Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-09-01
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| Series: | Radiation Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13014-023-02340-2 |
| _version_ | 1797451894378987520 |
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| author | Hefei Liu David Schaal Heather Curry Ryan Clark Anthony Magliari Patrick Kupelian Deepak Khuntia Sushil Beriwal |
| author_facet | Hefei Liu David Schaal Heather Curry Ryan Clark Anthony Magliari Patrick Kupelian Deepak Khuntia Sushil Beriwal |
| author_sort | Hefei Liu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T15:01:01Z |
| format | Article |
| id | doaj.art-6a08e4a06e344dd2be346c127dfb5119 |
| institution | Directory Open Access Journal |
| issn | 1748-717X |
| language | English |
| last_indexed | 2024-03-09T15:01:01Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Radiation Oncology |
| spelling | doaj.art-6a08e4a06e344dd2be346c127dfb51192023-11-26T13:54:03ZengBMCRadiation Oncology1748-717X2023-09-0118111210.1186/s13014-023-02340-2Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future directionHefei Liu0David Schaal1Heather Curry2Ryan Clark3Anthony Magliari4Patrick Kupelian5Deepak Khuntia6Sushil Beriwal7Department of Radiation Oncology, University of PennsylvaniaVarian Medical Systems IncVarian Medical Systems IncVarian Medical Systems IncVarian Medical Systems IncVarian Medical Systems IncVarian Medical Systems IncVarian Medical Systems IncAbstract 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.https://doi.org/10.1186/s13014-023-02340-2Cone-beam computed tomography (CBCT)Adaptive radiotherapy (ART)Ethos™ |
| spellingShingle | Hefei Liu David Schaal Heather Curry Ryan Clark Anthony Magliari Patrick Kupelian Deepak Khuntia Sushil Beriwal Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction Radiation Oncology Cone-beam computed tomography (CBCT) Adaptive radiotherapy (ART) Ethos™ |
| title | Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction |
| title_full | Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction |
| title_fullStr | Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction |
| title_full_unstemmed | Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction |
| title_short | Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction |
| title_sort | review of cone beam computed tomography based online adaptive radiotherapy current trend and future direction |
| topic | Cone-beam computed tomography (CBCT) Adaptive radiotherapy (ART) Ethos™ |
| url | https://doi.org/10.1186/s13014-023-02340-2 |
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