Evidence map›Paper›PMID 30693402›Full record

ArticleClinical oral investigations2019

In vitro validation of near-infrared transillumination at 780 nm for the detection of caries on proximal surfaces.

Alexander Lederer, Karl-Heinz Kunzelmann, Katrin Heck, Reinhard Hickel, Friederike Litzenburger

Registry-linked trialAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical oral investigations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05362461 (Diagnostic Ability of Near Infrared Transillumination), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05362461 unknown statusnot on this mapstarted 2022, after this paper: background citation

Diagnostic Ability of Near Infrared Transillumination (NIRT, CariVu™) for Detecting Interproximal Caries as Compared to Conventional Bitewing Radiographs

TypeobservationalSponsorUniversity of Colorado, DenverRan2022 to 2023Enrolled50ConditionsCaries,DentalArmsNear Infrared Transillumination
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Occlusal Caries Detection and Diagnosis Using Visual ICDAS Criteria, Laser Fluorescence Measurements, and Near-Infrared Light Transillumination Images.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander LedererDepartment of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Goethestrasse 70, 80336, Munich, Germany. aleder@dent.med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-0024-0656
Karl-Heinz KunzelmannDepartment of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Goethestrasse 70, 80336, Munich, Germany.
Katrin HeckDepartment of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Goethestrasse 70, 80336, Munich, Germany.
Reinhard HickelDepartment of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Goethestrasse 70, 80336, Munich, Germany.
Friederike LitzenburgerDepartment of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Goethestrasse 70, 80336, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of the present in vitro study was to determine the ability of Diagnocam to detect caries at an early stage and to compare it with digital radiography. MATERIALS AND

methodsOne hundred twenty proximal surfaces composed equally of sound and decayed surfaces were evaluated by assessing images captured with Diagnocam (Kavo, Biberach, Germany) and digital radiography (DR). All images were assessed twice by two calibrated dentists with a minimum interval of 2 weeks between examinations. The results were compared with μCT scans.

resultsInter-rater reliability showed nearly perfect agreement; a high intra-rater reliability was calculated. Spearman's rank correlation coefficients showed a strong correlation of Diagnocam and μCT (0.82). DR and μCT achieved a slightly lower correlation (0.73). The surfaces were categorized into sound surfaces, enamel lesions, and dentin lesions to determine intraclass correlation coefficients (ICCs), sensitivity and specificity. ICCs between μCT and DR ranged from 0.20 to 0.63. ICCs between Diagnocam and DR were higher in all categories and ranged from 0.56 to 0.83. Sensitivity, specificity, and accuracy of Diagnocam achieved mostly higher values than DR. In detecting enamel lesions, sensitivity was 0.36 for DR and 0.59 for the DC. The areas under the receiver operating characteristic (ROC) curves of Diagnocam were larger than those of DR in all categories.

conclusionsDiagnocam is more capable of detecting initial proximal lesions than DR and also has a higher sensitivity for dentin lesions. However, caries progression in dentin cannot be reliably determined with Diagnocam. CLINICAL RELEVANCE: Diagnocam may be suitable as a supplement to X-ray diagnostics in clinical use.

Indexed as

Dental CariesTransilluminationGermanyHumansRadiography, Dental, DigitalReproducibility of ResultsROC CurveSensitivity and SpecificityCaries detectionIn vitroNear-infrared lightProximal cariesTransilluminationX-ray microtomography

Identifiers

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Registered trials

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.