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...
| Publicado en: | Radiation Oncology Vol. 13; no. 1 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
5/30/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129866354&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129866354 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1748717X 38NX jtl: Radiation Oncology issn: 1748717X maglogo: N pubinfo: dt: 5/30/2018 vid: 13 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 129866354 129866354 NLM29848368 129866354 10.1186/s13014-018-1050-x NLM29848368 129866354 ppct: 1 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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