Literature DB >> 27002558

Review of ultrasound image guidance in external beam radiotherapy part II: intra-fraction motion management and novel applications.

Tuathan O'Shea1, Jeffrey Bamber, Davide Fontanarosa, Skadi van der Meer, Frank Verhaegen, Emma Harris.   

Abstract

Imaging has become an essential tool in modern radiotherapy (RT), being used to plan dose delivery prior to treatment and verify target position before and during treatment. Ultrasound (US) imaging is cost-effective in providing excellent contrast at high resolution for depicting soft tissue targets apart from those shielded by the lungs or cranium. As a result, it is increasingly used in RT setup verification for the measurement of inter-fraction motion, the subject of Part I of this review (Fontanarosa et al 2015 Phys. Med. Biol. 60 R77-114). The combination of rapid imaging and zero ionising radiation dose makes US highly suitable for estimating intra-fraction motion. The current paper (Part II of the review) covers this topic. The basic technology for US motion estimation, and its current clinical application to the prostate, is described here, along with recent developments in robust motion-estimation algorithms, and three dimensional (3D) imaging. Together, these are likely to drive an increase in the number of future clinical studies and the range of cancer sites in which US motion management is applied. Also reviewed are selections of existing and proposed novel applications of US imaging to RT. These are driven by exciting developments in structural, functional and molecular US imaging and analytical techniques such as backscatter tissue analysis, elastography, photoacoustography, contrast-specific imaging, dynamic contrast analysis, microvascular and super-resolution imaging, and targeted microbubbles. Such techniques show promise for predicting and measuring the outcome of RT, quantifying normal tissue toxicity, improving tumour definition and defining a biological target volume that describes radiation sensitive regions of the tumour. US offers easy, low cost and efficient integration of these techniques into the RT workflow. US contrast technology also has potential to be used actively to assist RT by manipulating the tumour cell environment and by improving the delivery of radiosensitising agents. Finally, US imaging offers various ways to measure dose in 3D. If technical problems can be overcome, these hold potential for wide-dissemination of cost-effective pre-treatment dose verification and in vivo dose monitoring methods. It is concluded that US imaging could eventually contribute to all aspects of the RT workflow.

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Mesh:

Year:  2016        PMID: 27002558     DOI: 10.1088/0031-9155/61/8/R90

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  25 in total

1.  Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy.

Authors:  Matthias Schlüter; Stefan Gerlach; Christoph Fürweger; Alexander Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-06-06       Impact factor: 2.924

2.  Impact of robotic ultrasound image guidance on plan quality in SBRT of the prostate.

Authors:  Stefan Gerlach; Ivo Kuhlemann; Floris Ernst; Christoph Fürweger; Alexander Schlaefer
Journal:  Br J Radiol       Date:  2017-07-27       Impact factor: 3.039

3.  A 4D ultrasound real-time tracking system for external beam radiotherapy of upper abdominal lesions under breath-hold.

Authors:  Dwi Seno Kuncoro Sihono; Lena Vogel; Christel Weiß; Johannes Thölking; Frederik Wenz; Frank Lohr; Judit Boda-Heggemann; Hansjörg Wertz
Journal:  Strahlenther Onkol       Date:  2016-12-05       Impact factor: 3.621

Review 4.  Review of Real-Time 3-Dimensional Image Guided Radiation Therapy on Standard-Equipped Cancer Radiation Therapy Systems: Are We at the Tipping Point for the Era of Real-Time Radiation Therapy?

Authors:  Paul J Keall; Doan Trang Nguyen; Ricky O'Brien; Pengpeng Zhang; Laura Happersett; Jenny Bertholet; Per R Poulsen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-04-14       Impact factor: 7.038

5.  Comparison between Conventional IMRT Planning and a Novel Real-Time Adaptive Planning Strategy in Hypofractionated Regimes for Prostate Cancer: A Proof-of-Concept Planning Study.

Authors:  Maria Antico; Peter Prinsen; Alice Fracassi; Alfonso Isola; David Cobben; Davide Fontanarosa
Journal:  Healthcare (Basel)       Date:  2019-12-02

6.  A block matching based approach with multiple simultaneous templates for the real-time 2D ultrasound tracking of liver vessels.

Authors:  Andrew J Shepard; Bo Wang; Thomas K F Foo; Bryan P Bednarz
Journal:  Med Phys       Date:  2017-10-13       Impact factor: 4.071

7.  First-in-human imaging using a MR-compatible e4D ultrasound probe for motion management of radiotherapy.

Authors:  Bryan P Bednarz; Sydney Jupitz; Warren Lee; David Mills; Heather Chan; Timothy Fiorillo; James Sabitini; David Shoudy; Aqsa Patel; Jhimli Mitra; Shourya Sarcar; Bo Wang; Andrew Shepard; Charles Matrosic; James Holmes; Wesley Culberson; Michael Bassetti; Patrick Hill; Alan McMillan; James Zagzebski; L Scott Smith; Thomas K Foo
Journal:  Phys Med       Date:  2021-07-01       Impact factor: 3.119

8.  Case Report: Treatment Planning Study to Demonstrate Feasibility of Transthoracic Ultrasound Guidance to Facilitate Ventricular Tachycardia Ablation With Protons.

Authors:  Rosalind Perrin; Patrick Maguire; Adriano Garonna; Georg Weidlich; Shelley Bulling; Marie Fargier-Voiron; Cedric De Marco; Eleonora Rossi; Mario Ciocca; Viviana Vitolo; Alfredo Mirandola
Journal:  Front Cardiovasc Med       Date:  2022-05-04

9.  Experimental and numerical studies on kV scattered x-ray imaging for real-time image guidance in radiation therapy.

Authors:  Yanqi Huang; Kai Yang; Youfang Lai; Huan Liu; Chenyang Shen; Yuncheng Zhong; Yiping Shao; Xinhua Li; Bob Liu; Xun Jia
Journal:  Phys Med Biol       Date:  2021-02-11       Impact factor: 3.609

10.  Clinical Manifestations of Ultrasonic Virtual Reality in the Diagnosis and Treatment of Cardiovascular Diseases.

Authors:  Hairong Chen; Qiuguo Zou; Qi Wang
Journal:  J Healthc Eng       Date:  2021-06-25       Impact factor: 2.682

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