跳至主要内容
临床试验/NCT06317103
NCT06317103已完成不适用

A Retrospective, Single Center, Double Arm, Blind, Controlled, Pivotal Trial to Evaluate Classification by the Depth of Invasion of Early Gastric Cancer Sensitivity and Specificity of Gastric Cancer Image Computer Aided Detection and Diagnosis Software 'WAYMED Endo' and Endoscopists in Endoscopic Images

WAYCEN Inc1 个研究点 分布在 1 个国家目标入组 653 人开始时间: 2023年8月22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
653
试验地点
1
主要终点
Clinical Sensitivity in classifying early gastric cancer (EGC) based on the depth of invasion (%)

研究概览

简要总结

The purpose of this clinical trial is to prove that the prediction capability of 'WAYMED endo' is superior to that of the endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images.

The computer-aided detection·diagnosis software is an Artificial Intelligence (AI) software used to assist medical specialists in diagnostic decisions by automatically classifying EGC based on the depth of invasion categories in gastro-endoscopic images and displaying the results and possibilities on the User Interface (UI).

详细描述

This clinical trial aims to evaluate the sensitivity and specificity of 'WAYMED endo' compared to that of endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images. It is designed as a retrospective, single-center, double-arm, double-blind (endoscopist, investigational medical device applicator), controlled, and pivotal trial. Medical data collected retrospectively from subjects who underwent Esophagogastroduodenoscopy (EGD) and biopsy are screened. As a result of screening, medical data that meet all inclusion/exclusion criteria are enrolled and assigned to the trial and control groups.

In the trial group, the investigational medical device is applied to the images, while the endoscopists interpret the images in the control group. The Reference Standard Establishment Committee records the reference standard results as either "Mucosa (mucosal invasion)" or "Submucosa (submucosal invasion)", based on the depth of invasion of the lesion, and marks the detected lesion area with an oval on the image. The reference standard results are blinded, so they cannot be disclosed to the endoscopists or the investigational medical device applicator.

The primary endpoint includes the sensitivity (%) and specificity (%) of "WAYMED endo" and the endoscopists in classifying EGC based on the depth of invasion categories ("Mucosa" or "Submucosa") as confirmed by the reference standard. The secondary endpoint includes the accuracy (%) of "WAYMED endo" and the endoscopists in accurately classifying all early gastric cancer images as either "Mucosa" or "Submucosa", based on the depth of invasion categories as confirmed through pathological examination.

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
19 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients aged 19 years or older who underwent EGD
  • Confirmed the presence of gastric cancer through the Electronic Medical Record (EMR), including reports of EGD or pathology
  • M ("Mucosa (mucosal invasion)"): Medical data of early gastric cancer patients with confirmed "Mucosa" for the depth of invasion category in the EMR.
  • SM ("Submucosa (submucosal invasion)"): Medical data of early gastric cancer patients with confirmed "Submucosa" for the depth of invasion category in the EMR.

排除标准

  • Absence of pathological results for the lesion
  • History of gastrectomy
  • Judged as inappropriate for inclusion by the investigator

结局指标

主要结局

Clinical Sensitivity in classifying early gastric cancer (EGC) based on the depth of invasion (%)

时间窗: 3 months

The probability of being classified as "Mucosa (mucosal invasion)", based on the depth of invasion categories for early gastric cancer, among gastro-endoscopic images confirmed as "Mucosa" through the results of pathologic examination.

Clinical Specificity in classifying early gastric cancer (EGC) based on the depth of invasion (%)

时间窗: 3 months

The probability of being classified as "Submucosa (submucosal invasion)", based on the depth of invasion categories for early gastric cancer, among gastro-endoscopic images confirmed as "Submucosa" through the results of pathologic examination.

次要结局

  • Accuracy in classifying the depth of invasion categories ("Mucosa" or "Submucosa") for early gastric cancer (%)(3 months)

研究者

发起方
WAYCEN Inc
申办方类型
Industry
责任方
Sponsor

研究点 (1)

Loading locations...

相似试验