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The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result in endothelial damage, leading to macular edema, altered reti...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101725/ https://www.ncbi.nlm.nih.gov/pubmed/35591182 http://dx.doi.org/10.3390/s22093490 |
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author | Elsharkawy, Mohamed Elrazzaz, Mostafa Sharafeldeen, Ahmed Alhalabi, Marah Khalifa, Fahmi Soliman, Ahmed Elnakib, Ahmed Mahmoud, Ali Ghazal, Mohammed El-Daydamony, Eman Atwan, Ahmed Sandhu, Harpal Singh El-Baz, Ayman |
author_facet | Elsharkawy, Mohamed Elrazzaz, Mostafa Sharafeldeen, Ahmed Alhalabi, Marah Khalifa, Fahmi Soliman, Ahmed Elnakib, Ahmed Mahmoud, Ali Ghazal, Mohammed El-Daydamony, Eman Atwan, Ahmed Sandhu, Harpal Singh El-Baz, Ayman |
author_sort | Elsharkawy, Mohamed |
collection | PubMed |
description | Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result in endothelial damage, leading to macular edema, altered retinal permeability, retinal ischemia, and neovascularization. In order to facilitate rapid screening and diagnosing, as well as grading of DR, different retinal modalities are utilized. Typically, a computer-aided diagnostic system (CAD) uses retinal images to aid the ophthalmologists in the diagnosis process. These CAD systems use a combination of machine learning (ML) models (e.g., deep learning (DL) approaches) to speed up the diagnosis and grading of DR. In this way, this survey provides a comprehensive overview of different imaging modalities used with ML/DL approaches in the DR diagnosis process. The four imaging modalities that we focused on are fluorescein angiography, fundus photographs, optical coherence tomography (OCT), and OCT angiography (OCTA). In addition, we discuss limitations of the literature that utilizes such modalities for DR diagnosis. In addition, we introduce research gaps and provide suggested solutions for the researchers to resolve. Lastly, we provide a thorough discussion about the challenges and future directions of the current state-of-the-art DL/ML approaches. We also elaborate on how integrating different imaging modalities with the clinical information and demographic data will lead to promising results for the scientists when diagnosing and grading DR. As a result of this article’s comparative analysis and discussion, it remains necessary to use DL methods over existing ML models to detect DR in multiple modalities. |
format | Online Article Text |
id | pubmed-9101725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91017252022-05-14 The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey Elsharkawy, Mohamed Elrazzaz, Mostafa Sharafeldeen, Ahmed Alhalabi, Marah Khalifa, Fahmi Soliman, Ahmed Elnakib, Ahmed Mahmoud, Ali Ghazal, Mohammed El-Daydamony, Eman Atwan, Ahmed Sandhu, Harpal Singh El-Baz, Ayman Sensors (Basel) Article Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result in endothelial damage, leading to macular edema, altered retinal permeability, retinal ischemia, and neovascularization. In order to facilitate rapid screening and diagnosing, as well as grading of DR, different retinal modalities are utilized. Typically, a computer-aided diagnostic system (CAD) uses retinal images to aid the ophthalmologists in the diagnosis process. These CAD systems use a combination of machine learning (ML) models (e.g., deep learning (DL) approaches) to speed up the diagnosis and grading of DR. In this way, this survey provides a comprehensive overview of different imaging modalities used with ML/DL approaches in the DR diagnosis process. The four imaging modalities that we focused on are fluorescein angiography, fundus photographs, optical coherence tomography (OCT), and OCT angiography (OCTA). In addition, we discuss limitations of the literature that utilizes such modalities for DR diagnosis. In addition, we introduce research gaps and provide suggested solutions for the researchers to resolve. Lastly, we provide a thorough discussion about the challenges and future directions of the current state-of-the-art DL/ML approaches. We also elaborate on how integrating different imaging modalities with the clinical information and demographic data will lead to promising results for the scientists when diagnosing and grading DR. As a result of this article’s comparative analysis and discussion, it remains necessary to use DL methods over existing ML models to detect DR in multiple modalities. MDPI 2022-05-04 /pmc/articles/PMC9101725/ /pubmed/35591182 http://dx.doi.org/10.3390/s22093490 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Elsharkawy, Mohamed Elrazzaz, Mostafa Sharafeldeen, Ahmed Alhalabi, Marah Khalifa, Fahmi Soliman, Ahmed Elnakib, Ahmed Mahmoud, Ali Ghazal, Mohammed El-Daydamony, Eman Atwan, Ahmed Sandhu, Harpal Singh El-Baz, Ayman The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title | The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title_full | The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title_fullStr | The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title_full_unstemmed | The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title_short | The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey |
title_sort | role of different retinal imaging modalities in predicting progression of diabetic retinopathy: a survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101725/ https://www.ncbi.nlm.nih.gov/pubmed/35591182 http://dx.doi.org/10.3390/s22093490 |
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