Literature DB >> 20141362

What is an appropriate caries diagnosis?

Vibeke Baelum1.   

Abstract

This aim of this paper is to spur a discussion of the direction of caries-lesion detection activities in clinical dental practice. It is argued that since the dental clinician's caries-related decision making is a script-matching enterprise in which clinical decisions are made on the basis of 'this-lesion-needs-this-kind-of-treatment' reasoning, the methods and strategies employed for caries lesion detection should accommodate this fact. This may be done by employing a clinical visual-tactile method for caries lesion detection that evaluates the two aspects that are crucial for appropriate caries management: lesion activity and surface integrity. The use of diagnostic methods that do not assess these features directly but involve assumptions about activity status and surface integrity should be avoided. This includes the use of bite-wing radiography for the detection of approximal caries lesions, as it may be shown that plain reliance on radiographs leads to considerable overtreatment. If clinical dentistry is to retain its status as a profession committed to doing good, changes in diagnostic practices along these lines are warranted.

Entities:  

Mesh:

Year:  2010        PMID: 20141362     DOI: 10.3109/00016350903530786

Source DB:  PubMed          Journal:  Acta Odontol Scand        ISSN: 0001-6357            Impact factor:   2.331


  18 in total

1.  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

2.  Ex vivo evaluation of new 2D and 3D dental radiographic technology for detecting caries.

Authors:  Laurence Gaalaas; Donald Tyndall; André Mol; Eric T Everett; Ananta Bangdiwala
Journal:  Dentomaxillofac Radiol       Date:  2015-12-16       Impact factor: 2.419

3.  Diagnostic performance of a new red light LED device for approximal caries detection.

Authors:  Klaus W Neuhaus; Philip Ciucchi; Jonas Almeida Rodrigues; Isabelle Hug; Marta Emerich; Adrian Lussi
Journal:  Lasers Med Sci       Date:  2014-06-07       Impact factor: 3.161

4.  Validation of Visual Caries Activity Assessment: A 2-yr Cohort Study.

Authors:  R S Guedes; C Piovesan; T M Ardenghi; B Emmanuelli; M M Braga; K R Ekstrand; F M Mendes
Journal:  J Dent Res       Date:  2014-04-08       Impact factor: 6.116

5.  Evaluation of occlusal caries detection and assessment by visual inspection, digital bitewing radiography and near-infrared light transillumination.

Authors:  Gerrit Schaefer; Vinay Pitchika; Friederike Litzenburger; Reinhard Hickel; Jan Kühnisch
Journal:  Clin Oral Investig       Date:  2018-06-18       Impact factor: 3.573

6.  Proximal caries lesion detection in primary teeth: does this justify the association of diagnostic methods?

Authors:  D G Bussaneli; M Restrepo; T Boldieri; T H Albertoni; L Santos-Pinto; R C L Cordeiro
Journal:  Lasers Med Sci       Date:  2015-08-19       Impact factor: 3.161

7.  In vitro comparison of two types of digital X-ray sensors for proximal caries detection validated by micro-computed tomography.

Authors:  Katrin Heck; Friederike Litzenburger; Verena Ullmann; Lea Hoffmann; Karl-Heinz Kunzelmann
Journal:  Dentomaxillofac Radiol       Date:  2020-08-27       Impact factor: 2.419

8.  Optical magnification has no benefits on the detection of occlusal caries lesions in permanent molars using different visual scoring systems: An in vitro study.

Authors:  Sabrina Wilde; Priscila-Hernández Campos; Ana-Paula-Marçal Marcondes; Cacio Moura-Netto; Tatiane-Fernandes Novaes; Adrian Lussi; Michele-Baffi Diniz
Journal:  J Clin Exp Dent       Date:  2020-05-01

9.  Comparison of photographic and visual assessment of occlusal caries with histology as the reference standard.

Authors:  Uriana Boye; Tanya Walsh; Iain A Pretty; Martin Tickle
Journal:  BMC Oral Health       Date:  2012-04-27       Impact factor: 2.757

10.  Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs.

Authors:  Yusuf Bayraktar; Enes Ayan
Journal:  Clin Oral Investig       Date:  2021-06-25       Impact factor: 3.606

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.