Evidence map›Paper›PMID 30225758›Full record

ArticleMolecular imaging and biology2019

Pharmacokinetic Modeling of Targeted Ultrasound Contrast Agents for Quantitative Assessment of Anti-Angiogenic Therapy: a Longitudinal Case-Control Study in Colon Cancer.

Simona Turco, Ahmed El Kaffas, Jianhua Zhou, Amelie M Lutz, Hessel Wijkstra, Jürgen K Willmann, Massimo Mischi

Open access · hybridAbstract read
In one paragraph

Article in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Molecular Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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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

7 authors at 4 institutions in 3 countries.

Simona TurcoDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands. s.turco@tue.nl.ORCID 0000-0002-1520-3930
Ahmed El KaffasDepartment of Radiology, Stanford Medicine, Stanford, CA, 94305, USA.
Jianhua ZhouDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Amelie M LutzDepartment of Radiology, Stanford Medicine, Stanford, CA, 94305, USA.
Hessel WijkstraDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands.
Jürgen K WillmannDepartment of Radiology, Stanford Medicine, Stanford, CA, 94305, USA.
Massimo MischiDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands.
Stanford Medicine · USEindhoven University of Technology · NLAmsterdam UMC Location University of Amsterdam · NLSun Yat-sen University · CN

Funding

Three-Dimensional Multi-Parametric Ultrasound for Monitoring Therapy of Liver MetastasisR01CA195443 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ahmed El Kaffas · 2016 to 2026
$3.6M
Quantification and monitoring inflammation in IBD with Molecular UltrasoundR01DK092509 · NIDDK · STANFORD UNIVERSITY · PI HARGREAVES, BRIAN ANDREW · 2012 to 2016
$2.4M
NCI NIH HHS R01 CA195443NIDDK NIH HHS R01 DK092509
6 · The paper itself

Abstract

purposeTo evaluate quantitative and semi-quantitative ultrasound molecular imaging (USMI) for antiangiogenic therapy monitoring in human colon cancer xenografts in mice. PROCEDURES: Colon cancer was established in 17 mice by injection of LS174T (N

resultsSignificant changes in the USMI parameters during treatment were observed only in the responders treated with bevacizumab (p-value < 0.05). Prediction of the response to therapy as early as 1 day after treatment was achieved by the quantitative parameter k

conclusionUSMI (semi)quantitative parameters provide earlier assessment of the response to therapy compared to tumor volume, permit early prediction of non-responders, and correlate well with ex-vivo angiogenesis biomarkers.

Indexed as

Models, TheoreticalUltrasonographyAngiogenesis InhibitorsAnimalsCase-Control StudiesCell Line, TumorColonic NeoplasmsContrast MediaFemaleHumansLongitudinal StudiesMice, NudeMolecular ImagingNeovascularization, PathologicTreatment OutcomeTumor BurdenAngiogenesis InhibitorsContrast MediaVascular Endothelial Growth Factor Receptor-2Antiangiogenic therapyCancer therapy monitoringColorectal cancerPharmacokinetic modelingUltrasound molecular imaging

Identifiers

PMID30225758
PMCPMC6616210
OpenAlexW2892039622

What OpenQuestion holds

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LicenceCC BY
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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.