This paper introduces a comprehensive dataset of spectral-domain optical coherence tomography (SD-OCT) images of human eyes affected by paracentral acute middle maculopathy (PAMM). Acquired with an SD-OCT device (Optovue, Fremont, California, USA), the dataset includes 133 OCT images of lesions. Each image is paired with a corresponding YOLO label in TXT format, representing manually annotated lesion regions of PAMM, created with the assistance of ophthalmologists. This dataset is invaluable for developing and evaluating automatic algorithms for diagnosing PAMM lesions. By providing detailed annotations and high-quality images, it facilitates advancements in understanding the morphology, progression, and potential treatments of PAMM. Furthermore, it supports the improvement of diagnostic accuracy and the development of targeted therapeutic interventions for retinal diseases. This resource addresses a significant gap in the availability of public datasets focused on PAMM lesions, promoting further research in automated intelligent analysis systems for retinal OCT images.
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| http://dx.doi.org/10.1016/j.dib.2024.111121 | DOI Listing |
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Dataset for identifying paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images.
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December 2024
Department of Ophthalmology, Jiangnan University Medical Center, Wuxi, China.
This paper introduces a comprehensive dataset of spectral-domain optical coherence tomography (SD-OCT) images of human eyes affected by paracentral acute middle maculopathy (PAMM). Acquired with an SD-OCT device (Optovue, Fremont, California, USA), the dataset includes 133 OCT images of lesions. Each image is paired with a corresponding YOLO label in TXT format, representing manually annotated lesion regions of PAMM, created with the assistance of ophthalmologists.
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Division of Rheumatology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
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[A case of post-traumatic paracentral acute middle maculopathy associated with glaucoma].
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Service d'Ophtalmologie III, Centre hospitalier national d'ophtalmologie des Quinze-Vingts, IHU FOReSIGHT, 28, rue de Charenton, 75012 Paris, France; Institut de la vision, Sorbonne université, INSERM, CNRS, IHU FOReSIGHT, 17, rue Moreau, 75012 Paris, France; Hôpital Ambroise-Paré, AP-HP, université de Versailles Saint-Quentin-en-Yvelines, 9, avenue Charles-De-Gaulle, 92100 Boulogne Billancourt, France; Inserm-DGOS, centre d'investigation clinique 1423, Centre hospitalier national d'Ophtalmologie des Quinze-Vingts, IHU FOReSIGHT, 28, rue de Charenton, 75012 Paris, France.
Paracentral acute middle maculopathy is a lesion of the inner nuclear layer and outer plexiform layer of the macula associated with local or systemic vascular diseases that can induce retinal hypoxia. The etiologic mechanism may be related to the increase in intraocular pressure which creates conditions of hypoperfusion in the retinal vasculature. We present a case that shows a possible association between paracentral acute middle maculopathy and glaucoma with the trauma of elevated intraocular pressure as a triggering event.
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December 2024
Department of Ophthalmology, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Purpose: To determine if paracentral acute middle maculopathy (PAMM) and peripapillary intraretinal and subretinal fluid (IRF/SRF) could help distinguish between arteritic anterior ischemic optic neuropathy (A-AION) and non-arteritic AION (NA-AION) at an early stage.
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Paracentral Acute Middle Maculopathy Associated With Migraine With Aura in Pregnancy.
Cureus
December 2024
Newcastle Eye Centre, Royal Victoria Infirmary, Newcastle, GBR.
Paracentral acute middle maculopathy (PAMM) is a form of ischaemic maculopathy involving infarction of the inner nuclear layer secondary to deep retinal capillary plexus ischaemia. Risk factors include retinal vascular disease and systemic vascular risk factors, which can predispose the eye to ischaemia. Recent reports now show associations with pregnancy and also migraine episodes.
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