应用治疗前[68Ga]Ga-DOTA-TATE PET/CT及生物标志物预测神经内分泌肿瘤患者的[177Lu]Lu-DOTA-TATE剂量测定。

Medical physics Pub Date : 2025-04-23 DOI:10.1002/mp.17852
Hongxing Yang, Ming Qi, Zhihao Chen, Fei Liu, Junyan Xu, Xiaoping Xu, Qing Kong, Jianping Zhang, Shaoli Song
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引用次数: 0

摘要

背景:Lutetium-177 DOTA-TATE肽受体放射性核素治疗(PRRT)是转移性神经内分泌肿瘤(NETs)患者的一种成熟有效的治疗方式。目的:本研究旨在利用治疗前[68Ga]Ga-DOTA-TATE PET/CT的患者特异性吸收剂量,预测[177Lu]Lu-DOTA-TATE PRRT在肝脏、肾脏和病变中的患者吸收剂量。方法:11例NETs患者在第1周期治疗前,分别于注射[68Ga]Ga-DOTA-TATE后0.5、1.0、2.0、4.0 h行PET/CT扫描。然后患者接受[177Lu]Lu-DOTA-TATE PRRT,并在给药后4、24、96和168小时进行SPECT/CT扫描。采用专业软件进行分割和剂量测定。线性回归模型仅以[68Ga]Ga-DOTA-TATE的吸收剂量作为预测变量。多元线性回归模型以[68Ga]Ga-DOTA-TATE的吸收剂量及相关临床生物标志物作为预测变量。结果:[177Lu]Lu-DOTA-TATE PRRT在肾脏和肝脏的平均吸收剂量分别为4.1和2.1 Gy。相比之下,[68Ga]Ga-DOTA-TATE的平均吸收剂量明显较低,分别为18.0 mGy和11.0 mGy。对于病变而言,[68Ga]Ga-DOTA-TATE的最大吸收剂量为24.1 ~ 170.4 mGy,而[177Lu]Lu-DOTA-TATE PRRT的最大吸收剂量明显更高,为9.6 ~ 77.9 Gy。线性回归模型对肾脏、肝脏和病变的r平方值分别为0.50、0.59和0.36。多元线性回归模型的表现较好,r平方值分别增加到0.81、0.77和0.84。结论:可准确预测[177Lu]Lu-DOTA-TATE PRRT的吸收剂量。此外,我们的模型被形式化成简单的方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting [177Lu]Lu-DOTA-TATE dosimetry by using pre-therapy [68Ga]Ga-DOTA-TATE PET/CT and biomarkers in patient with neuroendocrine tumors.

Background: Lutetium-177 DOTA-TATE peptide receptor radionuclide therapy (PRRT) is an established and effective treatment modality for patients with metastatic neuroendocrine tumors (NETs).

Purpose: This study aims to predict patient-absorbed doses from [177Lu]Lu-DOTA-TATE PRRT in the liver, kidney and lesion by utilizing patient-specific absorbed doses from pre-therapeutic [68Ga]Ga-DOTA-TATE PET/CT.

Methods: Before the treatment of cycle 1, 11 patients with NETs underwent PET/CT scans at 0.5, 1.0, 2.0 and 4.0 h after the injection of [68Ga]Ga-DOTA-TATE. Patients then received [177Lu]Lu-DOTA-TATE PRRT and underwent SPECT/CT scans at 4, 24, 96, and 168 h post-administration. The segmentations and dosimetry were performed by using a professional software. The linear regression model used the absorbed doses from [68Ga]Ga-DOTA-TATE alone as the predictor variable. The multiple linear regression model used the absorbed doses from [68Ga]Ga-DOTA-TATE and the relevant clinical biomarkers as the predictor variables.

Results: The mean absorbed doses from [177Lu]Lu-DOTA-TATE PRRT in kidney and liver were 4.1 and 2.1 Gy, respectively. In comparison, the mean absorbed doses from [68Ga]Ga-DOTA-TATE were significantly lower: 18.0 mGy and 11.0 mGy, respectively. For lesions, the maximum absorbed dose from [68Ga]Ga-DOTA-TATE ranged from 24.1 to 170.4 mGy, while the maximum absorbed dose from [177Lu]Lu-DOTA-TATE PRRT was significantly higher, ranging from 9.6 to 77.9 Gy. The linear regression model yielded moderate R-squared values of 0.50, 0.59, and 0.36 for kidney, liver and lesion, respectively. The performance of multiple linear regression model was better, with R-squared values increasing to 0.81, 0.77, and 0.84.

Conclusion: Absorbed doses from [177Lu]Lu-DOTA-TATE PRRT can be accurately predicted. Moreover, our models are formalized into simple equations.

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