Numerical modelling of biopotential field for detection of breast tumour

Comput Biol Med. 2007 Aug;37(8):1121-32. doi: 10.1016/j.compbiomed.2006.10.006. Epub 2006 Dec 4.

Abstract

Breast cancer is a disease characterised by the uncontrolled growth of abnormal cells. These cancer cells can travel through the body by way of blood or lymph nodes. Previous studies have indicated that, changes in the electrical properties of abnormal breast are more significant compared to the breast normal tissues. In the present study, a simple 2D models of breast (close to realistic), with and without artificially inserted malignant cancer were simulated, based upon electrical activity within the breast. We developed an inhomogeneous female breast model, closer to the actual, by considering a breast as a hemisphere with various layers of unequal thickness in supine condition. In order to determine the potential distribution developed due to a dipole source, isotropic homogeneous conductivity was assigned to each of these compartments and the volume conductor problem was solved using finite element method. Significant changes in the potential distribution were recoded in the malignant and normal breast regions. The surface potential decreases about 0.5%, for the small malignant region of surface area 13 mm(2) (spherical diameter=2mm). And it (surface potential) decreases about 16.4% for large malignant surface area of 615 mm(2) (spherical diameter=14 mm). Hence, the results show that, the sizes of tumours result in the reduction of surface potential and follows a fourth order polynomial equation. Thus, biofield analysis yields promising results in the detection of the breast cancer of various sizes.

MeSH terms

  • Adult
  • Aged
  • Biomedical Engineering
  • Breast / anatomy & histology
  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / physiopathology
  • Computer Simulation*
  • Diagnosis, Computer-Assisted*
  • Electrophysiology
  • Female
  • Finite Element Analysis
  • Humans
  • Middle Aged
  • Models, Anatomic
  • Singapore
  • Software