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分疗程放疗期间自发性犬肿瘤的 DCEMRI:药代动力学分析。

DCEMRI of spontaneous canine tumors during fractionated radiotherapy: a pharmacokinetic analysis.

机构信息

Department of Radiation Biology, Oslo University Hospital, Oslo, Norway.

出版信息

Radiother Oncol. 2009 Dec;93(3):618-24. doi: 10.1016/j.radonc.2009.08.012. Epub 2009 Sep 9.

Abstract

PURPOSE

To estimate pharmacokinetic parameters from dynamic contrast-enhanced magnetic resonance (DCEMR) images of spontaneous canine tumors taken during the course of fractionated radiotherapy, and to quantify treatment-induced changes in these parameters.

MATERIALS AND METHODS

Six dogs with tumors in the oral or nasal cavity received fractionated conformal radiotherapy with 54 Gy given in 18 fractions. T(1)-weighted DCEMR imaging was performed prior to each treatment fraction. Time-intensity curves in the tumor were extracted voxel-by-voxel, and were fitted to the Brix pharmacokinetic model. The dependence of the pharmacokinetic parameters on the accumulated radiation dose was calculated.

RESULTS

The Brix model reproduced the time-intensity curves well. A reduction in the k(ep) parameter with accumulated radiation dose was found for five (three significant) out of six cases, while the results for the A parameter were less consistent. Both pre-treatment k(ep) and the change in k(ep) with accumulated dose correlated significantly with tumor regression.

CONCLUSIONS

Pharmacokinetic parameters derived from DCEMR images taken during fractionated radiotherapy may predict response to radiotherapy. This may potentially impact on patient stratification and monitoring of treatment response for image-guided treatment strategies.

摘要

目的

从分次放射治疗过程中采集的自发性犬肿瘤的动态对比增强磁共振(DCEMR)图像中估算药代动力学参数,并定量分析这些参数的治疗诱导变化。

材料与方法

6 只口腔或鼻腔内有肿瘤的犬接受了 54 Gy 的分次适形放疗,共 18 个分次。在每次治疗前都进行 T1 加权 DCEMR 成像。在肿瘤中逐像素提取时间-强度曲线,并拟合到 Brix 药代动力学模型中。计算药代动力学参数与累积辐射剂量的依赖性。

结果

Brix 模型很好地再现了时间-强度曲线。在六个病例中,有五个(三个有统计学意义)观察到 k(ep)参数随累积剂量的减少而降低,而 A 参数的结果则不太一致。治疗前的 k(ep)和 k(ep)随累积剂量的变化与肿瘤消退显著相关。

结论

从分次放射治疗过程中采集的 DCEMR 图像中提取的药代动力学参数可能可以预测对放射治疗的反应。这可能会对图像引导治疗策略中的患者分层和治疗反应监测产生影响。

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