评估了用于检测螺旋断层放射治疗计划剂量分布差异的剂量组学特征（DF）和剂量体积直方图（DVH）参数的稳定性。使用以下参数重新计算 18 名前列腺患者的治疗计划：视场宽度 (WF)（2.5 比 5）、间距因子 (PF)（0.433 比 0.444）和调制因子（MF）（2.5 比 3）。使用 3D-Slicer 软件，从每位患者的八个计划中的每一个中提取了 93 个原始 DF 和 744 个基于小波的 DF，跨越六个区域，包括：目标体积 (PTV)、盆腔淋巴结 (PTV-LN)、PTV   PTV -LN (PTV-All)，PTV-All (PTV-Ring)、直肠和膀胱周围一厘米外皮。对于生成的 DF 和 DVH 参数，计算变异系数 (CV)，并使用层次聚类将特征分类为低/高变异性。通过三向方差分析来分析参数对不稳定性的显着性。所有 DF 在 PTV、PTV-LN 和 PTV-Ring 中均稳定（平均 CV ( CV ) ≤ 0.36）。由于膀胱中的 MF 和 PTV-All 中的 WF 发生变化，只有膀胱 (CV ̅ = 0.9)、直肠 (CV ̅ = 0.4) 和 PTV-All (CV ̅ = 0.37) 中的一项特征被认为不稳定。小波特征的 CV 值远高于原始特征的 CV 值。在 225 个不稳定小波特征中，84 个特征的 CV ≥ 1。所有 DVH 的 CV 仍然非常小 ( CV < 0.06)。这项研究强调，DF 对断层放射治疗计划参数变化的敏感性受到区域和 DF（尤其是小波特征）的影响，超过了 DVH 的有效性。© 2024。澳大利亚物理科学家和医学工程师学院。

The stability of dosiomics features (DFs) and dose-volume histogram (DVH) parameters for detecting disparities in helical tomotherapy planned dose distributions was assessed. Treatment plans of 18 prostate patients were recalculated using the followings: field width (WF) (2.5 vs. 5), pitch factor (PF) (0.433 vs. 0.444), and modulation factor (MF) (2.5 vs. 3). From each of the eight plans per patient, ninety-three original and 744 wavelet-based DFs were extracted, using 3D-Slicer software, across six regions including: target volume (PTV), pelvic lymph nodes (PTV-LN), PTV + PTV-LN (PTV-All), one cm rind around PTV-All (PTV-Ring), rectum, and bladder. For the resulting DFs and DVH parameters, the coefficient of variation (CV) was calculated, and using hierarchical clustering, the features were classified into low/high variability. The significance of parameters on instability was analyzed by a three-way analysis of variance. All DF's were stable in PTV, PTV-LN, and PTV-Ring (average CV ( CV ¯ )  ≤ 0.36). Only one feature in the bladder ( CV ¯  = 0.9), rectum ( CV ¯  = 0.4), and PTV-All ( CV ¯  = 0.37) were considered unstable due to change in MF in the bladder and WF in the PTV-All. The value of CV ¯ for the wavelet features was much higher than that for the original features. Out of 225 unstable wavelet features, 84 features had CV ¯  ≥ 1. The CVs for all the DVHs remained very small ( CV ¯ < 0.06). This study highlights that the sensitivity of DFs to changes in tomotherapy planning parameters is influenced by the region and the DFs, particularly wavelet features, surpassing the effectiveness of DVHs.© 2024. Australasian College of Physical Scientists and Engineers in Medicine.