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<P>Original Articles </P>

<Part>
<H1>AESTETHIC DENTISTRY </H1>

<Link>
<P>EVALUATION OF POSSIBLE DISCOLORATION ON VITA CLASSICAL SHADE TABS USED DAILY COMPARED TO NEW REFERENCE SHADE TABS </P>

<Sect>
<P>Dóra Fehér1a*
<Link><Figure>

<ImageData src="images/Article_11_1-2_3_img_0.jpg"/>
</Figure>
</Link>
     ,Judit Borbély1b
<Link><Figure>

<ImageData src="images/Article_11_1-2_3_img_0.jpg"/>
</Figure>
</Link>
     , Péter Hermann1c </P>
</Sect>

<Link>
<Sect><Figure>

<ImageData src="images/Article_11_1-2_3_img_0.jpg"/>
</Figure>
</Sect>
</Link>

<P>¹Department of Prosthodontics, Faculty of Dentistry, Semmelweis University, Szentkirályi utca 47, Budapest, 1088-Hungary </P>

<P>aDMD, Assistant Lecturer; e-mail: 
<Link>dori.bpg@gmail.com</Link>
; ORCIDiD: 
<Link>https://orcid.org/0000-0002-3268-2478 </Link>
bDMD, PhD, Associate Professor; e-mail: 
<Link>borbely.judit@semmelweis.hu</Link>
; ORCIDiD: 
<Link>https://orcid.org/0000-0003-3064-8724 </Link>
cDMD, PhD, Professor and Head; e-mail: 
<Link>hermann.peter@semmelweis.hu</Link>
; ORCIDiD: 
<Link>https://orcid.org/0000-0002-9148-0139 </Link>
</P>
</Link>

<P><Figure>

<ImageData src="images/Article_11_1-2_3_img_1.jpg"/>
</Figure>

<Link>https://doi.org/10.25241/stomaeduj.2024.11(1-2.art.</Link>
3</P>

<Sect>
<P>ABSTRACT </P>
</Sect>

<P>Introduction Visual shade selection is still a very popular way of shade selection. This method is subjective with uncertain factors like the material of the conventional shade tab and restoration is different, the companies put different colored materials on the market under the same shade tab code. Besides these aggravating factors, the shade tabs can go under discoloration over time causing further difficulty in proper shade determination. This study aims to evaluate the extent of discoloration of the regularly used shade tabs by students in the Department of Prosthodontics. Methodology Six shades (A1, A2, A3, C2, C3, D2)  were selected from nine regularly used VITA Classical shade guides (54 shade tabs in total) and compared visually and digitally (VITA Easyshade V spectrophotometer) to a corresponding brand-new reference guide. During the digital comparison L*a*b* values were recorded and the color difference (ΔE00) was calculated with the CIEDE2000  formula. Results 38 out of the 54 shade tabs were above the perceptibility threshold (0.8 ΔE00) and visual color changes were noticed as well. Unacceptable color differences ( above 1.8  ΔE00) were found in 19 cases. Only 16 shade tabs did not show visible and clinically relevant measurable discoloration. Conclusion Conventional shade tabs are worn off and go through discoloration over time. In this study, 70.4 % of the regularly used shade tabs went through noticeable discoloration. It is recommended to keep one new shade guide to verify the color of the regularly used shade tabs in the dental office. </P>

<Sect>
<P>KEYWORDS </P>
</Sect>

<P>Prosthodontics; Dental aesthetic; Color; Spectrophotometry; Discoloration. </P>

<Sect>
<P>1. INTRODUCTION </P>

<P>The success of dental aesthetic rehabilitation depends on the correct tooth shade selection. The color of the restoration is an important factor in patient satisfaction [1,2]. In most cases, the tooth shade determination is still carried out visually with shade tabs. The restoration materials are rapidly developing, new materials appear on the market every year until the most frequently used shade guides were put on the market before the noughties. (Fig. 1)  The VITA Classical shade guide (VC) (before VITA Lumin Vacuum, VITA Zahnfabrik, Bad Säckingen, Germany) in 1956, the Chromoscop (Ivoclar-Vivadent, Amherst, NY) in 1990, and the VITA 3D Master (VITA Zahnfabrik, Bad Sackingen, Germany) in 1998 appeared on the market [2-4]. The material, translucency, and thickness of the restorations and the conventional shade guides are not always the same. Furthermore, the different companies carry out different shades under the same shade tab code [5]. Besides these aggravating factors that might lead to </P>

<P>unsuccess in shade determination, the shade tabs are disinfected daily to prevent cross contamination which can lead to discoloration and worsen the outcome of the shade determination as well [6,7]. </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_2.jpg"/>
</Figure>

<P>Figure 1. New VITA Classical and 3D Master shade guides (left), old VITA Classical shade guides (right). </P>

<P>This present study aims to compare the color parameters of VC shade tabs in daily use at the Department of Prosthodontics, Semmelweis University with brand-new, reference VC shade tabs to detect color changes due to the effect of daily use which might lead to inaccuracy in shade determination. </P>
</Sect>

<P><Figure>

<ImageData src="images/Article_11_1-2_3_img_3.jpg"/>
</Figure>
OPEN ACCESS This is an Open Access article under the CC BY-NC 4.0 license. </P>

<Sect>
<P>Peer-Reviewed Article </P>
</Sect>

<P>Citation: Fehér D, Borbély J, Hermann P. Evaluation of possible discoloration on VITA classical shade tabs used daily compared to new reference shade </P>

<Sect>
<P>tabs. Stoma Edu J. 2024;11(1-2):42-50. </P>
</Sect>

<P>Received: February 14, 2024; Revised: February 25, 2024; Accepted: July 18, 2024; Published: August 08, 2024. </P>

<P>*Corresponding author: Dr. Dóra Fehér, DMD, PhD, Department of Prosthodontics, Faculty of Dentistry, Semmelweis University, Szentkirályi utca 47, </P>

<P>Budapest, 1088, Hungary, Tel.: +3614591500/59315; Fax: +3614591500; e-mail:
<Link>dori.bpg@gmail.com </Link>
</P>

<P>Copyright: © 2022 the Editorial Council for the Stomatology Edu Journal. </P>

<P>42 42-50 </P>

<P>2. MATERIALS AND METHODS </P>

<P>Selection of the shade tabs: </P>

<P>Nine layered ceramic VC shade guide (VITA Zahnfabrik, Bad Säckingen, Germany) was selected randomly from the practice rooms of the Department of Prosthodontics, Semmelweis University, the shade tabs are used by students (manufactured 1 guide in 2010, 4 guides in 2012 1 guide in 2013, and 3 guides in 2015 and all of them are original and produced by VITA Zahnfabrik). The reference was a brand-new VC shade guide provided by the manufacturer and manufactured in 2021. Based on a previous study the A1, A2, A3, C2, C3, and D2 are the most frequent natural tooth shades [8]. In this present study, these six shades were evaluated. (Fig. 2) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_4.jpg"/>
</Figure>

<P>Figure 2. The six evaluated shade from VITA Classical shade tab. </P>

<P>Visual shade selection: </P>

<P>To provide standard lighting Smile Lite lamp (Smile Line, Switzerland) was used for visual shade determination. The Smile Lite lamp simulated the optimal 5500 K illumination for the correct tooth shade selection [9]. (Fig. 3) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_5.jpg"/>
</Figure>

<P>Figure 3. Smile lite lamp (5500 K). </P>

<P>The visual shade selection was evaluated on the fact of the color difference between the used and the reference shade tabs but the degree of the color difference was not recorded. The observers, two dental students and one dentist who is an expert in dental shade selection went through the Ichihara test before the visual shade selection. (Fig. 4) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_6.jpg"/>
</Figure>

<P>Figure 4. Visual comparison of the used and reference shade tabs. </P>

<P>Digital shade determination: </P>

<P>For digital comparison, a VITA Easyshade V spectrophotometer (VITA Zahnfabrik, Bad Säckingen, Germany) was used. The standardization of the lighting conditions was essential because the spectrophotometer measured the reflected light for this the shade tabs were evaluated in a dark box, through a little hole the same size as the tip of the spectrophotometer. To provide a standard position the shade tab holder was used. In the holder, the shade tab was positioned centrally with the help of a custom-made deep-drawn foil case (positioning foil). The holder with the positioning foil was placed in the dark box under the hole. (Fig. 5) To standardize the position of the spectrophotometer an acrylic stand was made to hold the device. </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_7.jpg"/>
</Figure>

<P>Figure 5. Positining the shade tabs . </P>

<P>One point measurement was made on every shade tab after calibration based on the instructions of the manufacturer. Every shade tab was measured three times. The spectrophotometer measures L*a*b* values. (Fig. 6) The L*a*b* values were recorded in an Excel file. </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_8.jpg"/>
</Figure>

<P>Figure 6. The VITA Easyshade V spectrophotometer measures L*a*b* values. </P>

<P>Calculating the color difference: </P>

<P>The ΔE shows the color difference between the used and the corresponding reference shade tabs. The color difference (ΔE00) was calculated with the CIEDE2000 formula. [10] </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_9.jpg"/>
</Figure>

<P>Where ∆L’, ∆C’, and ∆H are the differences in lightness, chroma, and hue. ∆R is an interactive term between hue and chroma differences. The weighting functions for the lightness, chroma, and hue components, respectively shown by SL, SC, SH. The kL, kc and kh parametric factors are correction </P>

<P>Original Articles </P>

<Sect>
<P>42-50 </P>
</Sect>

<P>43 </P>

<Sect>
<P>Fehér D, et al. </P>
</Sect>

<P>Original Articles </P>

<Sect>
<P>terms for experimental conditions. In the present study kL=kc=kh=1. [11,12] Based on a previous study wherein the Semmelweis University participated in the color difference was not noticeable to half of the observers between 0 and 0.8 ΔE00 [13]. Between </P>

<P>0.8 and 1.8 ΔE00 half of the observers noticed the color difference, but it was considered acceptable, but above 1.8 ΔE00 the color difference was unacceptable. Correspondingly,  in this present study, the perceptibility threshold (PT50:50%) is defined in 0.8 ΔE00 and the acceptability threshold (AT50:50%) is in 1.8 ΔE simultaneously. Based on the AT50:50% and PT50:50% the color difference of the shade tabs were divided into three groups: invisible, acceptable, and unacceptable color differences.  (Fig. 7) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_10.jpg"/>
</Figure>

<P>Figure 7. The shade tabs are divided into three groups based on the perceptibility and acceptability thresholds . </P>

<P>3. RESULTS </P>

<P>The ΔE00 was calculated based on the L*a*b* values. (Table 1) </P>

<P>Table 1. Measured L*a*b and calculated ΔE values in the case of all shades and samples. </P>

<Table>
<TR>
<TH>Sample 1 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TH>A1 </TH>

<TD>83.4 </TD>

<TD>-0.3 </TD>

<TD>14.2 </TD>

<TD>0.8067 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>-0.3 </TD>

<TD>14.2 </TD>

<TD>0.8090 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>-0.3 </TD>

<TD>14.2 </TD>

<TD>0.8924 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.8360 </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>81.3 </TD>

<TD>1.8 </TD>

<TD>19.2 </TD>

<TD>1.5699 </TD>
</TR>

<TR>
<TH/>

<TD>81.5 </TD>

<TD>1.8 </TD>

<TD>19.4 </TD>

<TD>1.7837 </TD>
</TR>

<TR>
<TH/>

<TD>81.6 </TD>

<TD>1.8 </TD>

<TD>19.4 </TD>

<TD>1.9317 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.7618 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>76.6 </TD>

<TD>2.1 </TD>

<TD>19.1 </TD>

<TD>3.2300 </TD>
</TR>

<TR>
<TH/>

<TD>76.5 </TD>

<TD>2.1 </TD>

<TD>19.3 </TD>

<TD>2.9667 </TD>
</TR>

<TR>
<TH/>

<TD>76.5 </TD>

<TD>2.1 </TD>

<TD>19.4 </TD>

<TD>3.0437 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>3.0802 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>73.7 </TD>

<TD>1.3 </TD>

<TD>17.7 </TD>

<TD>0.4014 </TD>
</TR>

<TR>
<TH/>

<TD>73.7 </TD>

<TD>1.3 </TD>

<TD>17.7 </TD>

<TD>0.4000 </TD>
</TR>

<TR>
<TH/>

<TD>73.6 </TD>

<TD>1.3 </TD>

<TD>17.6 </TD>

<TD>0.4582 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.4199 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>70.3 </TD>

<TD>2.4 </TD>

<TD>19.2 </TD>

<TD>1.6633 </TD>
</TR>

<TR>
<TH/>

<TD>70.5 </TD>

<TD>2.4 </TD>

<TD>19.2 </TD>

<TD>1.7519 </TD>
</TR>

<TR>
<TH/>

<TD>70.4 </TD>

<TD>2.4 </TD>

<TD>19.2 </TD>

<TD>1.6076 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.6743 </TD>
</TR>

<TR>
<TH>D2 </TH>

<TD>77.2 </TD>

<TD>-0.4 </TD>

<TD>12.1 </TD>

<TD>1.1648 </TD>
</TR>

<TR>
<TH/>

<TD>77.3 </TD>

<TD>-0.3 </TD>

<TD>12.2 </TD>

<TD>1.0154 </TD>
</TR>

<TR>
<TH/>

<TD>77.3 </TD>

<TD>-0.3 </TD>

<TD>12.3 </TD>

<TD>1.3272 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.1691 </TD>
</TR>
</Table>

<Table>
<TR>
<TH>Sample 2 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TH>A1 </TH>

<TD>82.7 </TD>

<TD>-0.2 </TD>

<TD>14.6 </TD>

<TD>0.4355 </TD>
</TR>

<TR>
<TH/>

<TD>82.5 </TD>

<TD>-0.2 </TD>

<TD>14.5 </TD>

<TD>0.2686 </TD>
</TR>

<TR>
<TH/>

<TD>82.6 </TD>

<TD>-0.2 </TD>

<TD>14.4 </TD>

<TD>0.4900 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.3981 </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>79 </TD>

<TD>1.7 </TD>

<TD>14.2 </TD>

<TD>0.1855 </TD>
</TR>

<TR>
<TH/>

<TD>78.9 </TD>

<TD>1.7 </TD>

<TD>14.2 </TD>

<TD>0.2097 </TD>
</TR>

<TR>
<TH/>

<TD>78.9 </TD>

<TD>1.7 </TD>

<TD>14.2 </TD>

<TD>0.1506 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.1819 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>83.4 </TD>

<TD>1.2 </TD>

<TD>14.2 </TD>

<TD>0.4972 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>1.2 </TD>

<TD>14.2 </TD>

<TD>0.3595 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>1.2 </TD>

<TD>14.2 </TD>

<TD>0.4335 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.4301 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>83.4 </TD>

<TD>1.6 </TD>

<TD>14.2 </TD>

<TD>0.3174 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>1.6 </TD>

<TD>14.2 </TD>

<TD>0.4588 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>1.6 </TD>

<TD>14.2 </TD>

<TD>0.2975 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.3579 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>83.4 </TD>

<TD>2.5 </TD>

<TD>14.2 </TD>

<TD>0.6130 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>2.5 </TD>

<TD>14.2 </TD>

<TD>0.5185 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>2.5 </TD>

<TD>14.2 </TD>

<TD>0.3258 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.4857 </TD>
</TR>

<TR>
<TH>D2 </TH>

<TD>83.4 </TD>

<TD>-0.2 </TD>

<TD>14.2 </TD>

<TD>0.4058 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>-0.2 </TD>

<TD>14.2 </TD>

<TD>0.3830 </TD>
</TR>

<TR>
<TH/>

<TD>83.4 </TD>

<TD>-0.3 </TD>

<TD>14.2 </TD>

<TD>0.7483 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.5124 </TD>
</TR>
</Table>

<Table>
<TR>
<TH>Sample 3 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TH>A1 </TH>

<TD>85.5 </TD>

<TD>-0.2 </TD>

<TD>15.7 </TD>

<TD>2.3754 </TD>
</TR>

<TR>
<TH/>

<TD>85.5 </TD>

<TD>-0.2 </TD>

<TD>15.7 </TD>

<TD>2.3530 </TD>
</TR>

<TR>
<TH/>

<TD>85.5 </TD>

<TD>-0.2 </TD>

<TD>15.8 </TD>

<TD>2.5210 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.4165 </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>81 </TD>

<TD>1.9 </TD>

<TD>19.2 </TD>

<TD>1.3592 </TD>
</TR>

<TR>
<TH/>

<TD>81.1 </TD>

<TD>1.8 </TD>

<TD>19.1 </TD>

<TD>1.4678 </TD>
</TR>

<TR>
<TH/>

<TD>81 </TD>

<TD>1.8 </TD>

<TD>19.1 </TD>

<TD>1.4945 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.4405 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>77.2 </TD>

<TD>2.5 </TD>

<TD>20 </TD>

<TD>2.8037 </TD>
</TR>

<TR>
<TH/>

<TD>77.1 </TD>

<TD>2.5 </TD>

<TD>20 </TD>

<TD>2.6280 </TD>
</TR>

<TR>
<TH/>

<TD>77.2 </TD>

<TD>2.4 </TD>

<TD>20 </TD>

<TD>2.6294 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.6870 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>75.3 </TD>

<TD>2 </TD>

<TD>19.9 </TD>

<TD>1.6174 </TD>
</TR>

<TR>
<TH/>

<TD>75.2 </TD>

<TD>2 </TD>

<TD>19.9 </TD>

<TD>1.4395 </TD>
</TR>

<TR>
<TH/>

<TD>75.4 </TD>

<TD>2 </TD>

<TD>19.9 </TD>

<TD>1.6441 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.5670 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>71.2 </TD>

<TD>2.2 </TD>

<TD>19.5 </TD>

<TD>2.4059 </TD>
</TR>

<TR>
<TH/>

<TD>71.4 </TD>

<TD>2.2 </TD>

<TD>19.4 </TD>

<TD>2.5026 </TD>
</TR>

<TR>
<TH/>

<TD>71.6 </TD>

<TD>2.1 </TD>

<TD>19.3 </TD>

<TD>2.5557 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.4881 </TD>
</TR>
</Table>
</Sect>

<Table>
<TR>
<TH>D2 </TH>

<TH>76.7 </TH>

<TH>-0.3 </TH>

<TH>13 </TH>

<TH>0.8542 </TH>

<TH>C3 </TH>

<TH>70.6 </TH>

<TH>2.5 </TH>

<TH>20.6 </TH>

<TH>2.1944 </TH>
</TR>

<TR>
<TH/>

<TD>76.6 </TD>

<TD>-0.2 </TD>

<TD>13.1 </TD>

<TD>0.7166 </TD>

<TD/>

<TD>70.8 </TD>

<TD>2.6 </TD>

<TD>20.7 </TD>

<TD>2.3054 </TD>
</TR>

<TR>
<TH/>

<TD>76.8 </TD>

<TD>-0.3 </TD>

<TD>12.9 </TD>

<TD>1.0045 </TD>

<TD/>

<TD>71 </TD>

<TD>2.6 </TD>

<TD>20.7 </TD>

<TD>2.3658 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.8584 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.2885 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD/>

<TD/>

<TH>D2 </TH>

<TD>76.4 </TD>

<TD>-0.3 </TD>

<TD>13.1 </TD>

<TD>07190 </TD>
</TR>

<TR>
<TH>Sample 4 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TD/>

<TD>76.3 </TD>

<TD>-0.3 </TD>

<TD>13.1 </TD>

<TD>0.5973 </TD>
</TR>

<TR>
<TH>A1 </TH>

<TD>85 </TD>

<TD>-0.3 </TD>

<TD>15.4 </TD>

<TD>2.0014 </TD>
</TR>

<TR>
<TD/>

<TD>76.4 </TD>

<TD>-0.3 </TD>

<TD>13 </TD>

<TD>0.7673 </TD>
</TR>

<TR>
<TH/>

<TD>84.4 </TD>

<TD>-0.3 </TD>

<TD>15.5 </TD>

<TD>1.6376 </TD>
</TR>

<TR>
<TD/>

<TD/>

<TH/>

<TH>Average: </TH>

<TD>0.6946 </TD>
</TR>

<TR>
<TH/>

<TD>84.5 </TD>

<TD>-0.3 </TD>

<TD>15.5 </TD>

<TD>1.8471 </TD>
</TR>

<TR>
<TD/>

<TD/>

<TD/>

<TD/>

<TD/>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.8287 </TD>

<TD>Sample 6 </TD>

<TD>L </TD>

<TD>a </TD>

<TD>b </TD>

<TD>ΔE </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>80.9 </TD>

<TD>1.8 </TD>

<TD>19.2 </TD>

<TD>1.3214 </TD>

<TD>A1 </TD>

<TD>85.1 </TD>

<TD>-0.3 </TD>

<TD>15.4 </TD>

<TD>2.0628 </TD>
</TR>

<TR>
<TH/>

<TD>80.9 </TD>

<TD>1.8 </TD>

<TD>19.1 </TD>

<TD>1.3467 </TD>

<TD/>

<TD>85.1 </TD>

<TD>-0.3 </TD>

<TD>15.4 </TD>

<TD>2.0423 </TD>
</TR>

<TR>
<TH/>

<TD>80.9 </TD>

<TD>1.8 </TD>

<TD>19.1 </TD>

<TD>1.4346 </TD>

<TD/>

<TD>85.1 </TD>

<TD>-0.3 </TD>

<TD>15.4 </TD>

<TD>2.1757 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.3676 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.0963 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>78 </TD>

<TD>1.5 </TD>

<TD>23 </TD>

<TD>1.2772 </TD>

<TD>A2 </TD>

<TD>80.7 </TD>

<TD>1.8 </TD>

<TD>19.2 </TD>

<TD>1.2010 </TD>
</TR>

<TR>
<TH/>

<TD>78 </TD>

<TD>1.5 </TD>

<TD>23 </TD>

<TD>1.0736 </TD>

<TD/>

<TD>80.8 </TD>

<TD>1.8 </TD>

<TD>19.2 </TD>

<TD>1.31.53 </TD>
</TR>

<TR>
<TH/>

<TD>78 </TD>

<TD>1.4 </TD>

<TD>23 </TD>

<TD>1.1257 </TD>

<TD/>

<TD>80.7 </TD>

<TD>1.8 </TD>

<TD>19.2 </TD>

<TD>1.34.69 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.1588 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.2877 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>74.2 </TD>

<TD>1.8 </TD>

<TD>18.9 </TD>

<TD>0.6477 </TD>

<TD>A3 </TD>

<TD>77 </TD>

<TD>2.2 </TD>

<TD>18.9 </TD>

<TD>3.1564 </TD>
</TR>

<TR>
<TH/>

<TD>74.5 </TD>

<TD>1.7 </TD>

<TD>18.7 </TD>

<TD>0.5899 </TD>

<TD/>

<TD>77.2 </TD>

<TD>2.3 </TD>

<TD>19.4 </TD>

<TD>2.6884 </TD>
</TR>

<TR>
<TH/>

<TD>74.5 </TD>

<TD>1.7 </TD>

<TD>18.7 </TD>

<TD>0.7283 </TD>

<TD/>

<TD>77 </TD>

<TD>2.2 </TD>

<TD>19 </TD>

<TD>2.9957 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.6536 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.9468 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>70.6 </TD>

<TD>2.4 </TD>

<TD>20 </TD>

<TD>2.0451 </TD>

<TD>C2 </TD>

<TD>73.7 </TD>

<TD>1.7 </TD>

<TD>18.9 </TD>

<TD>0.4481 </TD>
</TR>

<TR>
<TH/>

<TD>70.4 </TD>

<TD>2.5 </TD>

<TD>20 </TD>

<TD>1.2750 </TD>

<TD/>

<TD>73.8 </TD>

<TD>1.7 </TD>

<TD>19.4 </TD>

<TD>0.6065 </TD>
</TR>

<TR>
<TH/>

<TD>70.4 </TD>

<TD>2.5 </TD>

<TD>20.1 </TD>

<TD>1.2535 </TD>

<TD/>

<TD>73.7 </TD>

<TD>1.8 </TD>

<TD>19 </TD>

<TD>0.5242 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>12557 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.5263 </TD>
</TR>

<TR>
<TH>D2 </TH>

<TD>76.5 </TD>

<TD>0.1 </TD>

<TD>14.1 </TD>

<TD>1.2385 </TD>

<TD>C3 </TD>

<TD>70.3 </TD>

<TD>2.3 </TD>

<TD>19.6 </TD>

<TD>1.7691 </TD>
</TR>

<TR>
<TH/>

<TD>76.7 </TD>

<TD>0.1 </TD>

<TD>14 </TD>

<TD>1.2750 </TD>

<TD/>

<TD>70.2 </TD>

<TD>2.4 </TD>

<TD>19.9 </TD>

<TD>1.7182 </TD>
</TR>

<TR>
<TH/>

<TD>76.4 </TD>

<TD>0.1 </TD>

<TD>14.1 </TD>

<TD>1.2535 </TD>

<TD/>

<TD>70.2 </TD>

<TD>2.4 </TD>

<TD>19.9 </TD>

<TD>1.6544 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.2557 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.7139 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD/>

<TD/>

<TH>D2 </TH>

<TD>76.5 </TD>

<TD>-0.3 </TD>

<TD>12.8 </TD>

<TD>0.6811 </TD>
</TR>

<TR>
<TH>Sample 5 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TD/>

<TD>76.4 </TD>

<TD>-0.2 </TD>

<TD>13.2 </TD>

<TD>0.6761 </TD>
</TR>

<TR>
<TH>A1 </TH>

<TD>84.6 </TD>

<TD>-0.7 </TD>

<TD>14.3 </TD>

<TD>1.6811 </TD>
</TR>

<TR>
<TD/>

<TD>76.5 </TD>

<TD>-0.3 </TD>

<TD>12.8 </TD>

<TD>0.7901 </TD>
</TR>

<TR>
<TH/>

<TD>84.5 </TD>

<TD>-0.8 </TD>

<TD>14.1 </TD>

<TD>1.6676 </TD>
</TR>

<TR>
<TD/>

<TD/>

<TH/>

<TH>Average: </TH>

<TD>0.7158 </TD>
</TR>

<TR>
<TH/>

<TD>84.5 </TD>

<TD>-0.8 </TD>

<TD>14.2 </TD>

<TD>1.6853 </TD>
</TR>

<TR>
<TD/>

<TD/>

<TD/>

<TD/>

<TD/>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.6780 </TD>

<TD>Sample 7 </TD>

<TD>L </TD>

<TD>a </TD>

<TD>b </TD>

<TD>ΔE </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>82.6 </TD>

<TD>1.2 </TD>

<TD>22.8 </TD>

<TD>3.4936 </TD>

<TD>A1 </TD>

<TD>84 </TD>

<TD>-0.4 </TD>

<TD>15 </TD>

<TD>1.3043 </TD>
</TR>

<TR>
<TH/>

<TD>82.6 </TD>

<TD>1.2 </TD>

<TD>22.8 </TD>

<TD>3.5478 </TD>

<TD/>

<TD>84.2 </TD>

<TD>-0.3 </TD>

<TD>15.2 </TD>

<TD>1.4443 </TD>
</TR>

<TR>
<TH/>

<TD>82.4 </TD>

<TD>1.1 </TD>

<TD>22.7 </TD>

<TD>3.5342 </TD>

<TD/>

<TD>83.9 </TD>

<TD>-0.4 </TD>

<TD>15 </TD>

<TD>1.3509 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>3.5252 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.3665 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>79.4 </TD>

<TD>1.3 </TD>

<TD>23.2 </TD>

<TD>0.2823 </TD>

<TD>A2 </TD>

<TD>82.2 </TD>

<TD>1.6 </TD>

<TD>19.4 </TD>

<TD>2.1999 </TD>
</TR>

<TR>
<TH/>

<TD>79.5 </TD>

<TD>1.3 </TD>

<TD>23.2 </TD>

<TD>0.1972 </TD>

<TD/>

<TD>82.3 </TD>

<TD>1.8 </TD>

<TD>19.7 </TD>

<TD>2.3416 </TD>
</TR>

<TR>
<TH/>

<TD>79.5 </TD>

<TD>1..3 </TD>

<TD>23.5 </TD>

<TD>0.2548 </TD>

<TD/>

<TD>82.1 </TD>

<TD>1.7 </TD>

<TD>19.4 </TD>

<TD>2.2419 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.2447 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.2611 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>73.1 </TD>

<TD>1.4 </TD>

<TD>18.5 </TD>

<TD>0.5001 </TD>

<TD>A3 </TD>

<TD>76.6 </TD>

<TD>2.2 </TD>

<TD>19.5 </TD>

<TD>3.1270 </TD>
</TR>

<TR>
<TH/>

<TD>73.4 </TD>

<TD>1.4 </TD>

<TD>18.5 </TD>

<TD>0.5287 </TD>

<TD/>

<TD>76.3 </TD>

<TD>2.4 </TD>

<TD>20 </TD>

<TD>2.9797 </TD>
</TR>

<TR>
<TH/>

<TD>73.2 </TD>

<TD>1.4 </TD>

<TD>18.7 </TD>

<TD>0.4785 </TD>

<TD/>

<TD>76.4 </TD>

<TD>2.4 </TD>

<TD>20 </TD>

<TD>3.0293 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.5024 </TD>

<TD/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>3.0453 </TD>
</TR>
</Table>

<P>Original Articles </P>

<Sect>
<P>42-50 </P>
</Sect>

<P>45 </P>

<Sect>
<P>Fehér D, et al. </P>
</Sect>

<P>Original Articles </P>

<Sect>
<Table>
<TR>
<TH>C2 </TH>

<TH>76 </TH>

<TH>1.5 </TH>

<TH>19.3 </TH>

<TH>1.8827 </TH>
</TR>

<TR>
<TH/>

<TD>75.8 </TD>

<TD>1.6 </TD>

<TD>19.4 </TD>

<TD>1.5868 </TD>
</TR>

<TR>
<TH/>

<TD>76 </TD>

<TD>1.5 </TD>

<TD>19.4 </TD>

<TD>1.8821 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.7839 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>70.5 </TD>

<TD>2.2 </TD>

<TD>19.6 </TD>

<TD>1.9351 </TD>
</TR>

<TR>
<TH/>

<TD>70.7 </TD>

<TD>2.2 </TD>

<TD>19.6 </TD>

<TD>2.0242 </TD>
</TR>

<TR>
<TH/>

<TD>70.5 </TD>

<TD>2.3 </TD>

<TD>19.9 </TD>

<TD>1.8697 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.9430 </TD>
</TR>

<TR>
<TH>D2 </TH>

<TD>75.9 </TD>

<TD>-0.4 </TD>

<TD>12.9 </TD>

<TD>0.5190 </TD>
</TR>

<TR>
<TH/>

<TD>75.7 </TD>

<TD>-0.4 </TD>

<TD>12.8 </TD>

<TD>0.4322 </TD>
</TR>

<TR>
<TH/>

<TD>75.9 </TD>

<TD>-0.3 </TD>

<TD>13.1 </TD>

<TD>0.5414 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.4957 </TD>
</TR>
</Table>

<Table>
<TR>
<TH>D2 </TH>

<TH>77 </TH>

<TH>-0.2 </TH>

<TH>12.3 </TH>

<TH>0.9468 </TH>
</TR>

<TR>
<TH/>

<TD>77 </TD>

<TD>-0.2 </TD>

<TD>12.3 </TD>

<TD>0.7907 </TD>
</TR>

<TR>
<TH/>

<TD>77 </TD>

<TD>-0.2 </TD>

<TD>12.3 </TD>

<TD>1.0962 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.9446 </TD>
</TR>
</Table>

<Table>
<TR>
<TH>Sample 8 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TH>A1 </TH>

<TD>85.6 </TD>

<TD>0.1 </TD>

<TD>16.2 </TD>

<TD>2.6028 </TD>
</TR>

<TR>
<TH/>

<TD>85.6 </TD>

<TD>0.1 </TD>

<TD>16.4 </TD>

<TD>2.6278 </TD>
</TR>

<TR>
<TH/>

<TD>85.5 </TD>

<TD>0 </TD>

<TD>16 </TD>

<TD>2.6098 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.6135 </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>80.3 </TD>

<TD>1.6 </TD>

<TD>18.4 </TD>

<TD>0.8195 </TD>
</TR>

<TR>
<TH/>

<TD>80.4 </TD>

<TD>1.7 </TD>

<TD>18.4 </TD>

<TD>0.8772 </TD>
</TR>

<TR>
<TH/>

<TD>80.4 </TD>

<TD>1.6 </TD>

<TD>18.3 </TD>

<TD>0.9546 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.8838 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>77.9 </TD>

<TD>1.4 </TD>

<TD>22.8 </TD>

<TD>1.3436 </TD>
</TR>

<TR>
<TH/>

<TD>78.3 </TD>

<TD>1.4 </TD>

<TD>23.2 </TD>

<TD>0.8669 </TD>
</TR>

<TR>
<TH/>

<TD>78.1 </TD>

<TD>1.4 </TD>

<TD>23 </TD>

<TD>1.0554 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.0886 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>74.3 </TD>

<TD>1.6 </TD>

<TD>18.8 </TD>

<TD>0.6449 </TD>
</TR>

<TR>
<TH/>

<TD>74.5 </TD>

<TD>1.6 </TD>

<TD>18.9 </TD>

<TD>0.6638 </TD>
</TR>

<TR>
<TH/>

<TD>74.3 </TD>

<TD>1.7 </TD>

<TD>18.9 </TD>

<TD>0.6470 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.6519 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>71.4 </TD>

<TD>2.3 </TD>

<TD>19.4 </TD>

<TD>2.5128 </TD>
</TR>

<TR>
<TH/>

<TD>71.2 </TD>

<TD>2.4 </TD>

<TD>19.5 </TD>

<TD>2.3079 </TD>
</TR>

<TR>
<TH/>

<TD>71.4 </TD>

<TD>2.2 </TD>

<TD>19.2 </TD>

<TD>2.3714 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.3973 </TD>
</TR>
</Table>

<Table>
<TR>
<TH>Sample 9 </TH>

<TH>L </TH>

<TH>a </TH>

<TH>b </TH>

<TH>ΔE </TH>
</TR>

<TR>
<TH>A1 </TH>

<TD>88.6 </TD>

<TD>-0.9 </TD>

<TD>17.3 </TD>

<TD>4.6140 </TD>
</TR>

<TR>
<TH/>

<TD>88.6 </TD>

<TD>-0.9 </TD>

<TD>17.3 </TD>

<TD>4.5907 </TD>
</TR>

<TR>
<TH/>

<TD>88.6 </TD>

<TD>-0.9 </TD>

<TD>17.4 </TD>

<TD>4.7307 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>4.6451 </TD>
</TR>

<TR>
<TH>A2 </TH>

<TD>83.1 </TD>

<TD>0.8 </TD>

<TD>18.6 </TD>

<TD>2.9254 </TD>
</TR>

<TR>
<TH/>

<TD>83 </TD>

<TD>0.8 </TD>

<TD>18.7 </TD>

<TD>2.8458 </TD>
</TR>

<TR>
<TH/>

<TD>83.1 </TD>

<TD>0.7 </TD>

<TD>18.3 </TD>

<TD>2.9927 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.9213 </TD>
</TR>

<TR>
<TH>A3 </TH>

<TD>77.9 </TD>

<TD>1.6 </TD>

<TD>23 </TD>

<TD>1.3655 </TD>
</TR>

<TR>
<TH/>

<TD>77.9 </TD>

<TD>1.6 </TD>

<TD>23 </TD>

<TD>1.1637 </TD>
</TR>

<TR>
<TH/>

<TD>77.8 </TD>

<TD>1.6 </TD>

<TD>23 </TD>

<TD>1.2975 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>1.2756 </TD>
</TR>

<TR>
<TH>C2 </TH>

<TD>73.1 </TD>

<TD>1.6 </TD>

<TD>18.7 </TD>

<TD>0.4976 </TD>
</TR>

<TR>
<TH/>

<TD>73.4 </TD>

<TD>1.6 </TD>

<TD>18.6 </TD>

<TD>0.4972 </TD>
</TR>

<TR>
<TH/>

<TD>73.2 </TD>

<TD>1.6 </TD>

<TD>18.7 </TD>

<TD>0.4051 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>0.4666 </TD>
</TR>

<TR>
<TH>C3 </TH>

<TD>73.1 </TD>

<TD>2.3 </TD>

<TD>20.7 </TD>

<TD>3.9351 </TD>
</TR>

<TR>
<TH/>

<TD>73.1 </TD>

<TD>2.3 </TD>

<TD>20.9 </TD>

<TD>3.9202 </TD>
</TR>

<TR>
<TH/>

<TD>73.1 </TD>

<TD>2.3 </TD>

<TD>20.9 </TD>

<TD>3.8479 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>3.9011 </TD>
</TR>

<TR>
<TH>D2 </TH>

<TD>78.6 </TD>

<TD>-0.1 </TD>

<TD>13.8 </TD>

<TD>2.2484 </TD>
</TR>

<TR>
<TH/>

<TD>78.5 </TD>

<TD>-0.1 </TD>

<TD>13.8 </TD>

<TD>2.0854 </TD>
</TR>

<TR>
<TH/>

<TD>78.5 </TD>

<TD>-0.1 </TD>

<TD>13.8 </TD>

<TD>2.2939 </TD>
</TR>

<TR>
<TH/>

<TD/>

<TD/>

<TD>Average: </TD>

<TD>2.2092 </TD>
</TR>
</Table>

<P>Only 16 shade tabs were under the 0.8 ΔE values. 38 shade tabs were above 0.8 ΔE and 19 of the 38 exceeded the 1.8 ΔE values. (Table 2) </P>
</Sect>

<P>Table 2. The number of shade tabs above 0.8 ΔE00 (PT50:50%) and 1.8 ΔE00 (AT50:50%) in the case of six shades. </P>

<Table>
<TR>
<TH/>

<TH>A1 9 Samples </TH>

<TH>A2 9 Samples </TH>

<TH>A3 9 Samples </TH>

<TH>C2 9 Samples </TH>

<TH>C3 9 Samples </TH>

<TH>D2 9 Samples </TH>

<TH>All 54 Samples </TH>
</TR>

<TR>
<TH>Under 0.8 ΔE </TH>

<TD>8 </TD>

<TD>8 </TD>

<TD>7 </TD>

<TD>2 </TD>

<TD>8 </TD>

<TD>5 </TD>

<TD>38 </TD>
</TR>

<TR>
<TH>Above 1.8 ΔE </TH>

<TD>5 </TD>

<TD>3 </TD>

<TD>4 </TD>

<TD>0 </TD>

<TD>6 </TD>

<TD>1 </TD>

<TD>19 </TD>
</TR>
</Table>

<P>The most deviations were found in the case of A1, A2, and C3, eight out of nine shade tabs were above the PT50:50% in all of these cases. In the case of C3 six shade tabs were also above the AT50:50%,in the case of A1 and A2 five and three shade tabs were found unacceptable (above AT50:50%) color difference. Categorization and Fisher’s exact test equivalent to the Chi-square test were done. The test showed that in the combined groups A1, A2, and C3 significantly (p=0.00056) worse outcome was noticeable than other shades in total. The three examined categories were combined on the basis that they have the lowest proportion of ΔE00 results indicating invisible color difference. (Figs. 8,9) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_11.jpg"/>

<Caption>
<P>Figure 8. Distribution of ΔE00 categories defined based on the perceptibility and acceptability thresholds in groups formed based on shades and combined according to the similarity of the distribution. Fisher's exact test. </P>
</Caption>
</Figure>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_12.jpg"/>

<Caption>
<P>Figure 9. Distribution of ΔE00 categories defined based on the perceptibility and acceptability thresholds in groups formed based on shades. Fisher’s exact test. </P>
</Caption>
</Figure>

<P>The ΔE00 of nine samples compared to the reference in every six shades are shown in Fig. 10. The perceptibility and acceptability thresholds are marked with an orange line. During the visual comparison, the observers found visible color differences in 38 cases. </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_13.jpg"/>

<Caption>
<P>Figure 10. The ΔE00 values of the shade tabs compared to the reference separated to shades. The orange line shows the perceptibility (0.8 ΔE)  and acceptability thresholds (1.8 ΔE). </P>
</Caption>
</Figure>

<P>4. DISCUSSION </P>

<P>Evaluation of the method of visual shade selection is a popular topic in dentistry. The most commonly used shade guide for visual shade selection is still the VC shade guide which contains 16 shades [14-16]. In dental practices to prevent cross-contamination the shade guides are disinfected regularly, [17] which can lead to changes in the shade [6,18]. Al Amri et al. evaluated the effects of the disinfectant liquid on VITA Lumin shade tabs with VITA Easyshade. In their study, 80% of the randomly selected shade tabs showed higher ΔE values than the perceptibility threshold [19]. In another previous study the effect of three disinfectants - Cavicide, Asepticare TB, and Sporicidin – was evaluated with a VITA Easyshade spectrophotometer on VC shade tabs [17]. The study evaluated two years of usage and based on the results the shade tabs did not undergo color changes in this period. Arrejaie et al simulated the effects of one, two and three years of disinfection with three different disinfectants on  VITA Toothguide 3D Master shade guides. The measurements were carried out with A 7000A Colour Eye (X-rite, Grand Rapid, MI, USA) spectrophotometer [20]. Clinically significant color change was not described even after the three-year simulation, but the number of simulated disinfectant cycles was less than in other similar articles Hombesh et al evaluated the survivability of VITA 3D Master shade guides. The measurements were carried out with a spectrophotometer and two years were simulated. The test group was treated with isopropyl alcohol (70%), for the control group distilled water was used. A significant color difference was found between the control and the test group but without any clinical significance [6]. Alshetri et al treated the VC shade tabs with a disinfectant containing 70% ethanol and isopropyl alcohol. The potential color difference after the disinfection was evaluated digitally (Shade Eye NCC colorimeter) and visually [18]. Discoloration on the shade tabs was found in the case of 17.8% after two years of simulation, after three years it was raised to 28.9%. Pohjola et al found increased L* (lightness) and c*(chroma) values after two and three years of simulated disinfection with Cavicide disinfectant [21]. Alsethri and Pohjola both recommend keeping one reference shade guide in the dental office to check the color of the frequently used shade guides regularly [18,21]. In this present study the potential discoloration of the shade tabs - used by students in the Department of Prosthodontics, Semmelweis University - was evaluated due to everyday usage. During the visual comparison a visible color difference was found on 38 shade tabs. The color difference was not commeasurable, but the transparency of the edges was less visible on the used shade tabs compared to the new reference. (Fig. 11,12) Regarding the C2 shade tabs the best result was observed because discoloration was only found in two cases. (Fig. 13) </P>

<P>Original Articles </P>

<Sect>
<P>42-50 </P>
</Sect>

<P>47 </P>

<Sect>
<P>Fehér D, et al. </P>
</Sect>

<P>Original Articles </P>

<Sect><Figure>

<ImageData src="images/Article_11_1-2_3_img_14.jpg"/>

<Caption>
<P>Figure 11. D2 shade tabs. Reference shade tab on the left side. Discolored shade tabs on the middle and on the right side. For the upper pictures a cross polarization filter was used to remove glare. </P>
</Caption>
</Figure>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_15.jpg"/>

<Caption>
<P>Figure 12. The color difference is visible with the naked eye. The discolored shade tabs on the right side and the reference shade tabs on the left side. For the upper pictures a cross polarization filter was used to remove glare. </P>
</Caption>
</Figure>

<P>During the spectrophotometric digital measurement, 38 out of 54 shade tabs showed higher values than </P>

<P>0.8 ΔE00 (perceptibility threshold) and belonged to the visible color difference group.  The most frequent shade tabs were A1, A2, and C3 shade tabs in the visible color difference group. This can be attributed to the more frequent use of the mentioned shades and the increased number of disinfection cycles. The ΔE00 was above 1.8 in the case of 19 shade tabs, so 35.2% of the tested tabs belonged to the unacceptable color difference group. These tabs were considered clinically useless due to the unacceptable discoloration. The most frequent shades in the unacceptable color difference group were the A1 and C3. Only 29.6% of the tested shade tabs did not show noticeable color differences during the digital comparison. (Fig. 14) </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_16.jpg"/>
</Figure>

<P>Figure 14. Percentage distribution of invisible, acceptable and unacceptable color differences among the tested shade tabs. </P>

<P>CONCLUSION </P>

<P>35.2 % of the tested VC shade tabs underwent unacceptable color changes. The present study demonstrated that the shade tabs were worn out, and discolored over time. The discoloration was even detected visually. The color changes might affect the color of the final restoration and lead to esthetic failures. The shade tabs used daily need to be checked regularly and have to be replaced if discoloration is detected. </P>

<P>AUTHOR CONTRIBUTIONS </P>

<P>DF: Conceptualization, Methodology, Investigation, Writing-Original draft, Visualization, Project Administration JB: Conceptualization, Methodology, Writing-Review and Editing, Supervision PH: Conceptualization, Writing-Review and Editing, Supervision </P>

<P>CONFLICT OF INTEREST </P>

<P>Authors declare that there is no conflict of interests. </P>

<P>ACKNOWLEDGMENTS </P>

<P>The authors want to thank Dr. László Kardos for the statistical evaluation. </P>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_17.jpg"/>

<Caption>
<P>Figure 13. C2 shade tabs reached the best results, in this photo discoloration was not visible. For the upper pictures a cross polarization filter was used to remove glare. </P>
</Caption>
</Figure>
</Sect>

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<LBody> Hombesh MN, Praveen B, Sinha HV, et al. Two years survivability of VITA 3D master shade matching guides after disinfection with isopropyl alcohol: an in vitro study. J Conserv Dent. 2019;22(3):275-280. doi: 10.4103/JCD.JCD_573_18. </LBody>
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<LBody> Elamin HO, Abubakr NH, Ibrahim YE. Identifying the tooth shade in group of patients using Vita Easyshade. Eur J Dent. 2015;9(2):213-217. doi: 10.4103/1305-7456.156828. </LBody>
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<LBody> Clary JA, Ontiveros JC, Cron SG, Paravina RD. Influence of light source, polarization, education, and training on shade matching quality. J Prosthet Dent. 2016;116(1):91-97. doi: 10.1016/j.prosdent.2015.12.008. </LBody>
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<LBody> ISO/TR 28642: Dentistry - Guidance on color measurement. Vernier, CH: ISO; 2016. </LBody>
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<LBody> Paravina RD, Ghinea R, Herrera LJ, et al. Color difference thresholds in dentistry. J Esthet Restor Dent. 2015;27 Suppl 1:S1-9. doi: 10.1111/jerd.12149. </LBody>
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</P>

<P>Original Articles </P>

<Sect>
<P>Dóra FEHÉR </P>
</Sect>

<P>DMD, PhD Department of Prosthodontics Faculty of Dentistry Semmelweis University CV Budapest, Hungary </P>

<Sect><Figure>

<ImageData src="images/Article_11_1-2_3_img_18.jpg"/>
</Figure>
</Sect>

<P>Dr. Dóra Fehér is  a PhD student andbecame a prosthodontist specialist in 2022. She has been working in the Department of Prosthodontics, at the Semmelweis University since 2019. Her PhD is about the possibilities of shade reproduction andinvestigates the shade matching of the shade tabs and restorative materials and the color stability and discoloration of conventional shade guides. Its aim is to provide patients with the best aesthetic outcome by reproducing the correct shade and translucency with modern ceramic materials. Besides her research activities, she  teaches prosthodontics at the university for dental students and participates in the education of post-graduation students, dental assistants, and dental technicians as well. </P>

<Sect>
<P>42-50 </P>
</Sect>

<P>49 </P>

<P>Original Articles </P>

<Sect>
<P>Fehér D, et al. </P>

<P>Questions </P>
</Sect>

<P>1. What are the most commonly used shade guides? </P>

<L>
<Sect>
<LI>
<Lbl>qa. </Lbl>

<LBody>Vita Classical and Vita 3D Master; </LBody>
</LI>
</Sect>

<LI>
<Lbl>qb. </Lbl>

<LBody>Vita Classical and Ivoclar Universal A-D shade guide; </LBody>
</LI>

<Sect>
<LI>
<Lbl>qc. </Lbl>

<LBody>Vita 3D Master and Vita Bleachguide 3D Master; </LBody>
</LI>

<LI>
<Lbl>qd.</Lbl>

<LBody> None of the above. </LBody>
</LI>
</Sect>
</L>

<Sect>
<P>2. The visual shade selection is: </P>

<L>
<LI>
<Lbl>qa.</Lbl>

<LBody> Objective; </LBody>
</LI>

<LI>
<Lbl>qb.</Lbl>

<LBody> Not used anymore; </LBody>
</LI>

<LI>
<Lbl>qc.</Lbl>

<LBody> Subjective; </LBody>
</LI>

<LI>
<Lbl>qd.</Lbl>

<LBody> Always very precise. </LBody>
</LI>
</L>
</Sect>

<P>3. What is the color temperature of the Smile Lite lamp? </P>

<Sect>
<P>qa. 1000 K; qb. 65000 K; qc. 10000 K; qd. 5500 K. </P>

<P>4. Please select the true statement: </P>
</Sect>

<L>
<LI>
<Lbl>qa. </Lbl>

<LBody>The Vita Easyshade V spectrophotometer measures the reflected light; </LBody>
</LI>

<LI>
<Lbl>qb.</Lbl>

<LBody> For visual shade selection, the standardized light conditions are not important; </LBody>
</LI>

<LI>
<Lbl>qc. </Lbl>

<LBody>The VITA Easyshade spectrophotometer is not able to measure color parameters like L*a*b or L*c*h; </LBody>
</LI>

<LI>
<Lbl>qd. </Lbl>

<LBody>The color difference is measurable with the Vita Easyshade spectrophotometer. </LBody>
</LI>
</L>
<Figure>

<ImageData src="images/Article_11_1-2_3_img_19.jpg"/>
</Figure>
</Part>
</TaggedPDF-doc>
