Ocular Manifestations of Sickle-Cell Disease

Goodman, George; Sallmann, L.; Holland, Monte G.

doi:10.1001/archopht.1957.00940010673005

Cited by 82 publications

(20 citation statements)

References 33 publications

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“…The analysis revealed that most of OCTA parameters are not significantly correlated with the retinal thickness except for the area of FAZ in Circle 1 (1 mm diameter or 0.5 mm radius from the center) of the superficial layer. This suggests that the OCTA may provide additional information on disease associated vasculature change than retinal thickness only information from traditional OCT. Morphological distortion of retinal blood vessels in SCD patients occurs due to sickle cell anemia [14][15][16]. Quantitative analysis of blood vessel tortuosity revealed 19.07% tortuosity increment in SCD group, compared to that in control group.…”

Section: Discussionmentioning

confidence: 99%

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Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

Alam

Thapa

Lim

et al. 2017

Biomed. Opt. Express

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Abstract:Early detection is an essential step for effective intervention of sickle cell retinopathy (SCR). Emerging optical coherence tomography angiography (OCTA) provides excellent three-dimensional (3D) resolution to enable label-free, noninvasive visualization of retinal vascular structures, promising improved sensitivity in detecting SCR. However, quantitative analysis of SCR characteristics in OCTA images is yet to be established. In this study, we conducted comprehensive analysis of six OCTA parameters, including blood vessel tortuosity, vessel diameter, vessel perimeter index (VPI), area of foveal avascular zone (FAZ), contour irregularity of FAZ and parafoveal avascular density. Compared to traditional retinal thickness analysis, five of these six OCTA parameters show improved sensitivity for SCR detection than retinal thickness. It is observed that the most sensitive parameters were the contour irregularity of FAZ in the superficial layer and avascular density in temporal regions, while the area of FAZ, tortuosity and mean diameter of the vessel were moderately sensitive. E2395-E2402 (2015). 12. Z. Chu, J. Lin, C. Gao, C. Xin, Q. Zhang, C. L. Chen, L. Roisman, G. Gregori, P. J. Rosenfeld, and R. K. Wang, "Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography," J.

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Section: Discussionmentioning

confidence: 99%

“…Retinal blood vessels in SCD patients are known to be more tortuous than those in normal subjects [14][15][16], due to sickle cell anemia. Therefore, quantitative analysis of blood vessel tortuosity can be valuable.…”

Section: Blood Vessel Tortuositymentioning

confidence: 99%

Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

Alam

Thapa

Lim

et al. 2017

Biomed. Opt. Express

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“…Em 1930, Cook (5) descreveu pela primeira vez as alterações fundoscópicas na anemia falciforme, que só foram confirmadas em 1954, por Henry, Chapman (6) . Sua ligação ao genótipo SC foi comprovada em 1956, por Hannon (7) ; em 1957, por Goodman (8) et al, e em 1959, por Lieb et al (9) .…”

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Achados fundoscópicos em crianças portadoras de anemia falciforme no estado do Rio Grande do Norte

Garcia¹,

Fernandes²,

Uchôa³

et al. 2002

Arq. Bras. Oftalmol.

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Objetivos: Detectar os principais achados fundoscópicos em crianças portadoras de hemoglobinopatias falciformes. Métodos: Foram estudados 26 pacientes com hemoglobinopatias falciformes, no Serviço de Oftalmologia do Hospital Universitário Onofre Lopes, Natal, RN, que foram submetidos a protocolo de pesquisa pré-estabelecido. Os resultados foram avaliados estatisticamente pelo teste qui-quadrado. Resultados: A idade média foi de 10,6 anos, com acuidade visual igual ou melhor que 20/25 na maioria, excetuando-se 3 olhos, que apresentavam outras doenças associadas. O tipo mais freqüente foi o SS com 57,7% (15/26) dos casos, seguido pelos SC e SA com 15,4% (4/26) cada, e pelo S-Thal com 11,5% (3/26). A freqüência da retinopatia por células falciformes foi maior após os 10 anos de idade, sendo mais freqüente, em valores relativos, no tipo S-Thal (100% dos casos) e, em valores absolutos, no tipo SS (9 casos). Os dois achados mais comuns foram tortuosidade venosa (12/26) e "black sunburst" (7/26). Conclusões: Observamos que a incidência de retinopatia por células falciformes aumentou após os 10 anos de idade e não evidenciamos achados da doença proliferativa. Portanto, enfatizamos a necessidade do exame oftalmológico precoce nos portadores de anemia falciforme, como forma de prevenir futuras complicações oculares.

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“…The quantitative assessment of the anatomical changes may be used as a biomarker of SCR severity. Early in the disease process, ophthalmoscopy may show dilated [6,7] and tortuous [6,8,9] retinal vessels along with a foveal depression sign [10] in patients with SCR. The spectral domain optical coherence tomography (SDOCT) imaging of SCR has shown outer retinal thinning and macular splaying [11] when the clinical exam shows minimal findings and the patient has excellent visual acuity.…”

Section: Introductionmentioning

confidence: 99%

Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

Alam

Thapa

Lim

et al. 2017

Biomed. Opt. Express

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As a new optical coherence tomography (OCT) imaging modality, there is no standardized quantitative interpretation of OCT angiography (OCTA) characteristics of sickle cell retinopathy (SCR). This study is to demonstrate computer-aided SCR classification using quantitative OCTA features, i.e., blood vessel tortuosity (BVT), blood vessel diameter (BVD), vessel perimeter index (VPI), foveal avascular zone (FAZ) area, FAZ contour irregularity, parafoveal avascular density (PAD). It was observed that combined features show improved classification performance, compared to single feature. Three classifiers, including support vector machine (SVM), k-nearest neighbor (KNN) algorithm, and discriminant analysis, were evaluated. Sensitivity, specificity, and accuracy were quantified to assess the performance of each classifier. For SCR vs. control classification, all three classifiers performed well with an average accuracy of 95% using the six quantitative OCTA features. For mild vs. severe stage retinopathy classification, SVM shows better (97% accuracy) performance, compared to KNN algorithm (95% accuracy) and discriminant analysis (88% accuracy). "Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography," J.

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Ocular Manifestations of Sickle-Cell Disease

Cited by 82 publications

References 33 publications

Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

Achados fundoscópicos em crianças portadoras de anemia falciforme no estado do Rio Grande do Norte

Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

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