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A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers [article]

Imon Banerjee, Luis de Sisternes, Joelle Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel Rubin
2019 arXiv   pre-print
Proposed model combines radiomics and deep learning to handle challenges related to imperfect ratio of OCT scan dimension and training cohort size.  ...  We propose a hybrid sequential deep learning model to predict the risk of AMD progression in non-exudative AMD eyes at multiple timepoints, starting from short-term progression (3-months) up to long-term  ...  Introduction Age-related macular degeneration (AMD) is the leading cause of visual loss in developed countries with an aging population.  ... 
arXiv:1902.10700v1 fatcat:2oykqfwkljdefmdq7bd7bkdeha

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

Gagan Kalra, Sudeshna Sil Kar, Duriye Damla Sevgi, Anant Madabhushi, Sunil K. Srivastava, Justis P. Ehlers
2021 Journal of Personalized 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  ...  Various approaches used to identify and extract these biomarkers that utilize artificial intelligence and deep learning are also summarized in this review.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jpm11111161 pmid:34834513 pmcid:PMC8622761 fatcat:tn6wzz7dxrfwxhtkk5fosednry

Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study

Gongyu Zhang, Dun Jack Fu, Bart Liefers, Livia Faes, Sophie Glinton, Siegfried Wagner, Robbert Struyven, Nikolas Pontikos, Pearse A Keane, Konstantinos Balaskas
2021 The Lancet Digital Health  
Geographic atrophy is a major vision-threatening manifestation of age-related macular degeneration, one of the leading causes of blindness globally.  ...  A modified U-Net architecture was used to develop four distinct deep-learning models for segmentation of geographic atrophy and its constituent retinal features from OCT scans acquired with Heidelberg  ...  All authors had full access to the datasets and DJF, GZ, BL, PAK, and KB verified each dataset during the course of the study. All authors were responsible for the decision to submit for publication.  ... 
doi:10.1016/s2589-7500(21)00134-5 pmid:34509423 fatcat:zxbaksxbivfkbnydfiwhm2jr4y

AI-based structure-function correlation in age-related macular degeneration

Leon von der Emde, Maximilian Pfau, Frank G. Holz, Monika Fleckenstein, Karsten Kortuem, Pearse A. Keane, Daniel L. Rubin, Steffen Schmitz-Valckenberg
2021 Eye (London. 1987)  
AbstractSensitive and robust outcome measures of retinal function are pivotal for clinical trials in age-related macular degeneration (AMD).  ...  'best-corrected visual acuity (BCVA)', 'retinal function' and 'age-related macular degeneration'.  ...  analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration Neovascular age- related macular degeneration • Random forest • BCVA at Baseline and  ... 
doi:10.1038/s41433-021-01503-3 pmid:33767409 fatcat:nf272k73hzhp7mnoff7mxlkejq

Precision medicine for age-related macular degeneration: current developments and prospects

Marc Biarnés, Vassil Vassiliev, Everson Nogoceke, Eszter Emri, Eduardo Rodríguez-Bocanegra, Lucia Ferraro, Míriam Garcia, Sascha Fauser, Jordi Monés, Imre Lengyel, Tunde Peto
2018 Expert Review of Precision Medicine and Drug Development  
1 Introduction: With the ageing population, diseases such as age-related macular degeneration 2 (AMD) will become more prevalent.  ...  for such an approach are now clearly identified and are 15 being applied to clinical developments successfully. 16 17 18 1.1 Epidemiology 2 Age-related macular degeneration (AMD) is the primary cause  ...  Deep learning is effective for 3 classifying normal versus age-related macular degeneration OCT images [162], classification 4 [163], quantification of specific disease features [164], and identification  ... 
doi:10.1080/23808993.2018.1502037 fatcat:bm45gy6o25eyndb4ofqjzzk4c4

Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm [article]

Ben Asani, Olle Holmberg, Johannes Benedikt Schiefelbein, Michael Hafner, Tina Rike Herold, Hannah Spitzer, Jakob Siedlecki, Christoph Kern, Karsten Kortuem, Fabian J Theis, Siegfried G Priglinger
2022 medRxiv   pre-print
including biomarkers that are in line with the latest consensus nomenclature of the AAO for age-related macular degeneration (AMD).  ...  For this purpose, we devised a novel deep learning based semantic segmentation algorithm providing, to the best of our knowledge, the first benchmark results for automatic segmentation of 11 OCT features  ...  In this process, we followed the Consensus Nomenclature for Reporting Neovascular Age-Related Macular Degeneration of the AAO (American Academy of Ophthalmology) for disease biomarkers and used 11 different  ... 
doi:10.1101/2022.06.16.22276342 fatcat:md6eb45ij5fdfdoaeaotgn4v4i

Retinal imaging in Alzheimer's disease

Carol Y Cheung, Vincent Mok, Paul J Foster, Emanuele Trucco, Christopher Chen, Tien Yin Wong
2021 Journal of Neurology, Neurosurgery and Psychiatry  
The development of computer algorithms for respective retinal imaging methods has further enhanced the potential of retinal imaging as a viable tool for rapid, early detection and screening of AD.  ...  Identifying biomarkers of Alzheimer's disease (AD) will accelerate the understanding of its pathophysiology, facilitate screening and risk stratification, and aid in developing new therapies.  ...  Acknowledgements We would like to acknowledge Dr Victor Chan from the Chinese University of Hong Kong, Hong Kong, China; Dr Saima Hilal from National University of Singapore, Singapore; Dr Narayanaswamy  ... 
doi:10.1136/jnnp-2020-325347 pmid:34108266 fatcat:5qo4t4tq4bcovjvxz54v25c4ke

SD-OCT Biomarkers and the Current Status of Artificial Intelligence in Predicting Progression from Intermediate to Advanced AMD

Ioana Damian, Simona Delia Nicoară
2022 Life  
Age-related macular degeneration (AMD) is one of the leading causes of blindness in the Western World.  ...  This review focuses on SD-OCT imaging biomarkers which were identified as predictors for progression in intermediate AMD to late AMD, either geographic atrophy (GA) or choroidal neovascularization (CNV  ...  We used the following keywords in various combinations: intermediate age-related macular degeneration, progression, predictive, optical coherence tomography, imaging biomarkers, artificial intelligence  ... 
doi:10.3390/life12030454 pmid:35330205 pmcid:PMC8950761 fatcat:tmfum6jndjbhfokhqy6jffxrgy

Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features

Carlo Cavaliere, Elisa Vilades, Mª Alonso-Rodríguez, María Rodrigo, Luis Pablo, Juan Miguel, Elena López-Guillén, Eva Morla, Luciano Boquete, Elena Garcia-Martin
2019 Sensors  
Swept-source optical coherence tomography (SS-OCT) was performed using a DRI (deep-range imaging) Triton OCT device (Topcon Corp., Tokyo, Japan).  ...  The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier  ...  A single biomarker for diagnosing MS does not exist at present. Oligoclonal bands, magnetic resonance imaging (MRI), and optical coherence tomography (OCT) are all used in clinical practice [1] .  ... 
doi:10.3390/s19235323 pmid:31816925 pmcid:PMC6928765 fatcat:7lipy2vcajhbpg47p7nxe4pg6q

The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey

Gehad A. Saleh, Nihal M. Batouty, Sayed Haggag, Ahmed Elnakib, Fahmi Khalifa, Fatma Taher, Mohamed Abdelazim Mohamed, Rania Farag, Harpal Sandhu, Ashraf Sewelam, Ayman El-Baz
2022 Bioengineering  
Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear, epiretinal membrane, macular  ...  Among these diseases, AMD and DR are the major causes of progressive vision loss, while the latter is recognized as a world-wide epidemic.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bioengineering9080366 fatcat:sqws7s2rnjfefb2zpbmc35pkqy

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

Palaiologos Alexopoulos, Chisom Madu, Gadi Wollstein, Joel S. Schuman
2022 Frontiers in Medicine  
The introduction of optical coherence tomography (OCT) was a revolution in eye imaging and has since become the standard of care for a plethora of conditions.  ...  Its most recent iterations, OCT angiography, and visible light OCT, as well as imaging modalities, such as fluorescent lifetime imaging ophthalmoscopy, would allow a more thorough evaluation of patients  ...  A similar approach with combination of FF-OCT and SD-OCT has been used for retinal imaging.  ... 
doi:10.3389/fmed.2022.891369 pmid:35847772 pmcid:PMC9279625 fatcat:k4ct7w6cprawthi7z6ixol56za


Jae Hui Kim, Young Suk Chang, Jong Woo Kim
2017 Retina  
DF; Comparison of Age-Related Macular Degeneration Treatments Trials Research Group.  ...  PURPOSE: To estimate the incidence, size, and growth rate of geographic atrophy (GA) during 5 years of follow-up among participants in the Comparison of Age-Related Macular Degeneration Treatments Trials  ...  The aim of this review article is to analyze various OCT based imaging biomarkers and their potential to be considered as surrogate endpoints for diabetic retinopathy, age related macular degeneration,  ... 
doi:10.1097/iae.0000000000001494 pmid:28092343 fatcat:kwsk34cctbfpxedjibcupaswti

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

Philipp Seebock, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs
2018 IEEE Transactions on Medical Imaging  
The identification and quantification of markers in medical images is critical for diagnosis, prognosis, and disease management.  ...  A careful qualitative analysis of the identified data driven markers reveals how their quantifiable occurrence aligns with our current understanding of disease course, in early- and late age-related macular  ...  For instance, age-related macular degeneration (AMD) is the leading cause of blindness in industrialized countries and has a worldwide prevalence of 9% [4] .  ... 
doi:10.1109/tmi.2018.2877080 pmid:30346281 fatcat:chgfu3f4inamlk4ttxqndhsate

Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

Imon Banerjee, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin
2020 Scientific Reports  
We used a retrospective clinical trial dataset that includes 671 AMD fellow eyes with 13,954 observations before any signs of exudation for training and validation in a tenfold cross validation setting  ...  We propose a hybrid sequential prediction model called "Deep Sequence", integrating radiomics-engineered imaging features, demographic, and visual factors, with a recursive neural network (RNN) model in  ...  Age-related macular degeneration (AMD) is the leading cause of visual loss in developed countries with an aging population 1 .  ... 
doi:10.1038/s41598-020-72359-y pmid:32963300 pmcid:PMC7508843 fatcat:2iqcniotzjhydhjbbbopq45yfm

Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration

Sophie Klimscha, Sebastian M. Waldstein, Thomas Schlegl, Hrvoje Bogunovic, Amir Sadeghipour, Ana-Maria Philip, Dominika Podkowinski, Eleonore Pablik, Li Zhang, Michael D. Abramoff, Milan Sonka, Bianca S. Gerendas (+1 others)
2017 Investigative Ophthalmology and Visual Science  
To identify the spatial distribution of exudative features of choroidal neovascularization in neovascular age-related macular degeneration (nAMD) based on the localization of intraretinal cystoid fluid  ...  Spatial correspondence between intraretinal fluid, subretinal fluid, and pigment epithelial detachment in neovascular age-related macular degeneration. Invest Ophthalmol Vis Sci. PURPOSE.  ...  Acknowledgments The authors thank the Austrian Federal Ministry of Science, Research and Economy and the National Foundation for Research, Technology and Development for support.  ... 
doi:10.1167/iovs.16-20201 pmid:28813577 fatcat:3zuezh4qefbhpbjeq6wvm7x36y
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