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. 2011 Jan 14;17(2):219–225. doi: 10.3748/wjg.v17.i2.219

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
1

Values × 1000 pixels per area;

2

Result of unpaired t test to compare well-differentiated neuroendocrine tumors (NETs) with well-differentiated neuroendocrine carcinomas (NECs);

3

P values are considered statistically significant. MVD: Microvessel density; PNET: Pancreatic neuroendocrine tumor.

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