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通过Python代码编程,利用导数的第一原理确定未展平射束剂量分析的拐点。

Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming.

作者信息

Shende Ravindra, Gupta Gourav, Macherla Subash

机构信息

Department of Radiation Oncology, Balco Medical Centre, NayaRaipur, India.

出版信息

Rep Pract Oncol Radiother. 2019 Sep-Oct;24(5):432-442. doi: 10.1016/j.rpor.2019.07.009. Epub 2019 Jul 29.

DOI:10.1016/j.rpor.2019.07.009
PMID:31388337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6669346/
Abstract

BACKGROUND

Practice of Unflattened or Flattening filter free (FFF) beam has become the high dose standard in radiotherapy (RT), such as stereotactic radio-surgery (SRS) and stereotactic radiotherapy (SRT). The removal of a flattening filter (FF) from the path of a photon beam alters the characteristics of FFF beam. Since the conventional route for dosimetric analysis of FF beam cannot be applied to FFF beam, the procedure of analyzing beam characteristics for FFF beam based on inflection points (IPs) is used. IP is a point where the concavity change observed corresponds to its change in sign (±) of the second derivative.

AIM

The objective of the study is to determine IPs for dosimetric analysis of the FFF beam profile.

METHODS AND MATERIALS

In this study, IPs are determined through the python code programming based on the mathematical first principle of the derivative. They are compared with IPs estimated by the conventional graphical manual method using Microsoft Excel (MS). IPs and their dependent dosimetric parameters determined by both mathematical and graphical manual methods are compared.

RESULT

Percentage differences between the IPs determined by both methods, for 6MVFFF inline and crossline beam profile are found to be 2.7% and 0.8% respectively. Similarly, the average penumbra differences for 6MVFFF inline and crossline beam profile are found to be 0.15 mm and 0.9 mm, respectively. However, differences in the field width between both methods are found insignificant.

CONCLUSION

Graphical manual method is very time-consuming, tedious and user dependent. However, the mathematical method through python code programming is more precise, faster and independent of individual users.

摘要

背景

非均整滤过或均整滤过器去除(FFF)束流的应用已成为放射治疗(RT)中的高剂量标准,如立体定向放射外科(SRS)和立体定向放疗(SRT)。从光子束路径中移除均整滤过器(FF)会改变FFF束流的特性。由于FF束流剂量分析的传统方法不适用于FFF束流,因此采用基于拐点(IP)分析FFF束流特性的程序。IP是观察到的凹度变化与其二阶导数的符号(±)变化相对应的点。

目的

本研究的目的是确定用于FFF束流轮廓剂量分析的IP。

方法和材料

在本研究中,基于导数的数学第一原理,通过Python代码编程确定IP。将其与使用Microsoft Excel(MS)通过传统图形手动方法估计的IP进行比较。比较通过数学方法和图形手动方法确定的IP及其相关的剂量学参数。

结果

发现两种方法确定的6MV FFF直线束和交叉线束轮廓的IP之间的百分比差异分别为2.7%和0.8%。同样,6MV FFF直线束和交叉线束轮廓的平均半值层差异分别为0.15mm和0.9mm。然而,发现两种方法在射野宽度上的差异不显著。

结论

图形手动方法非常耗时、繁琐且依赖用户。然而,通过Python代码编程的数学方法更精确、更快且独立于个体用户。

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