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关于肿瘤子体积中的冷区。

On cold spots in tumor subvolumes.

作者信息

Tomé Wolfgang A, Fowler Jack F

机构信息

Department of Human Oncology, University of Wisconsin Medical School, CSC, Madison 53792, USA.

出版信息

Med Phys. 2002 Jul;29(7):1590-8. doi: 10.1118/1.1485060.

Abstract

Losses in tumor control are estimated for cold spots of various "sizes" and degrees of "cold dose." This question is important in the context of intensity modulated radiotherapy where differential dose-volume histograms (DVHs) for targets that abut a critical structure often exhibit a cold dose tail. This can be detrimental to tumor control probability (TCP) for fractions of cold volumes even as small as 1%, if the cold dose is lower than the prescribed dose by substantially more than 10%. The Niemierko-Goitein linear-quadratic algorithm with gamma50 slope 1-3 was used to study the effect of cold spots of various degrees (dose deficit below the prescription dose) and size (fractional volume of the cold dose). A two-bin model DVH has been constructed in which the cold dose bin is allowed to vary from a dose deficit of 1%-50% below prescription dose and to have volumes varying from 1% to 90%. In order to study and quantify the effect of a small volume of cold dose on TCP and effective uniform dose (EUD), a four-bin DVH model has been constructed in which the lowest dose bin, which has a fractional volume of 1%, is allowed to vary from 10% to 45% dose deficit below prescription dose. The highest dose bin represents a simultaneous boost. For fixed size of the cold spot the calculated values of TCP decreased rapidly with increasing degrees of cold dose for any size of the cold spot, even as small as 1% fractional volume. For the four-subvolume model, in which the highest dose bin has a fractional volume of 80% and is set at a boost dose of 10% above prescription dose, it is found that the loss in TCP and EUD is moderate as long as the cold 1% subvolume has a deficit less than approximately 20%. However, as the dose deficit in the 1% subvolume bin increases further it drives TCP and EUD rapidly down and can lead to a serious loss in TCP and EUD. Since a dose deficit to a 1% volume of the target that is larger than 20% of the prescription dose may lead to serious loss of TCP, even if 80% of the target receives a 10% boost, particular attention has to be paid to small-volume cold regions in the target. The effect of cold regions on TCP can be minimized if the EUD associated with the target DVH is constrained to be equal to or larger than the prescription dose.

摘要

针对不同“大小”和“冷剂量”程度的冷区,估算了肿瘤控制方面的损失。在调强放射治疗的背景下,这个问题很重要,因为毗邻关键结构的靶区的剂量体积直方图(DVH)通常会呈现冷剂量尾。如果冷剂量比处方剂量低超过10%,那么即使冷区体积小至1%,也可能对肿瘤控制概率(TCP)产生不利影响。采用斜率为1 - 3的Niemierko - Goitein线性二次算法,研究不同程度(低于处方剂量的剂量亏缺)和大小(冷剂量的分数体积)的冷区的影响。构建了一个双区模型DVH,其中冷剂量区的剂量亏缺允许在低于处方剂量的1% - 50%之间变化,体积在1%到90%之间变化。为了研究和量化小体积冷剂量对TCP和有效均匀剂量(EUD)的影响,构建了一个四区DVH模型,其中分数体积为1%的最低剂量区的剂量亏缺允许在低于处方剂量的10%到45%之间变化。最高剂量区代表同步增敏。对于固定大小的冷区,对于任何大小的冷区,即使分数体积小至1%,计算得到的TCP值也会随着冷剂量程度的增加而迅速下降。对于最高剂量区分数体积为80%且设置为高于处方剂量10%的增敏剂量的四区模型,发现只要1%的冷区体积的剂量亏缺小于约20%,TCP和EUD的损失就适中。然而,随着1%区的剂量亏缺进一步增加,它会使TCP和EUD迅速下降,并可能导致TCP和EUD严重损失。由于靶区1%体积的剂量亏缺大于处方剂量的20%可能导致TCP严重损失,即使80%的靶区接受10%的增敏,也必须特别关注靶区内的小体积冷区。如果将与靶区DVH相关的EUD限制为等于或大于处方剂量,冷区对TCP的影响可以最小化。

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