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前列腺癌对高剂量率近距离放射治疗反应的放射生物学荟萃分析:极端超分割放疗中控制率降低的研究。

Radiobiological Meta-Analysis of the Response of Prostate Cancer to High-Dose-Rate Brachytherapy: Investigation of the Reduction in Control for Extreme Hypofractionation.

作者信息

Kölmel Eva G, Pombar Miguel, Pardo-Montero Juan

机构信息

Group of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain.

Department of Medical Physics, Complexo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain.

出版信息

Cancers (Basel). 2025 Apr 16;17(8):1338. doi: 10.3390/cancers17081338.

Abstract

BACKGROUND/OBJECTIVES: Clinical studies have shown a marked reduction in tumor control in prostate cancer treated with radically hypofractionated high-dose-rate brachytherapy (HDR-BT). The purpose of this study was to analyze the dose-response of prostate cancer treated with HDR-BT, specifically aiming at investigating the potential failure of the linear-quadratic (LQ) model to describe the response at large doses-per-fraction.

METHODS

We collated a dataset of dose-response to HDR-BT (3239 patients). The analysis was conducted separately for low and intermediate risk, resulting in 21 schedules (1633 patients) and 23 schedules (1606 patients), respectively. Data were fitted to tumor control probability models based on the LQ model, the linear-quadratic-linear (LQL), and a modification of the LQ model to include the effect of reoxygenation during treatment.

RESULTS

The LQ cannot fit the data unless the α/β is allowed to be high (∼[20, >100] Gy, 95% confidence interval). If the α/β is constrained to be low (≤8 Gy), the LQ model cannot reproduce the clinical results, and the LQL model, which includes a moderation of radiation damage with increasing dose, significantly improves the fitting. On the other hand, the reoxygenation model does not match the results obtained with the LQL. The clinically observed reduction in tumor control in prostate cancer treated with radical HDR-BT is better described by the LQL model. Using the best-fitting parameters, the BED for a 20 Gy × 1 treatment (128 Gyα/β) is far less than that of a conventional 2 Gy × 37 fractionation (196 Gyα/β).

CONCLUSIONS

Our analysis showed that the substantial loss of tumor control observed in extremely hypofractionated HDR-BT trials can only be explained by the LQ model if the α/β is very large (≥100 Gy), in clear disagreement with the limits set in the analysis of external radiotherapy data. It seems more reasonable that there is a moderation of the LQ-predicted effect with increasing dose per fraction. These results may assist in the design of radical HDR-BT treatments.

摘要

背景/目的:临床研究表明,在接受根治性大分割高剂量率近距离放疗(HDR-BT)的前列腺癌患者中,肿瘤控制率显著降低。本研究的目的是分析接受HDR-BT治疗的前列腺癌的剂量反应,特别旨在研究线性二次(LQ)模型在描述大分次剂量反应时的潜在失效情况。

方法

我们整理了一个HDR-BT剂量反应数据集(3239例患者)。对低风险和中风险患者分别进行分析,分别得到21个治疗方案(1633例患者)和23个治疗方案(1606例患者)。数据拟合基于LQ模型、线性-二次-线性(LQL)模型以及包含治疗期间再氧合作用影响的LQ模型修正版的肿瘤控制概率模型。

结果

除非允许α/β值较高(约[20, >100] Gy,95%置信区间),否则LQ模型无法拟合数据。如果将α/β值限制为较低(≤8 Gy),LQ模型无法重现临床结果,而包含随着剂量增加辐射损伤适度降低的LQL模型能显著改善拟合效果。另一方面,再氧合模型与LQL模型得到的结果不匹配。LQL模型能更好地描述根治性HDR-BT治疗前列腺癌时临床上观察到的肿瘤控制率降低情况。使用最佳拟合参数,20 Gy×1次治疗的生物等效剂量(BED为128 Gyα/β)远低于传统的2 Gy×37次分割治疗(196 Gyα/β)。

结论

我们的分析表明,在极度大分割HDR-BT试验中观察到的肿瘤控制率大幅下降,只有当α/β非常大(≥100 Gy)时,LQ模型才能解释,这与外照射放疗数据分析中设定的限值明显不符。随着分次剂量增加,LQ模型预测的效应适度降低似乎更合理。这些结果可能有助于根治性HDR-BT治疗方案的设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c55e/12025418/84728e03ce10/cancers-17-01338-g001.jpg

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