Zhang et al reported a model for predicting axillary lymph node metastases in a woman with breast cancer in China. This can help guide patient management decision. The authors are from multiple institutions in China.
Patient selection: breast cancer in Chinese female from 20 to 90 years of age
Parameters:
(1) age in years
(2) size as T stage
(3) location in the breast
(4) invasion
(5) clinical lymph node status
(6) pathology
(7) molecular subtype
points for age =
= (-0.4914 * (age)) + 44.2286
Parameter |
Finding |
Points |
size |
T1 |
0 |
|
T2 |
7 |
|
T3 |
23 |
location |
lower inner quadrant |
0 |
|
upper inner quadrant |
17 |
|
upper outer quadrant |
31 |
|
lower outer quadrant |
41 |
|
central |
49 |
|
others |
27 |
invasion |
no |
0 |
|
yes |
26 |
lymph node |
no |
0 |
|
yes |
42 |
pathology |
DCIS with microinvasion |
0 |
|
invasive ductal |
100 |
|
invasive lobular |
98 |
|
other |
72 |
subtype |
triple negative |
0 |
|
HER2+ |
5 |
|
luminal-like |
11 |
score =
= SUM(points for all 7 parameters)
Interpretation:
• minimum score: 0
• maximum score: 285.5
value of X =
= (0.029409 * (score)) - 5.2659
probability of axillary lymph node metastasis =
= 1 / (1 + EXP((-1) * (X)))
Specialty: Hematology Oncology