Evaluating the efficacy of biological versus physical cost functions with constrained mode for inverse plan optimization of head and neck cancer.

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Mukesh N Meshram, Laishram Amarjit Singh, Umesh A Palikundwar
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引用次数: 0

Abstract

This study aims to compare and evaluate the potential benefits of using single DV-based, multiple DV-based physical cost function, and biological-based cost functions for organs at risk (OARs) sparing in IMRT as well as VMAT plans of head and neck cancer. Forty head and neck cancer patients treated with inverse plan optimization techniques were retrospectively enrolled for this study. Three different treatment plans were optimized by single DV-based, multiple DV-based physical cost functions, and biological-based cost functions on MONACO 6.1® TPS. All three optimized plans were normalized to deliver the same prescribed target dose. All 120 optimized plans were analyzed using dose evaluation parameters. For IMRT plans, the biological cost functions (BCF) were superior to both DV-based optimizations when it came to the mean dose of parallel organs. For VMAT plans, multiple DV-based physical cost function optimization resulted in a lower mean dose of parallel organs when compared with other two optimization. The biological cost function significantly reduced the mean dose of parallel organs, for which multiple DV-based cost functions were not used. In both IMRT and VMAT plans, the DV-based physical cost function significantly reduced the maximum dose of serial organs, with the exception of the mandible. Biological-based optimization made it more likely that the parallel OARs would be spared in IMRT plans, while multiple DV-based optimization made it more likely that the parallel OARs would be spared in VMAT plans. Both DV-based optimization in IMRT and VMAT plans effectively spared the maximum dose of the serial organ.

基于约束模型的生物成本函数与物理成本函数在头颈癌逆计划优化中的效果评价
本研究旨在比较和评估在头颈癌IMRT和VMAT计划中使用单一DV-based、多个DV-based物理成本函数和基于生物成本函数的危险器官(OARs)保留的潜在益处。采用逆计划优化技术治疗的40例头颈癌患者被回顾性纳入本研究。在MONACO 6.1®TPS上,通过基于单个dv的、基于多个dv的物理成本函数和基于生物成本函数对三种不同的治疗方案进行优化。所有三种优化方案均归一化,以提供相同的规定目标剂量。采用剂量评价参数对120个优化方案进行分析。对于IMRT计划,当涉及平行器官的平均剂量时,生物成本函数(BCF)优于基于dv的优化。对于VMAT方案,基于多个dv的物理代价函数优化比其他两种优化得到的并行器官平均剂量更低。生物成本函数显著降低了平行器官的平均剂量,而不使用多个基于dv的成本函数。在IMRT和VMAT方案中,除了下颌骨外,基于dv的物理成本函数显著降低了一系列器官的最大剂量。在IMRT计划中,基于生物的优化使平行桨更有可能被保留,而在VMAT计划中,基于多个dv的优化使平行桨更有可能被保留。在IMRT和VMAT方案中,基于dv的优化都有效地避免了系列器官的最大剂量。
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来源期刊
Radiological Physics and Technology
Radiological Physics and Technology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
3.00
自引率
12.50%
发文量
40
期刊介绍: The purpose of the journal Radiological Physics and Technology is to provide a forum for sharing new knowledge related to research and development in radiological science and technology, including medical physics and radiological technology in diagnostic radiology, nuclear medicine, and radiation therapy among many other radiological disciplines, as well as to contribute to progress and improvement in medical practice and patient health care.
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