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Optical Coherence Tomography Angiography in Retinal Vascular Disorders.
Ong, Charles Jit Teng; Wong, Mark Yu Zheng; Cheong, Kai Xiong; Zhao, Jinzhi; Teo, Kelvin Yi Chong; Tan, Tien-En.
Afiliação
  • Ong CJT; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Wong MYZ; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Cheong KX; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Zhao J; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Teo KYC; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Tan TE; Ophthalmology and Visual Sciences Academic Clinical Program (EYE ACP), Duke-NUS Medical School, Singapore 169857, Singapore.
Diagnostics (Basel) ; 13(9)2023 May 03.
Article em En | MEDLINE | ID: mdl-37175011
Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative modality for imaging the retinal vasculature, which has some advantages over FA, such as its dye-free, non-invasive nature, and depth resolution. The depth resolution of OCTA allows for characterization of the retinal microvasculature in distinct anatomic layers, and commercial OCTA platforms also provide automated quantitative vascular and perfusion metrics. Quantitative and qualitative OCTA analysis in various retinal vascular disorders has facilitated the detection of pre-clinical vascular changes, greater understanding of known clinical signs, and the development of imaging biomarkers to prognosticate and guide treatment. With further technological improvements, such as a greater field of view and better image quality processing algorithms, it is likely that OCTA will play an integral role in the study and management of retinal vascular disorders. Artificial intelligence methods-in particular, deep learning-show promise in refining the insights to be gained from the use of OCTA in retinal vascular disorders. This review aims to summarize the current literature on this imaging modality in relation to common retinal vascular disorders.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Singapura País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Singapura País de publicação: Suíça