A new evaluation of heat distribution on facial skin surface by infrared thermography

To investigate the clinical effects of EH0202, a Japanese herbal supplement, on the menopausal symptoms and physical status of peri- and post-menopausal women. Thirty-two post-menopausal women (53.0±5.1 years) presented with menopausal complaints were enrolled in the clinical study. Patients were administered an herbal supplement, EH0202 (6 g/day for 6 months), and were assessed for improvement of their overall symptoms using the Greene Climacteric Scale and the Visual Analog Scale (VAS). Blood pressure, skin surface blood flow and plasma lipid profiles were measured before and 1, 3 and 6 months after EH0202 administration. There was a significant decrease in the climacteric scale score (P<0.001) and VAS (P<0.0001) after 6 months of EH0202 treatment. There was a significant decrease in systolic (P<0.001) and diastolic (P<0.05) blood pressure, and a significant decrease in facial skin surface blood flow (P<0.05) after 3 months of EH0202 administration. We observed a significant decrease in plasma TG and LDL-cholesterol concentrations after 3 months of EH0202 administration (P<0.05). EH0202 (MACH) reduced blood pressure, excess facial skin blood flow (flushing) and abnormal lipid levels, as well as clinically improved menopausal symptoms in post-menopausal women. In post-menopausal women, this product appears to help maintain normal biological function and improves quality of life.

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Morphological Characteristics of Residual Skin Surface Components Collected from the Surface of Facial Skin in Women of Different Age

Annals of Dermatology ◽

10.5021/ad.2017.29.4.454 ◽

2017 ◽

Vol 29 (4) ◽

pp. 454 ◽

Cited By ~ 3

Author(s):

Natalya E. Chalyk ◽

Tatiana Y. Bandaletova ◽

Nigel H. Kyle ◽

Ivan M. Petyaev

Keyword(s):

Morphological Characteristics ◽

Skin Surface ◽

Facial Skin

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Udder skin surface temperature variation pre- and post- milking in dairy cows as determined by infrared thermography

Journal of Dairy Research ◽

10.1017/s0022029918000213 ◽

2018 ◽

Vol 85 (2) ◽

pp. 201-203 ◽

Cited By ~ 1

Author(s):

Chunhe Yang ◽

Gan Li ◽

Xiaojun Zhang ◽

Xianhong Gu

Keyword(s):

Surface Temperature ◽

Dairy Cows ◽

Infrared Thermography ◽

Sensitivity And Specificity ◽

Milk Yield ◽

Skin Surface ◽

Optimal Time ◽

Skin Surface Temperature ◽

Infrared Images ◽

Significant Difference

The objectives of the research reported in this Research Communication were to compare the variation of hind quarter skin surface temperature pre- and post- milking in dairy cows and to determine the optimal time to capture images by infrared thermography for improving the sensitivity and specificity of mastitis detection in dairy cows. Hind quarter infrared images of 102 Holstein dairy cows were captured from the caudal view by an infrared camera pre-milking and post-milking. The udder skin surface temperature was measured with the help of the image processing software. No significant difference was found between the left and right quarter skin surface temperature pre- and post- milking. The hind quarter skin surface temperature pre-milking was not significantly influenced by milk yield, but exhibited a rising trend along with the increase of milk yield. The hind quarter skin surface temperature post-milking was significantly influenced by milk yield. This leads us to conclude that the sensitivity and specificity of IRT in mastitis detection may be influenced by milk yield and it may be better to capture the infrared images of cow udders pre-milking.

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On the possibility of using temperature to aid in thyroid nodule investigation

Scientific Reports ◽

10.1038/s41598-020-78047-1 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

C. P. Damião ◽

J. R. G. Montero ◽

M. B. H. Moran ◽

R. A. da Cruz Filho ◽

C. A. P. Fontes ◽

...

Keyword(s):

Thyroid Nodule ◽

Infrared Thermography ◽

Thyroid Nodules ◽

Subcutaneous Fat ◽

Skin Surface ◽

Malignant Tumours ◽

Training Process ◽

Artificial Intelligence Technique ◽

Additional Information ◽

Fat Thickness

AbstractThyroid nodules are common, and their investigation is very important to exclude the possibility of cancer. The increase in blood vessels of malignant tumours may be related to local temperature augmentation detectable on the skin surface. The objective of this paper is to evaluate the feasibility of Infrared Thermography for cancer identification. For this purpose, two studies were performed. One used numerical modelling to simulate regional metabolic temperature propagation to evaluate whether a nodule is perceptible on the skin surface. A second study considered thyroid nodule identification by using convolutional neural networks (CNNs). First, variations in nodular size and fat thickness were investigated, showing that the fat layer has an important role in regional heat transfer. In the second study, the training process achieved accuracy of 96% for in-sample and 95% for validation. In the testing phase, 92% accuracy, 100% precision and 80% recall were achieved. Thus, the presented studies suggest the feasibility of using Infrared Thermography with the CNN Artificial Intelligence technique as additional information in the investigation of thyroid nodules for patients without a very thick subcutaneous fat layer.

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