<i>In vitro</i> evaluation of color and translucency reproduction of maxillofacial prostheses using a computerized system

Nemli, Seçil Karakoca; Güngör, Merve Bankoğlu; Bağkur, Meral; Bal, Bilge Turhan; Arıcı, Yeliz Kaşko

doi:10.4047/jap.2018.10.6.422

Cited by 14 publications

(13 citation statements)

References 22 publications

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“…It has extensive biomedical applications, primarily in the prosthodontics and dental industries. [24][25][26][27][28] More recently, it has been successfully applied to measurements of erythema in patients receiving ultraviolet phototherapy for vitiligo and psoriasis. 29 The delta-E is a single number, which represents the "difference or distance" between two colors (Figure 4).…”

Section: Discussionmentioning

confidence: 99%

“…Developed initially in 1976 as an industrial tool for color assessment, it has been extensively revised and reformulated to improve accuracy, regardless of lighting conditions. It has extensive biomedical applications, primarily in the prosthodontics and dental industries 24–28 . More recently, it has been successfully applied to measurements of erythema in patients receiving ultraviolet phototherapy for vitiligo and psoriasis 29 .…”

Section: Discussionmentioning

confidence: 99%

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Skin Color Match in Head and Neck Reconstructive Surgery

et al. 2021

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Objectives/Hypothesis To quantify the degree of color match achieved during microvascular facial reconstruction, and to describe a novel technique for improving reconstructive skin color match. We hypothesize that split‐thickness skin grafts (STSG) placed atop de‐epithelialized free tissue produces better facial skin color match than free tissue with intact epithelium. Study Design Cross sectional photographic study of reconstructed facial skin color match. Methods Sixty‐eight adults, who underwent head and neck reconstructive surgery, were divided into six categories based on cutaneous reconstructive technique: cervicofacial flap, radial forearm free flap (RFFF), fibula free flap, anterolateral thigh free flap (ALT), STSG over adiopofascial flap (STAFF), and STSG over myogenous flap (STMF). Averaged color samplings of the reconstructed defect and adjacent normal skin were taken from digital photographs. The color difference was calculated using the delta‐E calculation. Blinded expert observers also rated the degree of color match. Nonparametric cohort contrast and correlation statistical analyses were performed. Results The mean delta‐E's and 10‐point Likert ratings for the ALT, fibula, RFFF, STAFF, STMF, and cervicofacial flaps were 11.6, 10.0, 7.7, 6.3, 8.8, and 4.7, and 5.1, 6.4, 2.4, 3.2, 2.7, and 1.1, respectively. Likert scale inter‐rater correlation was strong, with coefficient = 0.80. Conclusions On average, STSG over de‐epithelialized myogenous and adipofascial free tissue transfers produced a better color match than the skin paddles of donor sites, with the exception of the radial forearm donor site. Delta‐E values obtained from photos correlated well with expert ratings of color match. This reliable technique for quantifying color match may be used in future studies. Level of Evidence 3 Laryngoscope, 132:1753–1759, 2022

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Skin Color Match in Head and Neck Reconstructive Surgery

et al. 2021

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“…Pigments are added to the silicone elastomer material to color the maxillofacial prosthesis material (65). Han Y. et al (66) studied the color stability of pigmented maxillofacial silicone elastomer, nano -TiO2, ZnO, and CeO2 were used as opacifiers for the silicone elastomer, and TiO2 and CeO2 caused the least color change.…”

Section: Use In Maxillofacial Prosthesismentioning

confidence: 99%

Nanoparticles and Their Application in Prosthetic Dentistry

GÜRSOY¹,

Yılmaz

2023

Clinical and Experimental Health Sciences

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In recent years, nanoparticles produced with nanotechnology have been widely used in many fields of medicine and dentistry such as prosthetic dental treatment. The advanced properties of nanoparticles such as biocompatibility, durability, solubility, large surface area, high stability, and thermal conductivity facilitate the development of dental materials. Compared to the traditional materials used, they can offer useful features, such as better diagnosis, treatment plans, improvement, and protection of oral health. Therefore, a better understanding of nanotechnology and nanoparticles is essential to appreciate how these materials can be utilised in our daily practice. This review provides an overview of nanoparticles and their applications in dentistry.

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“…A failure in the coloring procedure may cause to repeat the entire production process from the beginning. [ 5 6 7 ]…”

Section: Introductionmentioning

confidence: 99%

Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches

Kurt

Işık

2023

J Indian Prosthodont Soc

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Aim: This study aimed to compare the performance of two deep learning algorithms, attention-based gated recurrent unit (GRU), and the artificial neural networks (ANNs) algorithm for coloring silicone maxillofacial prostheses. Settings and Design: This was an in vitro study. Materials and Methods: A total of 21 silicone samples in different colors were produced with four pigments (white, yellow, red, and blue). The color of the samples was measured with a spectrophotometer, then the L*, a*, and b* values were recorded. The relationship between the L*, a*, and b* values of each sample and the amount of each pigment in the compound of the same sample was used as the training dataset, entered into each algorithm, and the prediction models were obtained. While generating the prediction model for each sample, the data of the corresponding sample assigned as the target color were excluded. L*, a*, and b* values of each target sample were entered into the obtained models separately, and recipes indicating the ratios for mixing the four pigments were predicted. The mean absolute error (MAE) and root mean square error (RMSE) values between the original recipe used in the production of each silicone and the recipe created by both prediction models for the same silicone were calculated. Statistical Analysis Used: Data were analyzed with the Student t -test (α=0.05). Results: The mean RMSE values and MAE values for the ANN algorithm (0.029 ± 0.0152 and 0.045 ± 0.0235, respectively) were found significantly higher than the attention-based GRU model (0.001 ± 0.0005 and 0.002 ± 0.0008, respectively) ( P < 0.001). Conclusions: Attention-based GRU model provided better performance than the ANN algorithm with respect to the MAE and RMSE values.

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In vitro evaluation of color and translucency reproduction of maxillofacial prostheses using a computerized system

Cited by 14 publications

References 22 publications

Skin Color Match in Head and Neck Reconstructive Surgery

Skin Color Match in Head and Neck Reconstructive Surgery

Nanoparticles and Their Application in Prosthetic Dentistry

Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches

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