Evidence map›Paper›PMID 32806575›Full record

ArticleSensors (Basel, Switzerland)2020

In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System.

Marvin Xavierselvan, Mithun Kuniyil Ajith Singh, Srivalleesha Mallidi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

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  14. Targeting tumor vascularization: promising strategies for vascular normalization.Journal of cancer research and clinical oncology · 2021
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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.

Marvin XavierselvanDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.ORCID 0000-0002-8361-7318
Mithun Kuniyil Ajith SinghResearch & Business Development Division, Cyberdyne INC, Cambridge Innovation Center, 3013 Rotterdam, The Netherlands.ORCID 0000-0001-8670-6335
Srivalleesha MallidiDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Tufts University · US

Funding

Raising the Therapeutic Index of Photodynamic Therapy with Targeted NanosyringesR41CA221420 · NCI · NANOHYBRIDS, INC. · PI COOK, JASON · 2017 to 2017
$300k
NIH HHS R41CA221420
6 · The paper itself

Abstract

Photoacoustic (PA) imaging has shown tremendous promise for imaging tumor vasculature and its function at deeper penetration depths without the use of exogenous contrast agents. Traditional PA imaging systems employ expensive and bulky class IV lasers with low pulse repetition rate, due to which its availability for preclinical cancer research is hampered. In this study, we evaluated the capability of a Light-Emitting Diode (LED)-based PA and ultrasound (US) imaging system for monitoring heterogeneous microvasculature in tumors (up to 10 mm in depth) and quantitatively compared the PA images with gold standard histology images. We used a combination of a 7 MHz linear array US transducer and 850 nm excitation wavelength LED arrays to image blood vessels in a subcutaneous tumor model. After imaging, the tumors were sectioned and stained for endothelial cells to correlate with PA images across similar cross-sections. Analysis of 30 regions of interest in tumors from different mice showed a statistically significant R-value of 0.84 where the areas with high blood vessel density had high PA response while low blood vessel density regions had low PA response. Our results confirm that LED-based PA and US imaging can provide 2D and 3D images of tumor vasculature and the potential it has as a valuable tool for preclinical cancer research.

Indexed as

NeoplasmsPhotoacoustic TechniquesAnimalsEndothelial CellsImaging, Three-DimensionalMiceSpectrum AnalysisLEDphotoacoustic imagingtumor imagingultrasound

Identifiers

PMID32806575
PMCPMC7472236
OpenAlexW3048757421

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.