Journal ArticleDOI
Online Adaptive Radiation Therapy
TLDR
Various studies have explored how a putative ART solution would improve the current state of the art of radiation therapy-some centers have even clinically implemented online adaptation, and explorations are reviewed here for a variety of sites.Abstract:
The current paradigm of radiation therapy has the treatment planned on a snapshot dataset of the patient's anatomy taken at the time of simulation. Throughout the course of treatment, this snapshot may vary from initial simulation. Although there is the ability to image patients within the treatment room with technologies such as cone beam computed tomography, the current state of the art is largely limited to rigid-body matching and not accounting for any geometric deformations in the patient's anatomy. A plan that was once attuned to the initial simulation can become suboptimal as the treatment progresses unless improved technologies are brought to bear. Adaptive radiation therapy (ART) is an evolving paradigm that seeks to address this deficiency by accounting for ongoing changes in the patient's anatomy and/or physiology during the course of treatment, affording an increasingly more accurate targeting of disease. ART relies on several components working in concert, namely in-room treatment image guidance, deformable image registration, automatic recontouring, plan evaluation and reoptimization, dose calculation, and quality assurance. Various studies have explored how a putative ART solution would improve the current state of the art of radiation therapy-some centers have even clinically implemented online adaptation. These explorations are reviewed here for a variety of sites.read more
Citations
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Survey on deep learning for radiotherapy.
TL;DR: The concept of deep learning is explained, addressing it in the broader context of machine learning, and the most common network architectures are presented, with a more specific focus on convolutional neural networks.
Journal ArticleDOI
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
Reid F. Thompson,Gilmer Valdes,Clifton D. Fuller,Colin M. Carpenter,Olivier Morin,Sanjay Aneja,William D. Lindsay,Hugo J.W.L. Aerts,Barbara Agrimson,Curtiland Deville,Seth A. Rosenthal,James B. Yu,Charles R. Thomas +12 more
TL;DR: The current state and anticipated future impact of AI on Radiation Oncology is explored, in detail, focusing on key topics from multiple stakeholder perspectives, as well as the role the specialty may play in helping to shape the future of AI within the larger spectrum of medicine.
Journal ArticleDOI
Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations
Ana M. Barragan-Montero,Ana M. Barragan-Montero,Dan Nguyen,Weiguo Lu,Mu-Han Lin,Roya Norouzi-Kandalan,Xavier Geets,Xavier Geets,Edmond Sterpin,Edmond Sterpin,Steve B. Jiang +10 more
TL;DR: In this paper, the authors proposed an anatomy and beam (AB) model that considers variable beam configurations in addition to patient anatomy to achieve more comprehensive automatic planning with a potentially easier clinical implementation, without the need to train specific models for different beam settings.
Journal ArticleDOI
Magnetic resonance-guided radiation therapy: A review.
S. Chin,Cynthia L. Eccles,Alan McWilliam,Robert Chuter,Emma Walker,Philip Whitehurst,Joseph Berresford,Marcel van Herk,Peter Hoskin,Ananya Choudhury +9 more
TL;DR: MRgRT can potentially transform radiation oncology by improving tumour control and quality of life after radiation therapy and increasing convenience of treatment by shortening treatment courses for patients, according to a review of current implementations, studies, potential benefits and challenges.
Journal ArticleDOI
Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology
Carri K Glide-Hurst,Percy Lee,Adam D. Yock,Jeffrey R. Olsen,Minsong Cao,Farzan Siddiqui,William Parker,Anthony Doemer,Yi Rong,Amar U. Kishan,Stanley H Benedict,X. Allen Li,Beth Erickson,Jason W. Sohn,Ying Xiao,Evan Wuthrick +15 more
TL;DR: This work sought to review presently available ART workflows as well as technological considerations such as image quality, deformable image registration, and dose accumulation and to guide future clinical trial protocols.
References
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Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy
Sasa Mutic,James F. Dempsey +1 more
TL;DR: The on-couch adaptive RT treatment-planning system and integrated MRI-guided RT control system allow for rapid adaptive planning and beam delivery control based on the visualization of soft tissues.