A fast optimization approach for treatment planning of volumetric modulated arc therapy.

Background: Volumetric modulated arc therapy (VMAT) is widely used in clinical practice. It not only significantly reduces treatment time, but also produces high-quality treatment plans. Current optimization approaches heavily rely on stochastic algorithms which are time-consuming and less repeatabl...

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Publicado en:Radiation Oncology Vol. 13; no. 1
Autores principales: Yan, Hui, Dai, Jian-Rong, Li, Ye-Xiong
Formato: research Journal Article
Publicado: BioMed Central 5/30/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/30/2018
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      pub: BioMed Central
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        NLM29848368
        129866354
        10.1186/s13014-018-1050-x
        NLM29848368
        129866354
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        atl: A fast optimization approach for treatment planning of volumetric modulated arc therapy.
      aug:
        au:
          Yan, Hui
          Dai, Jian-Rong
          Li, Ye-Xiong
        affil: Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College 100021 Beijing China
      sug:
        subj:
          Radiotherapy, Conformal Methods
          Algorithms
          Radiotherapy, Computer-Assisted Methods
          Head and Neck Neoplasms Radiotherapy
          Human
          Reproducibility of Results
          Prostatic Neoplasms Radiotherapy
          Radiation Dosage
          Lung Neoplasms Radiotherapy
          Male
          Time Factors
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Clinical Assessment Tools
          Ferrans and Powers Quality of Life Index
          Scales
          Male
      ab: Background: Volumetric modulated arc therapy (VMAT) is widely used in clinical practice. It not only significantly reduces treatment time, but also produces high-quality treatment plans. Current optimization approaches heavily rely on stochastic algorithms which are time-consuming and less repeatable. In this study, a novel approach is proposed to provide a high-efficient optimization algorithm for VMAT treatment planning.Methods: A progressive sampling strategy is employed for beam arrangement of VMAT planning. The initial beams with equal-space are added to the plan in a coarse sampling resolution. Fluence-map optimization and leaf-sequencing are performed for these beams. Then, the coefficients of fluence-maps optimization algorithm are adjusted according to the known fluence maps of these beams. In the next round the sampling resolution is doubled and more beams are added. This process continues until the total number of beams arrived. The performance of VMAT optimization algorithm was evaluated using three clinical cases and compared to those of a commercial planning system.Results: The dosimetric quality of VMAT plans is equal to or better than the corresponding IMRT plans for three clinical cases. The maximum dose to critical organs is reduced considerably for VMAT plans comparing to those of IMRT plans, especially in the head and neck case. The total number of segments and monitor units are reduced for VMAT plans. For three clinical cases, VMAT optimization takes < 5 min accomplished using proposed approach and is 3-4 times less than that of the commercial system.Conclusions: The proposed VMAT optimization algorithm is able to produce high-quality VMAT plans efficiently and consistently. It presents a new way to accelerate current optimization process of VMAT planning.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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