The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High intensity focused ultrasound in clinical tumor ablation
Open accessAbstract
Recent advances in high intensity focused ultrasound (HIFU), which was developed in the 1940s as a viable thermal tissue ablation approach, have increased its popularity. In clinics, HIFU has been applied to treat a variety of solid malignant tumors in a well-defined volume, including the pancreas, liver, prostate, breast, uterine fibroids, and soft-tissue sarcomas. In comparison to conventional tumor/cancer treatment modalities, such as open surgery, radio- and chemo-therapy, HIFU has the advantages of non-invasion, non-ionization, and fewer complications after treatment. Over 100 000 cases have been treated throughout the world with great success. The fundamental principles of HIFU ablation are coagulative thermal necrosis due to the absorption of ultrasound energy during transmission in tissue and the induced cavitation damage. This paper reviews the clinical outcomes of HIFU ablation for applicable cancers, and then summarizes the recommendations for a satisfactory HIFU treatment according to clinical experience. In addition, the current challenges in HIFU for engineers and physicians are also included. More recent horizons have broadened the application of HIFU in tumor treatment, such as HIFU-mediated drug delivery, vessel occlusion, and soft tissue erosion ("histotripsy"). In summary, HIFU is likely to play a significant role in the future oncology practice.
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
Cites
Jemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., & Thun, M. J. (2009) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20006 · Cited by 9,709
Hynynen, K., McDannold, N., Sheikov, N. A., Jolesz, F. A., & Vykhodtseva, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.046 · Cited by 679
Cited by
Izadifar, Z., Izadifar, Z., Chapman, D., & Babyn, P. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020460 · Cited by 457
Tumor Ablation: Common Modalities and General Practices
Knavel, E. M., & Brace, C. L. (2013) · Techniques in Vascular and Interventional Radiology · doi:10.1053/j.tvir.2013.08.002 · Cited by 368
Advances and perspectives in organic sonosensitizers for sonodynamic therapy
Xing, X., Zhao, S., Xu, T., Huang, L., Zhang, Y., Lan, M., Lin, C., Zheng, X., & Wang, P. (2021) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2021.214087 · Cited by 334
Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces
Seo, D., Carmena, J. M., Rabaey, J. M., Alon, E., & Maharbiz, M. M. (2013) · arXiv · doi:10.48550/arxiv.1307.2196 · Cited by 172
Present and future of metal nanoparticles in tumor ablation therapy
Lou, W., Xie, L., Xu, L., Xu, M., Xu, F., Zhao, Q., & Jiang, T. (2023) · Nanoscale · doi:10.1039/d3nr04362b · Cited by 33
Metadata
- Authors
- Zhou, Y.-F.
- Venue
- World Journal of Clinical Oncology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2011
- Volume
- 2
- Issue
- 1
- Pages
- 8
- ISSN
- 2218-4333 (ISSN-L)
- OpenAlex
- W2032526594
- Cited by
- 625
- References
- 2
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: High intensity focused ultrasound in clinical tumor ablation. https://app.cochat.ai/papers/10.5306/wjco.v2.i1.8
- The paper
- Zhou, Y.-F. (2011). High intensity focused ultrasound in clinical tumor ablation. World Journal of Clinical Oncology. https://doi.org/10.5306/wjco.v2.i1.8
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.