[177Lu]Lu-DOTATATE肽受体放射性核素治疗的多周期剂量学行为和剂量效应关系

Gunjan Kayal, Molly E. Roseland, Chang Wang, Kellen Fitzpatrick, David Mirando, Krithika Suresh, Ka Kit Wong, Yuni K. Dewaraja
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引用次数: 0

摘要

我们研究了[177Lu]Lu-DOTATATE肽受体放射性核素治疗(PRRT)转移性神经内分泌肿瘤(NETs)的药代动力学、剂量学模式和吸收剂量(AD)效应相关性,以制定未来个性化剂量学指导治疗的策略。方法:招募接受标准[177Lu]Lu-DOTATATE PRRT治疗的患者进行串行SPECT/CT成像。在CT上使用深度学习算法对肾脏进行分割,在基线CT/MRI上由放射科医生定义的轮廓指导下,使用基于SPECT梯度的工具在每个周期对肿瘤进行分割。剂量测定采用自动化工作流程,包括基于轮廓强度的SPECT-SPECT配准、生成蒙特卡罗剂量率图和剂量率拟合。在第一次随访时,采用放射学(RECIST和改进的RECIST)和[68Ga]Ga-DOTATATE pet为基础的标准评估病变水平的反应。根据PRRT后9个月肾小球滤过率(eGFR)评估肾毒性。结果:30例患者在第1周期后进行剂量测定,30例患者中22例在每个周期后完成SPECT/CT成像,在所有周期后进行剂量测定。累积性肿瘤(n = 78)中位AD为2.2 Gy/GBq(范围0.1-20.8 Gy/GBq),而肾脏AD中位为0.44 Gy/GBq(范围0.25-0.96 Gy/GBq)。由于肿瘤AD的减少,肿瘤与肾脏AD的比值随着周期的增加而下降(1-4周期的中位数分别为6.4、5.7、4.7和3.9),而肾脏AD保持相对稳定。与低级别(1级)和小肠NETs相比,高级别(2级)和胰腺NETs在每个周期中AD的下降幅度明显更大,AD和有效半衰期(Teff)也明显更低。肿瘤和肾脏的Teff在每个周期中都保持相对恒定。低eGFR患者的肾Teff和AD明显高于高eGFR患者。肿瘤AD与反应措施无显著相关。没有高于2级的肾毒性;然而,在单变量分析中发现,9个月时的eGFR与AD对肾脏的影响呈显著负相关,这在多变量模型中得到改善,该模型也调整了基线eGFR(第1周期AD, P = 0.020,调整R2 = 0.57;累积AD, P = 0.049,调整后R2 = 0.65)。单因素分析和基线eGFR调整后,eGFR百分比变化与肾脏AD之间的关联也很显著(第1周期AD, P = 0.006,调整后R2 = 0.21;累积AD, P = 0.019,调整后R2 = 0.21)。结论:在针对个别患者优化PRRT时,我们报告的不同周期和不同NET亚组的剂量学行为可以考虑。我们提出的eGFR和AD之间关系的模型在早期治疗过程中预测肾功能方面具有潜在的临床应用价值。此外,报告的患者亚组药代动力学允许在较少成像时间点的方案中更适当地选择群体参数,从而促进更广泛地采用剂量学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multicycle Dosimetric Behavior and Dose–Effect Relationships in [177Lu]Lu-DOTATATE Peptide Receptor Radionuclide Therapy

We investigated pharmacokinetics, dosimetric patterns, and absorbed dose (AD)–effect correlations in [177Lu]Lu-DOTATATE peptide receptor radionuclide therapy (PRRT) for metastatic neuroendocrine tumors (NETs) to develop strategies for future personalized dosimetry-guided treatments. Methods: Patients treated with standard [177Lu]Lu-DOTATATE PRRT were recruited for serial SPECT/CT imaging. Kidneys were segmented on CT using a deep learning algorithm, and tumors were segmented at each cycle using a SPECT gradient-based tool, guided by radiologist-defined contours on baseline CT/MRI. Dosimetry was performed using an automated workflow that included contour intensity–based SPECT-SPECT registration, generation of Monte Carlo dose-rate maps, and dose-rate fitting. Lesion-level response at first follow-up was evaluated using both radiologic (RECIST and modified RECIST) and [68Ga]Ga-DOTATATE PET-based criteria. Kidney toxicity was evaluated based on the estimated glomerular filtration rate (eGFR) at 9 mo after PRRT. Results: Dosimetry was performed after cycle 1 in 30 patients and after all cycles in 22 of 30 patients who completed SPECT/CT imaging after each cycle. Median cumulative tumor (n = 78) AD was 2.2 Gy/GBq (range, 0.1–20.8 Gy/GBq), whereas median kidney AD was 0.44 Gy/GBq (range, 0.25–0.96 Gy/GBq). The tumor-to-kidney AD ratio decreased with each cycle (median, 6.4, 5.7, 4.7, and 3.9 for cycles 1–4) because of a decrease in tumor AD, while kidney AD remained relatively constant. Higher-grade (grade 2) and pancreatic NETs showed a significantly larger drop in AD with each cycle, as well as significantly lower AD and effective half-life (Teff), than did low-grade (grade 1) and small intestinal NETs, respectively. Teff remained relatively constant with each cycle for both tumors and kidneys. Kidney Teff and AD were significantly higher in patients with low eGFR than in those with high eGFR. Tumor AD was not significantly associated with response measures. There was no nephrotoxicity higher than grade 2; however, a significant negative association was found in univariate analyses between eGFR at 9 mo and AD to the kidney, which improved in a multivariable model that also adjusted for baseline eGFR (cycle 1 AD, P = 0.020, adjusted R2 = 0.57; cumulative AD, P = 0.049, adjusted R2 = 0.65). The association between percentage change in eGFR and AD to the kidney was also significant in univariate analysis and after adjusting for baseline eGFR (cycle 1 AD, P = 0.006, adjusted R2 = 0.21; cumulative AD, P = 0.019, adjusted R2 = 0.21). Conclusion: The dosimetric behavior we report over different cycles and for different NET subgroups can be considered when optimizing PRRT to individual patients. The models we present for the relationship between eGFR and AD have potential for clinical use in predicting renal function early in the treatment course. Furthermore, reported pharmacokinetics for patient subgroups allow more appropriate selection of population parameters to be used in protocols with fewer imaging time points that facilitate more widespread adoption of dosimetry.

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