Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Completed

• Conditions: Optical Enhancement Endoscopy; Artificial Intelligence; Magnifying Endoscopy
• Interventions: Other: no AI presentation; Other: AI presentation

• Registration Number: NCT03759756
• Lead Sponsor: Shandong University

Brief Summary

Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2018-11-28
• Study First Submitted QC: 2018-11-28
• Study First Posted: 2018-11-30
• Study Start: 2018-12-01
• Primary Completion: 2020-03-01
• Status Verified: 2020-04
• Study Completion: 2020-04-01
• Last Update Submitted: 2020-04-25
• Last Update Posted: 2020-04-28

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 119

Inclusion Criteria

• high risk patients for esophageal cancer aged 18 years or older;
• Histologically verified early esophageal squamous cell cancer.

Exclusion Criteria

• patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
AI invisible group	no AI presentation	the endoscopic novice analyzing the images can not see the automatic diagnosis of AI during the process
AI visible group	AI presentation	the endoscopic novices analyzing the images can see the automatic diagnosis of AI during the process

Primary Outcome Measures

Name	Time	Method
the diagnosis efficiency of the AI model	12 months	the sensitivity, specificity and accuracy of the AI model

Trial Locations

Locations (1)

Department of Gastroenterology, Qilu Hospital, Shandong University; 🇨🇳 Jinan, Shandong, China