Evidence map›Paper›PMID 33101038›Full record

ArticleFrontiers in pharmacology2020

Image-Guided Treatment of Primary Liver Cancer in Mice Leads to Vascular Disruption and Increased Drug Penetration.

Sara B Keller, Dingjie Suo, Yak-Nam Wang, Heidi Kenerson, Raymond S Yeung, Michalakis A Averkiou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  4. Delivery of Cavitation Therapy With a Modified Clinical Scanner: In Vitro Evaluation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
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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

6 authors at 2 institutions in 1 country.

Sara B KellerDepartment of Bioengineering, University of Washington, Seattle, WA, United States.
Dingjie SuoDepartment of Bioengineering, University of Washington, Seattle, WA, United States.
Yak-Nam WangApplied Physics Laboratory, University of Washington, Seattle, WA, United States.
Heidi KenersonDepartment of Surgery, University of Washington, Seattle, WA, United States.
Raymond S YeungDepartment of Surgery, University of Washington, Seattle, WA, United States.
Michalakis A AverkiouDepartment of Bioengineering, University of Washington, Seattle, WA, United States.
University of Washington · USUniversity of Washington Applied Physics Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in interventional procedures and chemotherapeutic drug development, hepatocellular carcinoma (HCC) is still the fourth leading cause of cancer-related deaths worldwide with a <30% 5-year survival rate. This poor prognosis can be attributed to the fact that HCC most commonly occurs in patients with pre-existing liver conditions, rendering many treatment options too aggressive. Patient survival rates could be improved by a more targeted approach. Ultrasound-induced cavitation can provide a means for overcoming traditional barriers defining drug uptake. The goal of this work was to evaluate preclinical efficacy of image-guided, cavitation-enabled drug delivery with a clinical ultrasound scanner. To this end, ultrasound conditions (unique from those used in imaging) were designed and implemented on a Philips EPIQ and S5-1 phased array probe to produced focused ultrasound for cavitation treatment. Sonovue

Indexed as

doxorubicindrug deliveryhepatocellular carcinomamicrobubblesultrasoundvascular disruption

Identifiers

PMID33101038
PMCPMC7554611
OpenAlexW3090082278

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.