Description

Bevilacqua et al developed a nomogram for predicting whether a woman with breast cancer will have metastases in a sentinel lymph node. This can help advise the patient about the procedure. The authors are from the Cleveland Clinic and Medicina da Universidade de Sao Paolo in Brazil.


NOTE: A separate nomogram that does not include results of receptor studies is shown in Figure 3.

 

Parameters:

(1) age of the patient in years

(2) diameter of the tumor in cm

(3) special type of tumor with low risk (colloid, medullary, tubular)

(4) location in upper inner quadrant

(5) lymphovascular invasion

(6) multifocal disease

(7) histologic features (nuclear grade for invasive ductal, lobular)

(8) estrogen receptor status

(9) progesterone receptor status

 

points for age (over range 20 to 100 years) =

= (-0.345 * (age)) + 34.5

 

points for tumor diameter =

= (0.03943 * ((diameter)^3)) - (0.8341 * ((diameter)^2)) + (13.43 * (diameter)) + 1.759

 

Parameter

Finding

Points

histologic features

Grade 1 nucleus

0

 

Grade 2 nucleus

7.2

 

Grade 3 nucleus

9

 

lobular

10.5

special type of cancer

no

18.7

 

yes

0

location

upper inner quadrant (UIQ)

0

 

other

5.83

lymphovascular invasion

no

0

 

yes

18.2

multifocal disease

no

0

 

yes

11.7

estrogen receptor

negative

0

 

positive

5.8

progesterone receptor

negative

0

 

positive

4.4

 

total score =

= SUM(points for all 9 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: around 200

• The higher the score the greater the probability of metastases in a sentinel lymph node.

 

probability of metastases for a score from 0 to 81.4 =

= (0.000095 * ((total score)^3)) - (0.004783 * ((total score)^2)) + (0.1293 * (total score)) - 0.0062

 

probability of metastases for a score from 81.4 to 101.4 =

=  (0.01535 * ((total score)^2)) - (1.307 * (total score)) + 34.7

 

probability of metastases for a score from 101.4 to 150 =

= (0.000011 * ((total score)^3)) - (0.01427 * ((total score)^2)) + (3.851 * (total score)) - 195.1

 

For a score > 150 the probability is > 95%.


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