Effectiveness and Performance of an Optical Biopsy Technology for Esophageal Cancer in Brazil and the United States
Part of paid clinical trials in Houston, Texas.
- Sponsor
- Baylor College of Medicine
- Study ID
- NCT06435286
- Phase
- PHASE2
- Status
- Recruiting
Conditions
- Prior History of Squamous Cell Dysplasia and /or Neoplasia
- Suspected or Known Squamous Cell Neoplasia
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Proflavine Hemisulfate — DRUGApproximately 5-10 ml of proflavine hemisulfate (0.01%) will be sprayed on the esophageal mucosa.
- Artificial Intelligence Mobile High-Resolution Microendoscope — DEVICEThe AI-mHRME will be inserted through the endoscope biopsy channel and gently placed against the mucosa where proflavine was sprayed. The probe will transmit images to the computer/laptop for the clinician to observe any abnormal tissues and save photos of these tissues.
Study Details
In a previous clinical trial in China and the United States (US), the investigators developed and validated a mobile, high-resolution microendoscope (mHRME) for screening and surveillance of esophageal squamous cell neoplasia (ESCN). The trial revealed higher specificity for qualitative (visual) interpretation by experts but not the novice and in the surveillance arm (100% vs. 19%, p \<0.05). In the screening arm, diagnostic yield (neoplastic biopsies/total biopsies) increased 3.6 times (8 to 29%); 16% of patients were correctly spared any biopsy, and 18% had a change in clinical plan. In a pilot study in Brazil, the investigators tested a software-assisted mHRME with deep-learning software algorithms to aid in the detection of neoplastic images and determine the performance, efficiency, and impact of the AI-mHRME when to Lugol's chromoendoscopy (LCE) alone and when using AI-mHRME with LCE. In this clinical trial, the investigators will build on the Brazil pilot trial data to optimize an artificial intelligence (AI) mHRME and evaluate its clinical impact and implementation potential in ethnically and socioeconomically diverse populations in the US and Brazil.
Key Dates
- Start date
- Feb 17, 2025
- Status verified
- Sep 2025
- Primary completion
- Mar 1, 2027
- Completion
- Mar 1, 2027
Study Design
- Enrollment
- 200 participants (estimated)
- Allocation
- NA
- Intervention model
- SINGLE_GROUP
- Primary purpose
- SCREENING
Arms
- Experimental: Artificial Intelligence Mobile High Resolution Microendoscope (AI-mHRME) imagingAll subjects will receive White Light Imaging (WLI) and Lugol's Chromoendoscopy (LCE), the current standard of care (SOC) procedure. Following LCE, all subjects will receive the artificial intelligence (AI) mobile high-resolution microendoscopy (mHRME) imaging with Proflavine Hemisulfate of any LCE abnormal and LCE normal areas (4:1 ratio). For both WLI and LCE, we will record the subjective clinician read (neoplastic, non-neoplastic), the confidence level in their diagnoses (high, low), and the action plan (biopsy vs. no biopsy vs. treat). With the AI-mHRME, we will image the same LCE abnormal and normal areas and record the software read, the clinician confidence level, and action plan. Finally, the imaged LCE abnormal areas will be biopsied or resected, and evaluated by a pathologist.
Primary Outcome Measure
Clinical Impact [ Time Frame: 18 months ]
Central Contacts
- Mimi C Tan, MD, MPH7137980950
- Adrianna O Maliga, MPH(713) 798-5987
Locations (2)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Baylor St. Luke's Medical Center | Houston | Texas | 77030 | Mimi C Tan, MD, MPH (PRINCIPAL_INVESTIGATOR) |
| Ben Taub Hospital (Harris Health Systems) | Houston | Texas | 77030 | Mimi C Tan, MD, MPH (PRINCIPAL_INVESTIGATOR) |