Evidence map›Paper›PMID 29082084›Full record

ArticleBiomedical optics express2017

Vascular patterning of subcutaneous mouse fibrosarcomas expressing individual VEGF isoforms can be differentiated using angiographic optical coherence tomography.

Robert A Byers, Matthew Fisher, Nicola J Brown, Gillian M Tozer, Stephen J Matcher

Registry-linked trialAbstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04336163 (Skin Imaging to Inform Laser Treatments), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

NCT04336163 naterminatednot on this mapstarted 2019, after this paper: background citation

Skin Imaging to Inform Laser Treatments

TypeinterventionalSponsorUniversity of California, IrvineRan2019 to 2022Enrolled55ConditionsPort-Wine Stain, Rosacea, Telangiectasia, AngiomaArmsOptical Coherence Tomography
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Robert A ByersBiophotonics Group, Kroto Research Institute, University of Sheffield, Sheffield, UK.
Matthew FisherDepartment of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, UK.
Nicola J BrownDepartment of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, UK.
Gillian M TozerDepartment of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, UK.
Stephen J MatcherBiophotonics Group, Kroto Research Institute, University of Sheffield, Sheffield, UK.

Funding

Medical Research Council MR/L012669/1
6 · The paper itself

Abstract

Subcutaneously implanted experimental tumors in mice are commonly used in cancer research. Despite their superficial location, they remain a challenge to image non-invasively at sufficient spatial resolution for microvascular studies. Here we evaluate the capabilities of optical coherence tomography (OCT) angiography for imaging such tumors directly through the murine skin in-vivo. Data sets were collected from mouse tumors derived from fibrosarcoma cells genetically engineered to express only single splice variant isoforms of vascular endothelial growth factor A (VEGF); either VEGF120 or VEGF188 (fs120 and fs188 tumors respectively). Measured vessel diameter was found to be significantly (p<0.001) higher for fs120 tumors (60.7 ± 4.9μm) compared to fs188 tumors (45.0 ± 4.0μm). The fs120 tumors also displayed significantly higher vessel tortuosity, fractal dimension and density. The ability to differentiate between tumor types with OCT suggests that the visible abnormal vasculature is representative of the tumor microcirculation, providing a robust, non-invasive method for observing the longitudinal dynamics of the subcutaneous tumor microcirculation.

Indexed as

(100.2000) Digital image processing(110.4500) Optical coherence tomography(170.2655) Functional monitoring and imaging(170.3880) Medical and biological imaging

Identifiers

PMID29082084
PMCPMC5654799

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Registered trials

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.