ArticleJournal of clinical medicine2023
Three Visual-Diagnostic Methods for the Detection of Enamel Cracks: An In Vitro Study.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Diagnostic Methods for Detecting Dental Cracks: A Systematic Review.Dentistry journal · 2026Review
- Diagnostic performance of swept-source optical coherence tomography in the detection of tooth cracks: a narrative review.Acta odontologica Scandinavica · 2026Review
- Evaluation of fracture resistance and crack propensity of bulk-fill composite restorations reinforced by polyethylene fiber.BMC oral health · 2025Article
- Diagnostic Accuracy of Methods Used to Detect Cracked Teeth.Clinical and experimental dental research · 2025Article
- Method of understanding for investigation of crack propagation trajectory and fracture aspects in dental cracks on view of fracture mechanics theories.Scientific reports · 2024Article
- Effect of lactoferrin on enamel characteristics of primary and permanent teeth: an in-vitro study.BMC oral health · 2023Article
- Diagnostic Applications of Intraoral Scanners: A Systematic Review.Journal of imaging · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tooth fractures are a common cause of tooth loss, frequently starting as enamel cracks. However, methods for the detection of enamel cracks are poorly investigated. The aim of the study was the validation of three clinical methods for the detection of enamel cracks: dental operating microscope (DOM), near-infrared transillumination (NIR), and fiber-optic transillumination (FOTI), with hard-tissue slices serving as controls. A total of 89 extracted teeth, set up as diagnostic models, were investigated, and the maximum crack depth was scored by two examiners. The actual crack depth was determined microscopically (25×) using horizontal sections. The accuracy of each method was analyzed using receiver operating characteristic (ROC) curves. Across all tooth surfaces, the area under the curve (AUC) amounted to 0.57 (DOM), 0.70 (FOTI), and 0.67 (NIR). For crack detection on vestibular/oral surfaces, the AUC was 0.61 (DOM), 0.78 (FOTI), and 0.74 (NIR); for proximal surfaces, it was 0.59 (DOM), 0.65 (FOTI), and 0.67 (NIR). However, the actual crack depth was underestimated with each method (
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