@article{Pearson2022-fk,
	abstract = {Our purpose was to investigate changes to the retina in multiple
               sclerosis (MS) using established and novel modes of retinal
               image acquisition and analysis. 72 participants with MS and 80
               healthy volunteers underwent retinal scanning with optical
               coherence tomography (OCT) and ultra-widefield (UWF) scanning
               laser ophthalmoscopy (SLO), over a two-year period. Changes in
               retinal nerve fibre layer (RNFL) thickness, macular volume and
               retinal blood vessel diameter were measured and parameters were
               then tested for associations with MS. Measurements from OCT
               showed that individuals with MS had a thinner RNFL and reduced
               macular volume when compared to healthy volunteers. On UWF
               images, participants with MS had reduced arterial widths in the
               inferior nasal quadrant of both eyes and reduced venous widths
               in the inferior nasal quadrant of right eyes. Longitudinal
               analysis showed that participants with MS had an accelerated
               annual rate of RNFL thinning in several regions of the retina.
               In conclusion, the assessment of OCT showed thinning of the RNFL
               and macula in concordance with previous reports on MS, while
               analysis of blood vessels in the retinal periphery from UWF-SLO
               images revealed novel changes.},
	author = {Pearson, T and Chen, Y and Dhillon, B and Chandran, S and van Hemert, J and MacGillivray, T},
	copyright = {https://creativecommons.org/licenses/by/4.0},
	date-added = {2022-12-29 15:41:07 +0000},
	date-modified = {2022-12-29 15:41:27 +0000},
	journal = {Sci. Rep.},
	keywords = {retinal imaging},
	language = {en},
	number = 1,
	publisher = {Springer Science and Business Media LLC},
	title = {Multi-modal retinal scanning to measure retinal thickness and peripheral blood vessels in multiple sclerosis},
	volume = 12,
	year = 2022}