How Clinical and Radiological Findings in Chronic Mandibular Osteomyelitis Do Not Always Correlate: Diagnostic Dilemmas in Dental-Related Bone Inflammations. [PDF]
Nelke K +9 more
europepmc +1 more source
Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee +9 more
wiley +1 more source
Anatomical Predictors of Second Molar External Root Resorption: A Cone-Beam Computed Tomography Study of Impacted Third Molars. [PDF]
Wang M +6 more
europepmc +1 more source
Predictability of a dental implant prognosis system: A retrospective study
Abstract Background This study aimed to evaluate the predictability of the dental implant prognosis system proposed by Kwok et al. in 2023 by assessing implant survival rates across different initial prognosis categories over a 5‐year period. Methods Data were retrospectively collected from patients who received at least one dental implant from 2013 ...
Kristen Young +4 more
wiley +1 more source
Association Between Clinical Signs and CBCT-Confirmed TMJ Involvement in Juvenile Idiopathic Arthritis: The Diagnostic Value of Facial Asymmetry and Mandibular Mobility. [PDF]
Pawlaczyk-Kamieńska T, Kulczyk T.
europepmc +1 more source
Dasatinib and quercetin prevent alveolar bone loss in aged mice
Abstract Background Recent findings have associated alveolar bone loss (ABL) with the presence of senescent cells. Aging and the accumulation of senescent cells are associated with a pro‐inflammatory environment which may exacerbate tissue damage.
Luisa S. Battistelli +7 more
wiley +1 more source
Head of the Syrian Hamster (<i>Mesocricetus auratus</i>): Planar Anatomy with Correlative Micro-Computed Tomography and Magnetic Resonance Imaging. [PDF]
Nourinezhad J +4 more
europepmc +1 more source
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley +1 more source
Effect of C5a Receptor Antagonist on the Osteogenic Differentiation of Dental Pulp Stem Cells. [PDF]
Tan X +7 more
europepmc +1 more source

