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临床试验/2024-516156-18-00
2024-516156-18-00招募中2 期

Dual 64Cu-DOTATATE and 18F-FDG PET/CT Imaging of Patients with Neuroendocrine Neoplasms

Rigshospitalet1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2024年8月20日最近更新:

试验速览

阶段
2 期
状态
招募中
入组人数
200
试验地点
1
主要终点
Progression free survival (PFS).

研究概览

简要总结

To develop models based on tumor measurements derived from combined 18FDG and 64Cu-DOTATATE PET/CT scans to predict progression-free survival for patients with neuroendocrine neoplasms.

入排标准

年龄范围
18 years 至 65+ years(18-64 Years, 65+ Years)
接受健康志愿者

入选标准

  • Age above or of 18 years
  • Histopathologically verified gastro-pancreatic neuroendocrine neoplasm (GEP-NEN: GEP NET G1-G3 or GEP-NEC) or unknown primary tumor with NEN-positive metastases suggesting GEP origin on pathology examination.
  • Must be able to read and understand the patient information in Danish and to give informed consent.
  • WHO Performance status 0-2.

排除标准

  • Localized neuroendocrine neoplasms of the appendix, the rectum measuring < 1 cm, and ECL-omas of the stomach
  • History of allergic reaction attributable to compounds of similar chemical or biologic composition to 18FDG or 64Cu-DOTATATE
  • Breast-feeding
  • Weights more than the maximum weight limit for the PET/CT bed of the scanner (140 kg)
  • Uncontrolled diabetes
  • Uncontrolled infection
  • Exacerbation in autoimmune diseases
  • Other active cancer disease
  • Conditions or diseases (e.g. uncontrolled Parkinson’s disease) making the patient unable to lie still in the scanner
  • Severe claustrophobia

结局指标

主要结局

Progression free survival (PFS).

Progression free survival (PFS).

次要结局

  • Overall survival (OS)
  • The proportion of patients who are considered eligible for peptide receptor radionuclide therapy based on their 64Cu-DOTATATE PET/CT scan
  • The correlation between standardized uptake values from tumors and healthy tissues derived from manually depicted regions-of-interests measured on 18FDG and 64Cu-DOTATATE

研究者

申办方类型
Hospital/Clinic/Other health care facility
责任方
Principal Investigator
主要研究者

Mathias Loft

Scientific

Rigshospitalet

研究点 (1)

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