Evidence map›Paper›PMID 26394410›Full record

ArticleIEEE transactions on bio-medical engineering2016

The "Fingerprint" of Cancer Extends Beyond Solid Tumor Boundaries: Assessment With a Novel Ultrasound Imaging Approach.

Sneha R Rao, Sarah E Shelton, Paul A Dayton

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Article
  9. Super-resolution Ultrasound Imaging.Ultrasound in medicine & biology · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Dual-Frequency Colinear Array for Acoustic Angiography in Prostate Cancer Evaluation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2018
    Article
  15. Article
  16. Dual-Frequency Piezoelectric Endoscopic Transducer for Imaging Vascular Invasion in Pancreatic Cancer.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2017
    Article
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Sneha R Rao
Sarah E Shelton
Paul A Dayton
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
Micro-tumor detection by quantifying tumor-induced vascular abnormalities (PQ-13)R01CA170665 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A · 2012 to 2015
$2.2M
Quantitative ultrasound analysis of vascular morphology for cancer assessmentR43CA165621 · NCI · KITWARE, INC. · PI AYLWARD, STEPHEN R, DAYTON, PAUL A · 2012 to 2014
$373k
NCI NIH HHS P30 CA016086NCI NIH HHS R01 CA170665NCI NIH HHS R43 CA165621NHLBI NIH HHS T32 HL069768
6 · The paper itself

Abstract

goalAbnormalities of microvascular morphology have been associated with tumor angiogenesis for more than a decade, and are believed to be intimately related to both tumor malignancy and response to treatment. However, the study of these vascular changes in-vivo has been challenged due to the lack of imaging approaches which can assess the microvasculature in 3-D volumes noninvasively. Here, we use contrast-enhanced "acoustic angiography" ultrasound imaging to observe and quantify heterogeneity in vascular morphology around solid tumors.

methodsAcoustic angiography, a recent advance in contrast-enhanced ultrasound imaging, generates high-resolution microvascular images unlike anything possible with standard ultrasound imaging techniques. Acoustic angiography images of a genetically engineered mouse breast cancer model were acquired to develop an image acquisition and processing routine that isolated radially expanding regions of a 3-D image from the tumor boundary to the edge of the imaging field for assessment of vascular morphology of tumor and surrounding vessels.

resultsQuantitative analysis of vessel tortuosity for the tissue surrounding tumors 3 to 7 mm in diameter revealed that tortuosity decreased in a region 6 to 10 mm from the tumor boundary, but was still significantly elevated when compared to control vasculature.

conclusionOur analysis of angiogenesis-induced changes in the vasculature outside the tumor margin reveals that the extent of abnormal tortuosity extends significantly beyond the primary tumor mass. SIGNIFICANCE: Visualization of abnormal vascular tortuosity may make acoustic angiography an invaluable tool for early tumor detection based on quantifying the vascular footprint of small tumors and a sensitive method for understanding changes in the vascular microenvironment during tumor progression.

Indexed as

AngiographyAnimalsImage Interpretation, Computer-AssistedImaging, Three-DimensionalMiceMicrovesselsNeoplasmsNeovascularization, PathologicUltrasonography

Identifiers

PMID26394410
PMCPMC5070672
OpenAlexW2336255528

What OpenQuestion holds

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LicenceTDM
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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.