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Retinal imaging technologies in cerebral malaria: a systematic review
BACKGROUND: Cerebral malaria (CM) continues to present a major health challenge, particularly in sub-Saharan Africa. CM is associated with a characteristic malarial retinopathy (MR) with diagnostic and prognostic significance. Advances in retinal imaging have allowed researchers to better characteri...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131356/ https://www.ncbi.nlm.nih.gov/pubmed/37101295 http://dx.doi.org/10.1186/s12936-023-04566-7 |
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author | Wilson, Kyle J. Dhalla, Amit Meng, Yanda Tu, Zhanhan Zheng, Yalin Mhango, Priscilla Seydel, Karl B. Beare, Nicholas A. V. |
author_facet | Wilson, Kyle J. Dhalla, Amit Meng, Yanda Tu, Zhanhan Zheng, Yalin Mhango, Priscilla Seydel, Karl B. Beare, Nicholas A. V. |
author_sort | Wilson, Kyle J. |
collection | PubMed |
description | BACKGROUND: Cerebral malaria (CM) continues to present a major health challenge, particularly in sub-Saharan Africa. CM is associated with a characteristic malarial retinopathy (MR) with diagnostic and prognostic significance. Advances in retinal imaging have allowed researchers to better characterize the changes seen in MR and to make inferences about the pathophysiology of the disease. The study aimed to explore the role of retinal imaging in diagnosis and prognostication in CM; establish insights into pathophysiology of CM from retinal imaging; establish future research directions. METHODS: The literature was systematically reviewed using the African Index Medicus, MEDLINE, Scopus and Web of Science databases. A total of 35 full texts were included in the final analysis. The descriptive nature of the included studies and heterogeneity precluded meta-analysis. RESULTS: Available research clearly shows retinal imaging is useful both as a clinical tool for the assessment of CM and as a scientific instrument to aid the understanding of the condition. Modalities which can be performed at the bedside, such as fundus photography and optical coherence tomography, are best positioned to take advantage of artificial intelligence-assisted image analysis, unlocking the clinical potential of retinal imaging for real-time diagnosis in low-resource environments where extensively trained clinicians may be few in number, and for guiding adjunctive therapies as they develop. CONCLUSIONS: Further research into retinal imaging technologies in CM is justified. In particular, co-ordinated interdisciplinary work shows promise in unpicking the pathophysiology of a complex disease. |
format | Online Article Text |
id | pubmed-10131356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101313562023-04-27 Retinal imaging technologies in cerebral malaria: a systematic review Wilson, Kyle J. Dhalla, Amit Meng, Yanda Tu, Zhanhan Zheng, Yalin Mhango, Priscilla Seydel, Karl B. Beare, Nicholas A. V. Malar J Review BACKGROUND: Cerebral malaria (CM) continues to present a major health challenge, particularly in sub-Saharan Africa. CM is associated with a characteristic malarial retinopathy (MR) with diagnostic and prognostic significance. Advances in retinal imaging have allowed researchers to better characterize the changes seen in MR and to make inferences about the pathophysiology of the disease. The study aimed to explore the role of retinal imaging in diagnosis and prognostication in CM; establish insights into pathophysiology of CM from retinal imaging; establish future research directions. METHODS: The literature was systematically reviewed using the African Index Medicus, MEDLINE, Scopus and Web of Science databases. A total of 35 full texts were included in the final analysis. The descriptive nature of the included studies and heterogeneity precluded meta-analysis. RESULTS: Available research clearly shows retinal imaging is useful both as a clinical tool for the assessment of CM and as a scientific instrument to aid the understanding of the condition. Modalities which can be performed at the bedside, such as fundus photography and optical coherence tomography, are best positioned to take advantage of artificial intelligence-assisted image analysis, unlocking the clinical potential of retinal imaging for real-time diagnosis in low-resource environments where extensively trained clinicians may be few in number, and for guiding adjunctive therapies as they develop. CONCLUSIONS: Further research into retinal imaging technologies in CM is justified. In particular, co-ordinated interdisciplinary work shows promise in unpicking the pathophysiology of a complex disease. BioMed Central 2023-04-26 /pmc/articles/PMC10131356/ /pubmed/37101295 http://dx.doi.org/10.1186/s12936-023-04566-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Wilson, Kyle J. Dhalla, Amit Meng, Yanda Tu, Zhanhan Zheng, Yalin Mhango, Priscilla Seydel, Karl B. Beare, Nicholas A. V. Retinal imaging technologies in cerebral malaria: a systematic review |
title | Retinal imaging technologies in cerebral malaria: a systematic review |
title_full | Retinal imaging technologies in cerebral malaria: a systematic review |
title_fullStr | Retinal imaging technologies in cerebral malaria: a systematic review |
title_full_unstemmed | Retinal imaging technologies in cerebral malaria: a systematic review |
title_short | Retinal imaging technologies in cerebral malaria: a systematic review |
title_sort | retinal imaging technologies in cerebral malaria: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131356/ https://www.ncbi.nlm.nih.gov/pubmed/37101295 http://dx.doi.org/10.1186/s12936-023-04566-7 |
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