Evidence map›Paper›PMID 42458024›Full record

ArticleSurgical and radiologic anatomy : SRA2026

Validity and reliability of intraoral ultrasonography for the assessment of human periodontal structures.

Su-Jeong Kim, Kyu-Lim Lee, Jiong-Zhen Piao, Kyung-Seok Hu, Hee-Jin Kim

Abstract readValidation Study
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In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Su-Jeong KimDivision in Anatomy and Developmental Biology, Department of Oral Biology, BK21 FOUR Project, Human Identification Research Institute, Yonsei University College of Dentistry, Seoul, South Korea.ORCID https://orcid.org/0009-0009-5009-8097
Kyu-Lim LeeDivision in Anatomy and Developmental Biology, Department of Oral Biology, BK21 FOUR Project, Human Identification Research Institute, Yonsei University College of Dentistry, Seoul, South Korea.ORCID https://orcid.org/0000-0002-9898-2035
Jiong-Zhen PiaoDivision in Anatomy and Developmental Biology, Department of Oral Biology, BK21 FOUR Project, Human Identification Research Institute, Yonsei University College of Dentistry, Seoul, South Korea.ORCID https://orcid.org/0000-0001-8071-6217
Kyung-Seok HuDivision in Anatomy and Developmental Biology, Department of Oral Biology, BK21 FOUR Project, Human Identification Research Institute, Yonsei University College of Dentistry, Seoul, South Korea. hks318@yuhs.ac.ORCID http://orcid.org/0000-0002-9048-3805
Hee-Jin KimDivision in Anatomy and Developmental Biology, Department of Oral Biology, BK21 FOUR Project, Human Identification Research Institute, Yonsei University College of Dentistry, Seoul, South Korea. hjk776@yuhs.ac.ORCID http://orcid.org/0000-0002-1139-6261

Funding

National Research Foundation of Korea (NRF) NRF-RS-2024-00406281
6 · The paper itself

Abstract

purposeRecent advances in intraoral ultrasonography (US) have enabled quantitative evaluation of periodontal tissues; however, limitations regarding applicable measurement sites and structural visualization remain. This study aimed to investigate the anatomical accuracy and measurement reproducibility of intraoral US imaging for soft and hard periodontal tissues, comprising buccal and lingual palatal surfaces and dental calculus.

methodsUS images were captured from the gingival margin (GM), alveolar bone crest (ABC), and cementoenamel junction (CEJ) of 108 teeth from fixed human cadavers. These regions were sectioned and scanned to generate reference images. Three parameters were measured: (1) the distance between the ABC and GM, (2) the distance between the ABC and CEJ, and (3) the linear length of the dental calculus on the tooth surface. Three independent examiners performed all measurements twice for reliability analysis.

resultsUS images clearly delineated the gingiva, CEJ, alveolar bone, and calculus based on their echogenic characteristics. No statistically significant differences were observed between the US and reference measurements (p > 0.05). Intraclass correlation coefficients ranged from 0.78 to 0.97 for intra-rater and 0.92 to 0.96 for inter-rater reliability. Bland-Altman analysis revealed 95% limits of agreement of - 0.27 to 0.94 mm for ABC-GM, - 0.28 to 1.12 mm for ABC-CEJ, and - 0.22 to 0.81 mm for calculus length. These findings confirm that intraoral US reliably represents anatomical structures with high fidelity.

conclusionUS is a valid, reproducible modality for evaluating ABC, GM, CEJ, and calculus across buccal and lingual surfaces, providing a standardized anatomical foundation.

Indexed as

Dental CalculusPeriodontiumAlveolar ProcessCadaverFemaleGingivaHumansMaleReproducibility of ResultsTooth CervixUltrasonographyAlveolar bone crestCementoenamel junctionDental calculusGingival marginIntraoral ultrasonographyPeriodontal structures

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.