Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Shandong University

Status: Completed

Conditions: Magnifying Endoscopy; Artificial Intelligence; Optical Enhancement Endoscopy

Treatments: Other: AI presentation; Other: no AI presentation

Study type: Observational

Funder types: Other

Identifiers

NCT03759756

2018SDU-QILU-2

Details and patient eligibility

About

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.

Enrollment: 119 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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.

Trial design

119 participants in 2 patient groups

AI visible group

Description:

the endoscopic novices analyzing the images can see the automatic diagnosis of AI during the process

Treatment:

Other: AI presentation

AI invisible group

Description:

the endoscopic novice analyzing the images can not see the automatic diagnosis of AI during the process

Treatment:

Other: no AI presentation