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And its possible applications in the diagnosis of cancer Researched by: Mrs. Himani Asija PGT Mathematics (Delhi Public School Vasant Kunj New Delhi)

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Mathematical modeling. And its possible applications in the diagnosis of cancer. Researched by: Mrs. Himani Asija PGT Mathematics (Delhi Public School Vasant Kunj New Delhi). The Problem. We have the solution to cancer but is it the cure? - PowerPoint PPT Presentation

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Page 1: Mathematical modeling

And its possible applications in the diagnosis of cancer

Researched by:Mrs. Himani AsijaPGT Mathematics

(Delhi Public School Vasant KunjNew Delhi)

Page 2: Mathematical modeling

We have the solution to cancer but is it the cure?

Patient specific titration of the dosage of cancer related drugs is at best a vague field.

Behavior of cancerous cells is seemingly random and unpredictable. It is little understood and therefore, at present inadequately treated.

The Problem

Page 3: Mathematical modeling

The SolutionTo try and understand how the cogs of a tumor turn; to try and predict how it’ll react to change in it’s environment (the body of the patient).

This allows us to maximize tumor damage and minimize patient damage.

Page 4: Mathematical modeling

WHERE AND HOW IT STARTED….A holiday homework assignment given to

children where they had to draw fractals figures of Koch snowflake, Sierpinski’s carpet and Sierpinski’s triangle and find their areas and perimeters at different stages

Generalise the above to the nth stageKoch snowflakeLINK : koch snowlfake.gspSerspenki’s carpetLINK : serspenki.gsp

Page 5: Mathematical modeling

ABOUT THE PROJECT…THOSE WHO SAY THAT MATH HOMEWORKS ARE

BORING AND FAR FROM REAL WORLD

BEWARE!!!

This project is an endeavor not only to talk, discuss, and research about cancer cells, but also correlate the biology of the cells with the mathematics in it.

The project is based on two hypotheses. In the first hypotheses, a dynamic software called the geometer’s sketchpad has been used and for the second hypothesis, MS EXCEL and a freeware Graphmatica has been used.

Page 6: Mathematical modeling

OBSERVATION -1

ITERATION

PERIMETER

AREA ENCLOSED

0 3x (√3/4)x²

1 3(4x)/3=4x (√3/4)x²+ 3(√3/4)(x/3) ²= (√3/4)x² (1+3/3²)

2 16x/3 (√3/4)x²+ 3(√3/4)(x/3) ²+ 12(√3/4)(x/9) ²= (√3/4)x² (1+3/3²+12/9²)

3 64x/9 (√3/4)x²+ 3(√3/4)(x/3) ²+ 12(√3/4)(x/9) ² +48(√3/4)(x/27) ² = (√3/4)x² (1+3/3²+12/9²+48/27²)

4 192x/27 (√3/4)x²+ 3(√3/4)(x/3) ²+ 12(√3/4)(x/9) ² +48(√3/4)(x/27) ² +192(√3/4)(x/81) ² = (√3/4)x² (1+3/3²+12/9²+48/27² +192/81²)

Make a Koch snowflake with an equilateral triangle of side x cm. We obtain the following table LINK : KOCH SNOWFLAKE

Page 7: Mathematical modeling

PERIMETERThe perimeters form a geometric progression with common ratio 4/3, which is greater than one3x, 4x, 16x/3, 48x/9, 192x/27, …………So, the nth term Tn = 3x(4/3)n-1 which increases infinitely as n increases infinitely.

Conclusion: The perimeter of the polygon approaches infinity as n approaches infinity

AREA ENCLOSEDThe area enclosed by the polygon forms a geometric progression with common ratio 4/9, which is less than one (√3/4)x² (1+3/3²+12/9²+48/27² +192/81²+……….)= (√3/4)x² (1+ ) = (√3/4)x² ( 8/5) = (√3/5)2x²

= 8/5 times the area of the original triangle

Conclusion: The area enclosed by the polygon is finite even when n approaches infinity

THE RATIO OF THE PERMETER SQUARED AND AREA INCREASES INFINITELY AS THE NO. OF SIDES OF THE POLYGON INCREASES INFINITELY

NOTE The perimeter has been squared to produce a dimensionless quantity in the ratio

Page 8: Mathematical modeling

OBSERVATION 2 THE RATIO OF PERIMETER SQUARED AND

AREA IS MAXIMUM WHEN THE NO. OF SIDES OF A FIGURE IS MINIMUM; IT BEING MAXIMUM FOR A TRIANGULAR FIGURE AND MINIMUM FOR A CIRCLE ( THE NO. OF SIDES OF A CIRCLE IS INFINITE)

Page 9: Mathematical modeling

TO BEGIN WITH THE CANCER CELLS…HYPOTHESIS – 1Cancer cells follow the fractal figure, the Koch Snowflake.

The ratio of the square of the perimeter and the area of a normal cell is the least and that of the cell at the advanced stage is the maximum; it increases with the increase in the stage of malignancy.

Page 10: Mathematical modeling

Normal (non cancerous) human cellPerimeter Perimeter2 Area Perimeter2

Area

22.84 521.56 35.19 14.82

Page 11: Mathematical modeling

Gsp snapshot..

P1

Perimeter P1 2

Area P1 = 14.82

Area P1 = 35.19 cm2

Perimeter P1 = 22.84 cm

Page 12: Mathematical modeling

Cancer cell in preliminary stagePerimeter Perimeter2 Area Perimeter2

Area

28.80 829.28 34.64 23.94

Page 13: Mathematical modeling

Gsp snapshot….

P1

perimeter2

area = 23.94

perimeter = 28.80 cm

area = 34.64 cm2

B

T

S

R Q

P

O

N

M

L

K

J

I

HG

F

E

D

C

A

Page 14: Mathematical modeling

Cancer cell in intermediate stagePerimeter Perimeter2 Area Perimeter2

Area

82.23 6761.31 56.65 119.36

Page 15: Mathematical modeling

Gsp snapshot..

P2

Perimeter P2 2

Area P2 = 119.36

Perimeter P2 = 82.23 cm

Area P2 = 56.65 cm2

Page 16: Mathematical modeling

Cancer cell in advanced stageS.No

Perimeter Perimeter2 Area Perimeter2

Area

1 335.22 112375.34 60.48 1858.05

2 315.36 99451.84 54.95 1809.84

3 396.60 157289.45 100.95 1558.10

1.

2.

3 .

Page 17: Mathematical modeling

Gsp snapshot…P1

Perimeter P1 2

Area P1 = 1858.05

Perimeter P1 = 335.22 cm

Area P1 = 60.48 cm2

Page 18: Mathematical modeling

Gsp snapshot …

P1

Perimeter P1 2

Area P1 = 1809.84Perimeter P1 = 315.36 cm

Area P1 = 54.95 cm2

Page 19: Mathematical modeling

Gsp snapshot

P1

Perimeter P1 2

Area P1 = 1558.10

Area P1 = 100.95 cm2

Perimeter P1 = 396.60 cm

Page 20: Mathematical modeling

Hypothesis 2FRACTAL DIMENSIONS BY BOX COUNTING METHOD:

•Fractal dimension by box method is calculated as the slope of the line of best fit obtained by plotting the points ( Ln(S), Ln (Ne )) where S is the dimension of the square grid required to cover the picture and Ne is the no. of boxes of the grid required to cover the picture. Ln is the natural log of the respective values

HIGHER THE STAGE OF MALIGNANCY, LESS IS THE FRACTAL DIMENSION

OUR HYPOTHESIS IS:

THE FRACTAL DIMENSION OF THE NORMAL CELL IS MAXIMUM AND IT REDUCES AS THE STAGE ADVANCES SO

Page 21: Mathematical modeling

Normal Cell (non cancerous)

1 1 1 1 1 1 6 1/s=11

1 1 1 1 1 1 1 1 1 9 covered= 78

1 1 1 1 1 1 1 1 1 9 4.356708827

1 1 1 1 1 1 1 1 1 1 10 2.397895273

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 8

1 1 1 1 1 5

1 1

78LINK: EXCEL SHEET SCALES

Page 22: Mathematical modeling

OBTAINING THE LINE OF BEST FIT AND ITS SLOPE BY PLOTING THE POINTS ON THE X-Y AXIS

Ln(1/s)

Ln(Ne )

Ln (7) = 1.95

Ln(37) = 3.6

Ln(11) = 2.4

Ln(78) = 4.36

Ln(16) = 2.77

Ln(187) = 5.23

Ln(21) = 3.04

Ln(314) = 5.78

FRACTAL DIMENSION = 2.03 LINK: GRAPHMATICA FILE

Page 23: Mathematical modeling

Cancer cell in preliminary stage

1 1 1 1 1 1 1 1 1 91 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 1 141 1 1 1 1 1 1 1 1 1 1 1 1 1 1 15

1 1 1 1 1 1 1 1 1 1 1 1 1 1 141 1 1 1 1 1 1 1 1 1 1 1 1 1 141 1 1 1 1 1 1 1 1 1 1 1 1 1 141 1 1 1 1 1 1 1 1 1 1 1 1 1 14

1 1 1 1 1 1 1 1 1 1 1 1 12 1/S = 291 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 8 COVERED = 3151 1 1 1 1 51 1 1 1 1 5 5.752572639

1 1 1 1 1 1 61 1 1 1 1 1 6

1 1 1 1 1 1 1 1 8 3.367295831 1 1 1 1 1 1 1 1 1 101 1 1 1 1 1 1 1 1 1 1 11

1 1 1 1 1 1 1 1 1 1 1 1 121 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 111 1 1 1 1 1 1 1 1 9

1 1 1 1 1 1 1 1 8

315

LINK ; EXCEL SHEET SCALES

Page 24: Mathematical modeling

OBTAINING THE LINE OF BEST FIT AND ITS SLOPE BY PLOTING THE POINTS ON THE X-Y AXIS

Ln(1/s)

Ln(Ne )

Ln (9) = 2.2

Ln(38) = 3.64

Ln(14) = 2.64

Ln(76) = 4.36

Ln(22) = 3.09

Ln(185) = 5.22

Ln(29) = 3.37

Ln(31) = 5.75

FRACTAL DIMENSION = 1.82 LINK: GRAPHMATICA FILE

Page 25: Mathematical modeling

Cancer cell in intermediate stage1 1

1 1 1 31 1 1 1 41 1 1 1 1 1 6

1 1 1 1 1 1 61 1 1 1 1 1 1 1 1 1 101 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 111 1 1 1 1 1 1 1 1 1 1 1 121 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 20

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 161 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 161 1 1 1 1 1 1 1 1 1 1 1 1 1 1 151 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 13

1 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 1 1 1 1 1 1 14

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 161 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 171 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 17

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 18 3.8286413961 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 19 6.381816017

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 211 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 23

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 241 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 26

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 281 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 271 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 211 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 161 1 1 1 1 1 1 1 1 1 1 1 121 1 1 1 1 1 1 1 1 1 101 1 1 1 1 1 1 1 1 91 1 1 1 1 1 1 1 1 9

1 1 1 1 1 1 1 1 81 1 1 1 1 1 1 1 8

1 1 1 1 1 1 1 1 81 1 1 1 1 1 1 1 1 91 1 1 1 1 1 1 1 1 91 1 1 1 1 1 61 1 1 1 1 5

1 1 1 1 1 1 1 71 1 1 1 1 5

1 1 1 3

591

LINK :EXCEL SHEET SCALES

Page 26: Mathematical modeling

OBTAINING THE LINE OF BEST FIT AND ITS SLOPE BY PLOTING THE POINTS ON THE X-Y AXIS

FRACTAL DIMENSION = 1.73

Ln(1/s)

Ln(Ne )

Ln (14) = 2.64

Ln(76) = 4.33

Ln(22) = 3.09

Ln(157) = 5.06

Ln(35) = 3.56

Ln(359) = 5.88

Ln(46) = 3.83

Ln(591) = 6.38

LINK: GRAPHMATICA FILE

Page 27: Mathematical modeling

Cancer cell in advanced stage -1

1 11 1 1 1 1 1 1 1 1 1 1 11

1 1 1 1 1 1 1 1 1 1 1 1 1 1 141 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 17

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 201 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 251 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 28

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 321 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 35

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 421 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 44

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 461 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 44

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 421 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 54

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 49 1/S = 751 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 43

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 58 COVERED = 14131 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 61

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 59 7.2534703831 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 52

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 50 4.3174881141 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 48

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 621 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 43

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 451 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 44

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 441 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 42

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 381 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 30

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 271 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 27

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 261 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 22

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 241 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 17

1 1 1 1 1 1 1 1 1 1 1 1 1 131 1 1 1 1 1 1 1 8

1 1 21413

LINK: EXCEL SHEET SCALE

Page 28: Mathematical modeling

OBTAINING THE LINE OF BEST FIT AND ITS SLOPE BY PLOTING THE POINTS ON THE X-Y AXIS

Ln(1/s)

Ln(Ne )

Ln (23) = 3.13

Ln(192) = 5.26

Ln(35) = 3.56

Ln(381) = 5.94

Ln(56) = 4.03

Ln(876) = 6.78

Ln(75) = 4.32

Ln(1413) = 7.25

FRACTAL DIMENSION = 1.7 LINK : GRAPHMATICA FILE

Page 29: Mathematical modeling

Cancer cell in advanced stage-21 1 21 1 1 1 1 1 1 1 8

1 1 1 1 1 1 1 71 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 191 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 241 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 27

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 27 1/s=341 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 30

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 27 6.3647507571 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 30

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 26 3.5263605251 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 321 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 26

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 301 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 25

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 191 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 22

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 251 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 221 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 21

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 211 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 221 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 18

1 1 1 1 1 1 1 1 1 91 1 1 1 1 1 1 1 1 91 1 1 1 1 1 1 1 8

1 1 1 1 1 1 1 71 1 2

581

Page 30: Mathematical modeling

OBTAINING THE LINE OF BEST FIT AND ITS SLOPE BY PLOTING THE POINTS ON THE X-Y AXIS

Ln(1/s)

Ln(Ne )

Ln (23) = 2.64

Ln(192) = 4.84

Ln(35) = 3.04

Ln(381) = 5.58

Ln(56) = 3.53

Ln(876) = 6.36

Ln(75) = 3.81

Ln(1413) = 6.8FRACTAL DIMENSION = 1.68 LINK : GRAPHMATICA FILES

Page 31: Mathematical modeling

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 11 2.564949357

1 1 1 1 1 1 1 1 1 1 1 1 12 4.762173935

1 1 1 1 1 1 1 1 1 1 1 1 12

1 1 1 1 1 1 1 1 1 1 1 1 1 13

1 1 1 1 1 1 1 1 1 1 1 1 1 13

1 1 1 1 1 1 1 1 1 1 10

1 1 1 1 1 1 1 1 1 9

1 1 1 1 1 5

117

Page 32: Mathematical modeling

FRACTAL DIMENSION = 1.61

Ln(1/s)

Ln(Ne )

Ln (13) = 3

Ln(117) = 5.52

Ln(35) = 3.47

Ln(381) = 6.33

Ln(56) = 3.78

Ln(876) = 6.78

LINK : GRAPHMATICA FILE

Page 33: Mathematical modeling

STAGE R = P^2/A FRACTAL DIMENSION

NORMAL (SLIDE 8) 14.82 2.03

PRELIMINARY STAGE

23.94 1.82

INTERMIDIATE STAGE

119.36 1.73

ADVANCED STAGE - 1

1558 1.7

ADVANCED STAGE - 2

1809.84 1.68

ADVANCED STAGE- 3

1858.05 1.61

INCREASING

DECREASINGOther Links for fractal dimensions excel files1.Fractal dimension of a rectangle (same as to the topological dimension=2)

1.Fractal dimension remains same even if the size of the figure under study is reduced/increased.

Microsoft Office Excel Worksheet

Microsoft Office Excel Worksheet

DIMENIOSN OF RECTANGLE BY BOX COUNTING

FD OF SMALLER SIZE CELL STAGE 1

Page 34: Mathematical modeling

Limitations of the approach Making the equations that govern the model is a slow, hit and trial process.

There are always biological fudge factors which are almost impossible to predict and

even harder to stimulate. For example: A particular patient’s tumor could develop a

unique adaptation mechanism to counter the effects of the chemotherapy and

radiation.

Each individual’s body is unique in its own way and it is very difficult to define a

model that would give results to the same degree of accuracy for all the patients.

For example, a fat person will have a slower and more restricted blood flow, which in

turn affects the oxygen supply to the tumor and even how effective a given dosage

of drugs will be and whether or not the drugs will reach the intended site in the

intended concentration.

Page 35: Mathematical modeling

Our Resource Limitations We couldn’t get access to hands-on pictures of cancer cells from doctors and certified

hospitals due to the patient privacy policy. So, we had to rely on pictures found on the

internet.

Due to our limited knowledge in the field of cellular structure and medicine, we couldn’t

satisfactorily explore the biological depth of the subject.

The pictures were converted into polygons, which gave a very approximate shape.

For clinical purposes, approximations do not give accurate results. So a better

software is needed to apply the concept.

To find the fractal dimension by box counting method was done by using

MS EXCEL which does not give very accurate result to be used for diagnostic

researches. Software giving more accurate fractal dimension shall be needed to

conclude the actual stage of a patient. This was just an attempt to make the students

realize how the mathematics they study is so closely related to their lives.

Page 36: Mathematical modeling

REFERENCES1. http://mste.illinois.edu/dildine/cancer/2. Fratals for the classroom , by Evan

Maletsky, Terry Perciantae, Lee Yunker3. http://cancerres.aacrjournals.org/content/

60/14/3683.full.pdf4. A free trial version of the soft wares used

can be downloaded from the following links: http://www.keypress.com/x24795.xml

(geometer’s sketchpad) http://www8.pair.com/ksoft/ (graphmatica)

CLINICAL JUSTIFICATIONS OF THE HYPOTHESIS

http://www.newscientist.com/article/mg15721182.100-fractal-cancer.html

Page 37: Mathematical modeling

Personal details of the researcherNAME: Himani AsijaSCHOOL: Delhi Public School Vasant KunjADDRESS: B 804, NPSC Apts., Plot no. 5,

Sector-2, Dwarka New Delhi - 110075CONTACT NO.: 9717160042 E MAIL [email protected] http://mathemagic-

himani.spaces.live.com/