Validity and reliability of tooth color selection by smartphone photography and software applications

Mohammadi, Abolghasem; Bakhtiari, Zeinab; Mighani, Fatemeh; Bakhtiari, Fatemeh

doi:10.4103/jips.jips_193_21

Cited by 2 publications

(3 citation statements)

References 20 publications

(59 reference statements)

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“…Recent advances in smartphone cameras allow dental photographs to be captured for determining tooth shade [13][14][15][16]. In addition to camera settings such as aperture size, shutter speed, and ISO, other factors that affect tooth shade in smartphone photographs are as follows: (1) illumination conditions, determined by both the intensity of the ambient light and camera flash; (2) tooth appearance conditions, including the region of interest (ROI) for tooth color measurement, determined by the opening of the mouth and tooth size; and…”

Section: Introductionmentioning

confidence: 99%

A Smartphone Application for Personalized Tooth Shade Determination

Kusayanagi,

Maegawa,

Terauchi

et al. 2023

Diagnostics

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Tooth shade determination methods for evaluating the effectiveness of whitening products at home are limited. In this study, an iPhone app for personalized tooth shade determination was developed. While capturing dental photographs in selfie mode before and after whitening, the app can maintain consistent illumination and tooth appearance conditions that affect tooth color measurement. An ambient light sensor was used to standardize the illumination conditions. To maintain consistent tooth appearance conditions determined by appropriately opening the mouth, facial landmark detection, an artificial intelligence technique that estimates key face parts and outlines, was used. The effectiveness of the app in ensuring uniform tooth appearance was investigated through color measurements of the upper incisors of seven participants via photographs captured in succession. The coefficients of variation for incisors L*, a*, and b* were less than 0.0256 (95% CI, 0.0173–0.0338), 0.2748 (0.1596–0.3899), and 0.1053 (0.0078–0.2028), respectively. To examine the feasibility of the app for tooth shade determination, gel whitening after pseudo-staining by coffee and grape juice was performed. Consequently, whitening results were evaluated by monitoring the ∆Eab color difference values (1.3 unit minimum). Although tooth shade determination remains a relative quantification method, the proposed method can support evidence-based selection of whitening products.

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Section: Introductionmentioning

confidence: 99%

A Smartphone Application for Personalized Tooth Shade Determination

Kusayanagi,

Maegawa,

Terauchi

et al. 2023

Diagnostics

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“…Nineteen additional articles [104][105][106][107][108][109][110][111][112][113][114][115][116][117][118][119][120][121] were identified after the initial search, and their results are reported in Table S4 and included in the Discussion section. The findings from these additional articles mirrored those from the initial search and therefore did not warrant a revision to the original study methodology [122].…”

Section: Results From the Updated Searchmentioning

confidence: 99%

“…201841046815, Intellectual Property of India) and Chromatcher (DMP Dental Industry, S.A.). It has been suggested [107,119,120] that artificial intelligence-driven digital photography will become the new Criterion Standard for dental shade matching. Notably, the study also highlights a scarcity of high-quality research in this particular field of dentistry, underscoring the urgent need for more highquality studies to be conducted.…”

Section: The Future Of Digital Shade Matching In Dentistrymentioning

confidence: 99%

Digital Shade Matching in Dentistry: A Systematic Review

Rashid,

Farook,

Dudley

2023

Dentistry Journal

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The pursuit of aesthetic excellence in dentistry, shaped by societal trends and digital advancements, highlights the critical role of precise shade matching in restorative procedures. Although conventional methods are prevalent, challenges such as shade guide variability and subjective interpretation necessitate a re-evaluation in the face of emerging non-proximity digital instruments. This systematic review employs PRISMA protocols and keyword-based search strategies spanning the Scopus®, PubMed.gov, and Web of ScienceTM databases, with the last updated search carried out in October 2023. The study aimed to synthesise literature that identified digital non-proximity recording instruments and associated colour spaces in dentistry and compare the clinical outcomes of digital systems with spectrophotometers and conventional visual methods. Utilising predefined criteria and resolving disagreements between two reviewers through Cohen’s kappa calculator, the review assessed 85 articles, with 33 included in a PICO model for clinical comparisons. The results reveal that 42% of studies employed the CIELAB colour space. Despite the challenges in study quality, non-proximity digital instruments demonstrated more consistent clinical outcomes than visual methods, akin to spectrophotometers, emphasising their efficacy in controlled conditions. The review underscores the evolving landscape of dental shade matching, recognising technological advancements and advocating for methodological rigor in dental research.

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Validity and reliability of tooth color selection by smartphone photography and software applications

Cited by 2 publications

References 20 publications

A Smartphone Application for Personalized Tooth Shade Determination

A Smartphone Application for Personalized Tooth Shade Determination

Digital Shade Matching in Dentistry: A Systematic Review

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