Evidence map›Paper›PMID 31903132›Full record

ReviewTheranostics2020

Micro/nano-bubble-assisted ultrasound to enhance the EPR effect and potential theranostic applications.

Lei Duan, Li Yang, Juan Jin, Fang Yang, Dong Liu, Ke Hu, Qinxin Wang, Yuanbin Yue, Ning Gu

Abstract readReview
In one paragraph

Review in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
–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

102 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. SonoPIN enables precise, noninvasive, and efficient intracellular delivery of PROTACs.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Cell-Free DNA-Based Theranostics for Inflammatory Disorders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review

42 more citing papers are in PubMed but not listed here.

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

9 authors.

Lei DuanSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, P. R. China.
Li YangState Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, P. R. China.
Juan JinState Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, P. R. China.
Fang YangState Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, P. R. China.
Dong LiuWest Anhui University, Lu'an, P.R. China.
Ke HuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, P. R. China.
Qinxin WangSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, P. R. China.
Yuanbin YueSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, P. R. China.
Ning GuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug delivery for tumor theranostics involves the extensive use of the enhanced permeability and retention (EPR) effect. Previously, various types of nanomedicines have been demonstrated to accumulate in solid tumors via the EPR effect. However, EPR is a highly variable phenomenon because of tumor heterogeneity, resulting in low drug delivery efficacy in clinical trials. Because ultrasonication using micro/nanobubbles as contrast agents can disrupt blood vessels and enhance the specific delivery of drugs, it is an effective approach to improve the EPR effect for the passive targeting of tumors. In this review, the basic thermal effect, acoustic streaming, and cavitation mechanisms of ultrasound, which are characteristics that can be utilized to enhance the EPR effect, are briefly introduced. Second, micro/nanobubble-enhanced ultrasound imaging is discussed to understand the validity and variability of the EPR effect. Third, because the tumor microenvironment is complicated owing to elevated interstitial fluid pressure and the deregulated extracellular matrix components, which may be unfavorable for the EPR effect, few new trends in smart bubble drug delivery systems, which may improve the accuracy of EPR-mediated passive drug targeting, are summarized. Finally, the challenging and major concerns that should be considered in the next generation of micro/nanobubble-contrast-enhanced ultrasound theranostics for EPR-mediated passive drug targeting are also discussed.

Indexed as

MicrobubblesUltrasonic WavesAnimalsAntineoplastic AgentsContrast MediaDrug Delivery SystemsHumansNanoparticlesNeoplasmsPermeabilityPrecision MedicineTumor MicroenvironmentAntineoplastic AgentsContrast Mediacontrolled drug deliveryEPR effectmicro/nanobubblestumor theranosticsultrasound

Identifiers

PMID31903132
PMCPMC6929974

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.