Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Development of Thickness-Dependent Predictive Methods for the Estimation of the CIELab Color Coordinates of Monolithic and Layered Dental Resin Composites
by
Ruiz-López, Javier
, Tejada-Casado, Maria
, Ghinea, Razvan
, Herrera, Luis Javier
, Lübbe, Henning
, Pérez, María M.
in
Accuracy
/ Aesthetics
/ Algorithms
/ Clinical medicine
/ Color
/ Composite materials
/ Dental materials
/ Dentistry
/ Enamel
/ Manufacturers
/ Performance evaluation
/ Performance prediction
/ Polynomials
/ Prediction models
/ Regression analysis
/ Resins
/ Shades
/ Spectroradiometers
/ Thickness
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Development of Thickness-Dependent Predictive Methods for the Estimation of the CIELab Color Coordinates of Monolithic and Layered Dental Resin Composites
by
Ruiz-López, Javier
, Tejada-Casado, Maria
, Ghinea, Razvan
, Herrera, Luis Javier
, Lübbe, Henning
, Pérez, María M.
in
Accuracy
/ Aesthetics
/ Algorithms
/ Clinical medicine
/ Color
/ Composite materials
/ Dental materials
/ Dentistry
/ Enamel
/ Manufacturers
/ Performance evaluation
/ Performance prediction
/ Polynomials
/ Prediction models
/ Regression analysis
/ Resins
/ Shades
/ Spectroradiometers
/ Thickness
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Development of Thickness-Dependent Predictive Methods for the Estimation of the CIELab Color Coordinates of Monolithic and Layered Dental Resin Composites
by
Ruiz-López, Javier
, Tejada-Casado, Maria
, Ghinea, Razvan
, Herrera, Luis Javier
, Lübbe, Henning
, Pérez, María M.
in
Accuracy
/ Aesthetics
/ Algorithms
/ Clinical medicine
/ Color
/ Composite materials
/ Dental materials
/ Dentistry
/ Enamel
/ Manufacturers
/ Performance evaluation
/ Performance prediction
/ Polynomials
/ Prediction models
/ Regression analysis
/ Resins
/ Shades
/ Spectroradiometers
/ Thickness
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Development of Thickness-Dependent Predictive Methods for the Estimation of the CIELab Color Coordinates of Monolithic and Layered Dental Resin Composites
Journal Article
Development of Thickness-Dependent Predictive Methods for the Estimation of the CIELab Color Coordinates of Monolithic and Layered Dental Resin Composites
2023
Request Book From Autostore
and Choose the Collection Method
Overview
Usually, dentin and enamel shades are layered in dental restorations with the purpose of mimicking the natural appearance of teeth. The main objective of this study was to develop and assess accuracy of a color-prediction method for both monolithic and layered dental resin-based composites with varying shades and under different illuminants. A total of 15 different shades of VITAPAN Excell, VITAPAN Dentine and VITA Physiodens as well as VITA Enamel of five different thicknesses (0.5–2.5 mm range) were used to manufacture monolithic and layered samples. A non-contact spectroradiometer with CIE 45∘/0∘ geometry was used to measure the color of all samples over a standard ceramic black background. Second-degree polynomial regression was used as predictive method for CIE-L*a*b* color coordinates. Performance of predictive models was tested using the CIEDE2000 total color difference formula (ΔE00), while accuracy was evaluated by comparative assessment of ΔE00 with corresponding 50:50% acceptability (AT00) and perceptibly (PT00) thresholds for dentistry. A mean color difference between measured (real) and predicted color of ΔE00=1.71, with 62.86% of the color differences below AT00 and 28.57% below PT00, was registered for monolithic samples. For bi-layered samples, the mean color difference was roughly ΔE00=0.50, with generally 100% and more than 85% of the estimations below AT00 and PT00, respectively. The predictive method allowed highly accurate color estimations for both monolithic and layered dental resin-based composites with varying thicknesses and under different illuminations. These results could be useful to maximize the clinical success of dental restorations.
Publisher
MDPI AG,MDPI
Subject
This website uses cookies to ensure you get the best experience on our website.