McWilliams et al developed models for predicting cancer in a pulmonary nodule seen on a first screening CT. Two models are for a nonspiculated mass, one parsimonious and one a full model. The authors are from multiple institutions in Canada, the United States and Argentina.
Data modifications:
(1) age: 62 is subtracted from the actual age
(2) nodule size: 4 mm is subtracted and then transformed (below)
(3) number of nodules: 4 is subtracted
nodule size transformation =
= (((nodule size after modified) / 10)^(-0.5)) - 1.58113883
Parameters for parsimonious model:
(1) sex
(2) nodule size
(3) nodule location
(4) age
(5) family history of lung cancer
(6) emphysema
(7) nodule type
(8) number of nodules
Parameter |
Findings |
Points |
sex |
male |
0 |
|
female |
0.5635 |
nodule size |
|
-5.6693 * (size) |
nodule location |
upper |
0.7116 |
|
middle or lower lobe |
0 |
age |
|
0.0321 * (age) |
family history |
no |
0 |
|
yes |
0.3013 |
emphysema |
no |
0 |
|
yes |
0.3462 |
nodule type |
solid |
0 |
|
part solid |
0.3395 |
|
nonsolid |
-0.3055 |
|
wtih ground glass opacity |
-0.3055 |
number nodules |
|
-0.0803 * (number) |
value of X =
= SUM(points for the parameters)-6.8071
probability of cancer =
= 1 / (1 + EXP((-1) * X))
Purpose: To use the full model of McWilliams et al to predict cancer in a nonspiculated mass seen on a first screening CT.
Specialty: Pulmonology
Objective: imaging studies, other testing
ICD-10: C38.1,