Evidence map›Paper›PMID 25542010›Full record

ArticlePloS one2014

Optical coherence tomography and autofluorescence imaging of human tonsil.

Hamid Pahlevaninezhad, Anthony M D Lee, Miriam Rosin, Ivan Sun, Lewei Zhang, Mehrnoush Hakimi, Calum MacAulay, Pierre M Lane

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Hamid PahlevaninezhadDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Anthony M D LeeDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Miriam RosinDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Ivan SunDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Lewei ZhangDepartment of Dentistry, University of British Columbia, Vancouver, British Columbia, Canada.
Mehrnoush HakimiDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Calum MacAulayDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
Pierre M LaneDepartment of Integrative Oncology, British Columbia Cancer Research Center, Vancouver, British Columbia, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the first time, we present co-registered autofluorescence imaging and optical coherence tomography (AF/OCT) of excised human palatine tonsils to evaluate the capabilities of OCT to visualize tonsil tissue components. Despite limited penetration depth, OCT can provide detailed structural information about tonsil tissue with much higher resolution than that of computed tomography, magnetic resonance imaging, and Ultrasound. Different tonsil tissue components such as epithelium, dense connective tissue, lymphoid nodules, and crypts can be visualized by OCT. The co-registered AF imaging can provide matching biochemical information. AF/OCT scans may provide a non-invasive tool for detecting tonsillar cancers and for studying the natural history of their development.

Indexed as

Connective TissueEpitheliumHumansLymph NodesPalatine TonsilTomography, Optical Coherence

Identifiers

PMID25542010
PMCPMC4277424
OpenAlexW2034878236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.