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 — DRUG
    Approximately 5-10 ml of proflavine hemisulfate (0.01%) will be sprayed on the esophageal mucosa.
  • Artificial Intelligence Mobile High-Resolution Microendoscope — DEVICE
    The 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) imaging
    All 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

Locations (2)

FacilityCityStateZIPSite coordinators
Baylor St. Luke's Medical CenterHoustonTexas77030
Adrianna O Maliga, MPH
713-798-5987
Mimi C Tan, MD, MPH (PRINCIPAL_INVESTIGATOR)
Ben Taub Hospital (Harris Health Systems)HoustonTexas77030
Adrianna O Maliga, MPH
713-798-5987
Mimi C Tan, MD, MPH (PRINCIPAL_INVESTIGATOR)

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