Table 1.
Model | Parameter | ROI | Pixel | ||||
---|---|---|---|---|---|---|---|
| |||||||
Mean | IQR | wSCV | Mean | IQR | wSCV | ||
Quantitative Parameters (Reference Region) | |||||||
| |||||||
LRRM | RKtrans | 2.57 | 1.86–3.23 | 0.41 | 2.40 | 1.67–3.16 | 0.40 |
kep,TOI | 0.11 | 0.01–0.73 | 0.74 | 0.03 | 0.0–0.04 | 0.68 | |
NRRM | RKtrans | 1.52 | 1.02–2.61 | 0.97 | 1.99 | 1.13–2.97 | 0.92 |
kep,TOI | 1.03 | 0.62–1.47 | 0.91 | 1.33 | 0.81–1.55 | 0.73 | |
NRRM* | RKtrans | 1.24 | 0.73–1.68 | 0.74 | 1.99 | 1.13–2.97 | 0.63 |
kep,TOI | 0.45 | 0.12–0.71 | 0.61 | 0.30 | 0.07–0.43 | 0.53 | |
| |||||||
Quantitative Parameters (Tofts Model) | |||||||
| |||||||
LTM | Ktrans | 0.25 | 0.03–0.34 | 0.43 | 0.22 | 0.09–0.24 | 0.66 |
kep,TOI | 0.85 | 0.64–1.10 | 0.37 | 0.90 | 0.73–1.05 | 0.21 | |
NTM | Ktrans | 0.16 | 0.09–0.24 | 0.57 | 0.18 | 0.17–0.21 | 0.20 |
kep,TOI | 7.64 | 6.89–8.04 | 0.19 | 8.20 | 8.67–9.48 | 0.45 | |
NTM* | Ktrans | 0.08 | 0.05–0.11 | 0.43 | 0.05 | 0.04–0.05 | 0.27 |
kep,TOI | 1.87 | 1.04–2.32 | 0.26 | 2.21 | 1.59–2.83 | 0.29 | |
| |||||||
Semi-Quantitative Parameters | |||||||
| |||||||
MER | 5.93 | 4.56 – 8.22 | 0.44 | 7.46 | 6.22 – 8.81 | 0.25 | |
TTP | 3.79 | 3.20 – 4.05 | 0.15 | 3.09 | 2.99 – 3.20 | 0.07 | |
iauc64 | 0.21 | 0.15 – 0.29 | 0.48 | 0.22 | 0.18 – 0.26 | 0.29 | |
slope | 1.56 | 1.31 – 2.60 | 0.41 | 2.46 | 2.13 – 2.82 | 0.27 |
LRRM = linear reference region model
NRRM = nonlinear reference region model with set initial guess
NRRM* = nonlinear reference region model with initial guess from LRRM estimates
LTM = linear tofts model
NTM = nonlinear tofts model with set initial guess
NTM* = nonlinear tofts model with initial guess from LTM estimates
MER = mean enhancement ratio, TTP = time to peak, iauc64 = initial area under the curve
IQR: inter-quartile range
wSCV: within subject coefficient of variation. Bounds: 95% lower and upper confidence intervals