Article ; Online: Detection of Choroidal Neovascularization Using Optical Tissue Transparency.
Translational vision science & technology
2023 Volume 12, Issue 6, Page(s) 10
Abstract: Purpose: Optical tissue transparency (OTT) provides a tool for visualizing the entire tissue block. This study provides insights into the potential value of OTT with light-sheet fluorescence microscopy (LSFM) in detecting choroidal neovascularization ( ... ...
Abstract | Purpose: Optical tissue transparency (OTT) provides a tool for visualizing the entire tissue block. This study provides insights into the potential value of OTT with light-sheet fluorescence microscopy (LSFM) in detecting choroidal neovascularization (CNV) lesions. Methods: OTT with LSFM, hematoxylin and eosin (H&E) staining of paraffin sections, choroidal flatmount immunofluorescence, and optical coherence tomography angiography (OCTA) were used to obtain images of CNV. We determined the rate of change as (Data of week 1 - Data of week 2)/Data of week 1 × 100%. Finally, we compared the rate of change acquired from OTT with LSFM and the other methodologies. Results: We found that OTT with LSFM can realize three-dimensional (3D) visualizations of the entire CNV. The results showed that the decline in the rate of change from week 1 to week 2 after laser photocoagulation was 33.05% with OTT, 53.01% with H&E staining, 48.11% with choroidal flatmount, 24.06% with OCTA (B-scan), 18.08% with OCTA (en face), 10.98% with OCTA (3D reconstruction), and 7.74% with OCTA (vessel diameter index). Conclusions: OTT with LSFM will continue to be an invaluable resource for investigators to detect more visualized and quantified information regarding CNV. Translational relevance: OTT with LSFM now serves as a tool for detecting CNV in mice, and it may undergo human clinical trials in the future. |
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MeSH term(s) | Humans ; Mice ; Animals ; Fluorescein Angiography/methods ; Choroidal Neovascularization/diagnostic imaging ; Choroid/diagnostic imaging ; Tomography, Optical Coherence/methods |
Language | English |
Publishing date | 2023-05-17 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2674602-5 |
ISSN | 2164-2591 ; 2164-2591 |
ISSN (online) | 2164-2591 |
ISSN | 2164-2591 |
DOI | 10.1167/tvst.12.6.10 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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