Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine

The management of retinal diseases relies heavily on digital imaging data, including optical coherence tomography (OCT) and fluorescein angiography (FA). Targeted feature extraction and the objective quantification of features provide important opportunities in biomarker discovery, disease burden as...

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Autores principales:	Gagan Kalra, Sudeshna Sil Kar, Duriye Damla Sevgi, Anant Madabhushi, Sunil K. Srivastava, Justis P. Ehlers
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	retinal imaging quantitative biomarkers diabetic retinopathy diabetic macular edema age-related macular degeneration precision medicine Medicine R
Acceso en línea:	https://doaj.org/article/3d7e45433d314ac3bfd5ed3254f68bb7
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spelling	oai:doaj.org-article:3d7e45433d314ac3bfd5ed3254f68bb72021-11-25T18:07:39ZQuantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine10.3390/jpm111111612075-4426https://doaj.org/article/3d7e45433d314ac3bfd5ed3254f68bb72021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1161https://doaj.org/toc/2075-4426The management of retinal diseases relies heavily on digital imaging data, including optical coherence tomography (OCT) and fluorescein angiography (FA). Targeted feature extraction and the objective quantification of features provide important opportunities in biomarker discovery, disease burden assessment, and predicting treatment response. Additional important advantages include increased objectivity in interpretation, longitudinal tracking, and ability to incorporate computational models to create automated diagnostic and clinical decision support systems. Advances in computational technology, including deep learning and radiomics, open new doors for developing an imaging phenotype that may provide in-depth personalized disease characterization and enhance opportunities in precision medicine. In this review, we summarize current quantitative and radiomic imaging biomarkers described in the literature for age-related macular degeneration and diabetic eye disease using imaging modalities such as OCT, FA, and OCT angiography (OCTA). Various approaches used to identify and extract these biomarkers that utilize artificial intelligence and deep learning are also summarized in this review. These quantifiable biomarkers and automated approaches have unleashed new frontiers of personalized medicine where treatments are tailored, based on patient-specific longitudinally trackable biomarkers, and response monitoring can be achieved with a high degree of accuracy.Gagan KalraSudeshna Sil KarDuriye Damla SevgiAnant MadabhushiSunil K. SrivastavaJustis P. EhlersMDPI AGarticleretinal imagingquantitative biomarkersdiabetic retinopathydiabetic macular edemaage-related macular degenerationprecision medicineMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1161, p 1161 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	retinal imaging quantitative biomarkers diabetic retinopathy diabetic macular edema age-related macular degeneration precision medicine Medicine R
spellingShingle	retinal imaging quantitative biomarkers diabetic retinopathy diabetic macular edema age-related macular degeneration precision medicine Medicine R Gagan Kalra Sudeshna Sil Kar Duriye Damla Sevgi Anant Madabhushi Sunil K. Srivastava Justis P. Ehlers Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
description	The management of retinal diseases relies heavily on digital imaging data, including optical coherence tomography (OCT) and fluorescein angiography (FA). Targeted feature extraction and the objective quantification of features provide important opportunities in biomarker discovery, disease burden assessment, and predicting treatment response. Additional important advantages include increased objectivity in interpretation, longitudinal tracking, and ability to incorporate computational models to create automated diagnostic and clinical decision support systems. Advances in computational technology, including deep learning and radiomics, open new doors for developing an imaging phenotype that may provide in-depth personalized disease characterization and enhance opportunities in precision medicine. In this review, we summarize current quantitative and radiomic imaging biomarkers described in the literature for age-related macular degeneration and diabetic eye disease using imaging modalities such as OCT, FA, and OCT angiography (OCTA). Various approaches used to identify and extract these biomarkers that utilize artificial intelligence and deep learning are also summarized in this review. These quantifiable biomarkers and automated approaches have unleashed new frontiers of personalized medicine where treatments are tailored, based on patient-specific longitudinally trackable biomarkers, and response monitoring can be achieved with a high degree of accuracy.
format	article
author	Gagan Kalra Sudeshna Sil Kar Duriye Damla Sevgi Anant Madabhushi Sunil K. Srivastava Justis P. Ehlers
author_facet	Gagan Kalra Sudeshna Sil Kar Duriye Damla Sevgi Anant Madabhushi Sunil K. Srivastava Justis P. Ehlers
author_sort	Gagan Kalra
title	Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
title_short	Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
title_full	Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
title_fullStr	Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
title_full_unstemmed	Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine
title_sort	quantitative imaging biomarkers in age-related macular degeneration and diabetic eye disease: a step closer to precision medicine
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3d7e45433d314ac3bfd5ed3254f68bb7
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Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine

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