Literature DB >> 34067332

The Chairside Periodontal Diagnostic Toolkit: Past, Present, and Future.

Tae-Jun Ko1, Kevin M Byrd1, Shin Ae Kim1.   

Abstract

Periodontal diseases comprise a group of globally prevalent, chronic oral inflammatory conditions caused by microbial dysbiosis and the host immune response. These diseases specifically affect the tooth-supporting tissues (i.e., the periodontium) but are also known to contribute to systemic inflammation. If left untreated, periodontal diseases can ultimately progress to tooth loss, lead to compromised oral function, and negatively impact the overall quality of life. Therefore, it is important for the clinician to accurately diagnose these diseases both early and accurately chairside. Currently, the staging and grading of periodontal diseases are based on recording medical and dental histories, thorough oral examination, and multiple clinical and radiographic analyses of the periodontium. There have been numerous attempts to improve, automate, and digitize the collection of this information with varied success. Recent studies focused on the subgingival microbiome and the host immune response suggest there is an untapped potential for non-invasive oral sampling to assist clinicians in the chairside diagnosis and, potentially, prognosis. Here, we review the available toolkit available for diagnosing periodontal diseases, discuss commercially available options, and highlight the need for collaborative research initiatives and state-of-the-art technology development across disciplines to overcome the challenges of rapid periodontal disease diagnosis.

Entities:  

Keywords:  biomarkers; dental equipment; diagnostic imaging; oral diagnosis; periodontal diseases; periodontal probe

Year:  2021        PMID: 34067332     DOI: 10.3390/diagnostics11060932

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  143 in total

Review 1.  Case definitions for use in population-based surveillance of periodontitis.

Authors:  Roy C Page; Paul I Eke
Journal:  J Periodontol       Date:  2007-07       Impact factor: 6.993

2.  Bone density assessments of dental implant sites: 3. Bone quality evaluation during osteotomy and implant placement.

Authors:  Scott Lee; Bernard Gantes; Matt Riggs; Max Crigger
Journal:  Int J Oral Maxillofac Implants       Date:  2007 Mar-Apr       Impact factor: 2.804

3.  Acute periodontal lesions (periodontal abscesses and necrotizing periodontal diseases) and endo-periodontal lesions.

Authors:  David Herrera; Belén Retamal-Valdes; Bettina Alonso; Magda Feres
Journal:  J Clin Periodontol       Date:  2018-06       Impact factor: 8.728

4.  The use of cone-beam computed tomography in dentistry: an advisory statement from the American Dental Association Council on Scientific Affairs.

Authors: 
Journal:  J Am Dent Assoc       Date:  2012-08       Impact factor: 3.634

5.  Electronic registration of tooth movements.

Authors:  K H Körber
Journal:  Int Dent J       Date:  1971-12-04       Impact factor: 2.512

6.  Bacterial diversity in human subgingival plaque.

Authors:  B J Paster; S K Boches; J L Galvin; R E Ericson; C N Lau; V A Levanos; A Sahasrabudhe; F E Dewhirst
Journal:  J Bacteriol       Date:  2001-06       Impact factor: 3.490

7.  Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.

Authors:  Jae-Hong Lee; Do-Hyung Kim; Seong-Nyum Jeong; Seong-Ho Choi
Journal:  J Dent       Date:  2018-07-26       Impact factor: 4.379

8.  Evaluation of four different optimized magnetic-resonance-imaging sequences for visualization of dental and maxillo-mandibular structures at 3 T.

Authors:  Alexandre T Assaf; Tomislav A Zrnc; Chressen C Remus; Michael Schönfeld; Christian R Habermann; Björn Riecke; Reinhard E Friedrich; Jens Fiehler; Max Heiland; Jan Sedlacik
Journal:  J Craniomaxillofac Surg       Date:  2014-04-13       Impact factor: 2.078

9.  Digital scanning is more accurate than using a periodontal probe to measure the keratinized tissue width.

Authors:  Jung-Seok Lee; Yoon-Sun Jeon; Franz-Josef Strauss; Hoi-In Jung; Reinhard Gruber
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

10.  Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm.

Authors:  Jae-Hong Lee; Do-Hyung Kim; Seong-Nyum Jeong; Seong-Ho Choi
Journal:  J Periodontal Implant Sci       Date:  2018-04-30       Impact factor: 2.614

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  1 in total

1.  Clinical Assessment of the Hyperbaric Oxygen Therapy Efficacy in Mild to Moderate Periodontal Affections: A Simple Randomised Trial.

Authors:  Alexandru Burcea; Laurenta Lelia Mihai; Anamaria Bechir; Mircea Suciu; Edwin Sever Bechir
Journal:  Medicina (Kaunas)       Date:  2022-02-04       Impact factor: 2.430

  1 in total

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