| Literature DB >> 32655217 |
Siddhesh Borse1, Sachin Haribhau Chaware1.
Abstract
AIM: To evaluate the methods of the dental shade selection and provide a summary of different factors affecting the shade selection. DESIGN ANDEntities:
Keywords: Photo colorimeter; Vita three-dimensional master; visual shade; vita Easy Shade spectrophotometer
Year: 2020 PMID: 32655217 PMCID: PMC7335029 DOI: 10.4103/jips.jips_399_19
Source DB: PubMed Journal: J Indian Prosthodont Soc ISSN: 0972-4052
PICOS Question for the study
| PICOS | |
|---|---|
| P: Participants | Shade selection of esthetic zone |
| I: Intervention | Different shade selection method |
| C: Comparison | Visual shade guide, colorimeter, reflectance spectrophotometer, shade selection software, digital camera image processing |
| O: Outcome | Digital shade selection is better than conventional method |
| S: Study design | Networking meta-analysis |
Figure 1PRISMA flowchart for study selection
Figure 2Forest plot of fixed-effect model and randomized effect model
Figure 4Accuracy-wise distribution of shade-matching process
Studies of shade selection methods
| Author/year | Type of study | Type of intervention | Primary end point | Outcome |
|---|---|---|---|---|
| S. Paul | Comparative study | Visual shade selection and instrumental shade selection (spectrophotometer) | The mean ∆E=3.15±1.08 for visual shade and the mean ∆E=2.099±0.94 for spectrophotometer ( | Spectrophotometer analysis is highly significant and more reproducible |
| Dancy | Randomized controlled trial | Digital imaging of shade before and at the time of cementation of ceramic crown | The clinical significance of the study reported that photocolorimetric method can serve as reliable alternative to visual shade guide method for clinician who have difficulty with shade selection | The operator agreement does not show any significant difference for tooth shade selection between conventional method and photocolorimetric method |
| J.D. Jarad | Cross-sectional | Digital and computerized matching method | A total of 540 observations and 61.4% correct matching by computer method than 43% match by visual method | Computer method is better than visual but not accurate than spectrophotometer |
| Bona AD | Comparative study | Observation and comparison of shade selection by three different population (GP, DS, and DD) under CWF light and NSL by using VC and Vita-3D | Intraexaminer agreement (k=0.76). PVIA recorded for GP was 35.2% for VC and 22.0% for 3D. The PVIA for DS was 32.2% for VC and 17.5% for 3D and DD reported 41% PVIA for both VC and 3D | Shade training and dental experience are important components in shade matching |
| Pusateri SK | Comparison of instrumental shade device: shade vision, Spectroshade, Vita easy shade, and Shade scan | Interdevice variability’s accuracy is 67%-93% and reliability is over 96%. The highest accuracy was recorded (92.6%) for Vita easy and lowest for Shade scan (66.8%) | Vita easy shade spectrophotometer reported high accuracy | |
| Yilmaz B | Cross-sectional | Visual matching by 13 male and 22 female dentists | The percentages of shade determinations with two different arrangements of Vita classical shade guide reported the accuracy of 58%. However, the shade accuracy as per the hue and chroma was 55.5% in hue and chroma and 54.3% shade accuracy was according to the value | No significant difference was observed by the difference on repetitive measurements |
| Alsaleh S | Comparative study | Self-shade matching ability by dental student on visual and instrumental methods | Significant difference in color selection by visual and instrumental methods | Instrumental is better |
| Khashayar G (2012) | Cross-sectional | Comparison of two spectrophotometers | Two different spectrophotometers do not give similar readings | Dentist and dental technician should use the same device for better comparison |
| Rodrigues S | Cross-sectional | Shade difference as per the age group | Shade evaluation in younger age as well as in advanced age | Different shade appearance in both age groups (mentioned in discussion) |
| Ozat PB | Randomized controlled trial | Repeatability and reliability of human eye in visual shade | Repetitive shade selection by the groups of dentist on various individuals reported inconsistency in shade selection ( | To get clinically acceptable shade knowledge and training is essential for accurate shade matching |
| Bahannan SA (2014) | Comparative study | Shade quality evaluated by dental students | 36.3% of the dental students accurately recorded visual shade and 80.4% recorded easy shade | Spectrophotometer improves the quality of shade matching |
| Alshiddi IF | Comparative study | Visual and spectrophotometer shade evaluation by untrained and trained dental students | There is a significant color difference between spectrophotometer (average ∆E=3.63) and visual method (average ∆E=4.22) at ( | Spectrophotometer showed better result, but the knowledge of the shade selection is more important than the device |
| Dudea D | Cross-sectional | Five (gray, white, black, red, and blue) background effect on shade matching | Statistically significant difference in all the five backgrounds ( | The blue backgrounds introduced maximum distraction for visual shade matching |
| Lee YK (2016) | Cross-sectional | The color selection of missing teeth | Maxillary incisor showed high color difference (L*=−3.2-−6.5, a*=0.5-2.7, and b*-−0.7-7.5) ( | Mandibular anterior teeth were strong predictors for missing maxillary anterior teeth |
| Gurrea J | Cross-polarized photography evaluated the shade tabs | Four different shade tabs showed variable results for hue, Chroma, and value ( | None of Vita coded shade tabs showed complete correspondence with the actual Vita shade tabs | |
| Clary JA | Randomized controlled trial | Visual filters lights, education, and training for shade matching | The mean score for handheld light is 7.8. The combined effect range of handheld light, education training of shade matching is 1.2-6.8 than the viewing booth (8.0) | Handheld light is alternative to natural day light for visual shade selection. The training about shade selection improves the shade-matching ability of the clinician |
| Pohlen B | Comparative study | Tooth shade-matching ability and different color knowledge by giving 60 min lecture of color science on 16 male and 16 female participants | Female participants select better color select than male participants (L*=12.11 for FL, L*=11 for MNL. C*=9.86, for FL and C*=8.57 for MNL) | Gender has more significance than knowledge of the shade |
| Alfouzan AF | Randomized controlled trial | Color training of the dental students | There is a statistically significant difference in pre- and posttraining results ( | Shade training is more significant for dental student |
| Chitrarsu | Randomized controlled trial | Digital and spectrophotometer with addition of LED or filtered LED | The result was significant for daylight, incandescent light, LED light, and filtered LED light ( | Incandescent light showed more accurate shade matching than the LED light, filtered LED light, and day light |
| Igiel | Cross-sectional | Model evaluation of shade matching by forty observers | The inter-observation reliability was 64 (11) for Vita classical and 48 (10) for Vita 3D. The corresponding values for spectrophotometer was 96 (4) for both VC and 3D | Spectrophotometer is highly significant. Visual shade matching exhibited a high-to-moderate level of incompetency |
| Kim M | Cross-sectional | Digital shade matching with SVMA evaluated Vita-3D master shade guide (10 measurements) | SVMA reported 90% matching accuracy and less than 1% failure rate achieved for 10 measurements | SVM measurement may be an optimum solution for quantitative measurement of tooth color |
DS: Dental student, Gp: General population, DD: Dentist, CWF: Cool white fluorescent, NSL: Natural sunlight, VC: Vital classical, SVM: Support vector machine, SVMA: SVM algorithm, PVIA: Percent visual instrumental shade agreement, LED: Light-emitting diode, 3D: Three-dimensional, MNL: Males that did not listen, FL: Females that listened
Significance of a different types of tooth shade selection method
| Tooth shade selection tool | Shade selection | Operational value | Economical value | ||
|---|---|---|---|---|---|
| Hue | Value | Chroma | |||
| Spectrophotometer | +++ | +++ | +++ | +++ | + |
| Photocolorimeter | +++ | +++ | +++ | ++ | + |
| Digital imaging | +++ | ++ | ++ | ++ | + |
| Scanner (SVMA) | ++ | ++ | ++ | + | + |
| Cross-polarized photography | ++ | ++ | ++ | + | ++ |
| Visual shade guide | ++ | ++ | ++ | + | +++ |
+++: High value of significance:, ++: Moderate value of significance, +: Low value of significance, SVMA: Support vector machine algorithm
The recommended guidelines for visual shade selection procedure
| Steps | Preparation |
|---|---|
| Clinician position | Patient should be seated at an upright position at the elbow level of the clinician. The distance of 25-35 cm (arm length) from the patient to clinician to minimize subjective error of eye fatigue shade should be selected quickly (5-7 s) |
| Light condition and background | Use color-corrected light illumination and avoid bright color at the working area and if the patient wear bright cloth, cover the patient with gray drape, dark-colored lipstick should be removed before shade selection. Shade selection should be done at forenoon between 10 a.m. and 2 p.m. To reduce the background light, use 18% gray card (Kulzer’s small intraoral gray cardboards, Pensler shields screen) |
| Shade comparison | The selected tooth should be clean with Prophy paste, shade should be selected before tooth preparation as dehydration reduces the translucency of the tooth, the selected shade tab should be viewed from above or below the tooth to match and not adjacent to the selected tooth (binocular effect) |