Literature DB >> 29227160

Inter- and intraexaminer reliability of bitewing radiography and near-infrared light transillumination for proximal caries detection and assessment.

Friederike Litzenburger1, Katrin Heck1, Vinay Pitchika1, Klaus W Neuhaus2, Fabian N Jost2, Reinhard Hickel1, Anahita Jablonski-Momeni3, Alexander Welk4, Alexander Lederer1, Jan Kühnisch1.   

Abstract

OBJECTIVES: The purpose of this in vitro study was to evaluate the inter- and intraexaminer reliability of digital bitewing (DBW) radiography and near-infrared light transillumination (NIRT) for proximal caries detection and assessment in posterior teeth.
METHODS: From a pool of 85 patients, 100 corresponding pairs of DBW and NIRT images (~1/3 healthy, ~1/3 with enamel caries and ~1/3 with dentin caries) were chosen. 12 dentists with different professional status and clinical experience repeated the evaluation in two blinded cycles. Two experienced dentists provided a reference diagnosis after analysing all images independently. Statistical analysis included the calculation of simple (κ) and weighted Kappa (wκ) values as a measure of reliability. Logistic regression with a backward elimination model was used to investigate the influence of the diagnostic method, evaluation cycle, type of tooth, and clinical experience on reliability.
RESULTS: Altogether, inter- and intraexaminer reliability exhibited good to excellent κ and wκ values for DBW radiography (Inter: κ = 0.60/ 0.63; wκ = 0.74/0.76; Intra: κ = 0.64; wκ = 0.77) and NIRT (Inter: κ = 0.74/0.64; wκ = 0.86/0.82; Intra: κ = 0.68; wκ = 0.84). The backward elimination model revealed NIRT to be significantly more reliable than DBW radiography.
CONCLUSIONS: This study revealed a good to excellent inter- and intraexaminer reliability for proximal caries detection using DBW and NIRT images. The logistic regression analysis revealed significantly better reliability for NIRT. Additionally, the first evaluation cycle was more reliable according to the reference diagnoses.

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Year:  2018        PMID: 29227160      PMCID: PMC6047636          DOI: 10.1259/dmfr.20170292

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  18 in total

1.  Nature of light scattering in dental enamel and dentin at visible and near-infrared wavelengths.

Authors:  D Fried; R E Glena; J D Featherstone; W Seka
Journal:  Appl Opt       Date:  1995-03-01       Impact factor: 1.980

2.  In vivo validation of near-infrared light transillumination for interproximal dentin caries detection.

Authors:  Jan Kühnisch; Friederike Söchtig; Vinay Pitchika; Rüdiger Laubender; Klaus W Neuhaus; Adrian Lussi; Reinhard Hickel
Journal:  Clin Oral Investig       Date:  2015-09-15       Impact factor: 3.573

Review 3.  Early caries imaging and monitoring with near-infrared light.

Authors:  Daniel Fried; John D B Featherstone; Cynthia L Darling; Robert S Jones; Patara Ngaotheppitak; Christopher M Bühler
Journal:  Dent Clin North Am       Date:  2005-10

4.  A novel classification system for assessment of approximal caries lesion progression in bitewing radiographs.

Authors:  Anna Senneby; Margareta Elfvin; Christina Stebring-Franzon; Madeleine Rohlin
Journal:  Dentomaxillofac Radiol       Date:  2016-04-04       Impact factor: 2.419

5.  Underestimation of the prevalence of approximal caries and inadequate restorations in a clinical epidemiological study.

Authors:  J H Poorterman; I H Aartman; H Kalsbeek
Journal:  Community Dent Oral Epidemiol       Date:  1999-10       Impact factor: 3.383

6.  Interpretation of bitewing radiographs: application of the kappa statistic to determine rater agreements.

Authors:  R P Langlais; L J Skoczylas; T J Prihoda; O E Langland; T Schiff
Journal:  Oral Surg Oral Med Oral Pathol       Date:  1987-12

7.  A standardized system of recording dental conditions.

Authors:  T M Marthaler
Journal:  Helv Odontol Acta       Date:  1966-04

8.  Caries detection and diagnostics with near-infrared light transillumination: clinical experiences.

Authors:  Friederike Söchtig; Reinhard Hickel; Jan Kühnisch
Journal:  Quintessence Int       Date:  2014-06       Impact factor: 1.677

9.  Propagation of light through human dental enamel and dentine.

Authors:  J Vaarkamp; J J ten Bosch; E H Verdonschot
Journal:  Caries Res       Date:  1995       Impact factor: 4.056

10.  Imaging of occlusal dental caries (decay) with near-IR light at 1310-nm.

Authors:  Christopher Bühler; Patara Ngaotheppitak; Daniel Fried
Journal:  Opt Express       Date:  2005-01-24       Impact factor: 3.894

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  4 in total

1.  Caries Detection with Near-Infrared Transillumination Using Deep Learning.

Authors:  F Casalegno; T Newton; R Daher; M Abdelaziz; A Lodi-Rizzini; F Schürmann; I Krejci; H Markram
Journal:  J Dent Res       Date:  2019-08-26       Impact factor: 6.116

2.  Combined Near-Infrarred Light Transillumination and Direct Digital Radiography Increases Diagnostic In Approximal Caries.

Authors:  Maria Melo; Agustin Pascual; Isabel Camps; Fadi Ata-Ali; Javier Ata-Ali
Journal:  Sci Rep       Date:  2019-10-02       Impact factor: 4.379

3.  Caries Detection on Intraoral Images Using Artificial Intelligence.

Authors:  J Kühnisch; O Meyer; M Hesenius; R Hickel; V Gruhn
Journal:  J Dent Res       Date:  2021-08-20       Impact factor: 6.116

4.  Evaluation of different methods for the diagnosis of primary caries lesions: Study protocol for a randomized controlled clinical trial.

Authors:  Ana Paula Taboada Sobral; Marcela Letícia Leal Gonçalves; Alexandre Senkiw D Annibale; Elaine Marcilio Santos; Carolina Cardoso Guedes; Juliana Maria Altavista Sagretti Gallo; Elza Padilha Ferri; Lívia Alves Corrêa Moretti; Lara Jansiski Motta; Alessandro Melo Deana; Anna Carolina Ratto Tempestini Horliana; Sandra Kalil Bussadori
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

  4 in total

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