## 2 Materials and Methods
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Material** & **Manufacturer** & **Classification** & **Main Components** \\ \hline \multirow{3}{*}{V-Print Model} & \multirow{3}{*}{VOCO} & \multirow{3}{*}{Light-curing resin} & Urethane dimethacrylate, 2-hydroxyethyl \\  & & & methacrylate, triethylene glycol dimethacrylate, \\  & & & diphenyl phosphine oxyde, \\  & & & oxidelated hydroxytoluene. \\ \hline \multirow{3}{*}{Vita Enamic} & \multirow{3}{*}{VITA} & \multirow{3}{*}{Polymer-filled hybrid} & 86 wt\% ceramic (silicon dioxide, aluminum oxide, \\  & & & sodium oxide, potassium oxide, boron trioxide, \\  & & & zirconia, calcium oxide), \\  & & & ceramic & 14 wt\% organic polymer (urethane \\  & & & dimethacrylate—UDMA; triethylene glycol \\  & & & dimethacrylate—TEGDMA) \\ \hline \multirow{2}{*}{Irix® Max} & \multirow{2}{*}{DWS} & Ceramic-filled hybrid & \multirow{2}{*}{42 wt\% of ceramic} \\  & & composite & & \\ \hline \multirow{3}{*}{Panavia SA} & \multirow{3}{*}{Kuraray Noritake} & \multirow{3}{*}{Dual-resin cement} & Bis-GMA, TEGDMA, aromatic and aliphatic \\  & & & multifunctional monomer, accelerators, \\ \cline{1-1}  & & & dl-Camphoroquinone, surface-treated barium \\ \cline{1-1}  & & & glass, fluoroaluminosilicate glass, fine particulate \\ \hline \hline \end{tabular}
\end{table} 
Table 1: General description of the materials used in the present study. To evaluate linear adaptation, a uniform 4 \(\times\) 4 grill, for a total of eight slices--four in the ZY and four in the ZX axes--was applied on all samples. Two trained, blinded, and calibrated operators performed, using the \"linear distance function\", five measurements for each slice at 400% magnification. Three measurements were taken in the external margin, two under the cusps and one in the central area, for a total of 40 measurements on each sample (16 regarding the marginal adaptation and 24 regarding the internal adaptation). All data were collected in microns (mm) and submitted for statistical analysis [8; 30]. An exemplificative workflow is shown in Figure 2A-C.  
Figure 1: (**A–C**). Digital workflow on Mimics to obtain volumetric interfacial adaptation volume. (**A**) Voids (pink) inside the cement layer; (**B**) cement volume (light blue) between resin model and restoration; (**C**) total volume (yellow) from internal voids and cement layer. Figure 2: (**A–C**). Digital workflow on Mimics to obtain linear internal and external adaptation values. (**A**) Slice with five measurements: two in the external margins, two under the cusps, and one in the central area. (**B**) is a magnification of (**A**), showing how the measurements were taken. (**C**) represents all measurements per slice both external and internal. All values, expressed in mm, were then converted to \(\upmu\)m.  
Shapiro-Wilk test revealed that the data were normally distributed. A one-way ANOVA and post hoc Bonferroni tests were conducted to investigate the impact of CAM technology on volumetric and linear adaptation. The level of significance was set at 95% (\(p\) = 0.05). All the analysis were performed with SAS Statistics Software v.9.4 (SAS Institute, Cary, NC, USA).