Evidence map›Paper›PMID 33322710›Full record

ArticlePharmaceutics2020

Thrombus Imaging Using 3D Printed Middle Cerebral Artery Model and Preclinical Imaging Techniques: Application to Thrombus Targeting and Thrombolytic Studies.

Andrea Vítečková Wünschová, Adam Novobilský, Jana Hložková, Peter Scheer, Hana Petroková, Radovan Jiřík, Pavel Kulich, Eliška Bartheldyová, František Hubatka, Vladimír Jonas and 4 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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.

Andrea Vítečková WünschováDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
Adam NovobilskýDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.ORCID 0000-0002-0953-0273
Jana HložkováDepartment of Pharmacology and Toxicology, Masaryk University, Žerotínovo náměstí 617/9, 601 77 Brno, Czech Republic.
Peter ScheerDepartment of Pharmacology and Toxicology, Masaryk University, Žerotínovo náměstí 617/9, 601 77 Brno, Czech Republic.
Hana PetrokováLaboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, v.v.i., BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.
Radovan JiříkInstitute of Scientific Instruments of the Czech Academy of Sciences, Královopolská 147, 612 64 Brno, Czech Republic.ORCID 0000-0003-2555-9428
Pavel KulichDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
Eliška BartheldyováDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
František HubatkaDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
Vladimír JonasDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
Robert MikulíkStroke Research Program, International Clinical Research Center St. Anne's University Hospital, Pekařská 53, 656 91 Brno, Czech Republic.
Petr MalýLaboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, v.v.i., BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.ORCID 0000-0001-8118-0581
Jaroslav TuránekDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.
Josef MašekDepartment of Pharmacology and Toxicology, Veterinary Research Institute, Hudcova 296/70, 621 00 Brno, Czech Republic.ORCID 0000-0001-6788-8487
Veterinary Research Institute · CZCzech Academy of Sciences, Institute of Biotechnology · CZMasaryk University · CZCzech Academy of Sciences · CZCzech Academy of Sciences, Institute of Scientific Instruments · CZSt. Anne's University Hospital Brno · CZ

Funding

IGA VFU 318/2019/FaFInstitutional Research Concept RVO 86652036Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/15_003/0000495Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/16_025/0007397Ministerstvo Zdravotnictví Ceské Republiky 16-30299AMinisterstvo Zemědělství RO0518
6 · The paper itself

Abstract

Diseases with the highest burden for society such as stroke, myocardial infarction, pulmonary embolism, and others are due to blood clots. Preclinical and clinical techniques to study blood clots are important tools for translational research of new diagnostic and therapeutic modalities that target blood clots. In this study, we employed a three-dimensional (3D) printed middle cerebral artery model to image clots under flow conditions using preclinical imaging techniques including fluorescent whole-body imaging, magnetic resonance imaging (MRI), and computed X-ray microtomography (microCT). Both liposome-based, fibrin-targeted, and non-targeted contrast agents were proven to provide a sufficient signal for clot imaging within the model under flow conditions. The application of the model for clot targeting studies and thrombolytic studies using preclinical imaging techniques is shown here. For the first time, a novel method of thrombus labeling utilizing barium sulphate (Micropaque

Indexed as

3D printingfibrin targetingfluorescence imagingMCAOmicroCTMRIrtPAthrombolysisthrombus imaging

Identifiers

PMID33322710
PMCPMC7763938
OpenAlexW3111734969

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.