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Screening Evaporative Dry Eyes Severity Using an Infrared Image

BACKGROUND: Dry eye disease (DED) is a multifactorial and one of the most common problems treated in an ophthalmic outpatient clinic. Due to the variability in presentation, diagnosis of DED consists of a combination of subjective and objective clinical tests. The purpose of this study was to assess...

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Autores principales: Zhang, Qing, Wu, Yi, Song, Yilin, Qin, Guanghao, Yang, Lanting, Talwar, Sumeet Singh, Lin, Tiezhu, Talwar, Gagan Deep Singh, Zhang, Hongda, Xu, Ling, Moore, Jonathan E, Pazo, Emmanuel Eric, He, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410437/
https://www.ncbi.nlm.nih.gov/pubmed/34484814
http://dx.doi.org/10.1155/2021/8396503
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author Zhang, Qing
Wu, Yi
Song, Yilin
Qin, Guanghao
Yang, Lanting
Talwar, Sumeet Singh
Lin, Tiezhu
Talwar, Gagan Deep Singh
Zhang, Hongda
Xu, Ling
Moore, Jonathan E
Pazo, Emmanuel Eric
He, Wei
author_facet Zhang, Qing
Wu, Yi
Song, Yilin
Qin, Guanghao
Yang, Lanting
Talwar, Sumeet Singh
Lin, Tiezhu
Talwar, Gagan Deep Singh
Zhang, Hongda
Xu, Ling
Moore, Jonathan E
Pazo, Emmanuel Eric
He, Wei
author_sort Zhang, Qing
collection PubMed
description BACKGROUND: Dry eye disease (DED) is a multifactorial and one of the most common problems treated in an ophthalmic outpatient clinic. Due to the variability in presentation, diagnosis of DED consists of a combination of subjective and objective clinical tests. The purpose of this study was to assess the effectiveness of a handheld smartphone-based infrared thermal (IRT) camera for screening symptomatic evaporative DED. METHODS: This observational sex-matched control study assessed IRT images of 184 right eyes (46 normal and 138 DED) of 184 participants. Evaporative DED was assessed using noninvasive tear breakup time, fluorescein staining, and the Chinese version of the ocular surface disease index (C-OSDI) questionnaire and categorized into their respective dry eye symptomology group (none, mild, moderate, or severe). The ocular surface temperature (OST) at 8 anatomical regions of interest (ROI) (nasal conjunctiva, nasal limbus, nasal cornea, central cornea, inferior cornea, temporal limbus, temporal cornea, and temporal conjunctiva) were measured and compared using a handheld smartphone-based IRT camera. The effectiveness of these 8 ROIs OST in detecting varying severity of DED was evaluated in terms of correlations with severity of DED and their area under the curve (AUC). RESULTS: OST at the 8 anatomical ROI was significantly higher in DED participants than in the non-DED group (p < 0.05) except for inferior cornea, temporal limbus, and temporal conjunctival regions (>0.05). Analyzing 8 anatomical ROIs revealed that the nasal limbus had the highest Pearson correlation with the severity of DED (0.64, p < 0.001). Additionally, the nasal limbus ROI achieved the highest AUC of 0.79 (CI: 0.73–0.85; p < 0.05), sensitivity, and specificity (0.96 and 0.91) when comparing its ability to discriminated DED vs. non-DED eyes. CONCLUSIONS: Rather than a diagnostic tool, handheld smartphone-based IRT images can be considered as a rapid, noninvasive, and hygienic screening tool in discriminating DED and non-DED and potentially alleviating inconvenience experienced during conventional tests.
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spelling pubmed-84104372021-09-02 Screening Evaporative Dry Eyes Severity Using an Infrared Image Zhang, Qing Wu, Yi Song, Yilin Qin, Guanghao Yang, Lanting Talwar, Sumeet Singh Lin, Tiezhu Talwar, Gagan Deep Singh Zhang, Hongda Xu, Ling Moore, Jonathan E Pazo, Emmanuel Eric He, Wei J Ophthalmol Research Article BACKGROUND: Dry eye disease (DED) is a multifactorial and one of the most common problems treated in an ophthalmic outpatient clinic. Due to the variability in presentation, diagnosis of DED consists of a combination of subjective and objective clinical tests. The purpose of this study was to assess the effectiveness of a handheld smartphone-based infrared thermal (IRT) camera for screening symptomatic evaporative DED. METHODS: This observational sex-matched control study assessed IRT images of 184 right eyes (46 normal and 138 DED) of 184 participants. Evaporative DED was assessed using noninvasive tear breakup time, fluorescein staining, and the Chinese version of the ocular surface disease index (C-OSDI) questionnaire and categorized into their respective dry eye symptomology group (none, mild, moderate, or severe). The ocular surface temperature (OST) at 8 anatomical regions of interest (ROI) (nasal conjunctiva, nasal limbus, nasal cornea, central cornea, inferior cornea, temporal limbus, temporal cornea, and temporal conjunctiva) were measured and compared using a handheld smartphone-based IRT camera. The effectiveness of these 8 ROIs OST in detecting varying severity of DED was evaluated in terms of correlations with severity of DED and their area under the curve (AUC). RESULTS: OST at the 8 anatomical ROI was significantly higher in DED participants than in the non-DED group (p < 0.05) except for inferior cornea, temporal limbus, and temporal conjunctival regions (>0.05). Analyzing 8 anatomical ROIs revealed that the nasal limbus had the highest Pearson correlation with the severity of DED (0.64, p < 0.001). Additionally, the nasal limbus ROI achieved the highest AUC of 0.79 (CI: 0.73–0.85; p < 0.05), sensitivity, and specificity (0.96 and 0.91) when comparing its ability to discriminated DED vs. non-DED eyes. CONCLUSIONS: Rather than a diagnostic tool, handheld smartphone-based IRT images can be considered as a rapid, noninvasive, and hygienic screening tool in discriminating DED and non-DED and potentially alleviating inconvenience experienced during conventional tests. Hindawi 2021-08-24 /pmc/articles/PMC8410437/ /pubmed/34484814 http://dx.doi.org/10.1155/2021/8396503 Text en Copyright © 2021 Qing Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Qing
Wu, Yi
Song, Yilin
Qin, Guanghao
Yang, Lanting
Talwar, Sumeet Singh
Lin, Tiezhu
Talwar, Gagan Deep Singh
Zhang, Hongda
Xu, Ling
Moore, Jonathan E
Pazo, Emmanuel Eric
He, Wei
Screening Evaporative Dry Eyes Severity Using an Infrared Image
title Screening Evaporative Dry Eyes Severity Using an Infrared Image
title_full Screening Evaporative Dry Eyes Severity Using an Infrared Image
title_fullStr Screening Evaporative Dry Eyes Severity Using an Infrared Image
title_full_unstemmed Screening Evaporative Dry Eyes Severity Using an Infrared Image
title_short Screening Evaporative Dry Eyes Severity Using an Infrared Image
title_sort screening evaporative dry eyes severity using an infrared image
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410437/
https://www.ncbi.nlm.nih.gov/pubmed/34484814
http://dx.doi.org/10.1155/2021/8396503
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