Evidence map›Paper›PMID 29021136›Full record

ArticleCancer research2017

Distinct Angiogenic Changes during Carcinogenesis Defined by Novel Label-Free Dark-Field Imaging in a Hamster Cheek Pouch Model.

Fangyao Hu, Hannah Martin, Amy Martinez, Jeffrey Everitt, Alaattin Erkanli, Walter T Lee, Mark Dewhirst, Nimmi Ramanujam

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Models of Oral Epithelial Dysplasia: A Systematic Review and Temporal Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. 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 1 institution in 1 country.

Fangyao HuDepartment of Biomedical Engineering, Duke University, Durham, North Carolina.
Hannah MartinDepartment of Biomedical Engineering, Duke University, Durham, North Carolina.
Amy MartinezDepartment of Biomedical Engineering, Duke University, Durham, North Carolina.
Jeffrey EverittDepartment of Pathology, Duke University Medical Center, Durham, North Carolina.
Alaattin ErkanliDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina.
Walter T LeeDivision of Head and Neck Surgery and Communicative Sciences, Duke University Medical Center, Durham, North Carolina.
Mark DewhirstDepartment of Radiation Oncology, Duke University, Durham, North Carolina.
Nimmi RamanujamDepartment of Biomedical Engineering, Duke University, Durham, North Carolina. nimmi.ramanujam@duke.edu.
Duke University Hospital · US

Funding

A Novel Optical Spectral Imaging System for Rapid Imaging of Breast Tumor MarginsR01EB011574 · NIBIB · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2011 to 2015
$4.9M
Culturally appropriate screening and diagnosis of cervical cancer in East AfricaR01CA193380 · NCI · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2015 to 2019
$2.9M
A Viable Solution for a See and Treat Paradigm for Cervical Pre-cancer in AfricaR01CA195500 · NCI · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2015 to 2017
$647k
NCI NIH HHS R01 CA193380NCI NIH HHS R01 CA195500NIBIB NIH HHS R01 EB011574
6 · The paper itself

Abstract

There remain gaps in knowledge concerning how vascular morphology evolves during carcinogenesis. In this study, we imaged neovascularization by label-free dark-field microscopy of a 7,12-Dimethylbenz[a]anthracene (DMBA)-induced hamster cheek pouch model of oral squamous cell carcinoma (SCC). Wavelength-dependent imaging revealed distinct vascular features at different imaging depths and vessel sizes. Vascular tortuosity increased significantly in high-risk lesions, whereas diameter decreased significantly in hyperplastic and SCC lesions. Large vessels preserved the same trends seen in the original images, whereas small vessels displayed different trends, with length and diameter increasing during carcinogenesis. On the basis of these data, we developed and validated a classification algorithm incorporating vascular features from different vessel masks. Receiver operator curves generated from the classification results demonstrated high accuracies in discriminating normal and hyperplasia from high-grade lesions (AUC > 0.94). Overall, these results provided automated imaging of vasculature in the earliest stages of carcinogenesis from which one can extract robust endpoints. The optical toolbox described here is simple, low-cost and portable, and can be used in a variety of health care and research settings for cancer prevention and pharmacology research.

Indexed as

AngiographyAnimalsCarcinogenesisCarcinoma, Squamous CellCheekCricetinaeDisease Models, AnimalFemaleImage Processing, Computer-AssistedMesocricetusMouth NeoplasmsNeovascularization, PathologicOptical Imaging

Identifiers

PMID29021136
PMCPMC6221460
OpenAlexW2763324540

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.