Table 2. Univariate and binary logistic regression analyses of clinicopathological parameters according to perivascular invasion status.
|
Patient and tumor characteristics |
Perivascular invasion |
Univariate analysis |
Binary logistic regression analysis |
|||
|
Present (n=45) |
Absent (n=105) |
p-value |
p-value |
Odds ratio |
||
|
Tumor size (cm) |
<2.5 |
16 (11%) |
65 (43%) |
0.0041* |
- |
|
|
≥2.5 |
29 (19%) |
40 (27%) |
||||
|
Histologic grade |
1 |
3 (2%) |
19 (13%) |
0.0402* |
0.4433 |
1.096 |
|
2 |
30 (20%) |
48 (32%) |
||||
|
3 |
12 (8%) |
38 (25%) |
||||
|
Lymphovascular invasion |
Present |
32 (21%) |
41 (27%) |
0.0011* |
0.0113* |
3.226 |
|
Absent |
13 (9%) |
64 (43%) |
||||
|
Perineural invasion |
Present |
23 (15%) |
34 (23%) |
0.0201* |
0.0923 |
0.471 |
|
Absent |
22 (15%) |
71 (47%) |
||||
|
Extranodal extension |
Present |
21 (14%) |
29 (19%) |
0.035*1 |
0.3323 |
0.645 |
|
Absent |
24 (16%) |
76 (51%) |
||||
*p< 0.05, 1: Pearson’s chi-square test, 2: Fisher’s freeman’s Halton test, 3: Binary logistic regression analysis.