Table 5.
Predictive performance for identifying benign and malignant SPL
| Parameters | AUC (95% CI) | P-value | Cutoff | Sensitivity | Specificity | Comparison with a combined diagnosis |
|---|---|---|---|---|---|---|
| Training set | ||||||
| SUVmax | 0.853 (0.759 ~ 0.921) | < 0.001 | 6.690 | 73.21% | 96.43% | Z = 3.080, P = 0.002 |
| MTV (ml) | 0.768 (0.663 ~ 0.853) | < 0.001 | 6.930 | 67.86% | 78.57% | Z = 4.030, P < 0.001 |
| TLG (g) | 0.809 (0.709 ~ 0.887) | < 0.001 | 16.653 | 73.21% | 82.14% | Z = 3.653, P < 0.001 |
| ADC (× 10−3mm2/s) | 0.888 (0.800 ~ 0.946) | < 0.001 | 1.573 | 76.79% | 92.86% | Z = 2.761, P = 0.006 |
| DDC (× 10−3mm2/s) | 0.786 (0.683 ~ 0.868) | < 0.001 | 2.721 | 78.57% | 85.71% | Z = 3.844, P < 0.001 |
| α | 0.786 (0.683 ~ 0.868) | < 0.001 | 0.534 | 67.86% | 89.29% | Z = 3.773, P < 0.001 |
| MTRasym(3.5 ppm) (%) | 0.691 (0.581 ~ 0.788) | 0.002 | 2.225 | 55.36% | 89.29% | Z = 4.938, P < 0.001 |
| Prediction model | 0.976 (0.916—0.997) | < 0.001 | / | 94.64% | 92.86% | / |
| Test set | ||||||
| SUVmax | 0.885 (0.734 ~ 0.967) | < 0.001 | 3.330 | 86.96% | 84.62% | Z = 1.741, P = 0.081 |
| MTV (ml) | 0.793 (0.625 ~ 0.909) | < 0.001 | 8.395 | 69.57% | 84.62% | Z = 2.337, P = 0.020 |
| TLG (g) | 0.833 (0.671 ~ 0.936) | < 0.001 | 17.924 | 69.57% | 92.31% | Z = 2.317, P = 0.021 |
| ADC (× 10−3mm2/s) | 0.756 (0.584 ~ 0.883) | 0.004 | 1.324 | 60.87% | 92.31% | Z = 2.263, P = 0.024 |
| DDC (× 10−3mm2/s) | 0.729 (0.555 ~ 0.863) | 0.006 | 1.824 | 52.17% | 92.31% | Z = 2.697, P = 0.007 |
| α | 0.776 (0.606 ~ 0.898) | < 0.001 | 0.485 | 86.96% | 61.54% | Z = 2.514, P = 0.012 |
| MTRasym(3.5 ppm) (%) | 0.732 (0.559 ~ 0.866) | 0.007 | 1.880 | 65.22% | 100.00% | Z = 2.562, P = 0.010 |
| Prediction model | 0.957 (0.831—0.997) | < 0.001 | / | 91.30% | 92.31% | / |
SPL solitary pulmonary lesion, SUVmax Maximum standardized uptake value, MTV Metabolic tumor volume, TLG Total lesion glycolysis, ADC Apparent diffusion coefficient, DDC Distributed diffusion coefficient, α diffusion heterogeneity index, MTRasym(3.5 ppm) magnetization transfer ratio asymmetry at 3.5 ppm. The prediction model represents SUVmax. + ADC + MTRasym (3.5 ppm)