Evidence map›Paper›PMID 27499123›Full record

ArticlePhotochemistry and photobiology2016

Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo.

Bilal H Malik, Joohyung Lee, Shuna Cheng, Rodrigo Cuenca, Joey M Jabbour, Yi-Shing Lisa Cheng, John M Wright, Beena Ahmed, Kristen C Maitland, Javier A Jo

Open access · greenAbstract read
In one paragraph

Article in Photochemistry and photobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  8. Multispectral autofluorescence dermoscope for skin lesion assessment.Photodiagnosis and photodynamic therapy · 2020
    Article
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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

10 authors at 3 institutions in 2 countries.

Bilal H MalikDepartment of Biomedical Engineering, Texas A&M University, College Station, TX. bilal.malik@qtultrasound.com.
Joohyung LeeDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX.
Shuna ChengDepartment of Biomedical Engineering, Texas A&M University, College Station, TX.
Rodrigo CuencaDepartment of Biomedical Engineering, Texas A&M University, College Station, TX.
Joey M JabbourDepartment of Biomedical Engineering, Texas A&M University, College Station, TX.
Yi-Shing Lisa ChengDepartment of Diagnostic Sciences, Texas A&M Health Science Center - Baylor College of Dentistry, Dallas, TX.
John M WrightDepartment of Diagnostic Sciences, Texas A&M Health Science Center - Baylor College of Dentistry, Dallas, TX.
Beena AhmedDepartment of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar.
Kristen C MaitlandDepartment of Biomedical Engineering, Texas A&M University, College Station, TX.
Javier A JoDepartment of Biomedical Engineering, Texas A&M University, College Station, TX.
Texas A&M University · USQT Ultrasound (United States) · USTexas A&M University at Qatar · QA

Funding

Multiresolution FLIM and Reflectance Confocal Microscopy to Detect DysplasiaR01CA138653 · NCI · TEXAS ENGINEERING EXPERIMENT STATION · PI MAITLAND, KRISTEN C. · 2010 to 2014
$1.5M
Structured illumination multispectral fluorescence lifetime microendoscopy to detect oral premalignanciesR03CA191860 · NCI · TEXAS ENGINEERING EXPERIMENT STATION · PI MALIK, BILAL · 2015 to 2016
$140k
NCI NIH HHS R01 CA138653NCI NIH HHS R03 CA191860
6 · The paper itself

Abstract

Successful early detection and demarcation of oral carcinoma can greatly impact the associated morbidity and mortality rates. Current methods for detection of oral cancer include comprehensive visual examination of the oral cavity, typically followed by tissue biopsy. A noninvasive means to guide the clinician in making a more objective and informed decision toward tissue biopsy can potentially improve the diagnostic yield of this process. To this end, we investigate the potential of fluorescence lifetime imaging (FLIM) for objective detection of oral carcinoma in the hamster cheek pouch model of oral carcinogenesis in vivo. We report that systematically selected FLIM features can differentiate between low-risk (normal, benign and low-grade dysplasia) and high-risk (high-grade dysplasia and cancer) oral lesions with sensitivity and specificity of 87.26% and 93.96%, respectively. We also show the ability of FLIM to generate "disease" maps of the tissue which can be used to evaluate relative risk of neoplasia. The results demonstrate the potential of multispectral FLIM with objective image analysis as a noninvasive tool to guide comprehensive oral examination.

Indexed as

Optical ImagingAnimalsCheekCricetinaeHumansMouth Neoplasms

Identifiers

PMID27499123
PMCPMC5705081
OpenAlexW2506355070

What OpenQuestion holds

Textmetadata
LicenceTDM
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.