Evidence map›Paper›PMID 39799460›Full record

ArticleJournal of periodontal research2025

High-Frequency Ultrasound for Detecting Periodontal Inflammation: A Preclinical Diagnostic Accuracy Study.

Ankita Samal, Jad Majzoub, Amanda Rodriguez Betancourt, Liana Webber, John Mazzocco, Hom-Lay Wang, Rogerio Castilho, J Christopher Fenno, Hsun-Liang Chan, Oliver D Kripfgans

Abstract read
In one paragraph

Article in Journal of periodontal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ankita SamalDepartment of Periodontology, University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA.
Jad MajzoubDepartment of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Amanda Rodriguez BetancourtDepartment of Periodontology, University of Illinois Chicago College of Dentistry, Chicago, Illinois, USA.
Liana WebberDepartment of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
John MazzoccoDepartment of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Hom-Lay WangDepartment of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4238-1799
Rogerio CastilhoDepartment of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
J Christopher FennoDepartment of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Hsun-Liang ChanDivision of Periodontology, The Ohio State University College of Dentistry, Columbus, Ohio, USA.
Oliver D KripfgansDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Quantitative Estimation of Periodontal Inflammation and Tissue Destruction with High-Resolution Ultrasound-Based Imaging - Admin SuppR21DE029005 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRIPFGANS, OLIVER D · 2020 to 2021
$466k
NIDCR NIH HHS R21 DE029005NIH HHS
6 · The paper itself

Abstract

aimUltrasonography (US) has shown accuracy in imaging healthy periodontium. This study aims to evaluate the feasibility and accuracy of US for estimating dimensions of inflamed periodontium induced by ligature and bacteria.

methodsPeriodontal tissues of maxillary as well as mandibular premolars and molars in six female mini pigs were treated with ligature and three strains of bacteria for 4-10 weeks. Before euthanization, the periodontium was imaged with US. After euthanization, cone-beam computed tomography (CBCT) scans and histology were performed. Soft and hard tissue measurements by calibrated and masked examiners from US, CBCT, and histology were statistically compared.

resultsSeventy-one histological samples with corresponding CBCT and US scans were available for analysis. Overall, there was a good to excellent agreement between histology and US (ICC: 0.77-0.96) for parameters such as Soft Tissue Thickness (STT), Gingival Recession, Crestal Bone Thickness (CBT), and the bone-to-cemento-enamel junction (B-CEJ) distance. However, discrepancies were observed for STT at 3 mm below the CEJ and Soft Tissue Height (STH) (ICC: 0.44 and 0.54, respectively). CBCT showed lower agreement with histology, particularly for thin CBT (< 1 mm), with an ICC of 0.20, compared to 0.90 for US vs. histology. CBCT failed to identify crestal bone in 14 cases when the crestal bone was thin. Notably, CBCT results differed more from histological measurements than US in assessing B-CEJ and thin CBT.

conclusionUS demonstrated substantial potential as a transformative tool for periodontal diagnostics, exhibiting high agreement with histology in determining critical parameters. Compared to CBCT, US offered advantages, particularly in cases with thin crestal bone.

Indexed as

PeriodontitisPeriodontiumAlveolar ProcessAnimalsCone-Beam Computed TomographyFeasibility StudiesFemaleGingival RecessionMolarReproducibility of ResultsSwineSwine, MiniatureUltrasonographyanatomyperiodontal dimensionperiodontal phenotypeperiodontiumultrasonography

Identifiers

PMID39799460
PMCPMC12371819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.