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Description

Ferrone et al developed a nomogram for predicting disease-specific survival after resection of a pancreatic adenocarcinoma. This can help identify a patient who may benefit from more aggressive or a novel therapy. The authors are from Memorial Sloan-Kettering Cancer Center, Cleveland Clinic, and Massachusetts General Hospital.


Parameters from pretreatment data:

(1) age

(2) sex/gender

(3) portal vein involvement

(4) splenectomy

(5) margin of resection

(6) location (involvement of head vs other portion of the pancreas)

(7) histologic differentiation

(8) posterior margin

(9) number of positive lymph nodes

(10) number of negative lymph nodes

(11) back pain

(12) T stage

(13) weight loss

(14) maximum pathologic axis (diameter in cm)

 

Parameter

Finding

Points

gender

female

0

 

male

7.25

portal vein involvement

no

0

 

yes

10.3

splenectomy

no

0

 

yes

61.8

margin of resection

negative

0

 

positive

4.5

location

head

51.8

 

other

0

differentiation

well differentiated

0

 

moderately differentiated

13.9

 

poorly differentiated

34.9

posterior margin

negative

0

 

positive

21,5

back pain

no

0

 

yes

15

T stage

T2

0

 

T3

9.9

 

T1

36.2

 

T4

62.8

weight loss

no

0

 

yes

3.1

 

 

Age

Points for Age

< 30

15

30 to 90

10.873 - (0.1208 * (age in years))

>= 90

0

 

 

Negative Nodes

Points for Negative Nodes

0

10.9

1 to 90

10.8 - (0.12077 * (number of negative nodes))

>= 90

0

 

 

Positive Nodes

Points for Positive Nodes

0

0

1to 4

(-1.993 * ((number)^2)) + (16.22 * (number)) + 0.1143

5 to 40

29.65 + (0.9909 * (number))

>= 40

69.1

 

 

Maximum Diameter

Points for Maximum Diameter

0

0

0.1 to 4.5

(-2.843 * ((diameter)^2)) + (36.89 * (diameter)) - 1.386

4.5 to 16

119.3 - (3.587 * (diameter))

>= 16

62

 

 

total score =

= SUM(points for all 14 parameters)

 

Total Points

Probability of 12 Month Survival

< 79

> 94%

79 to 336.4

see below

> 336.4

< 6%

 

X for 12 month survival =

= (-0.000042 * ((points)^2)) - (0.003033 * (points)) + 3.152

 

probability of 12 month survival =

= 1 / (1 + EXP((-1) * X))

 

Total Points

Probability of 24 Month Survival

< 70.5

> 86%

70.5 to 303.3

see below

> 303.3

< 1%

 

Y for 24 month survival for 70.5 to 303.3 =

= (-0.000084 * ((points)^2)) + (0.005280 * (points)) + 1.706

 

probability of 24 month survival =

= 1 / (1 + EXP((-1) * Y))

 

Total Points

Probability of 36 Month Survival

< 68.7

> 80%

68.7 to 273.9

see below

> 273.9

< 1%

 

Z for 36 month survival =

= (-0.000101 * ((points)^2)) + (0.007003 * (points)) + 1.24

 

probability of 36 month survival =

= 1 / (1 + EXP((-1) * Z))


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