Table 1 Overview of predicted vs. in vivo measurements across all technique. Dashes indicate unavailable data.

From: Predicting and comparing three corrective techniques for sagittal craniosynostosis

 

2 SAC

3 SAC

MSC [Thomas et al., 2015]

 

Clinical data

Prediction data

Clinical data

Prediction data

Clinical data

Prediction data

 

n:

10

1

8

1

34

1

 

(%) Male:

80

1

50

1

N/A

1

 

Preoperative

Age (months):

4.9 ± 1.3

N/A

4.1 ± 0.7

N/A

6.0 ± 3.1–9.5

N/A

 

Mean length (mm):

148.5 ± 6.1

N/A

150.5 ± 9.9

N/A

-

N/A

 

Mean width (mm):

114.3 ± 5.7

N/A

111.5 ± 5.6

N/A

-

N/A

 

Mean circumference (mm):

455.3 ± 68.0

N/A

457.2 ± 27

N/A

-

N/A

 

Mean intracranial volume (ml):

800.9 ± 102.1

N/A

800.8 ± 88.6

N/A

-

N/A

 

Mean cephalic index:

76.9 ± 2.7

N/A

74 ± 3.4

N/A

65.7 ± 4.7

N/A

 

Postoperative:

Age (months):

10.9 ± 1.3

9.0

10.6 ± 0.3

9.0

12

9.0

12.0

Mean length (mm):

162.5 ± 8.0

143.3

165.2 ± 6.1

142.4

-

143.2

143.4

Mean width (mm):

129.8 ± 5.0

112.5

129.1 ± 6.6

113.6

-

112.9

116.2

Mean circumference (mm):

486.5 ± 59.4

397.3

429.0 ± 107.0

397.2

-

395.5

416.8

Mean intracranial volume (ml):

1089.2 ± 144.9

829.5

1131.2 ± 130.5

829.5

-

817.4

1007.0

Mean cephalic index:

79.9 ± 2.9

78.5

78.2 ± 4.5

79.7

73.3 ± 5.2

78.8

81.1

Follow up

Age (months):

37.15 ± 2.0

36.0

37.6 ± 1.3

36.0

60

36

60

Mean length (mm):

176.9 ± 9.3

163.8

178.8 ± 8.8

163.4

-

155.8

155.1

Mean width (mm):

135.1 ± 5.4

122.3

132.7 ± 6.4

121.2

-

122.3

124.7

Mean circumference (mm):

512.4 ± 35.4

454.4

523.2 ± 37.0

453.3

-

429.4

437.0

Mean intracranial volume (ml):

1245.0 ± 166.8

1261.0

1239.0 ± 133.8

1261.0

-

1240.4

1376.9

Mean cephalic index:

76.4 ± 2.5

74.6

74.3 ± 3.8

74.1

71.5 ± 4.3

78.4

80.3

  1. The pre-operative FE model used for this study was at the age of 4 months with skull length, width, circumference, ICV and cephalic index of 137.2 mm, 108.1 mm, 430.6 mm, 659.9 ml, 78.7 respectively. NA at the pre-operative stage for prediction data corresponds to the initial FE model that was the same model across all techniques that was then reconstructed to replicate each technique i.e. predicted the shape at different ages.
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