Literature DB >> 32564353

Fraction-variant beam orientation optimization for intensity-modulated proton therapy.

Wenbo Gu1, Daniel O'Connor1, Dan Ruan1, Wei Zou2, Lei Dong2, Ke Sheng1.   

Abstract

PURPOSE: To achieve a superior balance between dosimetry and the delivery efficiency of intensity-modulated proton therapy (IMPT) using as few beams as possible in a single fraction, we optimally vary beams in different fractions.
METHODS: In the optimization, 400~800 feasible noncoplanar beams were included in the candidate pool. For each beam, the doses of all scanning spots covering the target volume and a margin were calculated. The fraction-variant beam orientation optimization (FVBOO) problem was formulated to include three terms: two quadratic dose fidelity terms to penalize the deviation of planning target volume fractional dose and organs at risk (OAR) cumulative doses from prescription, respectively; an L2,1/2-norm group sparsity term to control the number of active beams per fraction to between 1 and 4. The Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) was applied to solve this problem. FVBOO was tested on a patient with base-of-skull (BOS) tumor of 5 fractions (5f) and 30 fractions (30f) with an average number of active beams per fraction varying between 4 and 1. In addition, one bilateral head-and-neck (H&N) patient, and one esophageal cancer (ESG) patient of 30f were tested with about three active beams per fraction. The results were compared with IMPT plans that use fixed beams in each fraction. The fixed beams were selected using the group sparsity term with a fraction-invariant BOO (FIBOO) constraint.
RESULTS: Varying beams were chosen in either the 5f or 30f FVBOO plans. While similar number of beams per fraction was selected as the FIBOO plan, the FVBOO plans were able to spare the OARs better, with an average reduction of [Dmean, Dmax] from the FIBOO plans by [0.85, 2.08] Relative Biological Effective Gy (GyRBE) in the 5f plan and [1.87, 4.06] GyRBE in the 30f plans. While reducing the number of beams per fraction in the BOS patient, a three-beam/fraction 5f FVBOO plan performs comparably as the four-beam FIBOO plan and a two-beam/fraction 30f FVBOO plan still provides superior dosimetry.
CONCLUSION: Fraction-variant beam orientation optimization allows the utilization of a larger beam solution space for superior dose distribution in IMPT while maintaining a practical number of beams in each fraction.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  fraction variant; intensity modulated proton therapy; optimization

Mesh:

Year:  2020        PMID: 32564353      PMCID: PMC7845556          DOI: 10.1002/mp.14340

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


  31 in total

1.  Robust optimization for intensity-modulated proton therapy with soft spot sensitivity regularization.

Authors:  Wenbo Gu; Dan Ruan; Daniel O'Connor; Wei Zou; Lei Dong; Min-Yu Tsai; Xun Jia; Ke Sheng
Journal:  Med Phys       Date:  2019-01-21       Impact factor: 4.071

2.  Spatiotemporal fractionation schemes for liver stereotactic body radiotherapy.

Authors:  Jan Unkelbach; Dávid Papp; Melissa R Gaddy; Nicolaus Andratschke; Theodore Hong; Matthias Guckenberger
Journal:  Radiother Oncol       Date:  2017-09-23       Impact factor: 6.280

3.  Robust spatiotemporal fractionation schemes in the presence of patient setup uncertainty.

Authors:  Melissa R Gaddy; Jan Unkelbach; Dávid Papp
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

4.  Treatment log files as a tool to identify treatment plan sensitivity to inaccuracies in scanned proton beam delivery.

Authors:  Maria Francesca Belosi; Robert van der Meer; Paz Garcia de Acilu Laa; Alessandra Bolsi; Damien C Weber; Antony J Lomax
Journal:  Radiother Oncol       Date:  2017-10-17       Impact factor: 6.280

5.  Simultaneous optimization of dose distributions and fractionation schemes in particle radiotherapy.

Authors:  Jan Unkelbach; Chuan Zeng; Martijn Engelsman
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

6.  Uncertainty incorporated beam angle optimization for IMPT treatment planning.

Authors:  Wenhua Cao; Gino J Lim; Andrew Lee; Yupeng Li; Wei Liu; X Ronald Zhu; Xiaodong Zhang
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

7.  A novel energy layer optimization framework for spot-scanning proton arc therapy.

Authors:  Wenbo Gu; Dan Ruan; Qihui Lyu; Wei Zou; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2020-03-13       Impact factor: 4.071

8.  Optimization of spatiotemporally fractionated radiotherapy treatments with bounds on the achievable benefit.

Authors:  Melissa R Gaddy; Sercan Yıldız; Jan Unkelbach; Dávid Papp
Journal:  Phys Med Biol       Date:  2018-01-05       Impact factor: 3.609

Review 9.  Towards effective and efficient patient-specific quality assurance for spot scanning proton therapy.

Authors:  X Ronald Zhu; Yupeng Li; Dennis Mackin; Heng Li; Falk Poenisch; Andrew K Lee; Anita Mahajan; Steven J Frank; Michael T Gillin; Narayan Sahoo; Xiaodong Zhang
Journal:  Cancers (Basel)       Date:  2015-04-10       Impact factor: 6.639

10.  Small-spot intensity-modulated proton therapy and volumetric-modulated arc therapies for patients with locally advanced non-small-cell lung cancer: A dosimetric comparative study.

Authors:  Chenbin Liu; Terence T Sio; Wei Deng; Jie Shan; Thomas B Daniels; William G Rule; Pedro R Lara; Shawn M Korte; Jiajian Shen; Xiaoning Ding; Steven E Schild; Martin Bues; Wei Liu
Journal:  J Appl Clin Med Phys       Date:  2018-10-17       Impact factor: 2.102

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  1 in total

1.  A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.

Authors:  Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Steve Jiang; Dan Nguyen
Journal:  Mach Learn Sci Technol       Date:  2021-05-13
  1 in total

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