Colorectal Polyp Histology Prediction by Artificial Ingelligence Method Based on NBI Colonoscopy Images.
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,200
- 主要终点
- Polyp histology accuracy by AI method
研究概览
简要总结
We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging(NBI) colonoscopy images to predict the hyperplastic or neoplastic histology of polyps.
We plan to study colonoscopy polyp samples taken by polypectomy from 1200 patients.The documented NBI still images will be analyzed by the AIPHP method and by the NICE classification parallel.Our aim is to analyze the accuracy of AIPHP and NBI classification based histology predictions and also compare the results of the two methods.
详细描述
Background:
Colonoscopy with polypectomy or early colorectal neoplastic lesions (polyp) is a proven and widely accepted method of reducing colorectal cancer mortality rates.
Predicting histology prior to endoscopic colorectal polyp removal is useful especially for diminutive (1-5mm) and small (6-10mm ) polyps.
Evaluation of colorectal polyps using the narrow-band imaging (NBI) technique and the NBI International Colorectal Endoscopic (NICE) classification are useful to predict the histology during endoscopy.However, NBI and magnification based polyp histology prediction needs training and endoscopic experience. Morever , the final and objective diagnosis still requires histology.
Therefore,we have been developing arteficial intelligence-based polyp histology prediction (AIPHP) software to automatically evaluate the magnified NBI colonoscopy images aiming the histology prediction of polyps.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •colorectal polyps removed by polypectomy
排除标准
- •colorectal polyps with IBD
结局指标
主要结局
Polyp histology accuracy by AI method
时间窗: two weeks
polyp histology prediction by AI
次要结局
未报告次要终点