Literature DB >> 16215749

Comparison of in vivo visual and computer-aided tooth shade determination.

Burkard Hugo1, Tobias Witzel, Bernd Klaiber.   

Abstract

The aim of this study was to evaluate the performance of shade-determining devices. For the daily practitioner, it is essential to know whether modern computer-aided shade selection is reliable in everyday life. So the question of how the clinical usability of these machines could be rated has to be clarified. In the following, three actual devices available in the market were compared using a human observer's perception. The SpectroShade device (MHT Optic Research AG, 8155 Niederhasli, Switzerland), the ShadeVision device (X-Rite Co., Grandville, USA) and the Digital Shade Guide DSG4 (A. Rieth, 73614 Schorndorf, Germany) were assessed with respect to their agreement with the color perception of three examiners looking at 57 test persons (six teeth each for a total of 342). Shades were reported in Vita Classical shades. It could be demonstrated that every single human examiner showed a significantly higher agreement value (human group on average 40.2%) when compared with the remaining five methods than each computer-aided tooth shade determination device. The devices reached on average only a value of 28.6%, whereas the X-Rite ShadeVision showed a significant better result (33.2%) than the MHT SpectroShade and Rieth DSG4 (27.0 and 25.7%). Identical shade results given by all three methods of a group (group of three devices and three humans) were found to be rather low for the computer-aided devices (9.9%) compared with humans (36.7%). All six methods together agreed in 3.3% of the cases. It becomes evident that the methods-especially the computer-aided shade determination-are rather divided about the respective tooth color. Deficiencies of the instrumental as well as the visual detection become obvious. The best agreement level was performed by the human examiners. The best agreement of the evaluated devices was obtained-generally as well as among the human testers-by the X-Rite ShadeVision system, followed at a statistically significant distance by the MHT SpectroShade and the Rieth DSG4. The agreement among the examiner group was 52.9%, significantly better than that of each device compared to this group (31.3% on average). Color detection and its realization are very complex. As shown, in many cases, computer-aided color shade determination of natural teeth seems to not reflect human perception.

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Mesh:

Year:  2005        PMID: 16215749     DOI: 10.1007/s00784-005-0014-3

Source DB:  PubMed          Journal:  Clin Oral Investig        ISSN: 1432-6981            Impact factor:   3.573


  9 in total

1.  Shades of a color. Illusion or reality?

Authors:  S M Mayekar
Journal:  Dent Clin North Am       Date:  2001-01

2.  Sphere spectrophotometer versus human evaluation of tooth shade.

Authors:  D J Horn; J Bulan-Brady; M L Hicks
Journal:  J Endod       Date:  1998-12       Impact factor: 4.171

3.  Color matching in dentistry. Part I. The three-dimensional nature of color. 1973.

Authors:  R C Sproull
Journal:  J Prosthet Dent       Date:  2001-11       Impact factor: 3.426

4.  Precision shade technology: contemporary strategies in shade selection.

Authors:  Stephen J Chu
Journal:  Pract Proced Aesthet Dent       Date:  2002 Jan-Feb

5.  Evaluating porcelain color match of different porcelain shade-matching systems.

Authors:  A G Wee; E Y Kang; W M Johnston; R R Seghi
Journal:  J Esthet Dent       Date:  2000

6.  Digital shade analysis and verification: a case report and discussion.

Authors:  S J Chu; D P Tarnow
Journal:  Pract Proced Aesthet Dent       Date:  2001-03

7.  Human-eye versus computerized color matching.

Authors:  A U Yap; C P Sim; W L Loh; J H Teo
Journal:  Oper Dent       Date:  1999 Nov-Dec       Impact factor: 2.440

8.  A comparative study of shade-matching procedures.

Authors:  W D Culpepper
Journal:  J Prosthet Dent       Date:  1970-08       Impact factor: 3.426

9.  Visual and spectrophotometric shade analysis of human teeth.

Authors:  S Paul; A Peter; N Pietrobon; C H F Hämmerle
Journal:  J Dent Res       Date:  2002-08       Impact factor: 6.116

  9 in total
  11 in total

1.  Development of digital shade guides for color assessment using a digital camera with ring flashes.

Authors:  Oi-Hong Tung; Yu-Lin Lai; Yi-Ching Ho; I-Chiang Chou; Shyh-Yuan Lee
Journal:  Clin Oral Investig       Date:  2010-01-05       Impact factor: 3.573

2.  The influence of toothbrushing and coffee staining on different composite surface coatings.

Authors:  Brigitte Zimmerli; Tamara Koch; Simon Flury; Adrian Lussi
Journal:  Clin Oral Investig       Date:  2011-02-18       Impact factor: 3.573

3.  Reliability of shade selection using an intraoral spectrophotometer.

Authors:  Siegbert Witkowski; Nao-Daniel Yajima; Martin Wolkewitz; Jorge R Strub
Journal:  Clin Oral Investig       Date:  2011-08-10       Impact factor: 3.573

4.  In vivo and in vitro spectrophotometric evaluation of upper central incisors before and after extraction.

Authors:  Enric Soler; Fernando Duran-Sindreu; Juan Basilio; Miguel Roig; Stefano Ardu; Juan R Mayoral
Journal:  Clin Oral Investig       Date:  2017-01-05       Impact factor: 3.573

5.  Evaluation of accuracy and characteristics of tooth-color matching by intraoral scanners based on Munsell color system: an in vivo study.

Authors:  Mingming Huang; Hongqiang Ye; Hu Chen; Yongsheng Zhou; Yunsong Liu; Yong Wang; Yuchun Sun
Journal:  Odontology       Date:  2022-02-25       Impact factor: 2.885

6.  Effect of thickness on color appearance of multilayer CAD/CAM composite resin blocks.

Authors:  Roubing Ha; Yumi Tsuchida; Maho Shiozawa; Hidekazu Takahashi
Journal:  Odontology       Date:  2022-03-24       Impact factor: 2.885

7.  Comparison of accuracies of an intraoral spectrophotometer and conventional visual method for shade matching using two shade guide systems.

Authors:  Vidhya Parameswaran; S Anilkumar; S Lylajam; C Rajesh; Vivek Narayan
Journal:  J Indian Prosthodont Soc       Date:  2016 Oct-Dec

8.  A Digital Shade-Matching Device for Dental Color Determination Using the Support Vector Machine Algorithm.

Authors:  Minah Kim; Byungyeon Kim; Byungjun Park; Minsuk Lee; Youngjae Won; Choul-Young Kim; Seungrag Lee
Journal:  Sensors (Basel)       Date:  2018-09-12       Impact factor: 3.576

9.  Influence of Restorative Materials on Color of Implant-Supported Single Crowns in Esthetic Zone: A Spectrophotometric Evaluation.

Authors:  Min Peng; Wei-Jie Zhao; Mandana Hosseini; Wen-Juan Zhou; Ting Xiao; Jun-Lan Chuan
Journal:  Biomed Res Int       Date:  2017-11-19       Impact factor: 3.411

10.  Assessing the effect of multibracket appliance treatment on tooth color by using electronic measurement.

Authors:  Anja Ratzmann; Christan Schwahn; Anja Treichel; Andreas Faltermeier; Alexander Welk
Journal:  Head Face Med       Date:  2018-10-22       Impact factor: 2.151

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