Semi-automated Segmentation Methods of SSTR PET for Dosimetry Prediction in Refractory Meningiomas Treated by SSTR-targeted Peptide Receptor Radionuclide Therapy
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- To evaluate the SUVmean (Standard Uptake Value)as a predictive factor of the tumor absorbed dose compared to the SUVmax
研究概览
简要总结
Tumor dosimetry with somatostatin receptor-targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lutetium-DOTATATE might contribute to improve follow-up and treatment response of refractory meningiomas. This study aims to evaluate Standard Uptake Value mean (SUVmean) as a tumoral absorbed dose predictive predictive factor and propose semi-automated segmentation method to determine metabolic tumor volume with pretherapeutic 68-Gallium-DOTATOC PET.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with meningioma
排除标准
- •PET scan not available
结局指标
主要结局
To evaluate the SUVmean (Standard Uptake Value)as a predictive factor of the tumor absorbed dose compared to the SUVmax
时间窗: 2 months
Measurements of SUVmean and SUVmax at the lesion level on 68Ga-DOTATOC PET/CT Correlation between SUVmean and max measurements with tumor absorbed doses.
To propose a semi-automated segmentation
时间窗: 1 month
Propose a semi-automated segmentation method for determining metabolic tumor volume with pretherapy DOTATOC labelled with gallium-68 PET. (68Ga-DOTATOC PET)
次要结局
未报告次要终点
研究者
Antoine VERGER
Principal investigator
Central Hospital, Nancy, France