分次间误差对剂量学特征的影响。

Impact of Interfractional Error on Dosiomic Features.

作者信息

Puttanawarut Chanon, Sirirutbunkajorn Nat, Tawong Narisara, Khachonkham Suphalak, Pattaranutaporn Poompis, Wongsawat Yodchanan

机构信息

Chakri Naruebodindra Medical Institute, Ramathibodi Hospital, Mahidol University, Samutprakarn, Thailand.

Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhorn Pathom, Thailand.

出版信息

Front Oncol. 2022 Jun 10;12:726896. doi: 10.3389/fonc.2022.726896. eCollection 2022.

DOI:10.3389/fonc.2022.726896

PMID:35756677

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9231355/

Abstract

OBJECTIVES

The purpose of this study was to investigate the stability of dosiomic features under random interfractional error. We investigated the differences in the values of features with different fractions and the error in the values of dosiomic features under interfractional error.

MATERIAL AND METHODS

The isocenters of the treatment plans of 15 lung cancer patients were translated by a maximum of ±3 mm in each axis with a mean of (0, 0, 0) and a standard deviation of (1.2, 1.2, 1.2) mm in the x, y, and z directions for each fraction. A total of 81 dose distributions for each patient were then calculated considering four fraction number groups (2, 10, 20, and 30). A total of 93 dosiomic features were extracted from each dose distribution in four different regions of interest (ROIs): gross tumor volume (GTV), planning target volume (PTV), heart, and both lungs. The stability of dosiomic features was analyzed for each fraction number group by the coefficient of variation (CV) and intraclass correlation coefficient (ICC). The agreements in the means of dosiomic features among the four fraction number groups were tested by ICC. The percent differences (PD) between the dosiomic features extracted from the original dose distribution and the dosiomic features extracted from the dose distribution with interfractional error were calculated.

RESULTS

Eleven out of 93 dosiomic features demonstrated a large CV (CV ≥ 20%). Overall CV values were highest in GTV ROIs and lowest in lung ROIs. The stability of dosiomic features decreased as the total number of fractions decreased. The ICC results showed that five out of 93 dosiomic features had an ICC lower than 0.75, which indicates intermediate or poor stability under interfractional error. The mean dosiomic feature values were shown to be consistent with different numbers of fractions (ICC ≥ 0.9). Some of the dosiomic features had PD greater than 50% and showed different PD values with different numbers of fractions.

CONCLUSION

Some dosiomic features have low stability under interfractional error. The stability and values of the dosiomic features were affected by the total number of fractions. The effect of interfractional error on dosiomic features should be considered in further studies regarding dosiomics for reproducible results.

摘要

目的

本研究旨在调查剂量学特征在随机分次间误差下的稳定性。我们研究了不同分次情况下特征值的差异以及分次间误差下剂量学特征值的误差。

材料与方法

15例肺癌患者治疗计划的等中心在每个轴向上最多平移±3mm，每个分次在x、y和z方向上的均值为(0, 0, 0)，标准差为(1.2, 1.2, 1.2)mm。然后考虑四个分次数量组（2、10、20和30），为每位患者计算总共81种剂量分布。从四个不同的感兴趣区域（ROI）中的每种剂量分布中提取总共93个剂量学特征：大体肿瘤体积（GTV）、计划靶体积（PTV）、心脏和双肺。通过变异系数（CV）和组内相关系数（ICC）分析每个分次数量组剂量学特征的稳定性。通过ICC检验四个分次数量组之间剂量学特征均值的一致性。计算从原始剂量分布中提取的剂量学特征与从存在分次间误差的剂量分布中提取的剂量学特征之间的百分比差异（PD）。

结果

93个剂量学特征中有11个表现出较大的CV（CV≥20%）。总体CV值在GTV ROI中最高，在肺ROI中最低。剂量学特征的稳定性随着总分次数量的减少而降低。ICC结果显示，93个剂量学特征中有5个的ICC低于0.75，这表明在分次间误差下稳定性中等或较差。剂量学特征的平均值得以显示与不同的分次数量一致（ICC≥0.9）。一些剂量学特征的PD大于50%，并且在不同的分次数量下显示出不同的PD值。