Evidence map›Paper›PMID 23595826›Full record

ArticleJournal of biomedical optics2013

Fluorescence lifetime imaging and reflectance confocal microscopy for multiscale imaging of oral precancer.

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

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
9.7field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Label-free sensing of cells with fluorescence lifetime imaging: The quest for metabolic heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Extended Blind End-member and Abundance Extraction for Biomedical Imaging Applications.IEEE access : practical innovations, open solutions · 2019
    Article
  10. Article
  11. Article
  12. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
  13. Article
  14. Article
  15. Optical techniques for cervical neoplasia detection.Beilstein journal of nanotechnology · 2017
    Review
  16. Article
  17. Article
  18. A novel multimodal optical imaging system for early detection of oral cancer.Oral surgery, oral medicine, oral pathology and oral radiology · 2016
    Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Joey M JabbourTexas A&M University, Department of Biomedical Engineering, 5045 Emerging Technologies Building, 3120 TAMU, College Station, Texas 77843, USA.
Shuna Cheng
Bilal H Malik
Rodrigo Cuenca
Javier A Jo
John Wright
Yi-Shing Lisa Cheng
Kristen C Maitland
Texas A&M University · USMitchell Institute · US

Funding

Multiresolution FLIM and Reflectance Confocal Microscopy to Detect DysplasiaR01CA138653 · NCI · TEXAS ENGINEERING EXPERIMENT STATION · PI MAITLAND, KRISTEN C. · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA138653NCI NIH HHS R01CA138653
6 · The paper itself

Abstract

Optical imaging techniques using a variety of contrast mechanisms are under evaluation for early detection of epithelial precancer; however, tradeoffs in field of view (FOV) and resolution may limit their application. Therefore, we present a multiscale multimodal optical imaging system combining macroscopic biochemical imaging of fluorescence lifetime imaging (FLIM) with subcellular morphologic imaging of reflectance confocal microscopy (RCM). The FLIM module images a 16×16 mm² tissue area with 62.5 μm lateral and 320 ps temporal resolution to guide cellular imaging of suspicious regions. Subsequently, coregistered RCM images are acquired at 7 Hz with 400 μm diameter FOV, <1  μm lateral and 3.5 μm axial resolution. FLIM-RCM imaging was performed on a tissue phantom, normal porcine buccal mucosa, and a hamster cheek pouch model of oral carcinogenesis. While FLIM is sensitive to biochemical and macroscopic architectural changes in tissue, RCM provides images of cell nuclear morphology, all key indicators of precancer progression.

Indexed as

AnimalsCheekCricetinaeEquipment DesignMicroscopy, ConfocalMouth MucosaMouth NeoplasmsOptical ImagingPhantoms, ImagingPrecancerous ConditionsSwine

Identifiers

PMID23595826
PMCPMC3628018
OpenAlexW1972492830

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.