DRKS00026991招募中不适用
Automated analysis of whole body FDG PET/CT Data using Machine Learning methods - AutoPET
Klinikum der Universität München, Campus Großhadern0 个研究点目标入组 2,000 人开始时间: 2022年3月10日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 2,000
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18 Years 至 one（—）
- 性别
- All
入选标准
- •Histologically confirmed malignancy (bronchial carcinoma, melanoma, lymphoma)
- •Baseline (therapy-naïve) whole-body 18F -FDG PET/CT with at least one PET-positive lesion
- •Control group: Patients without oncological disease who have received a whole-body 18F -FDG PET/CT due to another indication and do not show pathological tracer accumulation.
排除标准
- •- Patients who have already received therapy prior to imaging
- •- Missing or incomplete image records in PACS
研究者
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