Shortall Jane, Vasquez Osorio Eliana, Green Andrew, McWilliam Alan, Elumalai Thriaviyam, Reeves Kimberley, Johnson-Hart Corinne, Beasley William, Hoskin Peter, Choudhury Ananya, van Herk Marcel
Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom.
Front Oncol. 2023 Jun 15;13:1200676. doi: 10.3389/fonc.2023.1200676. eCollection 2023.
One in three high-risk prostate cancer patients treated with radiotherapy recur. Detection of lymph node metastasis and microscopic disease spread using conventional imaging is poor, and many patients are under-treated due to suboptimal seminal vesicle or lymph node irradiation. We use Image Based Data Mining (IBDM) to investigate association between dose distributions, and prognostic variables and biochemical recurrence (BCR) in prostate cancer patients treated with radiotherapy. We further test whether including dose information in risk-stratification models improves performance.
Planning CTs, dose distributions and clinical information were collected for 612 high-risk prostate cancer patients treated with conformal hypo-fractionated radiotherapy, intensity modulated radiotherapy (IMRT), or IMRT plus a single fraction high dose rate (HDR) brachytherapy boost. Dose distributions (including HDR boost) of all studied patients were mapped to a reference anatomy using the prostate delineations. Regions where dose distributions significantly differed between patients that did and did-not experience BCR were assessed voxel-wise using 1) a binary endpoint of BCR at four-years (dose only) and 2) Cox-IBDM (dose and prognostic variables). Regions where dose was associated with outcome were identified. Cox proportional-hazard models with and without region dose information were produced and the Akaike Information Criterion (AIC) was used to assess model performance.
No significant regions were observed for patients treated with hypo-fractionated radiotherapy or IMRT. Regions outside the target where higher dose was associated with lower BCR were observed for patients treated with brachytherapy boost. Cox-IBDM revealed that dose response was influenced by age and T-stage. A region at the seminal vesicle tips was identified in binary- and Cox-IBDM. Including the mean dose in this region in a risk-stratification model (hazard ratio=0.84, p=0.005) significantly reduced AIC values (p=0.019), indicating superior performance, compared with prognostic variables only. The region dose was lower in the brachytherapy boost patients compared with the external beam cohorts supporting the occurrence of marginal misses.
Association was identified between BCR and dose outside of the target region in high-risk prostate cancer patients treated with IMRT plus brachytherapy boost. We show, for the first-time, that the importance of irradiating this region is linked to prognostic variables.
接受放射治疗的高危前列腺癌患者中有三分之一会复发。使用传统成像检测淋巴结转移和微观疾病扩散效果不佳,许多患者因精囊或淋巴结照射不理想而治疗不足。我们使用基于图像的数据挖掘(IBDM)来研究剂量分布、预后变量与接受放射治疗的前列腺癌患者生化复发(BCR)之间的关联。我们进一步测试在风险分层模型中纳入剂量信息是否能提高模型性能。
收集了612例接受适形低分割放射治疗、调强放射治疗(IMRT)或IMRT加单次高剂量率(HDR)近距离放疗增敏的高危前列腺癌患者的计划CT、剂量分布和临床信息。使用前列腺轮廓将所有研究患者的剂量分布(包括HDR增敏)映射到参考解剖结构。使用1)四年时BCR的二元终点(仅剂量)和2)Cox-IBDM(剂量和预后变量),逐体素评估有和没有经历BCR的患者之间剂量分布有显著差异的区域。确定剂量与结局相关的区域。生成有和没有区域剂量信息的Cox比例风险模型,并使用赤池信息准则(AIC)评估模型性能。
接受低分割放射治疗或IMRT治疗的患者未观察到显著区域。接受近距离放疗增敏治疗的患者在靶区外观察到较高剂量与较低BCR相关的区域。Cox-IBDM显示剂量反应受年龄和T分期影响。在二元和Cox-IBDM中均识别出精囊尖端的一个区域。在风险分层模型中纳入该区域的平均剂量(风险比=0.84,p=0.005)显著降低了AIC值(p=0.019),表明与仅使用预后变量相比性能更优。与外照射队列相比,近距离放疗增敏患者的该区域剂量较低,这支持了边缘遗漏的发生。
在接受IMRT加近距离放疗增敏的高危前列腺癌患者中,识别出BCR与靶区外剂量之间存在关联。我们首次表明照射该区域的重要性与预后变量相关。