Journal article
Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction
Radiation oncology (London, England), v 18(1), 144
02 Sep 2023
PMID: 37660057
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Adaptive radiotherapy (ART) was introduced in the late 1990s to improve the accuracy and efficiency of therapy and minimize radiation-induced toxicities. ART combines multiple tools for imaging, assessing the need for adaptation, treatment planning, quality assurance, and has been utilized to monitor inter- or intra-fraction anatomical variations of the target and organs-at-risk (OARs). Ethos™ (Varian Medical Systems, Palo Alto, CA), a cone beam computed tomography (CBCT) based radiotherapy treatment system that uses artificial intelligence (AI) and machine learning to perform ART, was introduced in 2020. Since then, numerous studies have been done to examine the potential benefits of Ethos™ CBCT-guided ART compared to non-adaptive radiotherapy. This review will explore the current trends of Ethos™, including improved CBCT image quality, a feasible clinical workflow, daily automated contouring and treatment planning, and motion management. Nevertheless, evidence of clinical improvements with the use of Ethos™ are limited and is currently under investigation via clinical trials.
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Details
- Title
- Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction
- Creators
- Hefei Liu - Varian Medical Systems (United States)David Schaal - Varian Medical Systems (United States)Heather Curry - Varian Medical Systems (United States)Ryan Clark - Varian Medical Systems (United States)Anthony Magliari - Varian Medical Systems (United States)Patrick Kupelian - Varian Medical Systems (United States)Deepak Khuntia - Varian Medical Systems (United States)Sushil Beriwal - Allegheny Health Network
- Publication Details
- Radiation oncology (London, England), v 18(1), 144
- Publisher
- BioMed Central
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Web of Science ID
- WOS:001062173500001
- Scopus ID
- 2-s2.0-85169513797
- Other Identifier
- 991021897267904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology
- Radiology, Nuclear Medicine & Medical Imaging