Evidence map›Paper›PMID 25979676›Full record

ArticleUltrasonics2015

High and low frequency subharmonic imaging of angiogenesis in a murine breast cancer model.

Manasi Dahibawkar, Mark A Forsberg, Aditi Gupta, Samantha Jaffe, Kelly Dulin, John R Eisenbrey, Valgerdur G Halldorsdottir, Anya I Forsberg, Jaydev K Dave, Andrew Marshall and 4 more

Open access · greenAbstract read
In one paragraph

Article in Ultrasonics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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

14 authors at 6 institutions in 1 country.

Manasi DahibawkarDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Mark A ForsbergYale University, New Haven, CT 06520, USA.
Aditi GuptaDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Samantha JaffeUniversity of Pittsburgh, Pittsburgh, PA 15260, USA.
Kelly DulinUniversity of Pittsburgh, Pittsburgh, PA 15260, USA.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Valgerdur G HalldorsdottirDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Anya I ForsbergPlymouth-Whitemarsh High School, Plymouth Meeting, PA 19462, USA.
Jaydev K DaveDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Andrew MarshallDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Priscilla MachadoDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Traci B FoxDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA; Department of Radiologic Sciences, Jefferson College of Health Professions, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Ji-Bin LiuDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Flemming ForsbergDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA. Electronic address: flemming.forsberg@jefferson.edu.
Thomas Jefferson University · USUniversity of Pittsburgh · USDrexel University · USJefferson College · USPlymouth State University · USYale University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
Vevo 2100 ultrasound scannerS10OD010408 · OD · THOMAS JEFFERSON UNIVERSITY · PI FORSBERG, FLEMMING · 2012 to 2012
$525k
NCI NIH HHS P30 CA056036NIH HHS S10 OD010408
6 · The paper itself

Abstract

This project compared quantifiable measures of tumor vascularity obtained from contrast-enhanced high frequency (HF) and low frequency (LF) subharmonic ultrasound imaging (SHI) to 3 immunohistochemical markers of angiogenesis in a murine breast cancer model (since angiogenesis is an important marker of malignancy and the target of many novel cancer treatments). Nineteen athymic, nude, female rats were implanted with 5×10(6) breast cancer cells (MDA-MB-231) in the mammary fat pad. The contrast agent Definity (Lantheus Medical Imaging, N Billerica, MA) was injected in a tail vein (dose: 180μl/kg) and LF pulse-inversion SHI was performed with a modified Sonix RP scanner (Analogic Ultrasound, Richmond, BC, Canada) using a L9-4 linear array (transmitting/receiving at 8/4MHz in SHI mode) followed by HF imaging with a Vevo 2100 scanner (Visualsonics, Toronto, ON, Canada) using a MS250 linear array transmitting and receiving at 24MHz. The radiofrequency data was filtered using a 4th order IIR Butterworth bandpass filter (11-13MHz) to isolate the subharmonic signal. After the experiments, specimens were stained for endothelial cells (CD31), vascular endothelial growth factor (VEGF) and cyclooxygenase-2 (COX-2). Fractional tumor vascularity was calculated as contrast-enhanced pixels over all tumor pixels for SHI, while the relative area stained over total tumor area was calculated from specimens. Results were compared using linear regression analysis. Out of 19 rats, 16 showed tumor growth (84%) and 11 of them were successfully imaged. HF SHI demonstrated better resolution, but weaker signals than LF SHI (0.06±0.017 vs. 0.39±0.059; p<0.001). The strongest overall correlation in this breast cancer model was between HF SHI and VEGF (r=-0.38; p=0.03). In conclusion, quantifiable measures of tumor neovascularity derived from contrast-enhanced HF SHI appear to be a better method than LF SHI for monitoring angiogenesis in a murine xenograft model of breast cancer (corresponding in particular to the expression of VEGF); albeit based on a limited sample size.

Indexed as

AnimalsBiomarkers, TumorContrast MediaCyclooxygenase 2Disease Models, AnimalFemaleFluorocarbonsImage Processing, Computer-AssistedImmunohistochemistryMammary Neoplasms, ExperimentalMiceMice, NudeNeovascularization, PathologicPlatelet Endothelial Cell Adhesion Molecule-1Reproducibility of ResultsSignal Processing, Computer-AssistedBiomarkers, TumorContrast MediaCyclooxygenase 2FluorocarbonsperflutrenPlatelet Endothelial Cell Adhesion Molecule-1Vascular Endothelial Growth Factor ABreast cancerMurine xenograftsSignal processingSubharmonic imagingUltrasound contrast agent

Identifiers

PMID25979676
PMCPMC4504767
OpenAlexW1652771480

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.