Literature DB >> 30074813

Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.

Mohammad Hussein1, Ben J M Heijmen2, Dirk Verellen3,4, Andrew Nisbet5,6.   

Abstract

Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive process requiring a high level of treatment planner intervention to ensure high plan quality. This can lead to variability in the quality of treatment plans and the efficiency in which plans are produced, depending on the skills and experience of the operator and available planning time. Within the last few years, there has been significant progress in the research and development of intensity modulated radiotherapy treatment planning approaches with automation support, with most commercial manufacturers now offering some form of solution. There is a rapidly growing number of research articles published in the scientific literature on the topic. This paper critically reviews the body of publications up to April 2018. The review describes the different types of automation algorithms, including the advantages and current limitations. Also included is a discussion on the potential issues with routine clinical implementation of such software, and highlights areas for future research.

Mesh:

Year:  2018        PMID: 30074813      PMCID: PMC6319857          DOI: 10.1259/bjr.20180270

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  206 in total

1.  Accurate prediction of target dose-escalation and organ-at-risk dose levels for non-small cell lung cancer patients.

Authors:  Steven F Petit; Wouter van Elmpt
Journal:  Radiother Oncol       Date:  2015-08-22       Impact factor: 6.280

2.  Automatic planning on hippocampal avoidance whole-brain radiotherapy.

Authors:  Shuo Wang; Dandan Zheng; Chi Zhang; Rongtao Ma; Nathan R Bennion; Yu Lei; Xiaofeng Zhu; Charles A Enke; Sumin Zhou
Journal:  Med Dosim       Date:  2017 Spring       Impact factor: 1.482

3.  Fast automated segmentation of multiple objects via spatially weighted shape learning.

Authors:  Shekhar S Chandra; Jason A Dowling; Peter B Greer; Jarad Martin; Chris Wratten; Peter Pichler; Jurgen Fripp; Stuart Crozier
Journal:  Phys Med Biol       Date:  2016-10-25       Impact factor: 3.609

4.  Automation and intensity modulated radiation therapy for individualized high-quality tangent breast treatment plans.

Authors:  Thomas G Purdie; Robert E Dinniwell; Anthony Fyles; Michael B Sharpe
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-08-23       Impact factor: 7.038

5.  Effect of Dosimetric Outliers on the Performance of a Commercial Knowledge-Based Planning Solution.

Authors:  Alexander R Delaney; Jim P Tol; Max Dahele; Johan Cuijpers; Ben J Slotman; Wilko F A R Verbakel
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-10       Impact factor: 7.038

6.  Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method.

Authors:  Chris McIntosh; Mattea Welch; Andrea McNiven; David A Jaffray; Thomas G Purdie
Journal:  Phys Med Biol       Date:  2017-07-06       Impact factor: 3.609

7.  A hierarchical evolutionary algorithm for multiobjective optimization in IMRT.

Authors:  Clay Holdsworth; Minsun Kim; Jay Liao; Mark H Phillips
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

8.  Dose-volume objectives in multi-criteria optimization.

Authors:  Tarek Halabi; David Craft; Thomas Bortfeld
Journal:  Phys Med Biol       Date:  2006-07-20       Impact factor: 3.609

9.  A column-generation-based method for multi-criteria direct aperture optimization.

Authors:  Ehsan Salari; Jan Unkelbach
Journal:  Phys Med Biol       Date:  2013-01-14       Impact factor: 3.609

10.  Sample size requirements for knowledge-based treatment planning.

Authors:  Justin J Boutilier; Tim Craig; Michael B Sharpe; Timothy C Y Chan
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

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  44 in total

Review 1.  Complexity metrics for IMRT and VMAT plans: a review of current literature and applications.

Authors:  Sophie Chiavassa; Igor Bessieres; Magali Edouard; Michel Mathot; Alexandra Moignier
Journal:  Br J Radiol       Date:  2019-07-24       Impact factor: 3.039

Review 2.  Treatment planning for proton therapy: what is needed in the next 10 years?

Authors:  Hakan Nystrom; Maria Fuglsang Jensen; Petra Witt Nystrom
Journal:  Br J Radiol       Date:  2019-08-07       Impact factor: 3.039

3.  Automatic configuration of the reference point method for fully automated multi-objective treatment planning applied to oropharyngeal cancer.

Authors:  Rens van Haveren; Ben J M Heijmen; Sebastiaan Breedveld
Journal:  Med Phys       Date:  2020-03-05       Impact factor: 4.071

Review 4.  Artificial intelligence in radiation oncology.

Authors:  Elizabeth Huynh; Ahmed Hosny; Christian Guthier; Danielle S Bitterman; Steven F Petit; Daphne A Haas-Kogan; Benjamin Kann; Hugo J W L Aerts; Raymond H Mak
Journal:  Nat Rev Clin Oncol       Date:  2020-08-25       Impact factor: 66.675

5.  Artificial Intelligence in Radiation Therapy.

Authors:  Yabo Fu; Hao Zhang; Eric D Morris; Carri K Glide-Hurst; Suraj Pai; Alberto Traverso; Leonard Wee; Ibrahim Hadzic; Per-Ivar Lønne; Chenyang Shen; Tian Liu; Xiaofeng Yang
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-08-24

6.  Tree-based exploration of the optimization objectives for automatic cervical cancer IMRT treatment planning.

Authors:  Hanlin Wang; Ruoxi Wang; Jiacheng Liu; Jian Zhang; Kaining Yao; Haizhen Yue; Yibao Zhang; Jing You; Hao Wu
Journal:  Br J Radiol       Date:  2021-06-16       Impact factor: 3.629

7.  Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface.

Authors:  Charles Huang; Yong Yang; Neil Panjwani; Stephen Boyd; Lei Xing
Journal:  IEEE Trans Biomed Eng       Date:  2021-09-20       Impact factor: 4.756

8.  Dosimetric Evaluation of Simplified Knowledge-Based Plan with an Extensive Stepping Validation Approach in Volumetric-Modulated Arc Therapy-Stereotactic Body Radiotherapy for Lung Cancer.

Authors:  Yutaro Wada; Hajime Monzen; Mikoto Tamura; Masakazu Otsuka; Masahiro Inada; Kazuki Ishikawa; Hiroshi Doi; Kiyoshi Nakamatsu; Yasumasa Nishimura
Journal:  J Med Phys       Date:  2021-05-05

9.  Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies.

Authors:  Yang Zhong; Lei Yu; Jun Zhao; Yingtao Fang; Yanju Yang; Zhiqiang Wu; Jiazhou Wang; Weigang Hu
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

10.  Personalized Treatment Planning Automation in Prostate Cancer Radiation Oncology: A Comprehensive Dosimetric Study.

Authors:  Savino Cilla; Carmela Romano; Vittoria E Morabito; Gabriella Macchia; Milly Buwenge; Nicola Dinapoli; Luca Indovina; Lidia Strigari; Alessio G Morganti; Vincenzo Valentini; Francesco Deodato
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

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