Dewaraja Yuni K, Schipper Matthew J, Shen Jincheng, Smith Lauren B, Murgic Jure, Savas Hatice, Youssef Ehab, Regan Denise, Wilderman Scott J, Roberson Peter L, Kaminski Mark S, Avram Anca M
Department of Radiology, University of Michigan, Ann Arbor, Michigan
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
J Nucl Med. 2014 Jul;55(7):1047-53. doi: 10.2967/jnumed.113.136044. Epub 2014 May 19.
The study aimed at identifying patient-specific dosimetric and nondosimetric factors predicting outcome of non-Hodgkin lymphoma patients after (131)I-tositumomab radioimmunotherapy for potential use in treatment planning.
Tumor-absorbed dose measures were estimated for 130 tumors in 39 relapsed or refractory non-Hodgkin lymphoma patients by coupling SPECT/CT imaging with the Dose Planning Method (DPM) Monte Carlo code. Equivalent biologic effect was calculated to assess the biologic effects of nonuniform absorbed dose including the effects of the unlabeled antibody. Evaluated nondosimetric covariates included histology, presence of bulky disease, and prior treatment history. Tumor level outcome was based on volume shrinkage assessed on follow-up CT. Patient level outcome measures were overall response (OR), complete response (CR), and progression-free survival (PFS), determined from clinical assessments that included PET/CT.
The estimated mean tumor-absorbed dose had a median value of 275 cGy (range, 94-711 cGy). A high correlation was observed between tracer-predicted and therapy-delivered mean tumor-absorbed doses (P < 0.001; r = 0.85). In univariate tumor-level analysis, tumor shrinkage correlated significantly with almost all of the evaluated dosimetric factors, including equivalent biologic effect. Regression analysis showed that OR, CR, and PFS were associated with the dosimetric factors and equivalent biologic effect. Both mean tumor-absorbed dose (P = 0.025) and equivalent biologic effect (P = 0.035) were significant predictors of PFS whereas none of the nondosimetric covariates were found to be statistically significant factors affecting PFS. The most important finding of the study was that in Kaplan-Meier curves stratified by mean dose, longer PFS was observed in patients receiving mean tumor-absorbed doses greater than 200 cGy than in those receiving 200 cGy or less (median PFS, 13.6 vs. 1.9 mo for the 2 dose groups; log-rank P < 0.0001).
A higher mean tumor-absorbed dose was significantly predictive of improved PFS after (131)I-tositumomab radioimmunotherapy. Hence tumor-absorbed dose, which can be estimated before therapy, can potentially be used to design radioimmunotherapy protocols to improve efficacy.
本研究旨在确定预测非霍奇金淋巴瘤患者在接受¹³¹I - 托西莫单抗放射免疫治疗后的结局的患者特异性剂量学和非剂量学因素,以便用于治疗计划。
通过将SPECT/CT成像与剂量规划方法(DPM)蒙特卡罗代码相结合,对39例复发或难治性非霍奇金淋巴瘤患者的130个肿瘤进行肿瘤吸收剂量测量。计算等效生物学效应以评估非均匀吸收剂量的生物学效应,包括未标记抗体的效应。评估的非剂量学协变量包括组织学、巨大肿块疾病的存在和既往治疗史。肿瘤水平的结局基于随访CT评估的体积缩小。患者水平的结局指标为总缓解率(OR)、完全缓解率(CR)和无进展生存期(PFS),由包括PET/CT在内的临床评估确定。
估计的平均肿瘤吸收剂量中位数为275 cGy(范围为94 - 711 cGy)。示踪剂预测的和治疗时给予的平均肿瘤吸收剂量之间观察到高度相关性(P < 0.001;r = 0.85)。在单变量肿瘤水平分析中,肿瘤缩小与几乎所有评估的剂量学因素显著相关,包括等效生物学效应。回归分析表明,OR、CR和PFS与剂量学因素和等效生物学效应相关。平均肿瘤吸收剂量(P = 0.025)和等效生物学效应(P = 0.035)均为PFS的显著预测因素,而未发现任何非剂量学协变量是影响PFS的统计学显著因素。该研究最重要的发现是,在按平均剂量分层的Kaplan - Meier曲线中,接受平均肿瘤吸收剂量大于200 cGy的患者的PFS长于接受200 cGy或更低剂量的患者(两个剂量组的中位PFS分别为13.6个月和1.9个月;对数秩检验P < 0.0001)。
较高的平均肿瘤吸收剂量显著预测¹³¹I - 托西莫单抗放射免疫治疗后PFS的改善。因此,治疗前可估计的肿瘤吸收剂量可潜在地用于设计放射免疫治疗方案以提高疗效。