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Cited by 377

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

MRI-Guided Focused Ultrasound Surgery

Open access
Jolesz, Ferenc A.·2009·Annual Review of Medicine

Abstract

MRI-guided focused ultrasound (MRgFUS) surgery is a noninvasive thermal ablation method that uses magnetic resonance imaging (MRI) for target definition, treatment planning, and closed-loop control of energy deposition. Integrating FUS and MRI as a therapy delivery system allows us to localize, target, and monitor in real time, and thus to ablate targeted tissue without damaging normal structures. This precision makes MRgFUS an attractive alternative to surgical resection or radiation therapy of benign and malignant tumors. Already approved for the treatment of uterine fibroids, MRgFUS is in ongoing clinical trials for the treatment of breast, liver, prostate, and brain cancer and for the palliation of pain in bone metastasis. In addition to thermal ablation, FUS, with or without the use of microbubbles, can temporarily change vascular or cell membrane permeability and release or activate various compounds for targeted drug delivery or gene therapy. A disruptive technology, MRgFUS provides new therapeutic approaches and may cause major changes in patient management and several medical disciplines.

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Registry

Crossref · 10.1146/annurev.med.60.041707.170303

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Metadata

Authors
Jolesz, F. A.
Venue
Annual Review of Medicine
Published
2009-02-01
Volume
60
Issue
1
Pages
417-430
ISSN
  • 0066-4219 (ISSN-L)
  • 1545-326X
OpenAlex
W2147130865
Cited by
377
References
71
FWCI
1.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: MRI-Guided Focused Ultrasound Surgery. https://app.cochat.ai/papers/10.1146/annurev.med.60.041707.170303
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Jolesz, F. A. (2009). MRI-Guided Focused Ultrasound Surgery. Annual Review of Medicine. https://doi.org/10.1146/annurev.med.60.041707.170303

Data sources

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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.