Evidence map›Paper›PMID 36049109›Full record

ArticleMedical physics2022

Pharmacokinetic modeling of PSMA-targeted nanobubbles for quantification of extravasation and binding in mice models of prostate cancer.

Chuan Chen, Reshani Perera, Michael C Kolios, Hessel Wijkstra, Massimo Mischi, Agata A Exner, Simona Turco

Abstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Nanobubble Contrast Enhanced Ultrasound Imaging: A Review.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
  8. 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

7 authors.

Chuan ChenElectrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands.
Reshani PereraDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Michael C KoliosDepartment of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada.
Hessel WijkstraElectrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands.
Massimo MischiElectrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands.
Agata A ExnerDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Simona TurcoElectrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands.

Funding

Drug-Loaded Nanobubbles for Ultrasound Enhanced Delivery to Colon Cancer Liver MetastasisR01EB028144 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI EXNER, AGATA A · 2019 to 2023
$2.3M
High resolution ultrasound for small animal imagingS10OD021635 · OD · CASE WESTERN RESERVE UNIVERSITY · PI STELZER, JULIAN · 2016 to 2016
$478k
NIBIB NIH HHS R01 EB028144NIH HHS S10 OD021635
6 · The paper itself

Abstract

purposeContrast-enhanced ultrasound (CEUS) by injection of microbubbles (MBs) has shown promise as a cost-effective imaging modality for prostate cancer (PCa) detection. More recently, nanobubbles (NBs) have been proposed as novel ultrasound contrast agents. Unlike MBs, which are intravascular ultrasound contrast agents, the smaller diameter of NBs allows them to cross the vessel wall and target specific receptors on cancer cells such as the prostate-specific membrane antigen (PSMA). It has been demonstrated that PSMA-targeted NBs can bind to the receptors of PCa cells and show a prolonged retention effect in dual-tumor mice models. However, the analysis of the prolonged retention effect has so far been limited to qualitative or semi-quantitative approaches.

methodsThis work introduces two pharmacokinetics models for quantitative analysis of time-intensity curves (TICs) obtained from the CEUS loops. The first model is based on describing the vascular input by the modified local density random walk (mLDRW) model and independently interprets TICs from each tumor lesion. Differently, the second model is based on the reference-tissue model, previously proposed in the context of nuclear imaging, and describes the binding kinetics of an indicator in a target tissue by using a reference tissue where binding does not occur.

resultsOur results show that four estimated parameters, β,

conclusionsThese promising results encourage further quantitative analysis of targeted NBs for improved cancer diagnostics and characterization.

Indexed as

Contrast MediaProstatic NeoplasmsAnimalsCell Line, TumorHumansMaleMiceMicrobubblesUltrasonographyContrast Mediacontrast-enhanced ultrasoundmolecular imagingnanobubblespharmacokinetic modelingprostate cancer

Identifiers

PMID36049109
PMCPMC9588563

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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.