Evidence map›Paper›PMID 33153807›Full record

ArticleUltrasound in medicine & biology2021

Therapeutic Ultrasound Parameter Optimization for Drug Delivery Applied to a Murine Model of Hepatocellular Carcinoma.

Arsenii V Telichko, Huaijun Wang, Sunitha Bachawal, Sukumar U Kumar, Jagathesh C Bose, Ramasamy Paulmurugan, Jeremy J Dahl

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Article
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  7. Article
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  10. 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.

Arsenii V TelichkoDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Huaijun WangDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Sunitha BachawalDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Sukumar U KumarDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Jagathesh C BoseDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Ramasamy PaulmuruganDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA.
Jeremy J DahlDepartment of Radiology, School of Medicine, Stanford University, Stanford, California, USA. Electronic address: jjdahl@stanford.edu.

Funding

Therapeutic miRNA Modulation of Hepatocellular Carcinoma Using Ultrasound Guided Drug DeliveryR01CA209888 · NCI · STANFORD UNIVERSITY · PI DAHL, JEREMY, PAULMURUGAN, RAMASAMY · 2017 to 2021
$3.1M
3D Passive Cavitation Imaging-Guided Therapeutic Delivery of MicroRNA into CancerR21EB022298 · NIBIB · STANFORD UNIVERSITY · PI PAULMURUGAN, RAMASAMY · 2016 to 2017
$441k
NCI NIH HHS R01 CA209888NIBIB NIH HHS R21 EB022298
6 · The paper itself

Abstract

Ultrasound and microbubble (USMB)-mediated drug delivery is a valuable tool for increasing the efficiency of the delivery of therapeutic agents to cancer while maintaining low systemic toxicity. Typically, selection of USMB drug delivery parameters used in current research settings are either based on previous studies described in the literature or optimized using tissue-mimicking phantoms. However, phantoms rarely mimic in vivo tumor environments, and the selection of parameters should be based on the application or experiment. In the following study, we optimized the therapeutic parameters of the ultrasound drug delivery system to achieve the most efficient in vivo drug delivery using fluorescent semiconducting polymer nanoparticles as a model nanocarrier. We illustrate that voltage, pulse repetition frequency and treatment time (i.e., number of ultrasound pulses per therapy area) delivered to the tumor can successfully be optimized in vivo to ensure effective delivery of the semiconducting polymer nanoparticles to models of hepatocellular carcinoma. The optimal in vivo parameters for USMB drug delivery in this study were 70 V (peak negative pressure = 3.4 MPa, mechanical index = 1.22), 1-Hz pulse repetition frequency and 100-s therapy time. USMB-mediated drug delivery using in vivo optimized ultrasound parameters caused an up to 2.2-fold (p < 0.01) increase in drug delivery to solid tumors compared with that using phantom-optimized ultrasound parameters.

Indexed as

Drug Delivery SystemsUltrasonic WavesAnimalsCalibrationCarcinoma, HepatocellularDisease Models, AnimalFemaleFluorescenceHep G2 CellsHumansLiver NeoplasmsMiceMicrobubblesNecrosisNeoplasm TransplantationQuantum DotsDrug deliveryHepatocellular carcinomaMicrobubblesSonoporationTherapyUltrasound

Identifiers

PMID33153807
PMCPMC8489309

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Registered trials

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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.