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Dosimetric comparisons of IMRT planning using MCO and DMPO techniques

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收录情况: ◇ SCIE ◇ CPCI(ISTP)

机构: [1]Department of Radiation Oncology, Sichuan Cancer Hospital, Chengdu, Sichuan, China [2]Department of Radiation Oncology, Monmouth Medical Center, Long Branch, NJ, USA
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关键词: Multi-criteria optimization (MCO) IMRT direct machine parameter optimization (DMPO) Pareto optimization

摘要:
The goal of this study was to evaluate the use of multi-criteria optimization (MCO) in the planning and optimization of intensity-modulated radiotherapy (IMRT). Twenty (20) IMRT patients (ten (10) with prostate cancer and ten (10) with lung cancer) were randomly selected. The treatment plans for these patients were designed using direct machine parameter optimization (DMPO). Based on these plans, new plans were designed using multi-criteria optimization (MCO), keeping the optimization objectives and constraints unchanged. Comparisons were made between the new plans, which were based on MCO and DMPO, including the dose distribution, dose volume histogram (DVH), the optimization time and the number of monitor units (MUs). The plan designed using both optimization approaches satisfied all clinical requirements. For similar or better target coverage, the rectum, bladder and small bowel were better protected using MCO than when using DMPO. Additionally, MCO reduced the time for optimization by 58% on average, whereas the MUs increased the time for optimization by 32% on average for prostate cancer. For lung cancer cases, the entire lung, heart and spinal cord were better protected using MCO compared to DMPO. Similarly, MCO reduced the time for optimization by 59% on average, whereas the MUs increased the time for optimization by 11% on average. Compared to DMPO, MCO reduces the dose of the organs at risk (OAR) and shortens the time required for optimization.

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出版当年[2017]版:
大类 | 4 区 医学
小类 | 4 区 工程:生物医学 4 区 卫生保健与服务
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 工程:生物医学 4 区 卫生保健与服务
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出版当年[2017]版:
Q4 HEALTH CARE SCIENCES & SERVICES Q4 ENGINEERING, BIOMEDICAL
最新[2023]版:
Q3 HEALTH CARE SCIENCES & SERVICES Q4 ENGINEERING, BIOMEDICAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]Department of Radiation Oncology, Sichuan Cancer Hospital, Chengdu, Sichuan, China
通讯作者:
通讯机构: [1]Department of Radiation Oncology, Sichuan Cancer Hospital, Chengdu, Sichuan, China [*1]Department of Radiation Oncology, Sichuan Cancer Hospital, 55 Renmin South Road, Chengdu 610041, Sichuan, China.
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