TCTR20230725005已完成不适用
Prediction of Axillary lymph node metastasis by Tumor to breast ratio in breast cancer
Chiangrai Prachanukroh hospital0 个研究点目标入组 200 人开始时间: 2023年7月25日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 200
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
- 10 Years 至 80 Years（—）
- 性别
- Female
入选标准
- •1.Patients diagnosed with breast cancer.
- •2.Patients who underwent breast ultrasound and mammography.
- •3.Availability of pathological reports indicating tumor diameter in all dimensions.
排除标准
- •1.Patients with bilateral breast cancer or metastatic disease.
- •2.Patients with more than one breast cancer.
研究者
相似试验
已完成
不适用
Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligencecolorectal cancerJPRN-UMIN000026552Digestive Disease Center, Showa University Nothern Yokohama Hospital600
已完成
2 期
The prediction of lateral lymph node metastasis using One Step Nucleic Acid Amplification method in the rectal cancerrectal cancerJPRN-UMIN000031964Yokohama City University, Department of Surgery24
已完成
不适用
Prediction of lymph node metastasis in T1 colorectal cancer with artificial intelligenceT1 colorectal cancerJPRN-UMIN000038609Showa University Nothern Yokohama Hospital4,169
招募中
不适用
Predictive model for lymph node metastasis of colorectal cancer - using PET / CTColorectal cancerJPRN-UMIN000029549Southern Tohoku General Hospital200
已完成
不适用
Evaluation on a possible risk of lymph node metastasis in early colorectal cancers by using circulating tumor DNAEarly colorectal cancersJPRN-UMIN000039815ippon Medical School Hospital3