Results 181 to 190 of about 1,831,651 (283)

Odontological studies on temporomandibular joint arthrosis in young people. With special reference on malocclusion and survey of dental arch.

open access: bronze, 1987
Yasuhisa Mineno   +7 more
openalex   +2 more sources

Temporomandibular Disorders in Brain Injury Patients and Diagnostic Accuracy of the Assessment Tools

open access: yesOral Diseases, EarlyView.
ABSTRACT Objectives To evaluate the presence, severity and progression of temporomandibular disorders (TMD) in acquired brain injury (ABI) population and determine the diagnostic accuracy of 3Q/TMD and Fonseca Anamnestic Index (FAI) against the gold standard, Diagnostic Criteria for TMD (DC/TMD).
Mohit Kothari   +6 more
wiley   +1 more source

Progress in the Study of Temporomandibular Joint Lavage in Temporomandibular Joint Disorder

open access: yesJournal of Multidisciplinary Healthcare
Lihan Zheng,1 Lixia Gao,1 Yaohui Hu,1 Liqun Zhang,2,* Ye Guan1,* 1Savaid Stomatology School, Hangzhou Medical College, Hangzhou, Zhejiang, 310053, People’s Republic of China; 2Department of Periodontics, Stomatological Hospital of Lin’an District,
Zheng L, Gao L, Hu Y, Zhang L, Guan Y
doaj  

Serum Biomarkers and Their Clinical Correlates in Traumatic Trigeminal Neuropathy: A Pilot Study

open access: yesOral Diseases, EarlyView.
ABSTRACT Objectives This study aims to investigate the serum biomarker levels in patients with painful post‐traumatic trigeminal neuropathy (PPTTN) and explore the associations between these biomarkers and the clinical and psychological characteristics of the patients. Materials and Methods A total of 32 patients with PPTTN were included.
Hye‐Kyoung Kim   +2 more
wiley   +1 more source

An examination on magnetic resonance imaging of the temporomandibular joint.

open access: bronze, 1988
Choichiro FUNAMOTO   +4 more
openalex   +2 more sources

Statistical Validation of Unsupervised Clustering for Adolescent TMD: A Cross‐Sectional Study

open access: yesOral Diseases, EarlyView.
ABSTRACT Objective This study employs unsupervised clustering to identify Temporomandibular disorders (TMD) phenotypes in adolescents, aiming to identify distinct clusters based on biopsychosocial features. It compares these clusters with conventional TMD classifications to assess if this method offers enhanced insights into TMD diagnosis. Methods Data
Hye Kyoung Kim
wiley   +1 more source

Temporomandibular Joint Disorders in Older Adults

open access: yesJournal of The American Geriatrics Society, 2018
S. Yadav   +4 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy