Morphological Pattern Classification System for Plantar Thermography of Patients with Diabetes

Mori, Taketoshi; Nagase, Takeshi; Takehara, Kimie; Oe, Makoto; Ohashi, Yumiko; Amemiya, Ayao; Noguchi, Hiroshi; Ueki, Kohjiro; Kadowaki, Takashi; Sanada, Hiromi

doi:10.1177/193229681300700502

Cited by 48 publications

(34 citation statements)

References 30 publications

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“…However, they concluded that this classification is too complicated to use in daily situations. Mory et al [11] proposed a new pattern classification by a computer-based system, but they concluded that the results found were similar to those obtained in the research made by Nagase [10]. In non linear classification tasks, artificial neural networks (ANN) have demonstrated to be a useful tool.…”

Section: Introductionsupporting

confidence: 72%

Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum

Hernandez-Contreras

Peregrina-Barreto

Rangel-Magdaleno

et al. 2015

Infrared Physics & Technology

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Section: Introductionsupporting

confidence: 72%

Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum

Hernandez-Contreras

Peregrina-Barreto

Rangel-Magdaleno

et al. 2015

Infrared Physics & Technology

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“…However, they think that this classification is too complicated to use in daily situations. Mory et al [8] based in the previous research proposed a new classification by a computer-based system, but they concluded that the results found were similar to those obtained in the previous research. In [9], it is reported a quantitative information about the temperature difference, their distribution and area inside of the four main regions (angiosomes) of the foot proposed by Attinger [10].…”

Section: Introductionsupporting

confidence: 72%

Evaluation of thermal patterns and distribution applied to the study of diabetic foot

Hernandez-Contreras

Peregrina-Barreto

Rangel-Magdaleno

et al. 2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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Early detection of symptoms related to ulceration risk in patients with diabetes mellitus can prevent future complications. In recent years thermography has been a response to this problem. Thermography is presented as a rapid, non-invasive and non-contact technique for detecting potential temperature patterns that may have complications in the future. This paper presents a preliminary classification method to detect temperature patterns which could be related with high-risk patients. This methodology is based on thermal image processing, beginning with the isolation of areas with higher temperature, followed by an analysis of these areas that allow its classification.

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“…Mori et al , presented in a cross‐sectional study more variable thermographic patterns of the foot in patients with diabetes compared to healthy controls . This was explained by the individual regularity of blood supply at the angiosome level (due to stenosis of arteries or A ‐ V shunt between angiosomes) .…”

Section: Resultsmentioning

confidence: 99%

“…30 Mori et al, presented in a cross-sectional study more variable thermographic patterns of the foot in patients with diabetes compared to healthy controls. 31 This was explained by the individual regularity of blood supply at the angiosome level (due to stenosis of arteries or A-V shunt between angiosomes). 31 Gatt et al found in two cross-sectional studies that the mean temperatures of the toes and forefoot were significantly higher in patients with foot complications (neuropathy, neuro-ischemia, peripheral arterial disease, and neuroischemic toe ulceration) compared to patients with no foot complications and healthy individuals.…”

Section: Dermal Thermographymentioning

confidence: 99%

Telehealth and telemedicine applications for the diabetic foot: A systematic review

Hazenberg

Stegge

Baal

et al. 2019

Diabetes Metabolism Res

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Summary The aim of this systematic review is to assess the peer‐reviewed literature on the psychometric properties, feasibility, effectiveness, costs, and current limitations of using telehealth and telemedicine approaches for prevention and management of diabetic foot disease. MEDLINE/PubMed was searched for peer‐reviewed studies on telehealth and telemedicine approaches for assessing, monitoring, preventing, or treating diabetic foot disease. Four modalities were formulated: dermal thermography, hyperspectral imaging, digital photographic imaging, and audio/video/online communication. Outcome measures were: validity, reliability, feasibility, effectiveness, and costs. Sixty‐one studies were eligible for analysis. Three randomized controlled trials showed that handheld infrared dermal thermography as home‐monitoring tool is effective in reducing ulcer recurrence risk, while one small trial showed no effect. Hyperspectral imaging has been tested in clinical settings to assess and monitor foot disease and conflicting results on its diagnostic use show that this method is still in an experimental stage. Digital photography is used to assess and monitor foot ulcers and pre‐ulcerative lesions and was found to be a valid, reliable, and feasible method for telehealth purposes. Audio/video/online communication is mainly used for foot ulcer monitoring. Two randomized controlled trials show similar healing efficacy compared with regular outpatient clinic visits, but no benefit in costs. In conclusion, several technologies with good psychometric properties are available that may be of benefit in helping to assess, monitor, prevent, or treat diabetic foot disease, but in most cases, feasibility, effectiveness, and cost savings still need to be demonstrated to become accepted and used modalities in diabetic foot care.

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Morphological Pattern Classification System for Plantar Thermography of Patients with Diabetes

Cited by 48 publications

References 30 publications

Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum

Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum

Evaluation of thermal patterns and distribution applied to the study of diabetic foot

Telehealth and telemedicine applications for the diabetic foot: A systematic review

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