Inter- and intra-tumoral heterogeneity on [68Ga]Ga-DOTA-TATE/[68Ga]Ga-DOTA-TOC PET/CT predicts response to [177Lu]Lu-DOTA-TATE PRRT in neuroendocrine tumor patients.

Camila Gadens Zamboni, Ayca Dundar, Sanchay Jain, Marc Kruzer, Bradley T Loeffler, Stephen A Graves, Janet H Pollard, Sarah L Mott, Joseph S Dillon, Michael M Graham, Yusuf Menda, Ahmad Shariftabrizi
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引用次数: 0

Abstract

Background: Indices of tumor heterogeneity on somatostatin receptor PET/CT scans may potentially serve as predictive biomarkers of treatment efficacy in neuroendocrine tumor (NET) patients undergoing [177Lu]Lu-DOTA-TATE PRRT.

Methods: NET patients who underwent [177Lu]Lu-DOTA-TATE therapy at the University of Iowa from August 2018 to February 2021 were retrospectively evaluated. Radiomic features on the pre-PRRT somatostatin receptor PET/CT were evaluated using a custom MIM Software® LesionID workflow. Conventional PET/CT metrics of tumor burden, such as somatostatin receptor expression and tumor volume, were calculated in addition to the indices of tumor heterogeneity for each lesion (intra-lesional) and then summarized across all lesions throughout the body (inter-lesional). Endpoints included post-PRRT 24-month time to progression (TTP) and overall survival (OS). Cox regression models were used to assess the predictive ability of the imaging factors on post-PRRT 24-month TTP and OS. LASSO-penalized Cox regression was used to build a multivariable model for each outcome.

Results: Eighty patients with a mean age of 65.1 years were included, with most (71.3%) completing 4 cycles of PRRT. Median TTP was 19.1 months, and OS at 60 months was 50%. A large degree of variability between patients was evidenced for imaging features related to somatostatin receptor expression. On multivariable analysis, total receptor expression and mean liver-corrected SUVmean were selected for 24-month TTP. The model was not able to significantly predict progression (C-statistic = 0.58, 95% CI 0.50-0.62). Total receptor expression and mean skewness were selected for OS. The resulting model was able to significantly predict death (C-statistic = 0.62, 95% CI 0.53-0.67), but the predictive ability was limited, as evidenced by the low C-statistic.

Conclusions: Our exploratory analysis provides preliminary results showing that imaging indices of inter- and intra-tumor heterogeneity from pretreatment PET/CT images may potentially predict treatment efficacy in NET patients undergoing [177Lu]Lu-DOTA-TATE therapy. However, prospective evaluation in a larger cohort is needed to further assess whether a comprehensive characterization of tumor heterogeneity within a patient can help guide treatment decisions.

[68Ga]Ga-DOTA-TATE/[68Ga]Ga-DOTA-TOC PET/CT的肿瘤间和肿瘤内异质性预测神经内分泌肿瘤患者对[177Lu]Lu-DOTA-TATE PRRT的反应。
背景:生长抑素受体PET/CT扫描的肿瘤异质性指标可能潜在地作为神经内分泌肿瘤(NET)患者接受[177Lu]Lu-DOTA-TATE PRRT治疗效果的预测性生物标志物。方法:回顾性评估2018年8月至2021年2月在爱荷华大学接受[177Lu]Lu-DOTA-TATE治疗的NET患者。使用定制的MIM Software®LesionID工作流程评估prrt前生长抑素受体PET/CT的放射学特征。除了计算每个病变(病变内)的肿瘤异质性指标外,还计算常规的PET/CT肿瘤负荷指标,如生长抑素受体表达和肿瘤体积,然后总结整个身体的所有病变(病变间)。终点包括prrt后24个月的进展时间(TTP)和总生存期(OS)。采用Cox回归模型评估影像学因素对prrt后24个月TTP和OS的预测能力。使用lasso惩罚Cox回归为每个结果建立多变量模型。结果:纳入80例患者,平均年龄65.1岁,大多数(71.3%)完成了4个周期的PRRT。中位TTP为19.1个月,60个月的OS为50%。与生长抑素受体表达相关的影像学特征在患者之间存在很大程度的差异。在多变量分析中,选择24个月TTP的总受体表达和平均肝脏校正SUVmean。该模型不能显著预测进展(C-statistic = 0.58, 95% CI 0.50-0.62)。OS选择总受体表达量和平均偏度。该模型能够显著预测死亡(C-statistic = 0.62, 95% CI 0.53-0.67),但预测能力有限,c -统计量较低。结论:我们的探索性分析提供了初步结果,表明预处理PET/CT图像的肿瘤间和肿瘤内异质性的成像指标可能潜在地预测NET患者接受[177Lu]Lu-DOTA-TATE治疗的治疗效果。然而,需要在更大的队列中进行前瞻性评估,以进一步评估患者肿瘤异质性的综合特征是否有助于指导治疗决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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