Evidence map›Paper›PMID 42316818›Full record

ArticleDento maxillo facial radiology2026

Quantification of Supracrestal Tissue Attachment Using High-Frequency Ultrasound.

Suhel Khan, Pie Yun Tsai, Brett Weatherington, Jesse V Jokerst

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Suhel KhanAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, 9500 Gilman drive, 92093, CA, USA.
Pie Yun TsaiAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, 9500 Gilman drive, 92093, CA, USA.
Brett WeatheringtonAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, 9500 Gilman drive, 92093, CA, USA.
Jesse V JokerstAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, 9500 Gilman drive, 92093, CA, USA.

Funding

A Miniaturized and High-frequency Acoustic Imaging System for Oral Health and Diseases of the Head and NeckR01DE031307 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Vincent Jokerst · 2022 to 2026
$3.1M
VEVO 3100 + LAXR-X Acoustic Imaging SystemS10OD032268 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2022 to 2022
$893k
NIDCR NIH HHS R01 DE031307NIH HHS S10 OD032268
6 · The paper itself

Abstract

objectivesTo develop and validate a noninvasive ultrasound (US)-based framework for quantifying supracrestal tissue attachment (STA) and evaluating tooth-type variation in STA dimensions, to assess the accuracy of conventional periodontal probing against photographic ground truth (GT), and US images.

methodsA high-frequency, miniaturized side-facing US transducer was used to simultaneously image gingival soft tissue, alveolar bone, and periodontal probes. Ex vivo swine jaws were imaged to compare US-derived probing depth and STA measurements with ground-truth photographic measurements and conventional manual probing. Measurement bias and agreement were evaluated using statistical analyses. Observed anatomical trends were further examined using full-mouth human cadaver imaging and validated in vivo in human subjects. Power analysis was performed to determine sensitivity for detecting biologically relevant differences between tooth types.

resultsUS-derived probing depth measurements showed lower bias (0.23 ± 0.42 mm) relative to GT than manual probing (0.54 ± 0.25 mm) and enabled direct visualization of STA with a periodontal probe. Agreement analyses showed improved accuracy of US measurements compared with conventional probing. Systematic differences in STA were identified between molar (1.86 ± 0.88 mm) and premolar (2.59 ± 0.53 mm) teeth in ex vivo specimens. These trends were confirmed in full-mouth cadaver imaging and in vivo human validation. Power analysis indicated 80% statistical power to detect clinically meaningful differences in STA dimensions across tooth types.

conclusionsSTA is not uniform across the dentition and varies depending on the tooth type. High-frequency US provides a robust, noninvasive modality for direct anatomical measurement and may improve the quantitative assessment of periodontal structures in clinical practice. ADVANCES IN KNOWLEDGE: This study challenges the long-standing assumption of uniform STA and introduces a validated US-based method for direct anatomical measurement. The findings highlight clinically relevant tooth-type variation and support the integration of high-frequency US into periodontal diagnostics and treatment planning.

Indexed as

biological width (BW)periodontal probingstatistical validationSupracrestal tissue attachment (STA)tooth-type variationultrasound imaging

Identifiers

PMID42316818
PMCPMC13371951

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Registered trials

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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.