√MSE calculated for the fitting of the Patlak linea
| 90–240 Seconds | 30–90 Seconds | 0–90 Seconds | 0–90 Seconds | |
|---|---|---|---|---|
| Reference Standard | Delay Correction | Delay Correction | No Delay Correction | |
| Nonischemic | 1.56 (1.36,1.79) | 1.12 (0.97–1.30) | 2.38 (1.74–3.26) | 4.04 (3.04–5.36) |
| P < .001 | P = .002 | P < .001 | ||
| Infarct | 1.79 (1.49, 2.15) | 1.19 (1.02–1.39) | 2.54 (1.85–3.49) | 4.05 (3.03–5.38) |
| P < .001 | P = .026 | P < .001 | ||
| Tissue at risk | 1.65 (1.45, 1.87) | 1.14 (1.00–1.29) | 2.86 (2.07–3.95) | 4.25 (3.24–5.56) |
| P< .001 | P< .001 | P< .001 |
a Mean √MSE and corresponding 95% CIs are shown for different region-of-interest and acquisition-time datasets, as well as P values derived from the GEE models. √MSE is a measure of variability of data points around a straight line: a value close to zero indicates a smaller spread of data points around the line, corresponding to a better fit.