Description

Nam et al developed a nomogram to help predict a man's risk of developing prostate cancer. This can help identify men who may benefit from closer monitoring. The authors are from Sunnybrook Health Sciences Centre, University of Toronto and the Cleveland Clinic.


 

Parameters:

(1) age of the patient in years

(2) race

(3) family history of prostate cancer

(4) AUA symptom score

(5) serum PSA in ng/mL

(6) ratio of free to total PSA

(7) digital rectal exam

 

Age in Years

Points

<= 35

0

35 - 95

(1.2817 * (age)) - 44.86

> 95

77

 

points for symptom score =

= (-0.337 * (symptom score)) + 13.2

 

Serum PSA

Points

0 to 4

(2.65 * (serum PSA))

4 to 50

(0.14348 * (serum PSA)) + 10.02

> 50

17.2

 

 

Ratio Free to Total PSA

Points

> 0.9

0

0.3 to 0.9

(-42.61 * (ratio)) + 38.34

0 to 0.3

(842.5 * ((ratio)^2)) - (502.7 * (ratio)) + 100.3

 

 

Parameter

Finding

Points

race

Asian

1.8

 

Black

16.6

 

White

14

 

Other

0

family history

no

0

 

yes

9.5

digital rectal exam

normal

0

 

abnormal

25.6

 

total score =

= SUM(points for all 7 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 220+

• The higher the score the greater the risk for prostate cancer.

 

Total Score

Risk of Developing Any Type of Prostate Cancer

< 55

< 5%

55 to 140.9

(0.004696 * ((score)^2)) - (0.3956 * (score)) + 12.61

140.9 to 212.5

(-0.004801 * ((score)^2)) + (2.288 * (score)) - 177.3

> 212.5

> 92%

 

Total Score

Risk of Developing High Grade Prostate Cancer

< 55

< 2%

55 to 165.8

(0.004108 * ((score)^2)) - (0.502 * (score)) + 17.59

165.8 to 212.5

(-0.004481 * ((score)^2)) + (2.436 * (score)) - 233.5

> 212.8

> 82%

 


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