Fundamentals of Radiographic Interpretation for the Dentist.

Cone beam computed tomography Diagnosis Digital radiography Medicolegal Radiology Selection criteria

Journal

Dental clinics of North America
ISSN: 1558-0512
Titre abrégé: Dent Clin North Am
Pays: United States
ID NLM: 0217440

Informations de publication

Date de publication:
07 2021
Historique:
entrez: 30 5 2021
pubmed: 31 5 2021
medline: 25 6 2021
Statut: ppublish

Résumé

Radiographic imaging is an integral part of the diagnostic process in clinical dentistry. This article provides the fundamentals of radiographic interpretation beginning with evidence-based guidelines on dental radiographic selection criteria and cone beam computed tomography use. The goal is to present to the reader with a systematic approach to radiographic interpretation such that no significant features are overlooked and an optimal differential diagnosis can be achieved. In addition, medicolegal considerations of radiographic acquisition, interpretation, and storage are discussed.

Identifiants

pubmed: 34051923
pii: S0011-8532(21)00013-6
doi: 10.1016/j.cden.2021.02.001
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

409-425

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures The authors have nothing to disclose.

Auteurs

Irene H Kim (IH)

University of Pennsylvania School of Dental Medicine, 240 South 40th Street, Suite 214, Philadelphia, PA 19104, USA.

Steven R Singer (SR)

Department of Diagnostic Sciences, Rutgers School of Dental Medicine, 110 Bergen Street, Room D-885A, Newark, NJ 07103, USA.

Derek J Hong (DJ)

Division of Oral and Maxillofacial Radiology, University of Pennsylvania School of Dental Medicine, 240 South 40th Street, Suite 214, Philadelphia, PA 19104, USA.

Mel Mupparapu (M)

University of Pennsylvania School of Dental Medicine, 240 South 40th Street, Suite 214, Philadelphia, PA 19104, USA. Electronic address: mmd@upenn.edu.

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Classifications MeSH