Effectiveness and Performance of an Optical Biopsy Technology for Esophageal Cancer in Brazil and the United States

February 27, 2026 updated by: Mimi Chang Tan, Baylor College of Medicine

Effectiveness and Performance of a Mobile, Automated, Optical Biopsy Technology for Esophageal Cancer Screening: A Clinical Study in Brazil and the United States

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.

Study Overview

Detailed Description

The investigators' hypothesis is that the artificial intelligence (AI) mobile, high-resolution microendoscope (mHRME) will increase the accuracy of Lugol's chromoendoscopy (LCE) in endoscopic cancer detection in low- and middle-income countries (LMICs) and high-income countries (HICs).

Objective 1: The investigators' first objective is to evaluate the diagnostic performance, efficiency, and impact of this automated optical biopsy device. In a single-arm study (n=200) of high-risk subjects undergoing LCE followed by AI-mHRME for ESCN screening in Brazil and the US, the investigators will evaluate the diagnostic performance and efficiency of this automated optical biopsy device.

The investigators' other hypotheses are that the AI-mHRME will:

  1. increase the mHRME accuracy in novices and be non-inferior to experts,
  2. increase user confidence among experts and novices, and
  3. increase the LCE efficiency and impact byreducing biopsies and second procedures.

The investigators will compare the accuracy of the AI-mHRME software read to novice and expert clinicians' subjective reading to gold-standard histopathology by an expert gastrointestinal (GI) pathologist. For clinician confidence and clinical impact, they will determine the clinician's confidence level in the software diagnosis and the potential clinical impact of this diagnosis among novice and expert endoscopists using AI-mHRME. The clinician reads will be part of the mHRME procedure and treatment "plan" (biopsy vs. not biopsy vs. treat). Clinicians are not considered study subjects in objective 1. The clinical impact will be determined by the change in the clinician's decision in the treatment "plan" before and after the AI-mHRME read. For efficiency (biopsy saving and diagnostic yield), they will determine the number of patients spared any biopsy due to AI-mHRME. The investigators will compare the diagnostic yield of AI-mHRME and LCE vs. LCE alone (diagnostic yield = neoplastic biopsies/total number of biopsies obtained in biopsied patients).

Objective 2: This objective will have three study populations, with a total sample size of n=50 subjects. To determine barriers and facilitators to implementing AI-mHRME, the team will form Health Sector Stakeholder Advisory Boards (HS-SAB) in the US and Brazil as the first study population. The HS-SABs will include academic partners, primary care providers referring patients, doctors performing esophageal cancer screening, hospital administrators, and patient and caregiver representatives. The HS-SAB sample size will be 6-10 members in the US and Brazil each, a standard number of participants for research advisory boards. The team will collect feedback and input through focus group discussions (FGDs) at 6 time points across the project period per HS-SAB. FGD objectives will match the research stage: clinical trial planning (recruitment and retention plan refinement), data collection (stakeholders identification), result interpretation, and dissemination.

For the second study population, the team will conduct semi-structured individual interviews with implementers to assess barriers and facilitators to implementing AI-assisted cancer technologies (n=40). Interviews will be with patients and caregivers(n=10), GI clinicians (n=10), primary care physicians (n=10), and hospital and health leadership (n=10).

There will be surveys with endoscopists (n=40) at the participating sites to understand their thoughts on HRME.

Study Type

Interventional

Enrollment (Estimated)

200

Phase

  • Phase 2

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Mimi C Tan, MD, MPH
  • Phone Number: 7137980950
  • Email: mc2@bcm.edu

Study Locations

    • São Paulo
      • Barretos, São Paulo, Brazil, 14784-400
        • Recruiting
        • Hospital de Cancer de Barretos - Fundacao Pio XII
        • Contact:
        • Principal Investigator:
          • Elisa R Baba, MD, PhD
        • Sub-Investigator:
          • Claudio Hashimoto, MD, MBA
      • São Paulo, São Paulo, Brazil, 01246-000
        • Recruiting
        • Instituto do Cancer do Estado de Sao Paulo
        • Contact:
        • Principal Investigator:
          • Fauze Maluf-Filho, MD
        • Sub-Investigator:
          • Evandro Sobroza de Mello, MD
        • Contact:
    • Texas
      • Houston, Texas, United States, 77030
        • Recruiting
        • Baylor St. Luke's Medical Center
        • Contact:
        • Principal Investigator:
          • Mimi C Tan, MD, MPH
      • Houston, Texas, United States, 77030
        • Recruiting
        • Ben Taub Hospital (Harris Health Systems)
        • Contact:
        • Principal Investigator:
          • Mimi C Tan, MD, MPH

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Outpatients undergoing routine (standard of care) Lugol's chromoendoscopic screening for squamous cell neoplasia will be eligible for enrollment, including patients with a known history of head/neck squamous cell cancer; heavy smoking and alcohol, other dietary or geographic risk factors or prior dysplasia
  • Patients >18 years old.
  • Patients of any sex or gender.
  • Patients who are willing and able to give informed consent.

Exclusion Criteria:

  • Allergy or prior reaction to the fluorescent contrast agent proflavine hemisulfate.
  • Patients who are unable to give informed consent.
  • Known advanced squamous cell carcinoma of the distal esophagus or dysplastic/suspected malignant esophageal lesion greater than or equal to 2 cm in size not amenable to endoscopic therapy.
  • Patient unable to undergo routine endoscopy with biopsy:
  • Women who are pregnant or breast feeding,
  • Prothrombin time greater than 50% of control; PTT greater than 50 sec, or INR greater than 2.0,
  • Inability to tolerate sedated upper endoscopy due to cardio-pulmonary instability or other significant medical issues.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
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.
Approximately 5-10 ml of proflavine hemisulfate (0.01%) will be sprayed on the esophageal mucosa.
Other Names:
  • Proflavine
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.
Other Names:
  • AI-mHRME

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical Impact
Time Frame: 18 months
Change in clinical plan ('biopsy vs. no biopsy vs. treat') following AI-mHRME.
18 months
Performance Characteristics
Time Frame: 18 months
Sensitivity, specificity, positive and negative predictive values of AI-mHRME.
18 months
Procedure Efficiency
Time Frame: 18 months
Efficiency in the number of biopsies saved, procedures saved.
18 months
Clinician Confidence
Time Frame: 18 months
Confidence of expert and novice clinicians in clinically interpreting mHRME (pre- and post-use of AI-mHRME).
18 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 17, 2025

Primary Completion (Estimated)

March 1, 2027

Study Completion (Estimated)

March 1, 2027

Study Registration Dates

First Submitted

May 24, 2024

First Submitted That Met QC Criteria

May 24, 2024

First Posted (Actual)

May 30, 2024

Study Record Updates

Last Update Posted (Actual)

March 2, 2026

Last Update Submitted That Met QC Criteria

February 27, 2026

Last Verified

September 1, 2025

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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