Retinal Imaging Technologies in Cerebral Malaria: A Systematic Review

Author:

Wilson Kyle J.1,Dhalla Amit2,Meng Yanda1,Tu Zhanhan3,Zheng Yalin1,Mhango Priscilla P.4,Seydel Karl B.5,Beare Nicholas A. V.1

Affiliation:

1. Department of Eye & Vision Science, University of Liverpool

2. Department of Ophthalmology, Sheffield Teaching Hospitals

3. Ulverscroft Eye Unit, The University of Leicester

4. Department of Ophthalmology, Kamuzu University of Health Sciences

5. Department of Osteopathic Medicine, Michigan State University

Abstract

Abstract 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 characterise the changes seen in MR and to make inferences about the pathophysiology of the disease. Aims 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 We systematically reviewed the literature from 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 our 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.

Publisher

Research Square Platform LLC

Reference66 articles.

1. WHO. World Malaria Report. World Health Organisation. Licence: CC BY-NC-SA 3.0 IGO.; 2021.

2. WHO. Guidelines for Malaria. Geneva: World Health Organisation. (WHO/UCN/GMP/2022.01 Rev.2). License: CC BY-NC-SA 3.0 IGO.; 2022.

3. Malarial retinopathy: a newly established diagnostic sign in cerebral malaria;Beare NAV;Am J Trop Med Hyg,2006

4. Beare N, Southern C, Chalira C, Taylor T, Molyneux M, Harding S. Prognostic significance and course of retinopathy in children with severe malaria. Arch Ophthalmol Chic Ill 1960. 2004 Aug;122(8).

5. Classifying and grading retinal signs in severe malaria;Harding SP;Trop Doct,2006

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