Radiographic diagnosis of periodontal diseases - Current evidence versus innovations
- PMID: 38831570
- DOI: 10.1111/prd.12580
Radiographic diagnosis of periodontal diseases - Current evidence versus innovations
Abstract
Accurate diagnosis of periodontal and peri-implant diseases relies significantly on radiographic examination, especially for assessing alveolar bone levels, bone defect morphology, and bone quality. This narrative review aimed to comprehensively outline the current state-of-the-art in radiographic diagnosis of alveolar bone diseases, covering both two-dimensional (2D) and three-dimensional (3D) modalities. Additionally, this review explores recent technological advances in periodontal imaging diagnosis, focusing on their potential integration into clinical practice. Clinical probing and intraoral radiography, while crucial, encounter limitations in effectively assessing complex periodontal bone defects. Recognizing these challenges, 3D imaging modalities, such as cone beam computed tomography (CBCT), have been explored for a more comprehensive understanding of periodontal structures. The significance of the radiographic assessment approach is evidenced by its ability to offer an objective and standardized means of evaluating hard tissues, reducing variability associated with manual clinical measurements and contributing to a more precise diagnosis of periodontal health. However, clinicians should be aware of challenges related to CBCT imaging assessment, including beam-hardening artifacts generated by the high-density materials present in the field of view, which might affect image quality. Integration of digital technologies, such as artificial intelligence-based tools in intraoral radiography software, the enhances the diagnostic process. The overarching recommendation is a judicious combination of CBCT and digital intraoral radiography for enhanced periodontal bone assessment. Therefore, it is crucial for clinicians to weigh the benefits against the risks associated with higher radiation exposure on a case-by-case basis, prioritizing patient safety and treatment outcomes.
Keywords: CBCT; artificial intelligence; intra‐oral radiography; panoramic radiography; periodontal disease.
© 2024 The Author(s). Periodontology 2000 published by John Wiley & Sons Ltd.
References
REFERENCES
-
- Tonetti MS, Greenwell H, Kornman KS. Staging and grading of periodontitis: framework and proposal of a new classification and case definition. J Periodontol. 2018;Suppl 1:S159‐S172. doi:10.1002/JPER.18-0006
-
- Caton JG, Armitage G, Berglundh T, et al. A new classification scheme for periodontal and peri‐implant diseases and conditions – introduction and key changes from the 1999 classification. J Periodontol. 2018;89(Suppl 1):S1‐S8. doi:10.1002/JPER.18-0157
-
- Chapple ILC, Mealey BL, Van Dyke TE, et al. Periodontal health and gingival diseases and conditions on an intact and a reduced periodontium: consensus report of workgroup 1 of the 2017 world workshop on the classification of periodontal and peri‐implant diseases and conditions. J Clin Periodontol. 2018;45(Suppl 20):S68‐S77. doi:10.1111/jcpe.12940
-
- Papapanou PN, Sanz M, Buduneli N, et al. Periodontitis: consensus report of workgroup 2 of the 2017 world workshop on the classification of periodontal and peri‐implant diseases and conditions. J Clin Periodontol. 2018;45(Suppl 20):S162‐S170. doi:10.1111/jcpe.12946
-
- Dietrich T, Ower P, Tank M, et al. Periodontal diagnosis in the context of the 2017 classification system of periodontal diseases and conditions – implementation in clinical practice. Br Dent J. 2019;226:16‐22. doi:10.1038/sj.bdj.2019.3
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