NCT05768451尚未招募不适用
Accurate Prediction of Breast Cancer and Axillary Lymph Node Metastasis Burden by Multi-modal Ultrasound-based Radiomics
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School0 个研究点目标入组 200 人开始时间: 2023年4月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 200
- 主要终点
- Accuracy of differential diagnosis between benign and malignant
研究概览
简要总结
The project is proposed based on multimodal ultrasonic imaging omics building used for accurate prediction of the breast cancer and axillary lymph node metastasis load artificial intelligence forecasting model, this method can dig the hidden features of ultrasonic image is not visible to the naked eye, make up the subjectivity in the process of clinical doctors in diagnosis and treatment, provide accurate, objective basis for clinical decision making.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 90 Years（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •patients who have not received breast puncture biopsy or neoadjuvant chemotherapy, etc. prior to ultrasonography;
- •patients who are not allergic to the ultrasound contrast agent (SonoVue) and have signed an informed consent form for ultrasonography
- •patients with breast tumors who have undergone surgical treatment at our hospital and have complete case histories.
排除标准
- •patients with incomplete case data;
- •cases with large breast masses that do not completely show the region of interest (ROI);
- •patients who have undergone breast aspiration biopsy or other treatments such as neoadjuvant chemotherapy or endocrine therapy before ultrasound examination.
结局指标
主要结局
Accuracy of differential diagnosis between benign and malignant
时间窗: 2022.12.15-2023.12.30
ROC curve, sensitivity, specificity, accuracy, decision curve
次要结局
未报告次要终点
研究者
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