Results 191 to 200 of about 188,918 (311)

Are the detection and dimensions of peri‐implant buccal bone defects influenced by different implant materials and their location? An experimental cone‐beam computed tomography study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background The aim of this study is to evaluate the impact of different implant materials and arrangements within the field of view (FOV) and exomass on the diagnostic accuracy and image quality of cone‐beam computed tomography (CBCT) for the detection of peri‐implant buccal bone defects of various sizes. Methods A total of 120 CBCT scans with
Yulan Wang   +5 more
wiley   +1 more source

A randomized controlled trial of home‐applied dual‐light photodynamic therapy during supportive periodontal care (HOPE‐CP study)

open access: yesJournal of Periodontology, EarlyView.
Abstract Background Periodontitis is a common, chronic inflammatory disease that relies heavily on effective daily oral hygiene for long‐term control. Light‐based therapies have demonstrated strong antibacterial potential; however, their effectiveness in regular home use remains unexplored.
Saila Pakarinen   +10 more
wiley   +1 more source

The effect of bioactive membrane in alveolar ridge preservation: A double‐blind randomized clinical trial

open access: yesJournal of Periodontology, EarlyView.
Abstract Background This randomized controlled trial aims to evaluate alveolar ridge preservation (ARP) with or without a biologically active amnion–chorion membrane (BACM). Methods Thirty patients requiring tooth extraction in the esthetic zone were randomly assigned to 2 groups.
Magdalena Orlowska   +8 more
wiley   +1 more source

[Study of dental arch width in patients with idiopathic condylar resorption]. [PDF]

open access: yesLin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2023
Chen X, Chen P, Ma S, Liang Y, Xu L.
europepmc   +1 more source

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

open access: yesJournal of Periodontology, EarlyView.
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

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