Literature DB >> 19932338

Identify and determine the metrics, hierarchy, and predictive value of all the parameters and/or methods used during endodontic diagnosis.

Carl W Newton1, Michael M Hoen, Harold E Goodis, Bradford R Johnson, Scott B McClanahan.   

Abstract

A Consensus Conference on Terminology was convened by the American Association of Endodontists in Chicago on Oct 3, 2008 to review solicited papers on focused questions. This paper addressed the question: Identify and determine the metrics, hierarchy, and predictive value of all the parameters and/or methods used during endodontic diagnosis. The best available clinical evidence was used to determine the sensitivity, specificity, and predictive value of pulpal and periapical testing methods and imaging technologies. Diagnosis of dental pulp diseases suffers from operator's inability to test/image that tissue directly due to its location within dentin. In general, current pulp tests are more valid in determining teeth that are free of disease, but less effective in identifying teeth with pulp disease. Radiographic imaging is probably the most commonly used diagnostic tool to determine the status of root-supporting tissue, although interpretation of structural changes in the periradicular tissues is still considered unreliable.

Entities:  

Mesh:

Year:  2009        PMID: 19932338     DOI: 10.1016/j.joen.2009.09.033

Source DB:  PubMed          Journal:  J Endod        ISSN: 0099-2399            Impact factor:   4.171


  7 in total

1.  Resolution of endodontic issues linked to complex anatomy.

Authors:  Guido Migliau; Erlind Pepla; Laith Kostantinos Besharat; Livio Gallottini
Journal:  Ann Stomatol (Roma)       Date:  2014-03-31

2.  Differential diagnoses for persistent pain after root canal treatment: a study in the National Dental Practice-based Research Network.

Authors:  Donald R Nixdorf; Alan S Law; Mike T John; Radwa M Sobieh; Richie Kohli; Ruby H N Nguyen
Journal:  J Endod       Date:  2015-02-27       Impact factor: 4.171

3.  Dental magnetic resonance imaging: making the invisible visible.

Authors:  Djaudat Idiyatullin; Curt Corum; Steen Moeller; Hari S Prasad; Michael Garwood; Donald R Nixdorf
Journal:  J Endod       Date:  2011-04-06       Impact factor: 4.171

4.  Comparison of computed tomography and high-field (3.0 T) magnetic resonance imaging of age-related variances in selected equine maxillary cheek teeth and adjacent tissues.

Authors:  Christin Schoppe; Maren Hellige; Karl Rohn; Bernhard Ohnesorge; Astrid Bienert-Zeit
Journal:  BMC Vet Res       Date:  2017-09-06       Impact factor: 2.741

5.  Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner.

Authors:  José M Algarín; Elena Díaz-Caballero; José Borreguero; Fernando Galve; Daniel Grau-Ruiz; Juan P Rigla; Rubén Bosch; José M González; Eduardo Pallás; Miguel Corberán; Carlos Gramage; Santiago Aja-Fernández; Alfonso Ríos; José M Benlloch; Joseba Alonso
Journal:  Sci Rep       Date:  2020-12-08       Impact factor: 4.379

Review 6.  Diagnosis: Fundamental Principles and Methods.

Authors:  Martin S Gale
Journal:  Cureus       Date:  2022-09-03

7.  Influence of occlusal reduction on pain after endodontic treatment: a systematic review and meta-analysis.

Authors:  Nayane Chagas Carvalho Alves; Sirley Raiane Mamede Veloso; Silmara de Andrade Silva; Andressa Cartaxo de Almeida; Christianne Tavares Velozo Telles; Kaline Romeiro; Gabriela Queiroz de Melo Monteiro; Diana Santana de Albuquerque
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

  7 in total

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