Results 171 to 180 of about 49,934 (294)

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

Journal 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, Lise Maury, Lory Abrahamian, Youssra Abarchan, Behnam Taghavi, Jose Nart   +5 more
wiley   +1 more source

Diagnostic yield of dental radiography and digital tomosynthesis for the identification of anatomic structures in cats. [PDF]

Front Vet Sci
Soltero-Rivera MM, Nguyen R, Goldschmidt SL, Hatcher DC, Arzi B.   +4 more
europepmc   +1 more source

Development of simple predictive models of tooth loss in the community setting

Journal of Periodontology, EarlyView.
Abstract Background A simple tool for predicting the risk of tooth loss is considered valuable for the implementation of early preventive measures in community settings. This study aimed to establish a simple predictive model for tooth loss in a community‐dwelling Japanese population.
Michiko Furuta, Takanori Honda, Shinya Kageyama, Nanami Sawada, Satoko Sakata, Jun Hata, Toshiharu Ninomiya, Toru Takeshita   +7 more
wiley   +1 more source

Prevalence and local factors associated with radiographic bone loss in primary dentition: A retrospective study

Journal of Periodontology, EarlyView.
Abstract Background This study aimed to evaluate the radiographic bone level in primary molars in a Brazilian population, define the prevalence of bone loss, and identify the local factors associated with early bone alterations. Methods Radiographs of children who attended Piracicaba Dental School (Brazil) between 2014 and 2020 were evaluated.
Murilo C. Paraluppi, Camila S. Stolf, Bianca Mendes, Marcio Z. Casati, Karina G. Silvério, Enilson A. Sallum, Renato C. V. Casarin, Mabelle F. Monteiro   +7 more
wiley   +1 more source

Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis. [PDF]

Dentomaxillofac Radiol
Sadr S, Rokhshad R, Daghighi Y, Golkar M, Tolooie Kheybari F, Gorjinejad F, Mataji Kojori A, Rahimirad P, Shobeiri P, Mahdian M, Mohammad-Rahimi H.   +10 more
europepmc   +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

Journal 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, Matheus L. Oliveira, Dorothea Dagassan‐Berndt, Michelle Simonek, Sebastian Kühl, Michael M. Bornstein   +5 more
wiley   +1 more source

Association between serum α‐Klotho levels and severity of periodontitis in a representative U.S. population

Journal of Periodontology, EarlyView.
Abstract Background Periodontitis, a chronic inflammatory disease, is linked to systemic conditions such as cardiovascular and kidney disease. Serum α‐Klotho, an anti‐aging protein with anti‐inflammatory properties, has been associated with systemic diseases, but its role in periodontitis is unclear.
Hamoun Sabri, Sahar Baniameri, Pranav Kataria, Hend Abulatifa, Parham Hazrati, Hom‐Lay Wang, Muhammad H. A. Saleh   +6 more
wiley   +1 more source

TMJ pathology: is it real? [PDF]

Witte, T H
core   +1 more source

Dental radiography: Vanishing implant [PDF]

British Dental Journal, 2017
openaire   +2 more sources