Application and Evaluation of Vision-LSTM Model in Diagnostic Ultrasound Imaging of TI-RADS Class 4b Thyroid Nodules
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 401
- 试验地点
- 1
- 主要终点
- Accuracy of diagnostic models
研究概览
简要总结
The aim of this study was to evaluate the performance of artificial intelligence (AI) technology in the diagnosis of thyroid nodules, specifically in the field of ultrasound image analysis. It focuses on the accuracy and clinical feasibility of the AI system based on the Vision-LSTM model in the diagnosis of TI-RADS category 4b thyroid nodules.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 20 Years 至 78 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •(1) Patients with thyroid nodules visible on ultrasound who underwent biopsy and/or surgical resection. (2) Diagnosed as TI-RADS category 4b on the basis of preoperative ultrasound images by two sonographers with more than 5 years of experience in thyroid ultrasound diagnosis. (3) All nodules underwent puncture biopsy or surgery to obtain pathologic results.
排除标准
- •(1)The quality of the patient's ultrasound images was poor. (2) The patient has incomplete clinical and imaging data. (3) The patient has had thyroid surgery or other treatment.
研究组 & 干预措施
maligant
patients with maligant thyroid masses who underwent biopsy and/or surgical resection.
benign
patients with benign thyroid masses who underwent biopsy and/or surgical resection.
结局指标
主要结局
Accuracy of diagnostic models
时间窗: Immediately evaluated after the diagnostic model was built
The study collected ultrasound imaging data from 401 cases of TI-RADS 4b thyroid nodules at our hospital and used this data to train and validate the Vision-LSTM model. The diagnostic results of the AI model were compared with those of junior and senior clinicians to evaluate its performance in terms of diagnostic accuracy and stability; model performance was quantified using metrics such as the area under the curve (AUC) and the precision-recall curve (PR curve).
次要结局
未报告次要终点
研究者
Ma Zhe
Chief Physician
Qianfoshan Hospital