María del Mar Pérez1, Razvan Ghinea2, María José Rivas3, Ana Yebra3, Ana María Ionescu3, Rade D Paravina4, Luis Javier Herrera5. 1. Department of Optics, Faculty of Science, University of Granada, Campus Fuente Nueva, Edificio Mecenas, s/n 18071, Granada, Spain; Houston Center for Biomaterials and Biomimetics, Department of Restorative Dentistry and Prosthodontics, University of Texas, School of Dentistry, 7500 Cambridge St., Houston, TX 77054, USA. Electronic address: mmperez@ugr.es. 2. Department of Optics, Faculty of Science, University of Granada, Campus Fuente Nueva, Edificio Mecenas, s/n 18071, Granada, Spain; Houston Center for Biomaterials and Biomimetics, Department of Restorative Dentistry and Prosthodontics, University of Texas, School of Dentistry, 7500 Cambridge St., Houston, TX 77054, USA. 3. Department of Optics, Faculty of Science, University of Granada, Campus Fuente Nueva, Edificio Mecenas, s/n 18071, Granada, Spain. 4. Houston Center for Biomaterials and Biomimetics, Department of Restorative Dentistry and Prosthodontics, University of Texas, School of Dentistry, 7500 Cambridge St., Houston, TX 77054, USA; Department of Restorative Dentistry and Prosthodontics, The University of Texas Dental Branch at Houston, 7500 Cambridge Dr., Ste. 5437, Houston, TX 77054, USA. 5. Department of Computer Architecture and Computer Technology, E.T.S.I.I.T. University of Granada, s/n 18071, Granada, Spain.
Abstract
OBJECTIVES: To develop a customized CIELAB-based whiteness index for dentistry that accurately correlates to perception of tooth whiteness. METHODS: Four psychophysical experiments (PE1-4) were conducted by three panels of observers (OP1-3) under diffuse/0° observation/measuring conditions and under typical clinical viewing conditions. Nine whiteness indices (WI, Z%, WIC, WIO, W31, W64, W, WLAB, W*), two yellowness indices (YID1925, YIE313) and tint of white in the CIELAB color system (T) were compared with regard to their ability to measure the perceived whiteness of human teeth. Determination coefficient (R(2)) and '% wrong decision' (%WD) method were used as direct measures of the quality of the indices for whiteness perception in dentistry. RESULTS: CIELAB-based whiteness index (WID=0.511L* -2.324a* -1.100b*) was developed through optimization from the data obtained in PE1. The proposed WID performed better than all the CIELAB and CIE1931 XYZ-based indices under laboratory and clinical conditions (only WIO was comparable to WID in PE2 and PE4). CONCLUSION: The validation experiments under laboratory and typical clinical conditions revealed that the proposed index WID outperformed previous indices, being the only CIELAB-based index developed for evaluation of whiteness in dentistry.
OBJECTIVES: To develop a customized CIELAB-based whiteness index for dentistry that accurately correlates to perception of tooth whiteness. METHODS: Four psychophysical experiments (PE1-4) were conducted by three panels of observers (OP1-3) under diffuse/0° observation/measuring conditions and under typical clinical viewing conditions. Nine whiteness indices (WI, Z%, WIC, WIO, W31, W64, W, WLAB, W*), two yellowness indices (YID1925, YIE313) and tint of white in the CIELAB color system (T) were compared with regard to their ability to measure the perceived whiteness of human teeth. Determination coefficient (R(2)) and '% wrong decision' (%WD) method were used as direct measures of the quality of the indices for whiteness perception in dentistry. RESULTS: CIELAB-based whiteness index (WID=0.511L* -2.324a* -1.100b*) was developed through optimization from the data obtained in PE1. The proposed WID performed better than all the CIELAB and CIE1931 XYZ-based indices under laboratory and clinical conditions (only WIO was comparable to WID in PE2 and PE4). CONCLUSION: The validation experiments under laboratory and typical clinical conditions revealed that the proposed index WID outperformed previous indices, being the only CIELAB-based index developed for evaluation of whiteness in dentistry.
Authors: Taynara S Carneiro; Michael W Favoreto; Laís G Bernardi; Elisama Sutil; Michel Wendlinger; Gabrielle G Centenaro; Alessandra Reis; Alessandro D Loguercio Journal: Clin Oral Investig Date: 2022-02-07 Impact factor: 3.573
Authors: Laís G Bernardi; Michael W Favoreto; Taynara S Carneiro; Alexandra Mena-Serrano; Christiane P F Borges; Alessandra Reis; Alessandro D Loguercio Journal: Clin Oral Investig Date: 2022-07-01 Impact factor: 3.606
Authors: Diana Carla Mada; Cristina Gasparik; Alexandra Iulia Irimie; Marius Dan Mada; Diana Dudea; Radu Septimiu Campian Journal: Clujul Med Date: 2018-04-25
Authors: Thalyta Dos Reis Furlani Zouain Ferreira Neves Dias; Francisco Ubiratan Ferreira de Campos; Cecilia Pedroso Turssi; Flávia Lucisano Botelho do Amaral; Fabiana Mantovani Gomes França; Roberta Tarkany Basting Journal: Med Gas Res Date: 2022 Jul-Sep