Description

Lane et al developed a nomogram for predicting the likelihood of a renal carcinoma in a tumor removed by partial nephrectomy. This can help to identify a patient who may benefit from more aggressive management. The authors are from the Glickman Urological Institute and the Cleveland Clinic in Cleveland, Ohio.


 

Patient selection: solid enhancing renal tumor 7 cm or less in diameter in a patient from 20 to 90 years of age

 

Parameters:

(1) age and gender

(2) diameter of the tumor in cm

(3) local symptoms at diagnosis

(4) history of smoking

 

points for male =

= (-1.4286 * (age in years)) + 128.57

 

points for female =

= (0.3857 * (age in years)) + 5.2857

 

points for tumor diameter =

= (7.84615 * (diameter in cm)) - 3.923

Parameter

Finding

Points

local symptoms at diagnosis

yes

0

 

no

0.5

history of smoking

no

0

 

yes

13

 

where:

• Local symptoms contribute little to the model.

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 160

• The higher the score the greater the likelihood of the tumor being malignant.

 

Probability

Total Score

< 50%

< 19.6 points

50 to 95%

(-0.004989 * ((points)^2)) + (1.154 * (points)) + 28.97

> 95%

> 103 points

 


To read more or access our algorithms and calculators, please log in or register.