JPRN-UMIN000026552已完成未知
Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence - Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence
Digestive Disease Center, Showa University Nothern Yokohama Hospital0 个研究点目标入组 600 人开始时间: 2017年3月15日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 600
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
- 20years-old 至 ot applicable（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •1.Presence of synchronous or metachronous advanced colorectal cancer 2.Presence of malignant diseases in any other organs
研究者
相似试验
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
Prediction of Axillary lymph node metastasis by Tumor to breast ratio in breast cancerassociation between the tumor-to-breast ratio in breast cancer and its potential as a predictive factor for axillary lymph node metastasis1.tumor to breast ration2lymph nodes metastasis3 breast volume4 breast cancerTCTR20230725005Chiangrai Prachanukroh hospital200
尚未招募
不适用
Generating a predictive model in identifying spread of oral cancers to neck - an observational studyCTRI/2020/07/026681All India Institute Of Medical Sciences Rishikesh
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