Table 4.

Diagnostic accuracy of MDCT for the detection of significant (>50%) coronary stenosis using a segment-based model in Group 1 (Segments for analysis only).

Segments	N	TN	TP	FN	FP	Se	Sp	NPV	PPV	Accuracy
LM	99	85	1	7	6	13%	93%	92%	14%	87%
Proximal LAD	99	44	43	0	12	100%	79%	100%	78%	88%
Mid LAD	93	40	38	7	8	84%	83%	85%	83%	84%
Distal LAD	98	86	6	4	2	60%	98%	96%	75%	94%
D1	80	48	15	6	11	71%	81%	89%	58%	79%
D2	58	52	1	1	4	50%	93%	98%	20%	91%
Proximal LCX	101	65	22	3	11	88%	86%	96%	67%	86%
Mid LCX	95	70	16	4	5	80%	93%	95%	76%	91%
Distal LCX	92	84	3	2	3	60%	97%	98%	50%	95%
M1	76	54	8	7	7	53%	89%	89%	53%	82%
M2	17	14	2	1	0	67%	100%	93%	100%	94%
Proximal RCA	91	47	25	11	8	69%	85%	81%	76%	79%
Distal RCA	89	44	28	8	9	83%	78%	85%	76%	83%
PLA	64	52	6	2	4	75%	93%	96%	60%	91%
PDA	77	66	2	7	2	22%	97%	90%	50%	88%
All segments	1229	851	218	69	91	76% (72-82)	90% (88-92)	93% (91-94)	71% (65-73)	87% (86-90)

D1 = First diagonal branch; D2 = Second diagonal branch; FN = false negative; FP = false positive;

LM = left main; LAD = left anterior descending; LCX = left circumflex; M1 = First marginal branch;

M2 = Second marginal branch; NPV = negative predictive value; PLA = Postero-lateral artery;

PDA = Posterior descending artery; PPV = positive predictive value; Se = Sensitivity;

Sp = Specificity; TN = true negative; TP = true positive;