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Table 1 Results of the linear regressions of sweet-spot times with time to peak strain and end systolic time

From: Can we predict the diffusion "sweet-spot" based on a standard cine?

 

Mean sweet spot time ± SD (ms)

Slope [95% confidence intervals]

Offset (ms) [95% confidence intervals]

R-squared

Using time to peak strain

    

Systolic radial

166 ± 29

0.59 [0.29 - 0.89]

-33 [-134 - 69]

0.63

Systolic circumferential

154 ± 22

0.49 [0.30 - 0.68]

-11 [-75 - 53]

0.75

Diastolic radial

488 ± 56

1.33 [0.96 - 1.71]

40 [-88 - 168]

0.85

Diastolic circumferential

512 ± 54

1.29 [0.91 - 1.67]

78 [-50 - 206]

0.84

Using time to peak systole

    

Systolic radial

166 ± 29

-0.01 [-0.69 - 0.50]

195 [18 - 372]

0.011

Systolic circumferential

154 ± 22

-0.01 [-0.47 - 0.44]

158 [22 - 294]

0.015

Diastolic radial

488 ± 56

0.22 [-0.93 - 1.36]

424 [80 - 767]

0.00043

Diastolic circumferential

512 ± 54

0.26 [-0.86 - 1.37]

436 [102 - 770]

0.023

  1. Linear regression was performed to a model [Sweet-spot = slope × time + offset] in Matlab. SD - standard deviation.