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临床试验/NCT05244278
NCT05244278招募中不适用

Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies

Centre hospitalier de l'Université de Montréal (CHUM)1 个研究点 分布在 1 个国家目标入组 1,596 人开始时间: 2023年8月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
1,596
试验地点
1
主要终点
ADR

研究概览

简要总结

This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions.

The main hypothesis of this study is that the ADR in the operating room equipped with the GI genius CADe system will be significantly higher than the ADR in the ordinary operating room.

详细描述

This trial will be conducted in four centers across Canada. All patients who meet the in/exclusion criteria can be enrolled. The patient's personal medical history will be reviewed to verify patient inclusion and exclusion criteria (age, history of CRC or adenoma, comorbid conditions, anticoagulation, etc.).

Eligible patients will be randomized (1:1) stratified per center, endoscopist, sex, and age group in two arms:

  1. Intervention arm: patients will be assigned to undergo colonoscopy in a room equipped with the GI genius CADe system.
  2. Control arm: patients will undergo colonoscopy in a room not equipped with the GI genius CADe system.

The endoscopists performing the colonoscopies will not be involved in the development and implementation of CADe. Additionally, they won't be informed of the ongoing trial and will have the option of not using the CADe when available in the room. This design aims to mitigate operator biases that may be partly responsible for the observed difference between the CADe performance in randomized controlled trials and the CADe performance in implementation studies.

Data will be collected on case report forms (CRF), after the procedure, from the clinical files and the endoscopy reports. The data will then be deidentified and transferred to an electronic RedCap database in each institution. A research assistant will collect all information and annotations recorded on the patient's medical file during the procedure.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Diagnostic
盲法
Triple (Participant, Care Provider, Outcomes Assessor)

盲法说明

Allocation will be concealed; the patients and the participating endoscopists will not be informed of the treatment group.

入排标准

年龄范围
45 Years 至 89 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • indication of undergoing a screening, surveillance, or diagnostic colonoscopy
  • Age 45-89 years

排除标准

  • Patients undergoing emergency colonoscopy
  • Patients with a known familial polyposis syndrome or a known inflammatory bowel disease

结局指标

主要结局

ADR

时间窗: 30 days

The adenoma detection rate (ADR) is defined as the proportion of colonoscopies with at least 1 histopathologically proven adenoma or carcinoma detected.

次要结局

  • Mean number of adenomas per colonoscopy (APC)(30 days)
  • Sessile serrated lesions (SSL) detection rate(30 days)
  • Sessile serrated lesion per Colonoscopy (SSLPC)(30 days)
  • Advanced lesion detection rate (ALDR)(30 days)
  • Proximal ADR(30 days)
  • Proportion neoplastic and non-neoplastic polyps(30 days)
  • CADe utilization rate(Through study completion, an average of 3 years)

研究者

发起方
Centre hospitalier de l'Université de Montréal (CHUM)
申办方类型
Other
责任方
Principal Investigator
主要研究者

Daniel Von Renteln

Gastroenterologist, Principal Scientist, MD, PhD

Centre hospitalier de l'Université de Montréal (CHUM)

研究点 (1)

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