Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784707157671804928
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
work_keys_str_mv AT elsharkawymohamed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elrazzazmostafa theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT sharafeldeenahmed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT alhalabimarah theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT khalifafahmi theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT solimanahmed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elnakibahmed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT mahmoudali theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT ghazalmohammed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT eldaydamonyeman theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT atwanahmed theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT sandhuharpalsingh theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elbazayman theroleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elsharkawymohamed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elrazzazmostafa roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT sharafeldeenahmed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT alhalabimarah roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT khalifafahmi roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT solimanahmed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elnakibahmed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT mahmoudali roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT ghazalmohammed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT eldaydamonyeman roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT atwanahmed roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT sandhuharpalsingh roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey
AT elbazayman roleofdifferentretinalimagingmodalitiesinpredictingprogressionofdiabeticretinopathyasurvey