Description

Karakiewicz et al developed 2 nomograms for predicting the probability of identifying cancer in a prostate biopsy. The authors are from the University of Montreal, McGill University, University of Ottawa, Memorial Sloan-Kettering Cancer Center and University of Hamburg.


 

Nomogram 1

 

Parameters for Model 1:

(1) age

(2) digital rectal examination (DRE)

(3) PSA

(4) fraction of free PSA

 

points for age =

= (0.2776 * (age in years)) - 2.7768

 

Digital Rectal Exam

Points

normal

0

suspicious for cancer

20.9

 

points for serum PSA =

= (0.337 * (serum PSA))

 

points for free PSA =

= (-100 * (decimal fraction of free PSA)) + 100

 

total score 1 =

= (points for age) + (points for DRE) + (points for PSA) + (points for fraction of free PSA)

 

X =

= (0.08709 * (total score 1)) - 9.432

 

probability of prostate cancer on the needle biopsy =

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

 

Nomogram 2

 

Parameters for Model 2:

(1) age

(2) digital rectal examination (DRE)

(3) serum PSA

 

points for age =

= (0.699 * (age in years)) - 19.02

Digital Rectal Exam

Points

normal

0

suspicious for cancer

45

 

points for PSA =

= (PSA) * 2

 

total score 2 =

= (points for age) + (points for DRE) + (points for PSA)

 

Y =

= (0.02794 * (total score 2)) - 2.386

 

probability of prostate cancer on the needle biopsy =

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

 


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