Simplifying the diagnosis of optic tract lesions.

magnetic resonance imaging optic tract lesions optical coherence tomography visual field visual pathway

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2022
Historique:
received: 27 08 2022
accepted: 10 10 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 18 11 2022
Statut: epublish

Résumé

Optic tract lesions (OTL) are often difficult to diagnose. We suggest an algorithm to simplify the often-challenging diagnosis of OTL. Clinical and imaging data were retrospectively collected from the electronic files of 6 patients diagnosed with OTL at a tertiary medical center in 2016-2020. The series included 4 children and 2 adults with an OTL caused by a glioma (

Identifiants

pubmed: 36388882
doi: 10.3389/fmed.2022.1029829
pmc: PMC9642808
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1029829

Informations de copyright

Copyright © 2022 Cohen-Sinai, Man-Peles, Zahavi, Luckman and Goldenberg-Cohen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Noa Cohen-Sinai (N)

Department of Ophthalmology, Bnai Zion Medical Center, Haifa, Israel.

Inbal Man-Peles (I)

Department of Ophthalmology, Bnai Zion Medical Center, Haifa, Israel.

Alon Zahavi (A)

Department of Ophthalmology, Rabin Medical Center, Petach Tikva, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Judith Luckman (J)

Department of Radiology, Rabin Medical Center, Petach Tikva, Israel.

Nitza Goldenberg-Cohen (N)

Department of Ophthalmology, Bnai Zion Medical Center, Haifa, Israel.
Bruce and Ruth Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
The Krieger Eye Research Laboratory, Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.

Classifications MeSH