NCT05407506Unknown不适用
Clinical Study of Ultrasonic Artificial Intelligence and Fine Needle Aspiration in Qualitative Diagnosis of Thyroid Nodules
Luo Dingcun0 个研究点目标入组 1,000 人开始时间: 2022年6月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 1,000
- 主要终点
- THYROID AI
研究概览
简要总结
To study the value of thyroid artificial intelligence diagnosis system and fine needle puncture in the diagnosis of benign and malignant thyroid nodules, so as to provide evidence-based medical evidence for the diagnosis of benign and malignant thyroid nodules by artificial intelligence.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •(1) Age 18-75 years old, regardless of gender; (2) The nodules were observed with complete transverse and longitudinal standard sections; (3) The nodules were observed and underwent thyroid fine needle aspiration, including cytology and BRAF gene mutation detection; (4) Patients voluntarily entered the study after informed consent.
排除标准
- •(1) If the observed nodule is less than 2mm or more than 50mm, the artificial intelligence system cannot recognize it; (2) Uncontrolled subacute thyroiditis and hyperthyroidism; (3) Previous thyroid surgery or radiofrequency ablation of thyroid nodules; (4) History of neck trauma.
结局指标
主要结局
THYROID AI
时间窗: immediately after the procedure
classify thyroid nodules as Benign or Malignant
次要结局
未报告次要终点
研究者
Luo Dingcun
vice president of hospital
Zhejiang University
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