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Table 5 Concordance correlation coefficients (CCC) comparing fitted and simulated ve using different models and dependent parameters

From: ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies

      

CCC for ve (simulated) vs. ve (fitted)

 

Generating model

Fitting model

Time resolution (s)

SNR

Dependent parameter

Ktrans = 0.01

0.02

0.05

0.1

0.2

0.35

Tofts

Tofts

0.5

5

Ktrans

0.71

0.96

1.00

1.00

0.94

0.97

  

0.5

100

Ktrans

1.00

1.00

1.00

1.00

1.00

1.00

  

6

5

Ktrans

0.33

0.52

0.68

0.63

0.65

0.68

  

6

100

Ktrans

0.95

1.00

1.00

1.00

1.00

1.00

     

Ktrans = 0.01

0.02

0.05

0.1

0.2

0.35

Ex-Tofts

Ex-Tofts

0.5

5

Ktrans

0.67

0.86

0.87

0.80

0.66

0.54

  

0.5

100

Ktrans

1.00

1.00

1.00

1.00

1.00

1.00

  

6

5

Ktrans

0.22

0.40

0.48

0.47

0.35

0.35

  

6

100

Ktrans

0.95

1.00

1.00

1.00

0.93

0.74

     

vp = 0.001

0.02

0.05

0.1

0.2

0.5

  

0.5

5

vp

0.74

0.73

0.69

0.71

0.73

0.70

  

0.5

100

vp

1.00

1.00

1.00

1.00

1.00

1.00

  

6

5

vp

0.38

0.38

0.36

0.36

0.32

0.32

  

6

100

vp

0.92

0.94

0.93

0.93

0.93

0.94

     

Ktrans = 0.01

0.02

0.05

0.1

0.2

0.35

2CXM

2CXM

0.5

5

Ktrans

0.51

0.52

0.29

0.19

0.12

0.06

  

0.5

100

Ktrans

0.97

0.97

0.93

0.84

0.70

0.49

  

6

5

Ktrans

0.17

0.27

0.24

0.15

0.06

0.03

  

6

100

Ktrans

0.81

0.88

0.73

0.46

0.23

0.10

     

vp = 0.001

0.02

0.05

0.1

0.2

0.5

  

0.5

5

vp

0.09

0.15

0.24

0.36

0.41

0.37

  

0.5

100

vp

0.50

0.83

0.88

0.91

0.87

0.86

  

6

5

vp

0.11

0.12

0.14

0.16

0.21

0.19

  

6

100

vp

0.23

0.41

0.49

0.55

0.59

0.63

     

Fp = 0.5

1

5

   
  

0.5

5

Fp

0.19

0.24

0.31

   
  

0.5

100

Fp

0.68

0.81

0.90

   
  

6

5

Fp

0.14

0.15

0.17

   
  

6

100

Fp

0.40

0.48

0.54

   

FXR

FXR

0.5

5

Ktrans

0.37

0.41

0.43

0.48

0.52

0.46

  

0.5

100

Ktrans

0.90

0.92

0.96

0.93

0.93

0.94

  

6

5

Ktrans

0.20

0.23

0.25

0.24

0.23

0.23

  

6

100

Ktrans

0.63

0.76

0.80

0.81

0.74

0.82

     

τi = 0.1

0.5

2

   
  

0.5

5

Ï„i

0.41

0.45

0.44

   
  

0.5

100

Ï„i

0.94

0.93

0.92

   
  

6

5

Ï„i

0.24

0.23

0.22

   
  

6

100

Ï„i

0.76

0.75

0.73

   
  1. 100 curves for each model and fixed dependent parameter were generated as described in the text and Table 2. ve values simulated are defined in Table 2. The CCC was calculated from the ve (simulated) vs. ve (fitted) . ve values from which CCCs were calculated were segregated according to the dependent parameter (Ktrans, vp or Fp). A value of 1 shows near-perfect concordance, while 0 represents a low concordance relationship