A Retinal Oct-Angiography and Cardiovascular STAtus (RASTA) Dataset of Swept-Source Microvascular Imaging for Cardiovascular Risk Assessment

Clément Germanèse, Fabrice Meriaudeau, Pétra Eid, Ramin Tadayoni, Dominique Ginhac, Atif Anwer, Steinberg Laure-Anne, Charles Guenancia, Catherine Creuzot-Garcher, Pierre-Henry Gabrielle and Louis Arnould ()
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Clément Germanèse: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France
Fabrice Meriaudeau: Artificial Vision and Imaging (ImViA), Imagerie Fonctionnelle et Moléculaire et Traitement des Images Médicales (IFTIM), (EA 7535), Faculty of Health Sciences, Université de Bourgogne Franche-Comté, 21078 Dijon, France
Pétra Eid: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France
Ramin Tadayoni: Department of Ophthalmology, Université Paris Cité, AP-HP, Lariboisière, Saint Louis and Adolphe de Rothschild Fondation Hospitals, 75000 Paris, France
Dominique Ginhac: Artificial Vision and Imaging (ImViA), Imagerie Fonctionnelle et Moléculaire et Traitement des Images Médicales (IFTIM), (EA 7535), Faculty of Health Sciences, Université de Bourgogne Franche-Comté, 21078 Dijon, France
Atif Anwer: Artificial Vision and Imaging (ImViA), Imagerie Fonctionnelle et Moléculaire et Traitement des Images Médicales (IFTIM), (EA 7535), Faculty of Health Sciences, Université de Bourgogne Franche-Comté, 21078 Dijon, France
Steinberg Laure-Anne: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France
Charles Guenancia: Department of Cardiology, Dijon University Hospital, 21079 Dijon CEDEX, France
Catherine Creuzot-Garcher: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France
Pierre-Henry Gabrielle: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France
Louis Arnould: Department of Ophthalmology, Dijon University Hospital, 21079 Dijon CEDEX, France

Data, 2023, vol. 8, issue 10, 1-10

Abstract: In the context of exponential demographic growth, the imbalance between human resources and public health problems impels us to envision other solutions to the difficulties faced in the diagnosis, prevention, and large-scale management of the most common diseases. Cardiovascular diseases represent the leading cause of morbidity and mortality worldwide. A large-scale screening program would make it possible to promptly identify patients with high cardiovascular risk in order to manage them adequately. Optical coherence tomography angiography (OCT-A), as a window into the state of the cardiovascular system, is a rapid, reliable, and reproducible imaging examination that enables the prompt identification of at-risk patients through the use of automated classification models. One challenge that limits the development of computer-aided diagnostic programs is the small number of open-source OCT-A acquisitions available. To facilitate the development of such models, we have assembled a set of images of the retinal microvascular system from 499 patients. It consists of 814 angiocubes as well as 2005 en face images. Angiocubes were captured with a swept-source OCT-A device of patients with varying overall cardiovascular risk. To the best of our knowledge, our dataset, Retinal oct-Angiography and cardiovascular STAtus (RASTA), is the only publicly available dataset comprising such a variety of images from healthy and at-risk patients. This dataset will enable the development of generalizable models for screening cardiovascular diseases from OCT-A retinal images.

Keywords: retina; swept-source; optical coherence tomography angiography; cardiovascular risk; CHA 2 DS 2 -VASc (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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