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. 2015 Feb 13;75(1):196–206. doi: 10.1002/mrm.25612

Table 2.

Results From Linear Regression Analysis

Flow Through AA Compared to PT
y X Aortic Flow (ml) Pulmonary Flow (ml) Intercept (ml) Slope P value R2 N
Spiral AA Spiral PT 88 ± 20 82 ± 18 3.56 1.03 0.0001 0.88 10
Cartesian AA Cartesian PT 96 ± 17 90 ± 16 24.55 0.79 0.0610 0.54 7
Pathline Analysis: LV Inflow Compared to LV Outflow
y X Inflow (ml) Outflow (ml) Intercept (ml) Slope P value R2 N
Spiral in Spiral out 83 ± 23 84 ± 21 −2.41 1.02 0.0000 0.90 10
Cartesian in Cartesian out 84 ± 17 83 ± 15 −6.48 1.10 0.0004 0.93 7
Spiral Compared to Cartesian: Net Volume Flow
y X Spiral (ml) Cartesian (ml) Intercept (ml) Slope P value R2 N
Spiral AA & PT Cartesian AA & PT 91 ± 16 93 ± 16 17.63 0.79 0.0003 0.68 7 + 7
Spiral in & out Cartesian in & out 88 ± 16 84 ± 15 14.90 0.87 0.0001 0.72 7 + 7
Peak Flow Rate
y X Spiral (ml/s) Cartesian (ml/s) Intercept (ml/s) Slope P value R2 N
Spiral AA & PT Cartesian AA & PT 432 ± 101 426 ± 89 21.73 0.96 0.0001 0.72 7 + 7
Peak Velocity
y X Spiral (m/s) Cartesian (m/s) Intercept (m/s) Slope P value R2 N
Spiral AA & PT Cartesian AA & PT 1.14 ± 0.32 1.16 ± 0.29 −0.02 1.00 0.0000 0.81 7 + 7
Flow Components From Pathline Analysis*
y X Spiral (ml) Cartesian (ml) Intercept (ml) Slope P value R2
Spiral Cartesian 36 ± 19 34 ± 17 0.28 1.04 0.0000 0.87 7·4

Linear regression model was y = intercept + slope ·X. If P value of slope, P, is < 0.05, a significant linear relationship between y and X was found. N = 7 for normal and N=10 if including patients (only spiral data). All net volume flow values are represented as mean ± one SD. *Regression analysis of flow components included all four flow components (direct, retained, delayed, and residual) in one regression. Mean flow is mean of all components.

AA, ascending aorta; LV, left ventricle; PT, pulmonary trunk; SD, standard deviation.