4.5 Article

Classification of chronic venous diseases based on skin temperature patterns

Journal

PHYSIOLOGICAL MEASUREMENT
Volume 42, Issue 4, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-6579/abf020

Keywords

infrared thermography; image processing; chronic venous diseases; venous leg ulcer

Funding

  1. Federal Ministry of Education and Research (BMBF, Germany) [16SV7582]

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This research utilizes infrared thermography to analyze temperature patterns in the lower legs of patients, identifying distinct local skin temperature increases in different forms of CVD. Infrared thermography may become a complementary tool for the early detection of CVD, aiding in the objective classification of the disease.
Objective. Infrared thermography has the potential to complement the classification of chronic venous diseases (CVD), but lacks sophisticated insights on the association between recorded skin temperatures and the severity of CVD. This research aims to identify temperature patterns in the lower legs of patients that are distinct in specific forms of CVD, including florid ulcers. Approach. Infrared images were acquired in a clinical trial with 36 patients and segmented using a region selection algorithm. The regions were analyzed with respect to seven predefined features. The most prominent thermal features were translated into rules to classify CVD. Main results. Patients with mild forms of CVD show local increases in skin temperature by more than 1.5 degrees C. These regions were 2.0 degrees C warmer when CVD is more severe. Temperature variations of on average 0.4 degrees C occurred within venous leg ulcers. Furthermore, these wounds were 1.1 degrees C-6.3 degrees C colder than periwound skin. Significance. Temperature patterns characterized by differences in temperature that occur within a few centimeters or millimeters are distinct to specific stages of CVD. These patterns are present in the locations of varicose veins and tissue damages. Significance. The findings increase the body of knowledge on the potential for the early detection of CVD using infrared thermography. Applying the presented algorithms and rules, infrared thermography may become a complementary tool for the objective classification of CVD.

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