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Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid
No studies have yet evaluated jointly central foveal thickness (CFT) and the presence of intraretinal fluid (PIF) to diagnose diabetic macular oedema (DMO) using optic coherence tomography (OCT). We performed a cross-sectional observational study to validate OCT for the diagnosis of DMO using both C...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647548/ https://www.ncbi.nlm.nih.gov/pubmed/26587352 http://dx.doi.org/10.7717/peerj.1394 |
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author | Hernández-Martínez, Carmen Palazón-Bru, Antonio Azrak, Cesar Navarro-Navarro, Aída Baeza-Díaz, Manuel Vicente Martínez-Toldos, José Juan Gil-Guillén, Vicente Francisco |
author_facet | Hernández-Martínez, Carmen Palazón-Bru, Antonio Azrak, Cesar Navarro-Navarro, Aída Baeza-Díaz, Manuel Vicente Martínez-Toldos, José Juan Gil-Guillén, Vicente Francisco |
author_sort | Hernández-Martínez, Carmen |
collection | PubMed |
description | No studies have yet evaluated jointly central foveal thickness (CFT) and the presence of intraretinal fluid (PIF) to diagnose diabetic macular oedema (DMO) using optic coherence tomography (OCT). We performed a cross-sectional observational study to validate OCT for the diagnosis of DMO using both CFT and PIF assessed by OCT (3D OCT-1 Maestro). A sample of 277 eyes from primary care diabetic patients was assessed in a Spanish region in 2014. Outcome: DMO diagnosed by stereoscopic mydriatic fundoscopy. OCT was used to measure CFT and PIF. A binary logistic regression model was constructed to predict the outcome using CFT and PIF. The area under the ROC curve (AUC) of the model was calculated and non-linear equations used to determine which CFT values had a high probability of the outcome (positive test), distinguishing between the presence or absence of PIF. Calculations were made of the sensitivity, specificity, and the positive (PLR) and negative (NLR) likelihood ratios. The model was validated using bootstrapping methodology. A total of 37 eyes had DMO. AUC: 0.88. Positive test: CFT ≥90 µm plus PIF (≥310 µm if no PIF). Clinical parameters: sensitivity, 0.83; specificity, 0.89; PLR, 7.34; NLR, 0.19. The parameters in the validation were similar. In conclusion, combining PIF and CFT provided a tool to very precisely discriminate the presence of DMO. Similar studies are needed to provide greater scientific evidence for the use of PIF in the diagnosis of DMO. |
format | Online Article Text |
id | pubmed-4647548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-46475482015-11-19 Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid Hernández-Martínez, Carmen Palazón-Bru, Antonio Azrak, Cesar Navarro-Navarro, Aída Baeza-Díaz, Manuel Vicente Martínez-Toldos, José Juan Gil-Guillén, Vicente Francisco PeerJ Diabetes and Endocrinology No studies have yet evaluated jointly central foveal thickness (CFT) and the presence of intraretinal fluid (PIF) to diagnose diabetic macular oedema (DMO) using optic coherence tomography (OCT). We performed a cross-sectional observational study to validate OCT for the diagnosis of DMO using both CFT and PIF assessed by OCT (3D OCT-1 Maestro). A sample of 277 eyes from primary care diabetic patients was assessed in a Spanish region in 2014. Outcome: DMO diagnosed by stereoscopic mydriatic fundoscopy. OCT was used to measure CFT and PIF. A binary logistic regression model was constructed to predict the outcome using CFT and PIF. The area under the ROC curve (AUC) of the model was calculated and non-linear equations used to determine which CFT values had a high probability of the outcome (positive test), distinguishing between the presence or absence of PIF. Calculations were made of the sensitivity, specificity, and the positive (PLR) and negative (NLR) likelihood ratios. The model was validated using bootstrapping methodology. A total of 37 eyes had DMO. AUC: 0.88. Positive test: CFT ≥90 µm plus PIF (≥310 µm if no PIF). Clinical parameters: sensitivity, 0.83; specificity, 0.89; PLR, 7.34; NLR, 0.19. The parameters in the validation were similar. In conclusion, combining PIF and CFT provided a tool to very precisely discriminate the presence of DMO. Similar studies are needed to provide greater scientific evidence for the use of PIF in the diagnosis of DMO. PeerJ Inc. 2015-11-10 /pmc/articles/PMC4647548/ /pubmed/26587352 http://dx.doi.org/10.7717/peerj.1394 Text en © 2015 Hernández-Martínez et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Diabetes and Endocrinology Hernández-Martínez, Carmen Palazón-Bru, Antonio Azrak, Cesar Navarro-Navarro, Aída Baeza-Díaz, Manuel Vicente Martínez-Toldos, José Juan Gil-Guillén, Vicente Francisco Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title | Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title_full | Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title_fullStr | Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title_full_unstemmed | Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title_short | Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
title_sort | detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid |
topic | Diabetes and Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647548/ https://www.ncbi.nlm.nih.gov/pubmed/26587352 http://dx.doi.org/10.7717/peerj.1394 |
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