Table 2.

Statistical results from Testing at vessel extraction level

Phase 1 algorithm performance testing: vessel extraction level (decision threshold 0.5)
	Formula	Confusion Matrix Values	Calculated Value	95% CI
Sensitivity	$\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{FN}}$	107/(107 + 18)	85.60%	78.20 to 91.24%
Specificity	$\frac{\mathrm{TN}}{\mathrm{FP}+\mathrm{TN}}$	988/(78 + 988)	92.68%	90.95 to 94.17%
PPV	$\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{FP}}$	107/(107 + 78)	57.84%	52.27 to 63.22%
NPV	$\frac{\mathrm{TN}}{\mathrm{FN}+\mathrm{TN}}$	988/(18 + 988)	98.21%	97.28 to 98.83%
Accuracy	$\frac{\mathrm{TP}+\mathrm{TN}}{\mathrm{TP}+\mathrm{FP}+\mathrm{FN}+\mathrm{TN}}$	(107 + 988)/(107 + 78 + 18 + 988)	91.94%	90.25 to 93.42%

FN false negative, FP false positive, NPV negative predictive value, PPV positive predictive value, TN true negative, TP true positive