Deep Learning Can Accurately Distinguish Between True Papilledema and Optic Disc Drusen on Fundus Photographs

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Identifier 20220214_nanos_sciplatform1_06
Title Deep Learning Can Accurately Distinguish Between True Papilledema and Optic Disc Drusen on Fundus Photographs
Creator Kanchalika Sathianvichitr, Raymond Najjar, Zhiqun Tang, Steffen Hamann, Clare Fraser, J. Alexander Fraser, Elisabeth Wibroe, Mung Yan Lin, Étienne Bénard-Séguin, Caroline Vasseneix, Makoto Nakamura, Takano Fumio, Janvier Ngoy Kilangalanga, Fiona Costello, Selvakumar Ambika, Catherine Vignal-Clermont, Nicolae Sanda, Marie-Bénédicte Rougier, Jeong-Min Hwang, Hee Kyung Yang, Dong Hyun Kim, Wolf Lagrèze, Patrick Yu-Wai-Man, Neil Miller, John Chen, Nancy Newman, Tien Yin Wong, Valérie Biousse, Dan Milea, on behalf of the BONSAI Consortium
Subject High Intracranial Pressure/Headache; Optic Neuropathy; Pseudotumor Cerebri; Vascular Disorders
Description Identification of true papilledema due to raised intracranial pressure requires high neuro-ophthalmic expertise and expensive ancillary testing. Its ophthalmoscopic diagnosis can be easily mistaken with false papilledema due to optic disc drusen (ODD), especially if the latter are buried within the optic nerve. We aimed to evaluate the performance of a deep learning system (DLS) to automatically distinguish between true papilledema and ODD on standard retinal fundus images, in a large international multiethnic population.
Date 2022-02
Language eng
Format application/pdf
Type Text
Source 2022 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2022: Scientific Platform Session I
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Holding Institution North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Rights Management Copyright 2022. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6vq6agz
Context URL The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/
Contributor Primary Kanchalika Sathianvichitr, MD
Contributor Secondary Raymond Najjar, Zhiqun Tang, Steffen Hamann, Clare Fraser, J. Alexander Fraser, Elisabeth Wibroe, Mung Yan Lin, Étienne Bénard-Séguin, Caroline Vasseneix, Makoto Nakamura, Takano Fumio, Janvier Ngoy Kilangalanga, Fiona Costello, Selvakumar Ambika, Catherine Vignal-Clermont, Nicolae Sanda, Marie-Bénédicte Rougier, Jeong-Min Hwang, Hee Kyung Yang, Dong Hyun Kim, Wolf Lagrèze, Patrick Yu-Wai-Man, Neil Miller, John Chen, Nancy Newman, Tien Yin Wong, Valérie Biousse, Dan Milea, on behalf of the BONSAI Consortium
Setname ehsl_novel_nam
ID 2102078
Reference URL https://collections.lib.utah.edu/ark:/87278/s6vq6agz
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