Evidence map›Paper›PMID 22996049›Full record

ArticleLasers in medical science2013

Quantitative optical coherence tomography of fluid-filled oral mucosal lesions.

O K Adegun, P H Tomlins, E Hagi-Pavli, D L Bader, Farida Fortune

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Use of Optical Coherence Tomography in Dentistry.International journal of dentistry · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Open questions and novel concepts in oral cancer surgery.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2016
    Review
  10. 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.

O K AdegunCentre for Clinical and Diagnostic Oral Sciences, Institute of Dentistry, Barts and The London School of Medicine and Dentistry, 4 Newark Street, Whitechapel, E1 2AT, London, UK.
P H Tomlins
E Hagi-Pavli
D L Bader
Farida Fortune

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decision of selecting the most representative site for the biopsy of fluid-filled lesions can be difficult. This may be attributed to the poor delineation of the correct lesional site by clinical observation alone. In this study, optical coherence tomography is used to quantify the contrast between solid- and fluid-filled lesions by measuring the light intensity change at the tissue-fluid interface (intensity drop). This parameter was measured from sequential axial scans (n ≈ 10(6) per sample) of 3D optical coherence tomography (OCT) datasets from control tissues (n = 14) and fluid-filled lesions (n = 7) and displayed as a 2D-scaled intensity drop (SID) image. The results of the SID image allowed for discrimination, characterisation and extent of a fluid filled region. The differentiation of normal and fluid-filled areas using individual SID values yielded both a sensitivity and specificity of approximately 80 %. OCT complemented by SID analysis provides a potential in vivo clinical tool that would enable non-invasive objective visualisation of the oral mucosa.

Indexed as

BiopsyBody FluidsCase-Control StudiesHumansImaging, Three-DimensionalMouth DiseasesMouth MucosaMucocelePolypsTomography, Optical Coherence

Identifiers

What OpenQuestion holds

Textmetadata
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.