Vollmer et al developed a statistical model to predict the probability of lymph node metastases shortly after the diagnosis of a primary cutaneous malignant melanoma. The authors are from Duke University in North Carolina.
Parameters used for model identified by logistic regression:
(1) thickness of tumor in mm
(2) ulceration
(3) primary site
Parameter |
Finding |
Points |
---|---|---|
thickness in mm |
maximal vertical thickness |
(mm) |
ulceration |
absent |
0 |
|
present |
1 |
primary site |
acral |
0 |
|
extremity, non-acral |
1 |
|
head or trunk |
0 |
E =
= (0.693 * (points for site)) + (0.559 * (points for ulcer)) + (0.414 * (points for thickness)) – 1.90
pretest probability for nodal metastasis =
= 1 / (1 + EXP((-1) * E))
If the lymph nodes are subsequently biopsied, then the pretest probability and the histologic diagnosis can be used to estimate patient survival.
Pretest Probability |
Lymph Node Pathology |
10 Year Survival |
---|---|---|
< 0.5 |
negative |
80% |
< 0.5 |
positive |
40% |
>= 0.5 |
negative |
60% |
>= 0.5 |
positive |
25% |
from Figures 2 and 3, page 878
Purpose: To estimate the risk of lymph node metastasis in a patient with a primary cutaneous malignant melanoma using the model of Vollmer et al.
Specialty: Hematology Oncology, Surgery, general, Dermatology
Objective: risk factors, severity, prognosis, stage
ICD-10: C43,