Quantifying the spatial distribution of the accumulated dose uncertainty using the novel delta index.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Madelon van den Dobbelsteen, Sara L Hackett, Lando S Bosma, Renate J A van Doormaal, Bram van Asselen, Martin F Fast
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引用次数: 0

Abstract

Objective.Inter- and intra-fractional anatomical changes during a radiotherapy treatment can cause differences between the initially planned dose and the delivered dose. The total delivered dose can be accumulated over all fractions by using deformable image registration (DIR). However, there is uncertainty in this process which should be accounted for. The aim of this study is to propose a novel metric estimating the spatial distribution of the accumulated dose uncertainty and to evaluate its performance for multi-fraction online adaptive treatments.Approach.We postulate a new metric, the delta (δ) index, to estimate the uncertainties associated with the dose accumulation process. This metric is calculated for each voxel and takes into account the spatial uncertainty in DIR and local dose differences. For the spatial uncertainty of the DIR, the distance discordance metric was used. The accumulated dose and theδindex were determined for ten lung stereotactic body radiation therapy patients. Theδindex was complemented by a more understandable metric, theδindex passing rate, which is the percentage of points satisfying the passing criteria in a region.Main results.The spatial distribution of theδindex and theδindex passing rates showed that voxels failing the criteria were predominantly in lower-dose regions. The mean percentage of voxels passing the criterion increased from 65% to 78%, for threshold doses of 20% and 90% of the prescription doses, respectively.Significance.Theδindex was postulated to quantify the spatial distribution of the uncertainties associated with the dose accumulation process. The metric gives an intuitive understanding of the reliability of accumulated dose distributions and derived DVH metrics. The performance of theδindex was evaluated for multi-fraction online adaptive treatments, where a case of sub-optimal image registration was identified by the metric.

用新的δ指数量化累积剂量不确定度的空间分布。
目的:在放射治疗过程中,分数阶内和分数阶内的解剖改变可导致初始计划剂量与实际剂量之间的差异。通过使用可变形图像配准(DIR),可以累积所有部分的总剂量。然而,这一过程中存在着不确定性,应该加以考虑。本研究的目的是提出一种新的度量来估计累积剂量不确定性的空间分布,并评估其在多组分在线自适应处理中的性能。方法:我们假设一个新的度量,即δ (δ)指数,来估计与剂量积累过程相关的不确定性。该度量为每个体素计算,并考虑到DIR和局部剂量差异的空间不确定性。对于DIR的空间不确定性,采用距离不一致度量(DDM)。测定了10例肺立体定向全身放射治疗(SBRT)患者的累积剂量和δ指数。δ指数是一个更容易理解的指标,即δ指数通过率,它是一个地区满足及格标准的百分比。主要结果:δ指数和δ指数通过率的空间分布表明,不达标体素主要集中在低剂量区。当阈值剂量分别为处方剂量的20%和90%时,通过标准的体素的平均百分比从65%增加到78%。意义:假设δ指数用于量化与剂量积累过程相关的不确定性的空间分布。该度量给出了累积剂量分布和衍生DVH度量的可靠性的直观理解。对多分数在线自适应处理的δ指数的性能进行了评估,其中通过度量识别了次优图像配准的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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