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Abstract
Optical coherence tomography angiography (OCTA) is a non-invasive, high-resolution imaging modality with growing application in dermatology and microvascular assessment. Accepted reference values for OCTA-derived microvascular parameters in skin do not yet exist but need to be established to drive OCTA into the clinic. In this pilot study, we assess a range of OCTA microvascular metrics at rest and after post-occlusive reactive hyperaemia (PORH) in the hands and feet of 52 healthy people and 11 people with well-controlled type 2 diabetes mellitus (T2DM). We calculate each metric, measure test–retest repeatability, and evaluate correlation with demographic risk factors. Our study delivers extremity-specific, age-dependent reference values and coefficients of repeatability of nine microvascular metrics at baseline and at the maximum of PORH. Significant differences are not seen for age-dependent microvascular metrics in hand, but they are present for several metrics in the foot. Significant differences are observed between hand and foot, both at baseline and maximum PORH, for most of the microvascular metrics with generally higher values in the hand. Despite a large variability over a range of individuals, as is expected based on heterogeneous ageing phenotypes of the population, the test–retest repeatability is 3.5% to 18% of the mean value for all metrics, which highlights the opportunities for OCTA-based studies in larger cohorts, for longitudinal monitoring, and for assessing the efficacy of interventions. Additionally, branchpoint density in the hand and foot and changes in vessel diameter in response to PORH stood out as good discriminators between healthy and T2DM groups, which indicates their potential value as biomarkers. This study, building on our previous work, represents a further step towards standardised OCTA in clinical practice and research.
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1 The University of Western Australia, Department of Electrical, Electronic and Computer Engineering, Perth, Australia (GRID:grid.1012.2) (ISNI:0000 0004 1936 7910); The University of Surrey, School of Biosciences and Medicine, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824)
2 Academy of Athens, Mathematics Research Centre, Athens, Greece (GRID:grid.417593.d) (ISNI:0000 0001 2358 8802)
3 The University of Surrey, School of Biosciences and Medicine, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824); The University of Surrey, School of Physics, Advanced Technology Institute, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824)
4 The University of Surrey, School of Biosciences and Medicine, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824)
5 University College London, Institute of Ophthalmology, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201); University College London, Department of Medical Physics and Biomedical Engineering, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201)
6 The University of Surrey, School of Biosciences and Medicine, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824); East Surrey Hospital, Surrey and Sussex Healthcare NHS Trust, Redhill, UK (GRID:grid.414355.2) (ISNI:0000 0004 0400 0067)
7 The University of Surrey, School of Biosciences and Medicine, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824); University College London, Institute of Ophthalmology, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201)