Evidence map›Paper›PMID 42721064›Full record

ArticleCaries research2026

Diffuse Reflectance Spectroscopy for Caries Detection and Discrimination of Restorative Materials: An In Vitro Diagnostic Accuracy Study.

Jindřich Charvát, Aleš Procházka, Lucie Himmlová, Tomáš Kučera, Lenka Vavřičková

Abstract read
In one paragraph

Article in Caries research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jindřich CharvátInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czechia, jindrich.charvat2@lf1.cuni.cz.
Aleš ProcházkaDepartment of Mathematics, Informatics and Cybernetics, University of Chemistry and Technology in Prague, Prague, Czechia.
Lucie HimmlováInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czechia.
Tomáš KučeraInstitute of Histology and Embryology, First Faculty of Medicine, Charles University, Prague, Czechia.
Lenka VavřičkováDepartment of Dentistry, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiffuse reflectance spectroscopy (DRS) is a proposed optical adjunct for caries detection, but its diagnostic accuracy against histology has not been validated alongside its ability to discriminate restorative materials. We aimed to validate DRS in vitro for both tasks.

methodsThis in vitro study comprised two arms. In part 1, 200 occlusal regions of interest from 100 extracted teeth were assessed by DRS (350-1,730 nm) and by two independent examiners using the International Caries Detection and Assessment System (ICDAS), with histological scoring as the reference standard. In part 2, four freshly prepared restorative materials (45 sites each: a self-adhesive resin cement, two resin composites, a resin-modified glass-ionomer) were compared with 37 sound-enamel sites from a separate cohort (one site per tooth). Spectra were classified by partial least squares discriminant analysis (PLS-DA) with specimen-grouped 10-fold cross-validation (sites from a specimen kept in one fold, preventing leakage).

resultsDRS reached 80.5% exact agreement with histology (quadratically weighted κ = 0.916, 95% CI: 0.890-0.939) versus 54.0-57.5% for the visual examiners. At the any-caries threshold (histological score ≥D1), DRS achieved sensitivity 90.8% (95% CI: 84.3-94.8) and specificity 95.0% (87.8-98.0), with four false-positive classifications of sound surfaces against 25 and 23 for ICDAS examiners. The DRS AUC (0.946) exceeded both examiners (0.908 and 0.914), reaching significance against one (DeLong test, p = 0.027). Sensitivity for dentin-level caries was low (37.5%). PLS-DA discriminated the five classes (four materials plus sound enamel) with overall accuracy 99.5% (95% CI: 97.4-99.9).

conclusionIn vitro, DRS showed markedly higher specificity than visual ICDAS scoring for occlusal caries and discriminated four freshly prepared restorative materials from sound enamel. Its low sensitivity for dentin-level lesions and the controlled laboratory conditions warrant cautious interpretation pending in vivo validation.

Indexed as

Dental cariesDiagnostic accuracyDiffuse reflectance spectroscopyICDASRestorative materials

Identifiers

PMID42721064
PMCPMC13688675

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.