Detection of cancer stages through fractal dimension analysis of tissue microarrays (TMA) via opt...

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Detection of cancer stages through fractal dimension analysis of tissue microarrays (TMA) via optical transmission microscopy by Mind Map: Detection of cancer stages through fractal dimension analysis of tissue microarrays (TMA) via optical transmission microscopy

1. Basics

1.1. Tissues have a self-similar character |→ tumors affect the fractal dimension of a tisssue |→ possible quantification

2. Hypothesis

2.1. "Can we quantify the stage of a cancer using self-similarity quantity analysis?"

3. Method

3.1. [ MATERIAL ] • TMA (tissu microarray) x4 slides |→ Pancreas, breast, colon, prostate

3.2. [ FRACTAL ] ln (N(r)) Df: fractal dimension = degre of similarity • Df = ———— with N(r): number of pattenrs at scale r ln (1/r) r: scale [Length] |→ If Df increases ⇒ Self-similarity increases

3.3. [ MICROSCOPE USE ] • Bright field image conerted to binary ⇒ Graph of Df plotted ⇒ Slope = self-similarity degree

4. Results

4.1. Pancreas results: Df(I) = Df(normal) +4% Df(II) = Df(normal) +6% Df(III) = Df(normal) +9% (Same increase shapes for breast, colon and prostate) ⇒ As expected, Df increases with tumor stage

5. Conclusion

5.1. → Not the only study on the subject → Can detect QUANTITATIVELY and also lead to a large international OBJECTIVE database ⇒ Refinement of the method ⇒ Study of the demographic evolution of cancers

6. What

6.1. • Tumor = abnormal proliferation of cells • Cancer = dangerous tumor (malignant) • Self-similarity measurement (fractal dimension) • Optical transmission microscopy

7. Problem

7.1. • Increase of deaths year after year • Increase of cancer cases /!\ Current detection methods are mostly QUALITATIVE therefore SUBJECTIVE

8. Who / When

8.1. • L. Elkington, P. Adhikari, P. Pradhan • December 2020

9. Where

9.1. Department of Physics and Astronomy, Mississippi State University, USA