Literature DB >> 31027638

Automated Radiotherapy Treatment Planning.

Kevin L Moore1.   

Abstract

The "treatment planning" component of managing a radiotherapy patient currently consumes hours, even days, of human effort. The time and workforce demands of the current planning paradigm can expose patients to delays and potentially substandard treatments, all while standing as seemingly insurmountable roadblocks to adaptive radiotherapy. Automating the treatment planning process is not a new idea, but recent advances have shown that automated planning might finally be turning the corner from niche research endeavor to a standard clinical practice. In this Seminar, we will examine the current state of automated radiotherapy planning, taking particular care to consider the most critical component of the planning problem: how to generate high-quality treatment solutions that account for patient-to-patient anatomical variation. Recommendations for testing and validating automated planning routines will be discussed, as well as potential drawbacks that might persist even after robust validation has been conducted.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31027638     DOI: 10.1016/j.semradonc.2019.02.003

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  14 in total

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Authors:  R de Jong; K F Crama; J Visser; N van Wieringen; J Wiersma; E D Geijsen; A Bel
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Authors:  David H Thomas; Brian Miller; Rachel Rabinovitch; Sarah Milgrom; Brian Kavanagh; Quentin Diot; Moyed Miften; Leah K Schubert
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5.  Advanced treatment planning strategies to enhance quality and efficiency of radiotherapy.

Authors:  Luca Cozzi; Ben J M Heijmen; Ludvig P Muren
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Journal:  Phys Imaging Radiat Oncol       Date:  2020-07-13

7.  Combining automatic plan integrity check (APIC) with standard plan document and checklist method to reduce errors in treatment planning.

Authors:  Ping Xia; Danielle LaHurd; Peng Qi; Anthony Mastroianni; Daesung Lee; Anthony Magnelli; Eric Murray; Matt Kolar; Bingqi Guo; Tim Meier; Samual T Chao; John H Suh; Naichang Yu
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Review 8.  Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future.

Authors:  Chunhao Wang; Xiaofeng Zhu; Julian C Hong; Dandan Zheng
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

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Review 10.  A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning.

Authors:  Mingqing Wang; Qilin Zhang; Saikit Lam; Jing Cai; Ruijie Yang
Journal:  Front Oncol       Date:  2020-10-23       Impact factor: 6.244

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