Table 5.
Diagnostic accuracy of MDCT for the detection of significant (>50%) coronary stenosis using a segment-based model in Group 2 (Segments for analysis only).
| Segments | N | TN | TP | FN | FP | Se | Sp | NPV | PPV | Accuracy |
|---|---|---|---|---|---|---|---|---|---|---|
| LM | 104 | 99 | 4 | 1 | 0 | 80% | 100% | 99% | 100% | 99% |
| Proximal LAD | 94 | 46 | 45 | 1 | 2 | 98% | 96% | 98% | 96% | 97% |
| Mid LAD | 91 | 44 | 42 | 1 | 4 | 98% | 92% | 98% | 91% | 94% |
| Distal LAD | 99 | 86 | 10 | 2 | 1 | 83% | 99% | 98% | 91% | 97% |
| D1 | 86 | 66 | 19 | 0 | 1 | 100% | 98% | 100% | 95% | 99% |
| D2 | 30 | 27 | 3 | 0 | 0 | 100% | 100% | 100% | 100% | 100% |
| Proximal LCX | 96 | 70 | 17 | 3 | 6 | 85% | 92% | 96% | 74% | 91% |
| Mid LCX | 94 | 72 | 18 | 2 | 2 | 90% | 97% | 97% | 90% | 96% |
| Distal LCX | 101 | 89 | 8 | 2 | 2 | 80% | 98% | 98% | 80% | 96% |
| M1 | 89 | 72 | 9 | 2 | 6 | 82% | 92% | 97% | 60% | 91% |
| M2 | 24 | 19 | 2 | 0 | 3 | 100% | 86% | 100% | 40% | 88% |
| Proximal RCA | 99 | 66 | 28 | 0 | 5 | 100% | 93% | 100% | 85% | 95% |
| Distal RCA | 96 | 66 | 25 | 3 | 2 | 89% | 97% | 96% | 93% | 95% |
| PLA | 100 | 85 | 12 | 1 | 2 | 92% | 98% | 99% | 86% | 97% |
| PDA | 100 | 87 | 9 | 3 | 1 | 75% | 99% | 97% | 90% | 96% |
| All segments | 1303 | 994 | 251 | 21 | 37 | 92% (87-94) | 96% (94-97) | 98% (96-99) | 87% (86-89) | 96% (93-97) |
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;