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Incoherent Optical Fluctuation Flowmetry: A New Method for the Assessment of Foot Perfusion in Patients with Diabetes-Related Lower-Extremity Complications.

Polina A GlazkovaAlexey GlazkovDmitry KulikovSergei ZagarovYulia KovalevaAlina Yu BabenkoYulia KononovaElena KitaevaTimur BritvinNatalia MazurRoman LarkovDmitry Rogatkin
Published in: Diagnostics (Basel, Switzerland) (2022)
(1) Background: To date, there are no studies evaluating the ability of the incoherent optical fluctuation flowmetry (IOFF) method to assess foot tissue perfusion. The aim of this study was to evaluate the correlation between perfusion values measured by IOFF and TcPO2 in patients with diabetes-related lower-extremity complications. (2) Methods: This was an observational, cross-sectional, two-center study. Diabetic patients with peripheral artery disease and/or diabetic foot ulcers were studied (n = 27, examinations were carried out on 54 legs). Perfusion in the foot tissues was assessed using TcPO2 (reference standard for this study) and the IOFF method. (3) Results: High correlation coefficients of all perfusion parameters measured by IOFF with TcPO2 (Rs 0.7 to 0.76) were shown. The study demonstrated that the IOFF method allows, with a sensitivity of 85.7% and a specificity of 90.0%, the identification of patients with a critical decrease in TcPO2 < 20 mmHg. (4) Conclusions: The high correlation of IOFF parameters with TcPO2 and the moderately high sensitivity and specificity in detecting patients with severe ischemia of foot tissues shows the promise of the method for assessing a tissue perfusion in patients with diabetes-related lower-extremity complications.
Keyphrases
  • contrast enhanced
  • cross sectional
  • type diabetes
  • risk factors
  • high resolution
  • gene expression
  • machine learning
  • diffusion weighted
  • peripheral artery disease
  • artificial intelligence
  • big data