From: A deep learning approach for dental implant planning in cone-beam computed tomography images
Parameters | Jaws | Regions | Paired differences | t | df | Sig (2-tailed) | ||||
---|---|---|---|---|---|---|---|---|---|---|
Mean | SD | Standard error mean | 95% CI of the difference | |||||||
Lower | Upper | |||||||||
Bone  height | Mandibula | Anterior | − 5.79 | 6.11 | 0.89 | − 7.58 | − 3.99 | − 6.49 | 46 |  < 0.001 |
 |  | Premolar | − 9.50 | 8.42 | 2.66 | − 15.52 | − 3.48 | − 3.57 | 9 | 0,006 |
 |  | Molar | − 1.02 | 4.99 | 0.66 | − 2.35 | 0.30 | − 1.55 | 56 | 0,126 |
 | Maxilla | Anterior | − 2.05 | 7.35 | 0.77 | − 3.58 | − 0.52 | − 2.66 | 90 | 0,009 |
 |  | Premolar | 1.64 | 3.07 | 0.28 | 1.08 | 2.20 | 5.81 | 117 |  < 0.001 |
 |  | Molar | − 0.03 | 4.04 | 0.39 | − 0.81 | 0.75 | − 0.08 | 104 | 0,938 |
Bone  thickness | Mandibula | Anterior | − 1.35 | 1.15 | 0.17 | − 1.68 | − 1.00 | − 8.01 | 46 |  < 0.001 |
 |  | Premolar | − 4.04 | 7.62 | 0.97 | − 5.99 | − 2.09 | − 4.14 | 60 |  < 0.001 |
 |  | Molar | − 1.46 | 1.46 | 0.19 | − 1.85 | − 1.07 | − 7.53 | 56 |  < 0.001 |
 | Maxilla | Anterior | − 5.28 | 8.42 | 0.84 | − 6.95 | − 3.60 | − 6.26 | 99 |  < 0.001 |
 |  | Premolar | − 2.20 | 1.75 | 0.16 | − 2.52 | − 1.89 | − 13.68 | 117 |  < 0.001 |
 |  | Molar | − 5.07 | 6.41 | 0.61 | − 6.28 | − 3.86 | − 8.29 | 109 |  < 0.001 |