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Table 1 Validity of automated tracings is dependent on image quality

From: Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction

  

Pearson’s r

95% CI

p-value

Equation

Bias

LOA

Significance of Bias

Q1 (n = 16)

EF (%)

.67*

.26 to .88

.0044

Y = 0.8312x + 6.223

−2.14

−15.7 to 11.4

n.s.

FS (%)

.77*

.44 to .92

.0005

Y = 2.082x-15.3

−1.20

−8.9 to 6.4

n.s.

EDV (μl)

.87*

.66 to .95

<.0001

Y = 0.8465x + 6.08

−4.85

−17.4 to 7.7

n.s.

ESV (μl)

.73*

.38 to .90

.0012

Y = 0.8159x + 5.644

−1.05

−15.6 to 13.5

n.s.

SV (μl)

.88*

.68 to .96

<.0001

Y = 0.9732x-2.87

−3.81

−10.8 to 3.2

n.s.

CO (μl)

.88*

.68 to .96

<.0001

Y = 0.9543x-1.024

−1.71

−4.7 to 1.3

n.s.

HR (bpm)

.99*

.96 to 1.0

<.0001

Y = 0.01201x + 7.861

2.73

−9.2 to 14.6

n.s.

Q2 (n = 21)

EF (%)

.52*

.12 to .78

.015

Y = 0.6419x + 12.26

−5.68

−21.4 to 10.1

n.s.

FS (%)

.24

−.22 to .61

.2977

Y = 0.2597x + 7.213

−2.21

−9.2 to 4.8

n.s.

EDV (μl)

.76*

.49 to .90

<.0001

Y = 0.7203x + 18.6

−0.30

−19.5 to 18.9

n.s.

ESV (μl)

.60*

.23 to .82

.0039

Y = 0.6607x + 14.98

3.61

−10.9 to 18.1

n.s.

SV (μl)

.74*

.45 to .88

.0001

Y = 0.7098x + 5.966

−3.91

−17.0 to 9.6

n.s.

CO (μl)

.77*

.50 to .90

<.0001

Y = 0.7843x + 1.646

−1.64

−7.4 to 4.1

n.s.

HR (bpm)

.92*

.80 to .97

<.0001

Y = 0.04046x-20.08

−1.91

−27.8 to 23.9

n.s.

Q3 (n = 13)

EF (%)

.33

−.27 to .75

.2726

Y = 0.3706x + 27.93

−5.60

−27.1 to 15.9

n.s.

FS (%)

.56*

.02 to .85

.0452

Y = 0.9746x-2.26

−2.60

−12.9 to 7.7

n.s.

EDV (μl)

.76*

.35 to .92

.0028

Y = 0.7182x + 16.49

−0.31

−19.0 to 18.4

n.s.

ESV (μl)

.64*

.15 to .88

.0175

Y = 0.734x + 10.66

3.13

−14.1 to 20.4

n.s.

SV (μl)

.27

−.33 to .72

.3687

Y = 0.2637x + 19.62

−3.44

−19.7 to 12.8

n.s.

CO (μl)

.27

−.33 to .71

.3757

Y = 0.2304x + 9.395

−1.80

−8.5 to 4.9

n.s.

HR (bpm)

.92*

.76 to .98

<.0001

Y = -0.08216x + 43

4.76

−26.0 to 35.5

n.s.

  1. ESV End-Systolic Volume, EDV End-diastolic Volume, SV Stroke Volume, EF Ejection Fraction, FS Fractional Shortening, CO Cardiac Output, HR Heart Rate, LOA Limits of Agreement. *Data in bold are statistically significant