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Completed

NCT Number: NCT06317103

A Clinical Trial to Evaluate the Sensitivity and Specificity of "WAYMED Endo" Compared to the Endoscopists in Classifying Early Gastric Cancer (EGC) Based on the Depth of Invasion in Endoscopic Images

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).

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Key information

Age range

19 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Yonsei University Gangnam Severance Hospital

Seoul, South Korea

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients aged 19 years or older who underwent EGD 2. 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.

Exclusion criteria

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

Treatment and study plan

WADYMED endo

Device

Classification of the gastro-endoscopic images as "Mucosa" or "Submucosa" by WADYMED endo (Gastric cancer image, computer aided detection/diagnosis software)

Control group (the endoscopists)

Other

Interpretation of the gastro-endoscopic images as "Mucosa" or "Submucosa" by the endoscopists

Primary outcomes

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

    Time frame: 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.

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

    Time frame: 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.

Secondary outcomes

  1. Accuracy in classifying the depth of invasion categories ("Mucosa" or "Submucosa") for early gastric cancer (%)

    Time frame: 3 months

    The probability of accurately classifying all early gastric cancer images as either "Mucosa" or "Submucosa", based on the depth of invasion categories confirmed through pathological examination.

Sponsors and collaborators

Lead sponsor

WAYCEN Inc

Industry

Registry information

Official study title

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

Important dates

Study start
2023
Primary completion
2023
Study completion
2023
First posted
Mar 19, 2024
Registry last updated
Mar 19, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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