Table 5.
Concordance correlation coefficients (CCC) comparing fitted and simulated ve using different models and dependent parameters
| CCC for ve (simulated) vs. ve (fitted) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Generating model | Fitting model | Time resolution (s) | SNR | Dependent parameter | Ktrans = 0.01 | 0.02 | 0.05 | 0.1 | 0.2 | 0.35 |
| Tofts | Tofts | 0.5 | 5 | Ktrans | 0.71 | 0.96 | 1.00 | 1.00 | 0.94 | 0.97 |
| 0.5 | 100 | Ktrans | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | ||
| 6 | 5 | Ktrans | 0.33 | 0.52 | 0.68 | 0.63 | 0.65 | 0.68 | ||
| 6 | 100 | Ktrans | 0.95 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | ||
| Ktrans = 0.01 | 0.02 | 0.05 | 0.1 | 0.2 | 0.35 | |||||
| Ex-Tofts | Ex-Tofts | 0.5 | 5 | Ktrans | 0.67 | 0.86 | 0.87 | 0.80 | 0.66 | 0.54 |
| 0.5 | 100 | Ktrans | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | ||
| 6 | 5 | Ktrans | 0.22 | 0.40 | 0.48 | 0.47 | 0.35 | 0.35 | ||
| 6 | 100 | Ktrans | 0.95 | 1.00 | 1.00 | 1.00 | 0.93 | 0.74 | ||
| vp = 0.001 | 0.02 | 0.05 | 0.1 | 0.2 | 0.5 | |||||
| 0.5 | 5 | vp | 0.74 | 0.73 | 0.69 | 0.71 | 0.73 | 0.70 | ||
| 0.5 | 100 | vp | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | ||
| 6 | 5 | vp | 0.38 | 0.38 | 0.36 | 0.36 | 0.32 | 0.32 | ||
| 6 | 100 | vp | 0.92 | 0.94 | 0.93 | 0.93 | 0.93 | 0.94 | ||
| Ktrans = 0.01 | 0.02 | 0.05 | 0.1 | 0.2 | 0.35 | |||||
| 2CXM | 2CXM | 0.5 | 5 | Ktrans | 0.51 | 0.52 | 0.29 | 0.19 | 0.12 | 0.06 |
| 0.5 | 100 | Ktrans | 0.97 | 0.97 | 0.93 | 0.84 | 0.70 | 0.49 | ||
| 6 | 5 | Ktrans | 0.17 | 0.27 | 0.24 | 0.15 | 0.06 | 0.03 | ||
| 6 | 100 | Ktrans | 0.81 | 0.88 | 0.73 | 0.46 | 0.23 | 0.10 | ||
| vp = 0.001 | 0.02 | 0.05 | 0.1 | 0.2 | 0.5 | |||||
| 0.5 | 5 | vp | 0.09 | 0.15 | 0.24 | 0.36 | 0.41 | 0.37 | ||
| 0.5 | 100 | vp | 0.50 | 0.83 | 0.88 | 0.91 | 0.87 | 0.86 | ||
| 6 | 5 | vp | 0.11 | 0.12 | 0.14 | 0.16 | 0.21 | 0.19 | ||
| 6 | 100 | vp | 0.23 | 0.41 | 0.49 | 0.55 | 0.59 | 0.63 | ||
| Fp = 0.5 | 1 | 5 | ||||||||
| 0.5 | 5 | Fp | 0.19 | 0.24 | 0.31 | |||||
| 0.5 | 100 | Fp | 0.68 | 0.81 | 0.90 | |||||
| 6 | 5 | Fp | 0.14 | 0.15 | 0.17 | |||||
| 6 | 100 | Fp | 0.40 | 0.48 | 0.54 | |||||
| FXR | FXR | 0.5 | 5 | Ktrans | 0.37 | 0.41 | 0.43 | 0.48 | 0.52 | 0.46 |
| 0.5 | 100 | Ktrans | 0.90 | 0.92 | 0.96 | 0.93 | 0.93 | 0.94 | ||
| 6 | 5 | Ktrans | 0.20 | 0.23 | 0.25 | 0.24 | 0.23 | 0.23 | ||
| 6 | 100 | Ktrans | 0.63 | 0.76 | 0.80 | 0.81 | 0.74 | 0.82 | ||
| τi = 0.1 | 0.5 | 2 | ||||||||
| 0.5 | 5 | τi | 0.41 | 0.45 | 0.44 | |||||
| 0.5 | 100 | τi | 0.94 | 0.93 | 0.92 | |||||
| 6 | 5 | τi | 0.24 | 0.23 | 0.22 | |||||
| 6 | 100 | τi | 0.76 | 0.75 | 0.73 | |||||
100 curves for each model and fixed dependent parameter were generated as described in the text and Table 2. ve values simulated are defined in Table 2. The CCC was calculated from the ve (simulated) vs. ve (fitted) . ve values from which CCCs were calculated were segregated according to the dependent parameter (Ktrans, vp or Fp). A value of 1 shows near-perfect concordance, while 0 represents a low concordance relationship