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Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score

OBJECTIVE: To assess the feasibility of measurement of retinal arteriovenous (AV) ratio using a smartphone, we performed a comparative evaluation with fundus camera imaging and coronary SYNTAX score. METHOD: Successive coronary artery disease (CAD) patients who underwent coronary angiography were re...

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Autores principales: Ambaliya, Harshad C., Gupta, Rajeev, Chahar, Chitresh, Tyagi, Lokendra, Chaturvedi, Hemant, Khedar, Raghubir S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773282/
https://www.ncbi.nlm.nih.gov/pubmed/36410414
http://dx.doi.org/10.1016/j.ihj.2022.11.005
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author Ambaliya, Harshad C.
Gupta, Rajeev
Chahar, Chitresh
Tyagi, Lokendra
Chaturvedi, Hemant
Khedar, Raghubir S.
author_facet Ambaliya, Harshad C.
Gupta, Rajeev
Chahar, Chitresh
Tyagi, Lokendra
Chaturvedi, Hemant
Khedar, Raghubir S.
author_sort Ambaliya, Harshad C.
collection PubMed
description OBJECTIVE: To assess the feasibility of measurement of retinal arteriovenous (AV) ratio using a smartphone, we performed a comparative evaluation with fundus camera imaging and coronary SYNTAX score. METHOD: Successive coronary artery disease (CAD) patients who underwent coronary angiography were recruited for smartphone retinal imaging. Following pupillary dilatation, fundus camera images and smartphone photography were performed. Video images were captured with a smartphone, edited and analysed. Retinal artery and vein size at 0.5 and 1 disc diameter (DD) were measured using DICOM software by two independent observers. Another observer calculated SYNTAX score. RESULTS: Analysable smartphone images were available in 91 (89.2%) of 102 patients. Tobacco use was found in 26%, hypertension in 54%, diabetes in 55%, and high LDL cholesterol in 50%. Median and 25–75 interquartile range (IQR) AV ratio at 0.5 and 1.0 DD, respectively, with smartphone were 0.48 (0.45–0.52) and 0.47 (0.45–0.52) and fundus camera were 0.48 (0.44–0.53) and 0.48 (0.45–0.53) (Spearman's correlation 0.80 and 0.79, p < 0.001). Coronary single vessel disease was in 21%, double vessel in 16%, triple vessel in 55%, normal angiogram in 8%, and median SYNTAX score was 18.0 (8.0–25.0). There was an inverse correlation of SYNTAX score with smartphone-derived AV ratio at 0.5 and 1.0 DD (rho −0.27,p = 0.007 and −0.26,p = 0.009) as well as with fundus camera (rho −0.37 and −0.38, p < 0.001). Trend-analysis showed an inverse association of smartphone AV ratio with increasing CAD (p(trend) <0.001). CONCLUSIONS: Smartphone-based retinal AV imaging is feasible and comparable to fundus-camera imaging. There is a significant inverse correlation with coronary angiographic severity.
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spelling pubmed-97732822022-12-23 Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score Ambaliya, Harshad C. Gupta, Rajeev Chahar, Chitresh Tyagi, Lokendra Chaturvedi, Hemant Khedar, Raghubir S. Indian Heart J Original Article OBJECTIVE: To assess the feasibility of measurement of retinal arteriovenous (AV) ratio using a smartphone, we performed a comparative evaluation with fundus camera imaging and coronary SYNTAX score. METHOD: Successive coronary artery disease (CAD) patients who underwent coronary angiography were recruited for smartphone retinal imaging. Following pupillary dilatation, fundus camera images and smartphone photography were performed. Video images were captured with a smartphone, edited and analysed. Retinal artery and vein size at 0.5 and 1 disc diameter (DD) were measured using DICOM software by two independent observers. Another observer calculated SYNTAX score. RESULTS: Analysable smartphone images were available in 91 (89.2%) of 102 patients. Tobacco use was found in 26%, hypertension in 54%, diabetes in 55%, and high LDL cholesterol in 50%. Median and 25–75 interquartile range (IQR) AV ratio at 0.5 and 1.0 DD, respectively, with smartphone were 0.48 (0.45–0.52) and 0.47 (0.45–0.52) and fundus camera were 0.48 (0.44–0.53) and 0.48 (0.45–0.53) (Spearman's correlation 0.80 and 0.79, p < 0.001). Coronary single vessel disease was in 21%, double vessel in 16%, triple vessel in 55%, normal angiogram in 8%, and median SYNTAX score was 18.0 (8.0–25.0). There was an inverse correlation of SYNTAX score with smartphone-derived AV ratio at 0.5 and 1.0 DD (rho −0.27,p = 0.007 and −0.26,p = 0.009) as well as with fundus camera (rho −0.37 and −0.38, p < 0.001). Trend-analysis showed an inverse association of smartphone AV ratio with increasing CAD (p(trend) <0.001). CONCLUSIONS: Smartphone-based retinal AV imaging is feasible and comparable to fundus-camera imaging. There is a significant inverse correlation with coronary angiographic severity. Elsevier 2022 2022-11-19 /pmc/articles/PMC9773282/ /pubmed/36410414 http://dx.doi.org/10.1016/j.ihj.2022.11.005 Text en © 2022 Cardiological Society of India. Published by Elsevier, a division of RELX India, Pvt. Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Ambaliya, Harshad C.
Gupta, Rajeev
Chahar, Chitresh
Tyagi, Lokendra
Chaturvedi, Hemant
Khedar, Raghubir S.
Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title_full Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title_fullStr Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title_full_unstemmed Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title_short Smartphone-enabled retinal arteriovenous imaging and correlation with coronary SYNTAX score
title_sort smartphone-enabled retinal arteriovenous imaging and correlation with coronary syntax score
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773282/
https://www.ncbi.nlm.nih.gov/pubmed/36410414
http://dx.doi.org/10.1016/j.ihj.2022.11.005
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