Evidence map›Paper›PMID 24729412›Full record

ArticleLasers in surgery and medicine2014

Assessment of early occlusal caries pre- and post-sealant application--an imaging approach.

Jennifer S Holtzman, Jami Ballantine, Margherita Fontana, Alex Wang, Alden Calantog, Erika Benavides, Carlos Gonzalez-Cabezas, Zhongping Chen, Petra Wilder-Smith

Open access · greenAbstract read
In one paragraph

Article in Lasers in surgery and medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 16% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Imaging modalities to inform the detection and diagnosis of early caries.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Pooled it
  3. Fluorescence devices for the detection of dental caries.The Cochrane database of systematic reviews · 2020
    Pooled it
  4. Review
  5. Article
  6. Review
  7. 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

9 authors at 5 institutions in 1 country.

Jennifer S HoltzmanSchool of Dentistry, University of California Los Angeles, Los Angeles, California, 90095.
Jami Ballantine
Margherita Fontana
Alex Wang
Alden Calantog
Erika Benavides
Carlos Gonzalez-Cabezas
Zhongping Chen
Petra Wilder-Smith
University of Michigan–Ann Arbor · USUniversity of California, Irvine · USBeckman Laser Institute and Medical Clinic · USIrvine University · USUniversity of California, Los Angeles · US

Funding

A Low-Cost Simple Oral Cancer Screening Device for Low-Resource SettingsR03EB014852 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI WILDER-SMITH, PETRA E · 2012 to 2015
$249k
NIBIB NIH HHS 5R03EB014852-02NIBIB NIH HHS R03 EB014852
6 · The paper itself

Abstract

BACKGROUND AND

objectiveClinicians have difficulty assessing and monitoring early occlusal caries. Traditional clinical exam and radiographs are unable to detect the subtle alterations in enamel indicative of de- or re-mineralization, particularly under dental sealants. Although clinicians have used laser fluorescence (LF) to address this gap, this modality has demonstrated weak correlation with histology. The International Caries Detection and Assessment System (ICDAS-II) has demonstrated high sensitivity and specificity for caries detection, but since it is based on visual assessment, it is of no use in areas beneath the most commonly used dental sealants which are opaque. Optical coherence tomography (OCT) is an emergent assessment tool which has demonstrated great promise in detecting and quantifying caries, including areas beneath commonly used dental sealants and composites. However, OCT has not yet been widely integrated into clinical dental practice, perhaps because OCT imaging does not provide an easily accessible diagnostic outcome for clinicians. The objective of this ex vivo study was to use OCT-images of sound and carious occlusal surfaces in combination with a simple algorithm to compare the caries detection ability of OCT with tools clinicians may be more familiar with (LF and radiography), and with an established valid and reliable clinical assessment tool (ICDAS-II). STUDY DESIGN/MATERIALS AND

methodsOne hundred twenty extracted teeth with sound or naturally carious occlusal surfaces were imaged with OCT, LF, radiography, and examined clinically with the ICDAS-II. Teeth were randomized to one of two dental sealants recommended for use with LF. A novel simple algorithm was used to interpret OCT-based images. The accuracy of caries severity assessments of the OCT-based diagnosis, LF, ICDAS-II, and digital radiography were compared to the 4-point histological analysis gold standard.

resultsOCT and ICDAS-II caries severity assessments demonstrated high sensitivity (94.0%; 92.3%) and specificity (85.0%; 83.3%), LF demonstrated low sensitivity (65.2%) but high specificity (97.6%), and digital radiography demonstrated low sensitivity (67.1%) with moderate specificity (79.5%) on unsealed occlusal surfaces. OCT-based caries severity assessments of sealed teeth demonstrated high specificity (97.6%), sensitivity (89.9%), excellent positive predictive value (98.6%), and negative predictive value (83.3%). Despite our use of LF recommended dental sealants, in the presence of sealants, LF assessment of caries severity demonstrated high sensitivity (95.1%), but extremely low specificity (10.3%), positive predictive value (68.8%), and negative predictive value (50.0%).

conclusionThis study found that OCT-based imaging combined with a simple diagnostic algorithm accurately assessed the severity of natural early caries on occlusal surfaces in extracted teeth both in the absence and presence of dental sealant. The findings of this study support the clinical use of OCT imaging for assessment and monitoring progression of early non-cavitated caries lesions on occlusal surfaces including areas under dental sealants.

Indexed as

Pit and Fissure SealantsTomography, Optical CoherenceAlgorithmsDental CariesHumansIn Vitro TechniquesPredictive Value of TestsRadiography, Dental, DigitalSensitivity and SpecificityPit and Fissure Sealantsdental cariesdental decaydiagnostic imagingoral diagnosispit and fissure sealantstooth demineralization

Identifiers

PMID24729412
PMCPMC4547624
OpenAlexW2107467815

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.