Assessment of microcirculation in the diabetic foot with laser speckle contrast imaging

摘要

Objective: A major challenge for treating diabetic foot ulcers is estimating the severity of ischemia, as the currently used non-invasive diagnostic techniques provide relatively poor prognostic values. Laser speckle contrast imaging (LSCI) is a promising non-invasive technique to assess microcirculation. Our aim was to investigate the stability and reproducibility of LSCI for the assessment of microcirculation in the diabetic foot, the relation of LSCI results to currently used non-invasive blood pressure measurements, and the ability of LSCI to discriminate between the degrees of ischemia. Approach: Thirty-three participants with diabetic foot ulcers were included in this prospective, single centre, observational cohort study that was conducted in the Netherlands. They were classified as non-ischemic, ischemic or critical-ischemic based on criteria formulated in the international guidelines. Two clinicians performed LSCI scans of the foot, consisting of baseline measurements, followed by two stress tests (post-occlusion peak and elevation test). With three measurement conditions and five regions of interest of the foot per patient, a total of 15 measurements were available for analyses. Main results: The intra-observer agreement of LSCI was high (interclass correlation coefficient (ICC) = 0.711–0.950; p < 0.001) for all 15 measurements. The inter-observer agreement was high (ICC = 0.728–0.861; p ? 0.001) for 10 measurements and moderate (ICC = 0.476–0.570; p ? 0.005) for the remaining five measurements. The interassessor agreement was high and significant (ICC = 0.857–0.996; p ? 0.001) for all measurements. Correlation between LSCI and non-invasive blood pressure measurements was low (ICC = ?0.272– 0.582). During both stress tests, microcirculation was significantly lower in critical-ischemic feet compared to non-ischemic feet (67.5 perfusion units (PU) versus 96.3 PU and 41.0 PU versus 63.9 PU; p < 0.05). Significance: LSCI is a stable and reproducible techn