Results 171 to 180 of about 41,818 (249)

Digital and tomographic identification of risk indicators for gingival recession in the mandibular anterior region: A cross‐sectional study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background To assess clinical and anatomical risk indicators for mid‐buccal gingival recessions (GRs) in the mandibular anterior region using digital and tomographic tools. Methods A cross‐sectional study was conducted on 103 patients (618 teeth).
Gonzalo Blasi   +5 more
wiley   +1 more source

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

Volumetric evaluation of the maxillary sinus using cone-beam computed tomography. [PDF]

open access: yesBMC Oral Health
Ozsoy SC   +6 more
europepmc   +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

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement

open access: yesJournal of Periodontology, EarlyView.
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

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