Evidence map›Paper›PMID 30450281›Full record

ArticlePhotoacoustics2018

Photoacoustic imaging for monitoring periodontal health: A first human study.

Colman Moore, Yuting Bai, Ali Hariri, Joan B Sanchez, Ching-Yu Lin, Sreenivas Koka, Parish Sedghizadeh, Casey Chen, Jesse V Jokerst

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

33 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  7. TowardsFundamental research · 2024
    Review
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  20. Photoacoustic Imaging for Periodontal Disease Examination.Journal of lasers in medical sciences · 2022
    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

9 authors at 3 institutions in 1 country.

Colman MooreDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive. La Jolla, CA, 92092, USA.
Yuting BaiDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive. La Jolla, CA, 92092, USA.
Ali HaririDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive. La Jolla, CA, 92092, USA.
Joan B SanchezHerman Ostrow School of Dentistry, University of Southern California, 925 West 34th Street, Los Angeles, CA, 90089, USA.
Ching-Yu LinDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive. La Jolla, CA, 92092, USA.
Sreenivas KokaSchool of Dentistry, University of California, Los Angeles, 714 Tiverton Ave, Los Angeles, CA, 90024, USA.
Parish SedghizadehHerman Ostrow School of Dentistry, University of Southern California, 925 West 34th Street, Los Angeles, CA, 90089, USA.
Casey ChenHerman Ostrow School of Dentistry, University of Southern California, 925 West 34th Street, Los Angeles, CA, 90089, USA.
Jesse V JokerstDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive. La Jolla, CA, 92092, USA.
University of California San Diego · USUniversity of Southern California · USUniversity of California, Los Angeles · US

Funding

Training in Multi-Scale Analysis of Biological Structure and FunctionT32EB009380 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrew D. McCulloch, Padmini Rangamani · 2009 to 2026
$4.8M
Therapeutic Drug Monitoring with a Wearable Ultrasound-based SensorDP2HL137187 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2016 to 2019
$2.7M
Modeling and analysis of the mechanochemical processes that govern clathrin-mediated endocytosisR01GM132106 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RANGAMANI, PADMINI · 2020 to 2024
$1.5M
Vevo LAZR Photoacoustic Imaging SystemS10OD021821 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HALL, DAVID J · 2016 to 2016
$594k
NHLBI NIH HHS DP2 HL137187NIBIB NIH HHS T32 EB009380NIGMS NIH HHS R01 GM132106NIH HHS S10 OD021821
6 · The paper itself

Abstract

The gold-standard periodontal probe is an aging tool that can detect periodontitis and monitor gingival health but is highly error-prone, does not fully characterize the periodontal pocket, and causes pain. Photoacoustic imaging is a noninvasive technique that can address these limitations. Here, a range of ultrasound frequencies between 16-40 MHz were used to image the periodontium and a contrast medium based on cuttlefish ink was used to label the pockets. A 40 MHz ultrasound frequency could spatially resolve the periodontal anatomy, including tooth, gum, gingival margin, and gingival thickness of tooth numbers 7-10 and 22-27. The photoacoustic-ultrasound measurements were more precise (0.01 mm) than those taken with physical probes by a dental hygienist. Furthermore, the full geometry of the pockets could be visualized with relative standard deviations of 10% (n = 5). This study shows the potential for non-invasive monitoring of periodontal health with photoacoustic-ultrasound imaging in the dental clinic.

Indexed as

DiagnosisGingival thicknessMelanin nanoparticlesPeriodontal chartingPeriodontal diseasePhotoacoustic imagingPocket depth

Identifiers

PMID30450281
PMCPMC6226559
OpenAlexW2898618328

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.