Literature DB >> 31055858

Automated intensity modulated treatment planning: The expedited constrained hierarchical optimization (ECHO) system.

Masoud Zarepisheh1, Linda Hong1, Ying Zhou1, Jung Hun Oh1, James G Mechalakos1, Margie A Hunt1, Gig S Mageras1, Joseph O Deasy1.   

Abstract

PURPOSE: To develop and implement a fully automated approach to intensity modulated radiation therapy (IMRT) treatment planning.
METHOD: The optimization algorithm is developed based on a hierarchical constrained optimization technique and is referred internally at our institution as expedited constrained hierarchical optimization (ECHO). Beamlet contributions to regions-of-interest are precomputed and captured in the influence matrix. Planning goals are of two classes: hard constraints that are strictly enforced from the first step (e.g., maximum dose to spinal cord), and desirable goals that are sequentially introduced in three constrained optimization problems (better planning target volume (PTV) coverage, lower organ at risk (OAR) doses, and smoother fluence map). After solving the optimization problems using external commercial optimization engines, the optimal fluence map is imported into an FDA-approved treatment planning system (TPS) for leaf sequencing and accurate full dose calculation. The dose-discrepancy between the optimization and TPS dose calculation is then calculated and incorporated into optimization by a novel dose correction loop technique using Lagrange multipliers. The correction loop incorporates the leaf sequencing and scattering effects into optimization to improve the plan quality and reduce the calculation time. The resultant optimal fluence map is again imported into TPS for leaf sequencing and final dose calculation for plan evaluation and delivery. The workflow is automated using application program interface (API) scripting, requiring user interaction solely to prepare the contours and beam arrangement prior to launching the ECHO plug-in from the TPS. For each site, parameters and objective functions are chosen to represent clinical priorities. The first site chosen for clinical implementation was metastatic paraspinal lesions treated with stereotactic body radiotherapy (SBRT). As a first step, 75 ECHO paraspinal plans were generated retrospectively and compared with clinically treated plans generated by planners using VMAT (volumetric modulated arc therapy) with 4 to 6 partial arcs. Subsequently, clinical deployment began in April, 2017.
RESULTS: In retrospective study, ECHO plans were found to be dosimetrically superior with respect to tumor coverage, plan conformity, and OAR sparing. For example, the average PTV D95%, cord and esophagus max doses, and Paddick Conformity Index were improved, respectively, by 1%, 6%, 14%, and 15%, at a negligible 3% cost of the average skin D10cc dose.
CONCLUSION: Hierarchical constrained optimization is a powerful and flexible tool for automated IMRT treatment planning. The dosimetric correction step accurately accounts for detailed dosimetric multileaf collimator and scattering effects. The system produces high-quality, Pareto optimal plans and avoids the time-consuming trial-and-error planning process.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  IMRT; automated planning; hierarchical optimization

Mesh:

Year:  2019        PMID: 31055858      PMCID: PMC6625843          DOI: 10.1002/mp.13572

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  25 in total

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Authors:  L Xing; J G Li; S Donaldson; Q T Le; A L Boyer
Journal:  Phys Med Biol       Date:  1999-10       Impact factor: 3.609

2.  A simple scoring ratio to index the conformity of radiosurgical treatment plans. Technical note.

Authors:  I Paddick
Journal:  J Neurosurg       Date:  2000-12       Impact factor: 5.115

3.  Reducing dose calculation time for accurate iterative IMRT planning.

Authors:  Jeffrey V Siebers; Marc Lauterbach; Shidong Tong; Qiuwen Wu; Radhe Mohan
Journal:  Med Phys       Date:  2002-02       Impact factor: 4.071

4.  Tools for the analysis of dose optimization: II. Sensitivity analysis.

Authors:  M Alber; M Birkner; F Nüsslin
Journal:  Phys Med Biol       Date:  2002-10-07       Impact factor: 3.609

5.  IMRT treatment planning based on prioritizing prescription goals.

Authors:  Jan J Wilkens; James R Alaly; Konstantin Zakarian; Wade L Thorstad; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2007-02-27       Impact factor: 3.609

6.  Lexicographic ordering: intuitive multicriteria optimization for IMRT.

Authors:  Kyung-Wook Jee; Daniel L McShan; Benedick A Fraass
Journal:  Phys Med Biol       Date:  2007-03-07       Impact factor: 3.609

Review 7.  Obstacles and advances in intensity-modulated radiation therapy treatment planning.

Authors:  Joseph O Deasy; James R Alaly; Konstantin Zakaryan
Journal:  Front Radiat Ther Oncol       Date:  2007

8.  Pareto navigation: algorithmic foundation of interactive multi-criteria IMRT planning.

Authors:  M Monz; K H Küfer; T R Bortfeld; C Thieke
Journal:  Phys Med Biol       Date:  2008-01-24       Impact factor: 3.609

9.  How many plans are needed in an IMRT multi-objective plan database?

Authors:  David Craft; Thomas Bortfeld
Journal:  Phys Med Biol       Date:  2008-05-01       Impact factor: 3.609

10.  IMRT treatment planning for prostate cancer using prioritized prescription optimization and mean-tail-dose functions.

Authors:  V H Clark; Y Chen; J Wilkens; J R Alaly; K Zakaryan; J O Deasy
Journal:  Linear Algebra Appl       Date:  2008-03-01       Impact factor: 1.401

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  13 in total

1.  Automating proton treatment planning with beam angle selection using Bayesian optimization.

Authors:  Vicki T Taasti; Linda Hong; Jin Sup Andy Shim; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2020-05-27       Impact factor: 4.071

2.  Integrating soft and hard dose-volume constraints into hierarchical constrained IMRT optimization.

Authors:  Sovanlal Mukherjee; Linda Hong; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2019-12-04       Impact factor: 4.071

3.  Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy.

Authors:  Masoud Zarepisheh; Linda Hong; Ying Zhou; Qijie Huang; Jie Yang; Gourav Jhanwar; Hai D Pham; Pinar Dursun; Pengpeng Zhang; Margie A Hunt; Gig S Mageras; Jonathan T Yang; Yoshiya Yamada; Joseph O Deasy
Journal:  INFORMS J Appl Anal       Date:  2022-02-01

4.  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

5.  Domain knowledge driven 3D dose prediction using moment-based loss function.

Authors:  Gourav Jhanwar; Navdeep Dahiya; Parmida Ghahremani; Masoud Zarepisheh; Saad Nadeem
Journal:  Phys Med Biol       Date:  2022-09-14       Impact factor: 4.174

6.  Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.

Authors:  Donghoon Lee; Yu-Chi Hu; Licheng Kuo; Sadegh Alam; Ellen Yorke; Anyi Li; Andreas Rimner; Pengpeng Zhang
Journal:  Radiother Oncol       Date:  2022-02-18       Impact factor: 6.901

7.  Clinical Experience of Automated SBRT Paraspinal and Other Metastatic Tumor Planning With Constrained Hierarchical Optimization.

Authors:  Linda Hong; Ying Zhou; Jie Yang; James G Mechalakos; Margie A Hunt; Gig S Mageras; Jonathan Yang; Josh Yamada; Joseph O Deasy; Masoud Zarepisheh
Journal:  Adv Radiat Oncol       Date:  2019-12-03

8.  Technical Note: Synthetic treatment beam imaging for motion monitoring during spine SBRT treatments - a phantom study.

Authors:  Tianfang Li; Feifei Li; Weixing Cai; Pengpeng Zhang; Xiang Li
Journal:  Med Phys       Date:  2020-12-07       Impact factor: 4.071

9.  Solving the volumetric modulated arc therapy (VMAT) problem using a sequential convex programming method.

Authors:  Pınar Dursun; Masoud Zarepisheh; Gourav Jhanwar; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2021-04-14       Impact factor: 4.174

10.  Failure mode and effect analysis for linear accelerator-based paraspinal stereotactic body radiotherapy.

Authors:  Sangkyu Lee; Dale Michael Lovelock; Alex Kowalski; Kate Chapman; Robert Foley; Mary Gil; Gerri Pastrana; Daniel S Higginson; Yoshiya Yamada; Lei Zhang; James Mechalakos; Ellen Yorke
Journal:  J Appl Clin Med Phys       Date:  2021-10-28       Impact factor: 2.102

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