NCT06528236尚未招募不适用
Research on Automatic Detection of Ovarian Mass and Intelligent Auxiliary Diagnosis System Based on Multimodal Ultrasound Images
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 100,000
- 主要终点
- Area under the curve
研究概览
简要总结
Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.
详细描述
Investigators aimed to develop an ultrasonic intelligent diagnosis system for ovarian mass based on multimodal ultrasound images.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
入排标准
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
- •The patient underwent surgical treatment and the histopathological results.
排除标准
- •Histopathological analysis confirms non-ovarian tumor;
- •Histopathological results are inconclusive;
- •Issues with image quality: the ovarian mass is incomplete and does not show some surrounding tissues (but the mass is too large to exclude completely); the images are overly blurry, making it difficult to determine the characteristics of the ovarian mass (possible reasons include hardware quality issues with the ultrasound machine, motion blur, focusing problems, presence of intestinal gas in the patient); gain settings make it difficult to judge the characteristics of the ovarian mass (such as low contrast, excessively dark images, or saturation); the presence of artifacts affects the assessment of ultrasound characteristics of the ovarian mass and should be excluded.
结局指标
主要结局
Area under the curve
时间窗: Through study completion, an average of 1 year
AUC (Area Under the Curve) is a common index used to evaluate the performance of binary classification model.
次要结局
- Sensitivity(Through study completion, an average of 1 year)
研究者
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