Clinical applications of internal heat source analysis for breast cancer identification

Han, Fei; Liang, Chengwen; Shi, Guilian; Wang, Long; Li, K Y

doi:10.4238/2015.february.13.24

Cited by 8 publications

(4 citation statements)

References 37 publications

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“…Some tools, such as mammography, ultrasound and MRI, are important resources that allow for morphological evaluation in different breast diseases. Breast thermography is a functional examination proposed as an aid for investigation of new drugs, ( 27 ) chemotherapeutic agents, ( 28 ) progression monitoring of inflammatory diseases and screening of abnormalities, ( 29 ) and could be used in conjunction with clinical and anatomical examinations. Thermography can be used for physiological analysis to detect physiological changes, as well as thermal and vascular abnormalities.…”

Section: Discussionmentioning

confidence: 99%

“…Ferramentas como mamografia, ultrassonografia e ressonância magnética, são importantes recursos para avaliação das diversas enfermidades da mama, pois permitem avaliação morfológica. A termografia de mamas é um método de análise funcional, que tem sido proposto como auxiliar no estudo de novas medicações, ( 27 ) quimioterápicos, ( 28 ) acompanhamento evolutivo de doenças inflamatórias, e apoio a triagem de anormalidades, ( 29 ) e poderia ser utilizada em conjunto com a avaliação clínica e exames anatômicos. Alterações fisiológicas, anomalias térmicas e vasculares são detectadas por meio da termografia, comprovadamente um método de análise fisiológica.…”

Section: Discussionunclassified

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Reference breast temperature: proposal of an equation

Souza

Brioschi

Vargas

et al. 2015

Einstein (São Paulo)

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Objective To develop an equation to estimate the breast reference temperature according to the variation of room and core body temperatures.Methods Four asymptomatic women were evaluated for three consecutive menstrual cycles. Using thermography, the temperature of breasts and eyes was measured as indirect reference of core body and room temperatures. To analyze the thermal behavior of the breasts during the cycle, the core body and room temperatures were normalized by means of a mathematical equation.Results We performed 180 observations and the core temperature had the highest correlation with the breast temperature, followed by room temperature. The proposed prediction model could explain 45.3% of the breast temperature variation, with variable room temperature variable; it can be accepted as a way to estimate the reference breast temperature at different room temperatures.Conclusion The average breast temperature in healthy women had a direct relation with the core and room temperature and can be estimated mathematically. It is suggested that an equation could be used in clinical practice to estimate the normal breast reference temperature in young women, regardless of the day of the cycle, therefore assisting in evaluation of anatomical studies.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionunclassified

Reference breast temperature: proposal of an equation

Souza

Brioschi

Vargas

et al. 2015

Einstein (São Paulo)

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“…An increase in temperature of the breast is indicative of breast tissue abnormalities. In normal breast tissue, heat conductivity is represented by an increase in temperature of the skin, whereas in breast cancer, lesions under the surface of skin produce more heat and subsequently increase blood flow [12].…”

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confidence: 99%

Screening through Temperature and Thermal Pattern Analysis in DMBA - Induced Breast Cancer in Wistar Rats

et al. 2021

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Background: Based on thermal temperatures around the breast, thermography is considered a promising approache providing information about the condition of the breast without any side effects.Objective: Using thermography, breast screening is highly dependent on the process of heat recognition. The angular effects in the process of thermal patterns recognition can increase false detection. The effect can be observed in breasts with growing mammary glands. This study aims to develop a system to identify breast conditions through analysis of temperature and thermal patterns. Material and Methods:In this experimental study, analysis of thermal patterns are performed using the Canny method, specifically detection of anomalies in the breast. Twenty-four Wistar female rats were used as experimental animal models with group 1 (normal), group 2 (induced with DMBA), group 3 (rats with growing mammary gland). At the end of 8 weeks, all rats were sacrificed and histopathology analysis was performed. The body temperature was measured every week using the Infrared Camera type TiS20 brand Fluke camera.Results: Histopathology indicated average temperature of 36.66 °C, 37.77 °C and above 38.87 °C in normal, growing mammary glands, and cancerous breasts, respectively. These results revealed significantly higher heat in breasts with cancerous lesions. In the analysis of thermal pattern recognition for breast, no curve was formed in the normal group, while cancerous and growing mammary glands demonstrated a perfectly closed curve and an imperfect curve pattern, respectively. Conclusion:Breast screening through the analysis of temperature and thermal patterns can distinguish normal, cancerous and breast with growing mammary glands.

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“…One type of medical imaging methods is breast thermography, which uses infrared cameras to detect patterns in breast surface temperature. Higher temperature than the surrounding area is a typical characteristic of a malignant lesion [1]. Ac-cording to comparing the effectiveness of the mammography, ultrasonography, and infrared thermography in screening and early diagnosis of breast cancer, there is no difference between the accuracy of mammography and ultrasonography (96.1% versus 95.8%) while the accuracy of infrared thermography is 97.1.…”

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confidence: 99%

Optimizing Infrared Camera Resolution for Small Object Detection using Subpixel Rendering and PIFS in Multiresolution Image Analysis

Poerbaningtyas

Dradjat

Endharti

et al. 2020

jbpe

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Background: Breast cancer screening techniques have been developing rapidly in the field of imaging systems. One of these techniques is thermography, which is an alternative modality for mammography to detect breast lesions. Thermography utilization has been progressively developing as various models and methods of object processing improvement. Currently, the Fluke TIS20 infrared camera, with a resolution of 320 × 240, has not been used to measure precisely small objects such as early breast cancer lesions. Retrieval and processing of single images lead into imprecise object measurements and false positive results.Objective: Problems have been arisen due to the limitations of the camera resolution, object retrieval techniques and suboptimal image processing. The aim of this study was to detect accurately breast cancer lesions in rats, which were induced by carcinogenic compounds. Material and Methods:In this experimental study, development of models was conducted based on increasing image by optimizing the ability of low-resolution infrared (IR) cameras to identify s mall objects precisely. Image pixel density increased by adjusting the distance of the objects from the camera and multiple images of objects gradually shifting were used to measure object dimensions precisely. Results:The results showed that cancerous lesions as small as 1.27 mm could be detected. This method of lesion detection had a sensitivity and specificity of 93% and 77 % respectively. Conclusion:Small objects (cancerous lesions) were measured by increasing image resolution through splitting pixels into subpixels and combining several images using Partitioned Iterated Function Systems (PIFS).

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Clinical applications of internal heat source analysis for breast cancer identification

Cited by 8 publications

References 37 publications

Reference breast temperature: proposal of an equation

Reference breast temperature: proposal of an equation

Screening through Temperature and Thermal Pattern Analysis in DMBA - Induced Breast Cancer in Wistar Rats

Optimizing Infrared Camera Resolution for Small Object Detection using Subpixel Rendering and PIFS in Multiresolution Image Analysis

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