Blood flow characteristics of diabetic patients with complications detected by optical measurement

Yuri An, Yujung Kang, Jungsul Lee, Chulwoo Ahn, Kihwan Kwon, Chulhee Choi

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Background: Diabetes mellitus (DM) is one of the most common diseases worldwide. Uncontrolled and prolonged hyperglycemia can cause diabetic complications, which reduce the quality of life of patients. Diabetic complications are common in DM patients. Because it is impossible to completely recover from diabetic complications, it is important for early detection. In this study, we suggest a novel method of determining blood flow characteristics based on fluorescence image analysis with indocyanine green and report that diabetic complications have unique blood flow characteristics. Methods: We analyzed time-series fluorescence images obtained from controls, DM patients, and DM patients with complications. The images were segmented into the digits and the dorsum of the feet and hands, and each part has been considered as arterial and capillary flow. We compared the blood flow parameters in each region among the three groups. Results: The DM patients with complications showed similar blood flow parameters to the controls, except the area under the curve and the maximum intensity, which indicate the blood flow volume. These parameters were significantly decreased in DM patients with complications. Although some blood flow parameters in the feet of DM patients with complications were close to normal blood flow, the vascular response of the macrovessels and microvessels to stimulation of the hands was significantly reduced, which indicates less reactivity in DM patients with complications. Conclusions: Our results suggest that DM patients, and DM patients with complications, have unique peripheral blood flow characteristics.

Original languageEnglish
Article number25
JournalBioMedical Engineering Online
Volume17
Issue number1
DOIs
StatePublished - 21 Feb 2018

Keywords

  • Blood flow characteristic
  • Diabetes mellitus
  • Diabetic complications
  • Indocyanine green
  • Medical imaging

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