registry of India (CTRI/2018/09/015867, September 28, 2018).Keywords: flashlight test, angle-closure glaucoma, shallow anterior chamber, community screening, smartphone teleophthalmology, telemedicineChandna RKuzhuppilly NIRKamath YSDove Medical Pressarticleflashlight testangle closure glaucomashallow anterior chambercommunity screeningsmartphone tele-ophthalmologytelemedicineOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 15, Pp 1875-1885 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	flashlight test angle closure glaucoma shallow anterior chamber community screening smartphone tele-ophthalmology telemedicine Ophthalmology RE1-994
spellingShingle	flashlight test angle closure glaucoma shallow anterior chamber community screening smartphone tele-ophthalmology telemedicine Ophthalmology RE1-994 Chandna R Kuzhuppilly NIR Kamath YS Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
description	Ravi Chandna, Neetha IR Kuzhuppilly, Yogish S Kamath Department of Ophthalmology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, 576104, IndiaCorrespondence: Yogish S Kamath Email yogish.kamath@manipal.eduPurpose: This study aimed to explore the role of smartphone imaging of the eye using two perspectives — anterior and temporal — in the detection of a shallow anterior chamber (AC). The AC depth (ACD) of an eye can be used as a surrogate marker for identification of eyes at risk of developing angle-closure disease.Methods: A prospective observational study was conducted at a university teaching hospital in South India. Each eye was photographed with a smartphone using the two perspectives, followed by quantitative measurement of ACD using optical biometry. The percentage of nasal iris illuminated was measured from the image acquired using the flashlight method (anterior perspective), whereas pupil position relative to the cornea was measured from the image acquired using the temporal perpendicular method (temporal perspective). The receiver-operating characteristic curve and area under the curve (AUC) were studied for both perspectives independently for overall predictive accuracy in detection of shallow AC (ACD < 2.7 mm, obtained by IOL Master).Results: A total of 275 eyes were examined, of which 77 (28%) had an ACD < 2.7 mm. The accuracy of detection of shallow AC was found to be 95.2% for both perspectives when used alone or in combination. AUC of the anterior perspective was 0.99 (95% CI 0.982– 0.997). The AUC for the temporal perspective was 0.993 (95% CI 0.988– 0.999).Conclusion: Smartphone-acquired image photogrammetry of an eye with anterior and temporal perspectives independently and in combination provided accuracy nearing 95% in the detection of shallow AC (ACD < 2.7 mm).Registration: This trial was registered with the Clinical Trial Registry of India (CTRI/2018/09/015867, September 28, 2018).Keywords: flashlight test, angle-closure glaucoma, shallow anterior chamber, community screening, smartphone teleophthalmology, telemedicine
format	article
author	Chandna R Kuzhuppilly NIR Kamath YS
author_facet	Chandna R Kuzhuppilly NIR Kamath YS
author_sort	Chandna R
title	Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
title_short	Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
title_full	Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
title_fullStr	Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
title_full_unstemmed	Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber
title_sort	smartphone-acquired image photogrammetry for detection of shallow anterior chamber
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/4806cf7ffe6d4a5b83328b24453bbe5b
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Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber

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