The DOI matches its Crossref record.
Ultrasound Microbubbles for Molecular Diagnosis, Therapy, and Theranostics
Open accessAbstract
Ultrasound imaging is clinically established for routine screening examinations of breast, abdomen, neck, and other soft tissues, as well as for therapy monitoring. Microbubbles as vascular contrast agents improve the detection and characterization of cancerous lesions, inflammatory processes, and cardiovascular pathologies. Taking advantage of the excellent sensitivity and specificity of ultrasound for microbubble detection, molecular imaging can be realized by binding antibodies, peptides, and other targeting moieties to microbubble surfaces. Molecular microbubbles directed against various targets such as vascular endothelial growth factor receptor-2, vascular cell adhesion molecule 1, intercellular adhesion molecule 1, selectins, and integrins were developed and were shown in preclinical studies to be able to selectively bind to tumor blood vessels and atherosclerotic plaques. Currently, the first microbubble formulations targeted to angiogenic vessels in prostate cancers are being evaluated clinically. However, microbubbles can be used for more than diagnosis: disintegrating microbubbles emit acoustic forces that are strong enough to induce thrombolysis, and they can also be used for facilitating drug and gene delivery across biologic barriers. This review on the use of microbubbles for ultrasound-based molecular imaging, therapy, and theranostics addresses innovative concepts and identifies areas in which clinical translation is foreseeable in the near future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nanomaterials for In Vivo Imaging
Smith, B. R., & Gambhir, S. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00073 · Cited by 1,075
Kobayashi, H., Watanabe, R., & Choyke, P. L. (2014) · Theranostics · doi:10.7150/thno.7193 · Cited by 996
Photoacoustic clinical imaging
Steinberg, I., Huland, D. M., Vermesh, O., Frostig, H. E., Tummers, W. S., & Gambhir, S. S. (2019) · Photoacoustics · doi:10.1016/j.pacs.2019.05.001 · Cited by 553
Passive versus Active Tumor Targeting Using RGD- and NGR-Modified Polymeric Nanomedicines
Kunjachan, S., Pola, R., Gremse, F., Theek, B., Ehling, J., Moeckel, D., Hermanns-Sachweh, B., Pechar, M., Ulbrich, K., Hennink, W. E., et al. (2014) · Nano Letters · doi:10.1021/nl404391r · Cited by 317
Self-citationEvolution of contrast agents for ultrasound imaging and ultrasound-mediated drug delivery
Paefgen, V., Doleschel, D., & Kiessling, F. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00197 · Cited by 272
Self-citation
Metadata
- Authors
- Kiessling, F., Fokong, S., Koczera, P., Lederle, W., & Lammers, T.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2012-03
- Volume
- 53
- Issue
- 3
- Pages
- 345-348
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2006926663
- Cited by
- 305
- References
- 0
- FWCI
- 16.39
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ultrasound Microbubbles for Molecular Diagnosis, Therapy, and Theranostics. https://app.cochat.ai/papers/10.2967/jnumed.111.099754
- The paper
- Kiessling, F., Fokong, S., Koczera, P., Lederle, W., & Lammers, T. (2012). Ultrasound Microbubbles for Molecular Diagnosis, Therapy, and Theranostics. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.111.099754
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.