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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.
Afiliación
  • Wilson KJ; Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK. kyle.wilson@liverpool.ac.uk.
  • Dhalla A; Malawi-Liverpool-Wellcome Trust, Blantyre, Malawi. kyle.wilson@liverpool.ac.uk.
  • Meng Y; Department of Ophthalmology, Sheffield Teaching Hospitals, Sheffield, UK.
  • Tu Z; Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
  • Zheng Y; School of Psychology and Vision Sciences, College of Life Science, The University of Leicester Ulverscroft Eye Unit, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK.
  • Mhango P; Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
  • Seydel KB; St. Paul's Eye Unit, Royal Liverpool University Hospitals, Liverpool, UK.
  • Beare NAV; Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK.
Malar J ; 22(1): 139, 2023 Apr 26.
Article en En | MEDLINE | ID: mdl-37101295
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedades de la Retina / Malaria Cerebral Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Malar J Asunto de la revista: MEDICINA TROPICAL Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedades de la Retina / Malaria Cerebral Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Malar J Asunto de la revista: MEDICINA TROPICAL Año: 2023 Tipo del documento: Article