Kayal Gunjan, Roseland Molly E, Wang Chang, Fitzpatrick Kellen, Mirando David, Suresh Krithika, Wong Ka Kit, Dewaraja Yuni K
Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan.
Departments of Biostatistics and Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and.
J Nucl Med. 2025 Jun 2;66(6):900-908. doi: 10.2967/jnumed.124.269389.
We investigated pharmacokinetics, dosimetric patterns, and absorbed dose (AD)-effect correlations in [Lu]Lu-DOTATATE peptide receptor radionuclide therapy (PRRT) for metastatic neuroendocrine tumors (NETs) to develop strategies for future personalized dosimetry-guided treatments. Patients treated with standard [Lu]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 [Ga]Ga-DOTATATE PET-based criteria. Kidney toxicity was evaluated based on the estimated glomerular filtration rate (eGFR) at 9 mo after PRRT. 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 ( = 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 (T), than did low-grade (grade 1) and small intestinal NETs, respectively. T remained relatively constant with each cycle for both tumors and kidneys. Kidney T 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, = 0.020, adjusted = 0.57; cumulative AD, = 0.049, adjusted = 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, = 0.006, adjusted = 0.21; cumulative AD, = 0.019, adjusted = 0.21). 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.
我们研究了[镥]镥-奥曲肽肽受体放射性核素治疗(PRRT)用于转移性神经内分泌肿瘤(NETs)时的药代动力学、剂量学模式及吸收剂量(AD)-效应相关性,以制定未来个性化剂量学引导治疗的策略。招募接受标准[镥]镥-奥曲肽PRRT治疗的患者进行系列SPECT/CT成像。使用深度学习算法在CT上对肾脏进行分割,在每个周期使用基于SPECT梯度的工具对肿瘤进行分割,以放射科医生在基线CT/MRI上定义的轮廓为指导。使用自动化工作流程进行剂量学分析,该流程包括基于轮廓强度的SPECT-SPECT配准、蒙特卡罗剂量率图的生成以及剂量率拟合。首次随访时的病灶水平反应使用放射学标准(RECIST和改良RECIST)以及基于[镓]镓-奥曲肽PET的标准进行评估。基于PRRT后9个月时估计的肾小球滤过率(eGFR)评估肾脏毒性。30例患者在第1周期后进行剂量学分析,30例完成各周期SPECT/CT成像的患者中有22例在所有周期后进行剂量学分析。肿瘤累积AD中位数(n = 78)为2.2 Gy/GBq(范围,0.1 - 20.8 Gy/GBq),而肾脏AD中位数为0.44 Gy/GBq(范围,0.25 - 0.96 Gy/GBq)。由于肿瘤AD降低,肿瘤与肾脏的AD比值随每个周期下降(第1 - 4周期中位数分别为6.4、5.7、4.7和3.9),而肾脏AD保持相对稳定。高级别(2级)和胰腺NETs每个周期的AD下降幅度显著更大,且AD和有效半衰期(T)分别显著低于低级别(1级)和小肠NETs。肿瘤和肾脏的T在每个周期均保持相对稳定。eGFR低的患者肾脏T和AD显著高于eGFR高的患者。肿瘤AD与反应指标无显著相关性。未发现高于2级的肾毒性;然而,单因素分析发现9个月时的eGFR与肾脏AD之间存在显著负相关,在同时调整基线eGFR的多变量模型中这种相关性有所改善(第1周期AD,P = 0.020,调整后P = 0.57;累积AD,P = 0.049,调整后P = 0.65)。eGFR变化百分比与肾脏AD之间的相关性在单因素分析及调整基线eGFR后也具有显著性(第1周期AD,P = 0.006,调整后P = 0.21;累积AD,P = 0.019,调整后P = 0.21)。在为个体患者优化PRRT时,可考虑我们报告的不同周期及不同NET亚组的剂量学行为。我们提出的eGFR与AD之间关系的模型在治疗过程早期预测肾功能方面具有临床应用潜力。此外,报告的患者亚组药代动力学情况有助于在成像时间点较少的方案中更合适地选择群体参数,从而促进剂量学更广泛的应用。