Table 2. Mean (mm) and Standard Deviation (SD) of linear measurements for dry mandibles compared to cone-beam computed tomography (CBCT) images with different voxel sizes [analysis of variance (ANOVA) for repeated measures and Dunnett’s tests].
Physical measurement | Multiplanar images | 3D model images | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable | G1 | G2 | G3 | G4 | G5 | P | |||||||||
0.2 voxel | 0.4 voxel | 0.2 voxel | 0.4 voxel | ||||||||||||
(n=10) | (n=10) | (n=10) | (n=10) | (n=10) | |||||||||||
Mean | SD | Mean | SD | MD | Mean | SD | MD | Mean | SD | MD | Mean | SD | MD | ||
CR – CL | 101.03 | 3.98 | 101.15 | 4.15 | 0.11 | 100.97 | 4.01 | -0,06 | 101.12 | 4.06 | 0,09 | 101.18 | 4.26 | 0.14 | 0.697 |
MfR – MfL | 49.17A | 3.03 | 47.91B | 2.98 | -1.26 | 47.91B | 2.81 | -1,26 | 47.16B | 2.64 | -2,01 | 47.76B | 3.01 | -1.42 | 0.000* |
CR – MfR | 76.43A | 4.71 | 76.50A | 4.42 | 0.07 | 76.24A | 4.17 | -0,18 | 75.59B | 4.60 | -0,84 | 75.51B | 4.49 | -0.92 | 0.000* |
CR – MfL | 104.41A | 4.63 | 103.82B | 4.79 | -0.58 | 103.56B | 4.26 | -0,85 | 102.76B | 4.38 | -1,64 | 103.10B | 4.47 | -1.31 | 0.000* |
CL – MfL | 75.16A | 3.99 | 75.66A | 3.64 | 0.50 | 75.69A | 3.58 | 0,53 | 74.48B | 3.46 | -0,68 | 74.25B | 3.30 | -0.91 | 0.000* |
CL – MfR | 102.65A | 3.92 | 102.44A | 4.02 | -0.21 | 102.33A | 3.76 | -0,32 | 101.29B | 3.90 | -1,36 | 101.38B | 3.81 | -1.27 | 0.000* |
MCo – LCoR | 21.42A | 2.43 | 21.68A | 2.28 | 0.26 | 21.69A | 2.28 | 0,26 | 19.61B | 2.08 | -1,81 | 20.07B | 2.19 | -1.35 | 0.000* |
MCo – LCoL | 21.37A | 2.05 | 21.28A | 1.67 | -0.09 | 21.02A | 1.68 | -0,34 | 19.31B | 1.82 | -2,06 | 19.14B | 1.74 | -2.23 | 0.000* |
LCoR – LCoL | 124.25A | 4.05 | 124.00A | 4.03 | -0.25 | 123.78A | 4.10 | -0,47 | 122.73B | 4.21 | -1,53 | 122.74B | 4.04 | -1.51 | 0.000* |
MCoR – MCoL | 83.87 | 3.09 | 84.07 | 2.86 | 0.20 | 84.13 | 2.97 | 0,26 | 84.07 | 2.81 | 0,2 | 83.76 | 2.98 | -0.11 | 0.251 |
SD, Standard Deviation; MD, Mean difference
Statistically significant
Different letters represent statistically significant differences (Dunnett’s test)