Evidence map›Paper›PMID 29284461›Full record

ArticleBMC oral health2017

Clinical validation and assessment of a modular fluorescent imaging system and algorithm for rapid detection and quantification of dental plaque.

Keith Angelino, Pratik Shah, David A Edlund, Mrinal Mohit, Gregory Yauney

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC oral health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03379337 (Pilot Study of a Modular Fluorescent Device With Interchangeable Heads to Identify Oral Diseases), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

NCT03379337 nacompletednot on this map

Pilot Study of a Modular Fluorescent Device With Interchangeable Heads to Identify Oral Diseases

TypeinterventionalSponsorMassachusetts Institute of TechnologyRan2016 to 2016Enrolled28ConditionsDental PlaqueArmsDental imaging
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. The Effect of Plaque Detectors on the Color Stability of Two Types of Restorative Materials.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2025
    Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Keith AngelinoDepartment of Media Arts and Sciences, Massachusetts Institute of Technology, 75 Amherst Street, E14, Cambridge, MA, 02139, USA.
Pratik ShahDepartment of Media Arts and Sciences, Massachusetts Institute of Technology, 75 Amherst Street, E14, Cambridge, MA, 02139, USA. pratiks@media.mit.edu.
David A EdlundHampden Dental Care, 7425 West Hampden Avenue, Lakewood, CO, 80227, USA.
Mrinal MohitDepartment of Media Arts and Sciences, Massachusetts Institute of Technology, 75 Amherst Street, E14, Cambridge, MA, 02139, USA.
Gregory YauneyDepartment of Media Arts and Sciences, Massachusetts Institute of Technology, 75 Amherst Street, E14, Cambridge, MA, 02139, USA.
Massachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificant numbers of adults and children have untreated plaque due to poor oral hygiene and consequently suffer from associate dental and systemic diseases.

methodsA handheld device equipped with 405 nm light-emitting diodes was constructed to examine the prevalence of red fluorescence signatures associated with dental plaque. This device was used for in vivo imaging of all four incisors and all four canines of twenty-eight consenting human subjects. The same areas were further imaged under white light illumination with a commercial image-processing based plaque-imaging device, and evaluated by a hygienist and dentist. A custom computer vision algorithm using pixel information was developed to calculate plaque coverage ratios ranging from 0 (no plaque) to 1 (complete plaque coverage) for images captured by both devices.

resultsThe algorithm calculated red fluorescence-based plaque coverage ratios ranging from 0.011 to 0.211 for the subjects imaged. Clinical assessment and statistical analyses of associated plaque ratios of the 405 nm device images indicated high sensitivity and specificity in detecting dental plaque by the experimental device compared to the commercial reference device.

conclusionsThe low-cost and open source 405 nm device and the associated computer vision algorithm successfully captured red fluorescence signatures associated with dental plaque and demonstrated comparable performance to a commercially available device. Therefore, a proof of concept validation was provided for the construction and application of a sensitive cost-effective plaque-detecting device. A miniaturized mobile adaptable version of the device was also provided, together with and a step-by-step guide for device assembly and webhost the associated software, to facilitate open-source access to a cost-effective at-home, in-clinic oral care technology.

trial registrationClinicalTrials.gov NCT03379337, December 19 2017. Retrospectively registered.

Indexed as

AdultAgedAlgorithmsDental PlaqueFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedOptical ImagingReproducibility of ResultsSoftwareDental plaqueFluorescenceOral healthOral imagingPorphyrinSegmentation

Identifiers

PMID29284461
PMCPMC5745686
OpenAlexW2779105248

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.