Impact of mounting methods in computerized axiography on assessment of condylar inclination

Pantography computerized axiography jaw tracker occlusal clutch sagittal and horizontal condylar inclination young adults

Journal

Cranio : the journal of craniomandibular practice
ISSN: 2151-0903
Titre abrégé: Cranio
Pays: England
ID NLM: 8609491

Informations de publication

Date de publication:
Jan 2019
Historique:
pubmed: 31 8 2017
medline: 14 6 2019
entrez: 31 8 2017
Statut: ppublish

Résumé

Valid and reliable recording is a key requirement for accurately simulating individual jaw movements. Horizontal condylar inclination (HCI) and Bennett's angle were measured using a digital jaw tracker (Cadiax® Compact 2) in 27 young adults. Three mounting methods (paraocclusal tray adapter, periocclusal tray adapter, and tray adapter with mandibular clamp) were tested. The mean values of the HCI differed by up to 10° between the mounting methods; however, the values for Bennett's angle did not differ substantially. While the intersession reliability of the Bennett's angle assessment did not depend on the mounting method, the reliability of the HCI assessment was only fair to good for the paraocclusal mounting method but poor for both periocclusal mounting methods. For attaching the tracing bow of jaw trackers to the mandible, a paraocclusal tray adapter should be applied, to achieve the most reliable results.

Identifiants

pubmed: 28854058
doi: 10.1080/08869634.2017.1367060
doi:

Types de publication

Journal Article

Langues

eng

Pagination

60-67

Auteurs

Oliver Schierz (O)

a Department of Prosthodontics and Materials Science , University of Leipzig , Leipzig , Germany.

Philipp Wagner (P)

b Private Dental Practice , Weissenfels , Germany.

Angelika Rauch (A)

a Department of Prosthodontics and Materials Science , University of Leipzig , Leipzig , Germany.

Daniel R Reissmann (DR)

c Department of Prosthetic Dentistry, Center for Dental and Oral Medicine , University Medical Center Hamburg-Eppendorf , Hamburg , Germany.

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Classifications MeSH