Table 3.
Microvessel density scores in gastroenteropancreatic neuroendocrine tumors in relation to clinicopathological parameters
MVD-endoglin |
MVD-CD31 |
|||||||
n | mean1 | SE1 | P | n | mean1 | SE1 | P | |
Tumor type | ||||||||
Carcinoid | 11 | 55 | 107 | 0.30 | 13 | 123 | 23 | 0.75 |
Functional PNET | 24 | 65 | 8 | 23 | 106 | 18 | ||
Non-functional PNET | 14 | 85 | 18 | 14 | 100 | 17 | ||
Origin | ||||||||
Primary tumors | 36 | 66 | 8 | 0.58 | 37 | 111 | 13 | 0.69 |
Metastatic tumors | 13 | 75 | 15 | 13 | 101 | 24 | ||
WHO classification | ||||||||
Well-differentiated NETs | 13 | 69 | 18 | 0.932 | 13 | 76 | 12 | 0.082 |
Well-differentiated NECs | 33 | 67 | 7 | 34 | 121 | 15 | ||
Poorly-differentiated NECs | 1 | 212 | 1 | 82 | ||||
Primary tumors: metastases | ||||||||
Present | 19 | 66 | 9 | 0.96 | 20 | 138 | 18 | 0.053 |
Absent | 17 | 67 | 14 | 17 | 88 | 15 |
Values × 1000 pixels per area;
Result of unpaired t test to compare well-differentiated neuroendocrine tumors (NETs) with well-differentiated neuroendocrine carcinomas (NECs);
P values are considered statistically significant. MVD: Microvessel density; PNET: Pancreatic neuroendocrine tumor.