Multimodal imaging in type 2 idiopathic macular telangiectasia.

Publication Type
Journal Article
Year of Publication
Sallo, Ferenc B; Leung, Irene; Clemons, Traci E; Peto, Tunde; Bird, Alan C; Pauleikhoff, Daniel
Date Published
2015 Apr
Adult; Aged; Aged, 80 and over; Female; Fluorescein Angiography; Humans; Male; Middle Aged; Multimodal Imaging; Optical Imaging; Phenotype; Prospective Studies; Retinal Telangiectasis; Retinal Vessels; Tomography, Optical Coherence

BACKGROUND: Macular telangiectasia Type 2 is a bilateral, progressive potentially blinding retinal disease characterized by both vascular and neurodegenerative signs that have been documented using different imaging techniques. The correlation between macular telangiectasia Type 2 signs from various imaging modalities is unknown. Our aim was to investigate the relationship of various macular telangiectasia Type 2 signs using fundus fluorescein angiography, optical coherence tomography and dual-wavelength autofluorescence images.

METHODS: Participants were selected from the macular telangiectasia Type 2 Natural History Observation Study, based on a confirmed diagnosis and the availability of images. Signs in fundus fluorescein angiography, dual-wavelength autofluorescence, and optical coherence tomography images were graded according to standardized categories, and agreement among the multimodel imaging was assessed statistically.

RESULTS: One hundred and ninety-one eyes of 96 patients were examined. Significant correlations were found between early and late fundus fluorescein angiography (ρ = 0.82, P < 0.0001), luteal pigment loss and early/late fundus fluorescein angiography signs (ρ = 0.52, P < 0.0001 and ρ = 0.62, P < 0.0001, respectively), inner and outer segment break length and pigment loss (Class 1 vs. 2/3, P < 0.0001; Class 2 vs. 3, P = 0.04). Correlation between pigment loss and retinal spaces/atrophic retinal restructuring was fair (κ = 0.25-0.33). Bilateral symmetry was slight to substantial (κ = 0.18-0.62).

CONCLUSION: Our data demonstrate the relative extent of neurodegenerative and vascular signs; it may be useful for designing systems for staging disease severity using multimodal imaging and may also provide clues to the pathogenesis of the disease.