Optical detection of fractal dimensions of MUC13 stained pancreatic tissues for cancer diagnostics

TL;DR

This study demonstrates that fractal dimension analysis of light transmission intensity in MUC13 stained pancreatic tissues can accurately distinguish early cancer stages, offering a potential diagnostic tool for pancreatic cancer.

Contribution

The paper introduces a novel optical method using fractal dimension analysis to identify early pancreatic cancer stages in MUC13 stained tissues.

Findings

Fractal dimension correlates with cancer stages.

Early cancer stages are distinguishable via optical fractal analysis.

Method shows promise for non-invasive diagnostics.

Abstract

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.