Early Gastric Cancer Clinical Trial
Official 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
Verified date | March 2024 |
Source | WAYCEN Inc |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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).
Status | Completed |
Enrollment | 653 |
Est. completion date | August 22, 2023 |
Est. primary completion date | August 22, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 19 Years and older |
Eligibility | Inclusion Criteria: 1. 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 1. M ("Mucosa (mucosal invasion)"): Medical data of early gastric cancer patients with confirmed "Mucosa" for the depth of invasion category in the EMR. 2. 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: 1. Absence of pathological results for the lesion 2. History of gastrectomy 3. Judged as inappropriate for inclusion by the investigator |
Country | Name | City | State |
---|---|---|---|
Korea, Republic of | Yonsei University Gangnam Severance Hospital | Seoul |
Lead Sponsor | Collaborator |
---|---|
WAYCEN Inc |
Korea, Republic of,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Clinical Sensitivity in classifying early gastric cancer (EGC) based on the depth of invasion (%) | 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. | 3 months | |
Primary | Clinical Specificity in classifying early gastric cancer (EGC) based on the depth of invasion (%) | 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. | 3 months | |
Secondary | Accuracy in classifying the depth of invasion categories ("Mucosa" or "Submucosa") for early gastric cancer (%) | 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. | 3 months |
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