Utility of multimodal imaging in the clinical diagnosis of inherited retinal degenerations

Author:

Lee Brian J. H.1,Sun Christopher Z. Y.12,Ong Charles J. T.12,Jain Kanika3,Tan Tien-En12,Chan Choi Mun12,Mathur Ranjana S.12,Tang Rachael W. C.1,Bylstra Yasmin4,Kam Sylvia P. R.5,Lim Weng Khong4678,Fenner Beau J.12

Affiliation:

1. Singapore National Eye Centre, Singapore Eye Research Institute, Singapore

2. Ophthalmology and Visual Sciences Clinical Academic Program, Duke-NUS Graduate Medical School, Singapore

3. Genome Institute of Singapore, Singapore

4. SingHealth-Duke-NUS Genomic Medicine Centre, Institute of Precision Medicine, Singapore

5. Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore

6. SingHealth Duke-NUS Genomic Medicine Centre, Singapore

7. Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore

8. Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore

Abstract

Abstract Inherited retinal degeneration (IRD) is a heterogeneous group of genetic disorders of variable onset and severity, with vision loss being a common endpoint in most cases. More than 50 distinct IRD phenotypes and over 280 causative genes have been described. Establishing a clinical phenotype for patients with IRD is particularly challenging due to clinical variability even among patients with similar genotypes. Clinical phenotyping provides a foundation for understanding disease progression and informing subsequent genetic investigations. Establishing a clear clinical phenotype for IRD cases is required to corroborate the data obtained from exome and genome sequencing, which often yields numerous variants in genes associated with IRD. In the current work, we review the use of contemporary retinal imaging modalities, including ultra-widefield and autofluorescence imaging, optical coherence tomography, and multispectral imaging, in the diagnosis of IRD.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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1. To see with new eyes;Taiwan Journal of Ophthalmology;2024-10

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