对永久植入式前列腺近距离放射治疗的蒙特卡洛剂量分布进行哈拉利克纹理特征分析

Iymad R. Mansour, Nelson Miksys, Luc Beaulieu, Eric Vigneault, Rowan M. Thomson
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引用次数: 0

摘要

目的:利用哈拉利克纹理分析展示三维患者特异性吸收剂量分布的定量特征,并从基础物理学和辐射剂量学角度解释测量结果。方法:使用两种模拟条件对 137 名接受永久植入式前列腺近距离放射治疗的患者进行回顾性分析:TG186"(现实组织,包括 0-3.8% 的前列腺内钙化;种间衰减)和 "TG43"(水模型;无种间衰减)。哈拉利克特征(同质性、对比度、相关性、局部同质性、熵)是使用原始哈拉利克形式主义和为降低灰度级量化敏感性而设计的改进方法计算得出的。将纹理特征的变化趋势与临床剂量测量(D90;最热 90% 体积的最小吸收剂量)和患者目标体积的变化(按体积计算的前列腺钙化百分比(%IC))进行比较。结果:原始和修改后的测量方法都能量化吸收剂量分布的空间差异。在 TG43 和 TG186 条件下计算的纹理测量值的差异与所有测量值的钙化率之间都有很强的相关性。例如,对比度和相关性测量值之间的差异分别随着评估 %IC 水平较高的患者而增大和减小,这反映了在 TG186 条件下计算的相邻体素之间的巨大差异(钙化体素的剂量较高)。相反,D90 指标与纹理测量值之间的相关性相对较弱,因为它通常不能描述吸收剂量的空间分布。结论:患者特异性三维剂量分布可通过哈拉利克分析进行量化,其趋势可从基本物理学角度进行解释。
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Haralick texture feature analysis for Monte Carlo dose distributions of permanent implant prostate brachytherapy
Purpose: Demonstrate quantitative characterization of 3D patient-specific absorbed dose distributions using Haralick texture analysis and interpret measures in terms of underlying physics and radiation dosimetry. Methods: Retrospective analysis is performed for 137 patients who underwent permanent implant prostate brachytherapy using two simulation conditions: ``TG186'' (realistic tissues including 0-3.8% intraprostatic calcifications; interseed attenuation) and ``TG43'' (water-model; no interseed attenuation). Haralick features (homogeneity, contrast, correlation, local homogeneity, entropy) are calculated using the original Haralick formalism, and a modified approach designed to reduce grey-level quantization sensitivity. Trends in textural features are compared to clinical dosimetric measures (D90; minimum absorbed dose to the hottest 90% of a volume) and changes in patient target volume % intraprostatic calcifications by volume (%IC). Results: Both original and modified measures quantify the spatial differences in absorbed dose distributions. Strong correlations between differences in textural measures calculated under TG43 and TG186 conditions and %IC are observed for all measures. For example, differences between measures of contrast and correlation increase and decrease respectively as patients with higher levels of %IC are evaluated, reflecting the large differences across adjacent voxels (higher dose in voxels with calcification) when calculated under TG186 conditions. Conversely, the D90 metric is relatively weakly correlated with textural measures, as it generally does not characterize the spatial distribution of absorbed dose. Conclusion: patient-specific 3D dose distributions may be quantified using Haralick analysis, and trends may be interpreted in terms of fundamental physics.
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