Accurate Diagnosis of the Invasion Depth in ESCC by a Deep Neural Network Analysis of NBI Endoscopy Data

Shanghai Jiao Tong University

Status: Not yet enrolling

Conditions: Esophageal Squamous Cell Carcinoma

Study type: Observational

Funder types: Other

Identifiers

NCT06252974

LY2023-229-B

Details and patient eligibility

About

The goal of this observational study is to accurate diagnose the stage of esophageal squamous cell carcinoma in order to help physicians to decide the appropriate clinical treatment. The main question it aims to answer is:

• To get early accurate diagnosis of the invasion depth of esophageal squamous cell carcinoma by narrow-band imaging endoscopy data.

Participants' clinical informations from routine examinations and treatments will be collected, there will be no harm to participants.

Enrollment: 500 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Age ≥ 18 years old, regardless of gender;
2. Performing esophageal ESD surgery due to esophageal mucosal lesions;
3. Pathological evaluation of ESD specimens.

Exclusion criteria

Pathological examination after ESD surgery ruled out esophageal squamous cell carcinoma.