Detection of artificial enamel caries-like lesions with a blue hydroxyapatite-binding porosity probe.


Journal

Journal of dentistry
ISSN: 1879-176X
Titre abrégé: J Dent
Pays: England
ID NLM: 0354422

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 27 03 2023
revised: 13 06 2023
accepted: 23 06 2023
medline: 17 7 2023
pubmed: 27 6 2023
entrez: 26 6 2023
Statut: ppublish

Résumé

This in vitro study investigated the ability of a blue protein-based hydroxyapatite porosity probe to selectively detect artificial enamel caries-like lesions of varying severities. Artificial caries-like lesions were formed in enamel specimens using a hydroxyethylcellulose-containing lactic acid gel for 4/12/24/72 or 168 h. One untreated group was used as a control. The probe was applied for 2 min and unbound probe rinsed off with deionized water. Surface color changes were determined spectrophotometrically (L*a*b* color space) and with digital photography. Lesions were characterized using quantitative light-induced fluorescence (QLF), Vickers surface microhardness, and transverse microradiography (TMR). Data were analyzed using one-way ANOVA. Digital photography did not reveal any discoloration in unaffected enamel. However, all lesions stained blue with color intensity positively correlated with demineralization times. The color data reflected similar trends: lesions became significantly darker (L* decreased) and bluer (b* decreased), while overall color differences (ΔE) increased significantly after probe application (4-h lesion, mean±standard deviation: ΔL*=-2.6 ± 4.1/Δb*=0.1 ± 0.8/ΔE=5.5 ± 1.3 vs. 168-h lesion: ΔL*=-17.3 ± 1.1/Δb*=-6.0 ± 0.6/ΔE=18.7 ± 1.1). TMR analysis revealed distinct differences in integrated mineral loss (ΔZ) and lesion depth (L) between demineralization times (4-h lesion: ΔZ=391±190 vol%min × µm/L = 18.1 ± 10.9 µm vs. 168-h lesion: ΔZ=3606±499 vol%min × µm/L = 111.9 ± 13.9 µm). QLF and microhardness were also able to differentiate between demineralization times. L and ΔZ strongly correlated (Pearson correlation coefficient [r]) with Δb* (L vs. Δb*: r=-0.90/ΔZ vs. Δb*: r=-0.90), ΔE (r = 0.85/r = 0.81), and ΔL* (r=-0.79/r=-0.73). Considering the limitations of this study, the blue protein-based hydroxyapatite-binding porosity probe appears to be sufficiently sensitive to distinguish between unaffected enamel and artificial caries-like lesions. Early detection of enamel caries lesions remains one of the most critical aspects in the diagnosis and management of dental caries. This study highlighted the potential of a novel porosity probe in detecting artificial caries-like demineralization by objective means.

Identifiants

pubmed: 37364728
pii: S0300-5712(23)00187-2
doi: 10.1016/j.jdent.2023.104601
pii:
doi:

Substances chimiques

Durapatite 91D9GV0Z28

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104601

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest This work was support by Incisive Technologies Pty Ltd, Melbourne, Victoria, Australia. JEM and KAH are employees of and have equity in Incisive Technologies.

Auteurs

Frank Lippert (F)

Department of Cariology, Operative Dentistry and Dental Public Health, Oral Health Research Institute, Indiana University School of Dentistry, 415 Lansing Street, Indianapolis, IN 46202, USA. Electronic address: flippert@iu.edu.

Jennifer S Eder (JS)

Department of Cariology, Operative Dentistry and Dental Public Health, Oral Health Research Institute, Indiana University School of Dentistry, 415 Lansing Street, Indianapolis, IN 46202, USA.

George J Eckert (GJ)

Department of Biostatistics, Indiana University School of Medicine, 410 W. Tenth St., Suite 3000, Indianapolis, IN 46202, USA.

Jonathan Mangum (J)

Incisive Technologies Pty Ltd, Level 4, 71 Collins Street, Melbourne, Victoria 3000, Australia.

Kerry Hegarty (K)

Incisive Technologies Pty Ltd, Level 4, 71 Collins Street, Melbourne, Victoria 3000, Australia.

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Classifications MeSH