Effect of forced convection on the skin thermal expression of breast cancer.

A bioheat-transfer-based numerical model was utilized to study the energy balance in healthy and malignant breasts subjected to forced convection in a wind tunnel. Steady-state temperature distributions on the skin surface of the breasts were obtained by numerically solving the conjugate heat transfer problem. Parametric studies on the influences of the airflow on the skin thermal expression of tumors were performed. It was found that the presence of tumor may not be clearly shown due to the irregularities of the skin temperature distribution induced by the airflow field. Nevertheless, image subtraction techniques could be employed to eliminate the effects of the flow field and thermal noise and significantly improve the thermal signature of the tumor on the skin surface. Inclusion of the possible skin vascular response to cold stress caused by the airflow further enhances the signal, especially for deeply embedded tumors that otherwise may not be detectable.

[1]  B. Condon,et al.  MRI safety review. , 2002, Seminars in ultrasound, CT, and MR.

[2]  E.Y.K. Ng, N.M. Sudharsan Numerical uncertainty and perfusion induced instability in bioheat equation: its importance in thermographic interpretation , 2001, Journal of medical engineering & technology.

[3]  Richard Graham Knowles,et al.  Nitric oxide synthase activity in human breast cancer. , 1995, British Journal of Cancer.

[4]  C. O. Pedersen,et al.  On the Feasibility of Obtaining Three-Dimensional Information From Thermographic Measurements , 1977 .

[5]  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.

[6]  H. F. Bowman,et al.  Theory, measurement, and application of thermal properties of biomaterials. , 1975, Annual review of biophysics and bioengineering.

[7]  P. Aichroth,et al.  Infra-red in the diagnosis of a lump in the breast. , 1966, British Journal of Cancer.

[8]  S. Weinbaum,et al.  A new simplified bioheat equation for the effect of blood flow on local average tissue temperature. , 1985, Journal of biomechanical engineering.

[9]  B Chance,et al.  Near‐Infrared Images Using Continuous, Phase‐Modulated, and Pulsed Light with Quantitation of Blood and Blood Oxygenation a , 1998, Annals of the New York Academy of Sciences.

[10]  Lisa X. Xu NEW DEVELOPMENTS IN BIOHEAT AND MASS TRANSFER MODELING , 1999 .

[11]  Kenneth R. Holmes,et al.  MICROVASCULAR CONTRIBUTIONS IN TISSUE HEAT TRANSFER , 1980, Annals of the New York Academy of Sciences.

[12]  E Y Ng,et al.  Effect of blood flow, tumour and cold stress in a female breast: A novel time-accurate computer simulation , 2001, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[13]  J. Kaldor,et al.  The benefits and risks of mammographic screening for breast cancer. , 1992, Epidemiologic reviews.

[14]  W L Nyborg,et al.  Biological effects of ultrasound: development of safety guidelines. Part I: personal histories. , 2000, Ultrasound in medicine & biology.

[15]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[16]  W L Nyborg,et al.  Biological effects of ultrasound: development of safety guidelines. Part II: general review. , 2001, Ultrasound in medicine & biology.

[17]  M. Osman,et al.  Thermal modeling of the malignant woman's breast. , 1988, Journal of biomechanical engineering.

[18]  John A. Rowlands,et al.  Digital radiology using self-scanned readout of amorphous selenium , 1993, Medical Imaging.

[19]  R Gordon,et al.  Detection of early breast cancer: an overview and future prospects. , 1989, Critical reviews in biomedical engineering.