  Transmission intensity of a thin tissue sample produce intensity distribution
that is proportional to the refractive index pattern in the thin slice, in turn
reflects mass density pattern, and using the intensity pattern, fractal
dimension can be calculated. In this paper, we report fractal dimension
analyses of MUC13 stained pancreatic cancer tissues. Pancreatic cancer is
deadliest due to its physical orientation, and no prominent chemical change
till the late stages of cancer. The presence of pancreatic cancer can be
detected using MUC13, however this fails to explain about the stages of cancer.
Here we studied MUC13 expressed cancer tissues and observe their cancer stages
by fractal dimension of light transmission intensity. Our results show that an
early stage of pancreatic cancer for MUC13 expressed tissue is accurately
distinguished by fractal dimension analysis. Further, their application to
cancer diagnostics is also discussed in detail.
