Table 2.
Estimated means and 95% confidence intervals (in parentheses) for the BBBP measurements according to the Patlak model, and the parameters describing the quality of the linear regression (√MSE, R), both for the first bolus (bolus 1) and the second bolus (bolus 2), in ischemic and nonischemic ROIs
| Bolus 1 | Bolus 2 | p value | |
|---|---|---|---|
| Ischemic ROIs | |||
| BBBP | 1.42 (1.10-1.82) | 1.64 (1.31-2.05) | 0.79 |
| Quality of linear regression | |||
| √mse·104 | 0.96 (0.74-1.24) | 0.73 (0.48-1.13) | 0.87 |
| R | 0.69 (0.58-0.80) | 0.79 (0.68-0.90) | 0.90 |
| Nonischemic ROIs | |||
| BBBP | 1.04 (0.97-1.12) | 1.19 (1.11-1.28) | 1.0 |
| Quality of linear regression | |||
| √mse·104 | 0.42 (0.35-0.49) | 0.41 (0.33-0.49) | 0.63 |
| R | 0.84 (0.81-0.87) | 0.87 (0.84-0.90) | 0.99 |
The √MSE is a measure of variability around a straight line: a value close to 0 indicates a smaller spread of data points around the line, corresponding to a better fit. The correlation coefficient R measures the strength of a linear relationship: an R value closer to 1 indicates stronger linearity.