Infrared thermography in diabetes mellitus a preliminary study

Brånemark, Per‐Ingvar; Fagerberg, Sven‐Erik; Langer, L; Säve-Söderbergh, J

doi:10.1007/bf01213572

Cited by 27 publications

(13 citation statements)

References 5 publications

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“…Previous works reported that hot spots occur mainly upon the metatarsal heads, great toe and heel, all of them areas of high foot pressure [8, 11]. Hot spots frequently lead in a high risk of ulceration thus their early detection is important.…”

Section: Methodsmentioning

confidence: 99%

“…According to several investigations, the presence of hot regions in the plantar area may indicate tissue damage, inflammation, and arteriovenous shunting, which could compromise the nutritive capillary flow and increase the predisposition to cutaneous ulceration [8–10]. For instance, Brånemark et al [11] found that diabetic patients present abnormal temperature patterns in feet and hands associated to common ulceration regions in a study made by using IR. Recently, Bharara et al [12] proposed an analysis based on the thermal profile of a foot wound in order to provide a healing wound index for diabetic subjects.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Estimation of Temperature Variations in Plantar Angiosomes: A Study Case for Diabetic Foot

Peregrina-Barreto

Morales-Hernandez

Rangel-Magdaleno

et al. 2014

Computational and Mathematical Methods in Medicine

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Thermography is a useful tool since it provides information that may help in the diagnostic of several diseases in a noninvasive and fast way. Particularly, thermography has been applied in the study of the diabetic foot. However, most of these studies report only qualitative information making it difficult to measure significant parameters such as temperature variations. These variations are important in the analysis of the diabetic foot since they could bring knowledge, for instance, regarding ulceration risks. The early detection of ulceration risks is considered an important research topic in the medicine field, as its objective is to avoid major complications that might lead to a limb amputation. The absence of symptoms in the early phase of the ulceration is conceived as the main disadvantage to provide an opportune diagnostic in subjects with neuropathy. Since the relation between temperature and ulceration risks is well established in the literature, a methodology that obtains quantitative temperature differences in the plantar area of the diabetic foot to detect ulceration risks is proposed in this work. Such methodology is based on the angiosome concept and image processing.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Estimation of Temperature Variations in Plantar Angiosomes: A Study Case for Diabetic Foot

Peregrina-Barreto

Morales-Hernandez

Rangel-Magdaleno

et al. 2014

Computational and Mathematical Methods in Medicine

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“…10 In addition, IRT has been used to study young diabetes subjects with or without vascular complications. 11 The purpose of the present study was to examine the correlation between foot temperature and neuropathy in subjects with type 2 diabetes.…”

Section: Introductionmentioning

confidence: 99%

Correlation between Plantar Foot Temperature and Diabetic Neuropathy: A Case Study by Using an Infrared Thermal Imaging Technique

Bagavathiappan

Philip

Jayakumar

et al. 2010

J Diabetes Sci Technol

163

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“…And keep the air flow stable, because air convection heating will directly affect the surface temperature [2] .…”

Section: Table 1 Distribution Of Age and Healthmentioning

confidence: 99%

The research on evaluation of diabetes metabolic function based on Support Vector Machine

Huang

Jiang

Chen

et al. 2010

2010 3rd International Conference on Biomedical Engineering and Informatics

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For metabolic diseases, functional changes are often earlier than structural lesions, for example, diabetes. The paper aims to provide a survey using Support Vector Machine (SVM) to predict and assess metabolic functions of diabetes based on bio-heat transfer theory and infrared thermal imaging technology. Two metabolic characteristic values, metabolic function parameter and blood perfusion rate, are extracted from thermography data of cold water stimulation experiment as inputs of SVM to set up models by different kernel functions. For more than 2000 clinical data used in the paper, the prediction accuracy averaged 90%. The research provides a new attempt to evaluate diabetes metabolic function, hoping for contribution to early detection of diabetes.

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Infrared thermography in diabetes mellitus a preliminary study

Cited by 27 publications

References 5 publications

Quantitative Estimation of Temperature Variations in Plantar Angiosomes: A Study Case for Diabetic Foot

Quantitative Estimation of Temperature Variations in Plantar Angiosomes: A Study Case for Diabetic Foot

Correlation between Plantar Foot Temperature and Diabetic Neuropathy: A Case Study by Using an Infrared Thermal Imaging Technique

The research on evaluation of diabetes metabolic function based on Support Vector Machine

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