Table 3.
Diagnostic performance of CgA, NSE and combined biomarkers on NF-pNETs for LM.
Sensitivity (%) | Specificity (%) | Cut-off value (μg/L) | AUC | PPV (%) | NPV (%) | |
---|---|---|---|---|---|---|
CgA | ||||||
PNET with LM vs with no LM | 78.3 | 65.5 | 74.0 | 0.753 | 51.5 | 86.6 |
PNEC with LM vs with no LM | 55.7 | 78.3 | 15.0 | 0.785 | 54.6 | 79.1 |
NSE | ||||||
PNET with LM vs with no LM | 93.8 | 72.9 | 58.5 | 0.704 | 66.7 | 95.3 |
PNEC with LM vs with no LM | 87.5 | 58.3 | 16.4 | 0.757 | 54.9 | 89.0 |
Combined biomarkers | ||||||
PNET with LM vs with no LM | 78.3 | 66.8 | 0.758 | 56.5 | 86.8 | |
PNEC with LM vs with no LM | 88.9 | 70.8 | 0.808 | 61.8 | 91.7 |
CgA, chromogranin A; LM, liver metastasis; NPV, negative predictive value; NSE, neuron-specific enolase; pNETs, Pancreatic neuroendocrine tumors; PPV, positive predictive value.