Subramaniam Deepa, Swamikannu Bhumimathan, Raghavan R Narasimha, Keshavan V, Rajendran Karthikeyan P, Rahman M Abdur
Department of Dental Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Registrar, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
J Pharm Bioallied Sci. 2025 Sep;17(Suppl 3):S2060-S2066. doi: 10.4103/jpbs.jpbs_1159_25. Epub 2025 Sep 24.
The very beginning of periodontal diagnosis began with ancient civilizations. The development of periodontology as a specialized discipline in the 20 century resulted in the creation of uniform diagnostic standards and classification schemes. Due to interdisciplinary collaborations, scientific improvements, and a growing awareness of the intricate etiology and pathophysiology of periodontal diseases, periodontal diagnosis is still evolving. This review aims to trace the pathway of periodontal diagnosis over time. It has included clinical examination, radiography, periodontal probing and charting, microbiological analysis, computer-aided diagnosis, salivary diagnostics and biomarkers, advancements in imaging techniques, and genetic and molecular diagnostics and to end with artificial intelligence and machine learning for diagnosis.
牙周病诊断的起源可追溯到古代文明。20世纪牙周病学作为一门专业学科的发展,促成了统一诊断标准和分类方案的建立。由于跨学科合作、科学进步以及对牙周病复杂病因和病理生理学的认识不断提高,牙周病诊断仍在不断发展。本综述旨在追溯牙周病诊断随时间推移的发展路径。内容涵盖临床检查、放射学检查、牙周探诊与记录、微生物分析、计算机辅助诊断、唾液诊断与生物标志物、成像技术进展以及基因和分子诊断,最后介绍用于诊断的人工智能和机器学习。