scholarly journals Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) in Eyes With Pigment Epithelial Detachments Due to Age-Related Macular Degeneration

2019 ◽  
Vol 60 (8) ◽  
pp. 3054 ◽  
Author(s):  
Lydia Sauer ◽  
Christopher B. Komanski ◽  
Alexandra S. Vitale ◽  
Eric D. Hansen ◽  
Paul S. Bernstein
Keyword(s):  
Macular Degeneration ◽  
Fluorescence Lifetime ◽  
Age Related Macular Degeneration ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Pigment Epithelial ◽  
Age Related

scholarly journals Progressive dysmorphia of retinal pigment epithelium in age related macular degeneration revealed by fluorescence lifetime imaging

2021 ◽  
Author(s):  
Martin Hammer ◽  
Juliane Jakob-Girbig ◽  
Linda Schwanengel ◽  
Christine A. Curcio ◽  
Somar Hasan ◽  
...  
Keyword(s):  
Retinal Pigment Epithelium ◽  
Macular Degeneration ◽  
Fluorescence Lifetime ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Age Related Macular Degeneration ◽  
Fundus Photography ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Age Related

AbstractPurposeTo observe changes of the retinal pigment epithelium (RPE) on the transition from dysmorphia to atrophy in age related macular degeneration (AMD) by fluorescence lifetime imaging ophthalmoscopy (FLIO).MethodsMultimodal imaging including color fundus photography (CFP), optical coherence tomography (OCT), fundus autofluorescence (FAF) imaging, and FLIO was performed in 40 eyes of 37 patients with intermediate AMD and no evidence for geographic atrophy or macular neovascularization) (mean age: 74.2±7.0 years). Twenty-three eyes were followed for 28.3±18.3 months. Seven eyes had a second follow up after 46.6±9.0 months. Thickened RPE on OCT, hyperpigmentation on CFP, and migrated RPE, seen as hyperreflective foci (HRF) on OCT, were identified. Fluorescence lifetimes in two spectral channels (SSC: 500-560 nm, LSC: 560-720 nm) as well as emission spectrum intensity ratio (ESIR) of the lesions were measured by FLIO.ResultsAs hyperpigmented areas form and RPE migrates into the retina, FAF lifetimes lengthen and ESRI of RPE cells increase. Thickened RPE showed lifetimes of 256±49 ps (SSC) and 336±35 ps (LSC) and an ESIR of 0.552±0.079. For hyperpigmentation, these values were 317±68 ps (p<0.001), 377±56 ps (p<0.001), and 0.609±0.081 (p=0.001), respectively, and for HRF 337±79 ps (p<0.001), 414±50 ps (p<0.001), and 0.654±0.075 (p<0.001).ConclusionsIn the process of RPE degeneration, comprising different steps of dysmorphia, hyperpigmentation, and migration, lengthening of FAF lifetimes and a hypsochromic shift of emission spectra can be observed by FLIO. Thus, FLIO might provide early biomarkers for AMD progression and contribute to our understanding of RPE pathology.

scholarly journals Metabolomics and Age-Related Macular Degeneration

Metabolites ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Connor Brown ◽  
Brian Green ◽  
Richard Thompson ◽  
Anneke den Hollander ◽  
Imre Lengyel ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Clinical Intervention ◽  
Disease Diagnosis ◽  
Age Related Macular Degeneration ◽  
Fluorescence Lifetime Imaging ◽  
Metabolic Dysfunction ◽  
Early Disease ◽  
Lifetime Imaging ◽  
Age Related ◽  
Early Markers

Age-related macular degeneration (AMD) leads to irreversible visual loss, therefore, early intervention is desirable, but due to its multifactorial nature, diagnosis of early disease might be challenging. Identification of early markers for disease development and progression is key for disease diagnosis. Suitable biomarkers can potentially provide opportunities for clinical intervention at a stage of the disease when irreversible changes are yet to take place. One of the most metabolically active tissues in the human body is the retina, making the use of hypothesis-free techniques, like metabolomics, to measure molecular changes in AMD appealing. Indeed, there is increasing evidence that metabolic dysfunction has an important role in the development and progression of AMD. Therefore, metabolomics appears to be an appropriate platform to investigate disease-associated biomarkers. In this review, we explored what is known about metabolic changes in the retina, in conjunction with the emerging literature in AMD metabolomics research. Methods for metabolic biomarker identification in the eye have also been discussed, including the use of tears, vitreous, and aqueous humor, as well as imaging methods, like fluorescence lifetime imaging, that could be translated into a clinical diagnostic tool with molecular level resolution.

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