Fogorvosi szemle, 2021 (114. évfolyam, 1-4. szám)
2021-12-01 / 4. szám
FOGORVOSI SZEMLE 114. évf. 4. sz. 2021. n 175 Table 5 Descriptive statistics of the maximum positive and negative deviation limits of the meshes Morphological region Maximum positive deviation limits (mm)Maximum negative deviation limits (mm) MinimumMaximum Mean SD Minimum Maximum Mean SD Total face 5.84 5.96 5.9 0.08–5.04 –4.74 –4.89 0.21 Upper face 5.68 5.98 5.87 0.16–4.74 –3.04 –3.98 0.86 Lower face 5.62 5.84 5.7 0.15–5.04 –2.53 –3.83 1.25 Nose 5.6 5.98 5.84 0.21–4.74 –3.94 –4.49 0.7 Upper lip 5.62 5.84 5.71 0.11–2.94 –2.4 –2.67 0.27 Lower lip 2.31 2.44 2.37 0.09–5.04 –3.47 –4.25 1.11 Chin 0.46 1.48 0.97 0.72–3.94 –3.38 –3.66 0.39 Table 6 Descriptive statistics of the mean limits of the meshes Morphological regions Minimum Maximum Mean SD Total face 0.34 0.7 0.52 0.25 Upper face 0.29 1.31 0.77 0.51 Lower face 0.4 0.95 0.67 0.38 Nose 0.89 1.17 1.03 0.14 Upper lip 3.03 3.38 3.25 0.19 Lower lip –1.48–0.95 –1.21 0.37 Chin –1.73–1.59 –1.66 0.09 Table 7 Deviation magnitude of the facial soft tissue landmarks Landmark Deviation mean (mm)SD Endocanthion (right)End r –0.4 1.09 Endocanthion (left)End l –0.1 1.03 Soft tissue nasin N –0.23 0.78 Alar point (right) Alarr 1.26 0.92 Alar point (left) Alarl 0.85 0.99 Alar curvature (right)Ac r 1.36 0.69 Alar curvature (left)Ac l 1.14 0.83 Pronasale prn 1.93 0.12 Subnasale Sn 3.03 1.32 Chelion (right) Chr 0.63 0.78 Chelion (left) Chl 0.57 0.44 Labiale superius Ls 3.12 1.23 Labiale inferius Li –3 1.77 Stomion Sto 2.58 1.28 Sublabiale Sl –2 1.22 Soft tissue pogonion Pog ́ –2.5 1.94 Soft tissue menton Me ́ –1.3 1.76 it has become possible to standardize image registration and to reduce errors in head orientation [11 , 4 ]. Some studies suggested that the flaws associated with reference landmarks on 3D-facial images were in sub-millimetre dimension. The facial soft-tissue landmarks were reported as having moderate to high reliability and reproducibility, and the 3D-facial scanning systems could be useful in providing accurate images [9 , 37 ]. Further more, Jung et al. concluded that a structured light scan ning system proved to be a useful tool to evaluate the
