Evidence map›Paper›PMID 28018726›Full record

ArticleBiomedical optics express2016

Preclinical detection of liver fibrosis using dual-modality photoacoustic/ultrasound system.

Pim J van den Berg, Ruchi Bansal, Khalid Daoudi, Wiendelt Steenbergen, Jai Prakash

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

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

25 citing papers in PubMed.

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  8. Effect of Ultrasound-Stimulated Microbubbles and Hyperthermia on Tumor Vasculature of Breast Cancer Xenograft.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
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  12. Review
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  19. Enhancement of Photodynamic Cancer Therapy by Physical and Chemical Factors.Angewandte Chemie (International ed. in English) · 2019
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Pim J van den BergBiomedical Photonic Imaging, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE, Enschede, The Netherlands; These authors contributed equally to the work; p.j.vandenberg@utwente.nl.
Ruchi BansalTargeted Therapeutics, Department of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE, Enschede, The Netherlands; These authors contributed equally to the work; r.bansal@utwente.nl.
Khalid DaoudiBiomedical Photonic Imaging, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE, Enschede, The Netherlands.
Wiendelt SteenbergenBiomedical Photonic Imaging, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE, Enschede, The Netherlands; These authors contributed equally to the work.
Jai PrakashTargeted Therapeutics, Department of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE, Enschede, The Netherlands; These authors contributed equally to the work.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis is a major cause for increasing mortality worldwide. Preclinical research using animal models is required for the discovery of new anti-fibrotic therapies, but currently relies on endpoint liver histology. In this study, we investigated a cost-effective and portable photoacoustic/ultrasound (PA/US) imaging system as a potential non-invasive alternative. Fibrosis was induced in mice using CCl

Indexed as

(170.0110) Imaging systems(170.2680) Gastrointestinal(170.3880) Medical and biological imaging(170.5120) Photoacoustic imaging(170.7170) Ultrasound

Identifiers

PMID28018726
PMCPMC5175553

What OpenQuestion holds

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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.