Influence analysis of thermophysical properties on temperature profiles on the breast skin surface

Abstract This work presents a simplified approach for the early detection of breast cancer using thermographic images, showing that several thermophysical properties of the bio-thermal problem does not need to be previously known to locate the geometric center of tumors. A 3D hemispheric breast model composed of different layers (muscle, gland, fat and skin) was constructed to evaluate the thermal behavior on the skin surface from numerical simulations using commercial software COMSOL. The effects of changes in depth, size, metabolism, blood perfusion and thermal conductivity of the tumor at surface temperatures were systematically analyzed to provide important information and guidelines for future medical diagnoses. Variations in blood perfusions and thermal conductivities of healthy tissue layers were also evaluated. It has been found that changing the size, metabolism, blood perfusion and thermal conductivity of a centralized tumor in the same coordinate does not modify the profiles of normalized temperature variations on the breast skin surface. Regarding the properties of healthy tissue, if a specific region of the breast surface is taken, there is the possibility that the normalized temperature profiles also do not depend on these properties. Thus, knowing that one of the main limitations in the estimation of tumors from thermographic images is related to the difficulty of previously knowing the thermophysical properties of human tissues, the results obtained in this study provide valuable simplifications for the early diagnosis of breast cancer using infrared thermography.

[1]  Kaiyang Li,et al.  A novel method of thermal tomography tumor diagnosis and its clinical practice , 2014 .

[2]  Koushik Das,et al.  Numerical analysis for determination of the presence of a tumor and estimation of its size and location in a tissue. , 2013, Journal of thermal biology.

[3]  Subhash C. Mishra,et al.  Non-invasive estimation of size and location of a tumor in a human breast using a curve fitting technique ☆ , 2014 .

[4]  Guido Kroemer,et al.  Tumor cell metabolism: cancer's Achilles' heel. , 2008, Cancer cell.

[5]  Aura Conci,et al.  Estimation of breast tumor thermal properties using infrared images , 2013, Signal Process..

[6]  Ramjee Repaka,et al.  Estimation of growth features and thermophysical properties of melanoma within 3-D human skin using genetic algorithm and simulated annealing , 2016 .

[7]  Gilmar Guimaraes,et al.  Experimental approach for breast cancer center estimation using infrared thermography , 2018, Infrared Physics & Technology.

[8]  A. Gavin,et al.  Cancer incidence and mortality patterns in Europe: Estimates for 40 countries and 25 major cancers in 2018. , 2018, European journal of cancer.

[9]  Wei Shi,et al.  Truncated-correlation photothermal coherence tomography derivative imaging modality for small animal in vivo early tumor detection. , 2019, Optics letters.

[10]  Subhash C. Mishra,et al.  Simultaneous estimation of size, radial and angular locations of a malignant tumor in a 3-D human breast - A numerical study. , 2015, Journal of thermal biology.

[11]  Satish G. Kandlikar,et al.  Infrared imaging technology for breast cancer detection – Current status, protocols and new directions , 2017 .

[12]  Lulu Wang,et al.  Early Diagnosis of Breast Cancer , 2017, Sensors.

[13]  H. H. Pennes Analysis of tissue and arterial blood temperatures in the resting human forearm. , 1948, Journal of applied physiology.

[14]  Aura Conci,et al.  Breast thermography from an image processing viewpoint: A survey , 2013, Signal Process..

[15]  E. Y.-K. Ng,et al.  A review of thermography as promising non-invasive detection modality for breast tumor , 2009 .

[16]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[17]  A. Jemal,et al.  Cancer statistics, 2018 , 2018, CA: a cancer journal for clinicians.

[18]  Gilmar Guimaraes,et al.  Breast tumor localization using skin surface temperatures from a 2D anatomic model without knowledge of the thermophysical properties , 2019, Comput. Methods Programs Biomed..

[19]  Rebecca L. Siegel Mph,et al.  Cancer statistics, 2018 , 2018 .

[20]  H. Coller Is cancer a metabolic disease? , 2014, The American journal of pathology.

[21]  Cila Herman,et al.  Optimization of skin cooling by computational modeling for early thermographic detection of breast cancer , 2018, International Journal of Heat and Mass Transfer.

[22]  Subhash C. Mishra,et al.  Estimation of tumor characteristics in a breast tissue with known skin surface temperature , 2013 .

[23]  A. Raihani,et al.  3D brain tumor localization and parameter estimation using thermographic approach on GPU. , 2018, Journal of thermal biology.

[24]  M Gautherie,et al.  THERMOPATHOLOGY OF BREAST CANCER: MEASUREMENT AND ANALYSIS OF IN VIVO TEMPERATURE AND BLOOD FLOW , 1980, Annals of the New York Academy of Sciences.

[25]  Cila Herman,et al.  Quantification of the thermal signature of a melanoma lesion , 2011 .

[26]  Ayda Saïdane,et al.  Thermal analysis of a three-dimensional breast model with embedded tumour using the transmission line matrix (TLM) method , 2011, Comput. Biol. Medicine.

[27]  Gilmar Guimaraes,et al.  Development of a new technique for breast tumor detection based on thermal impedance and a damage metric , 2019, Infrared Physics & Technology.

[28]  Mathias Bonmarin,et al.  Lock-in thermal imaging for the early-stage detection of cutaneous melanoma: A feasibility study , 2014, Comput. Biol. Medicine.

[29]  E. Ring,et al.  The technique of infrared imaging in medicine , 2015 .

[30]  J. V. Vargas,et al.  An infrared image based methodology for breast lesions screening , 2016 .

[31]  Farah A. Mohammadi,et al.  Tumor parameter estimation considering the body geometry by thermography , 2016, Comput. Biol. Medicine.

[32]  C. Herman,et al.  Analysis of skin cooling for quantitative dynamic infrared imaging of near-surface lesions. , 2014 .