Clinical trial · Observational
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
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Artificial Intelligence | — | UNRESOLVED | — |
| Confocal Laser Endomicroscopy | — | UNRESOLVED | — |
| Esophageal Neoplasms | Esophageal Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| The diagnosis of Artificial Intelligence and endoscopist | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- esophageal mucosal lesions observed by pCLE
- description
- pCLE is used to distinguish the suspected lesions detected by white light endoscopy or IEE.
- interventionNames
- Diagnostic Test: The diagnosis of Artificial Intelligence and endoscopist
Primary outcomes (1)
- measure
- The diagnosis efficiency of Artificial Intelligence
- timeFrame
- 3 years
- description
- The primary outcome is to test the diagnostic accuracy, sensitivity, specificity, PPV, NPV of the Artificial Intelligence for diagnosing esophageal mucosal disease on real-time pCLE examination.
Secondary outcomes (1)
- measure
- Contrast the diagnosis efficiency of Artificial Intelligence with endoscopists
- timeFrame
- 1 month
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available