Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence

Detection and differentiation of esophageal squamous neoplasia (ESN) are of value in improving patient outcomes. Probe-based confocal laser endomicroscopy (pCLE) can diagnose ESN accurately.However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

Inclusion Criteria:

• aged between 18 and 80;
• agree to give written informed consent；

Exclusion Criteria:

• advanced esophageal squamous cell carcinoma or esophageal stenosis;
• having no suspicious lesion of ESN found by WLE and IEE
• known allergy to fluorescein sodium;
• having coagulopathy or impaired renal function;
• being pregnant or breastfeeding.