Clinical trial Recruiting at 4 sites Phase 2 Interventional Ages 18 and up

Using AI technology to improve esophageal cancer detection

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

Run by Baylor College of Medicine · NCT06435286 · Data updated 2026-11-12

This study is testing if a new AI tool can help doctors find esophageal cancer more accurately in high-risk patients during routine screenings.

Quick facts

PhasePhase 2
Study typeInterventional
Ages18 Years and up
SexAll
Enrollment200 (estimated)
SponsorBaylor College of Medicine
Academic / other
Locations4 sites (Houston, Texas and 3 other locations)
StatusRecruiting
StartedFebruary 17, 2025
Main results expectedMarch 1, 2027
Study endsMarch 1, 2027
Registry record updatedMarch 2, 2026
Trial IDNCT06435286 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates include outpatients over 18 years old with a history of squamous cell neoplasia or related risk factors undergoing routine screening.

Probably not a fit

Patients with advanced squamous cell carcinoma or those unable to undergo routine endoscopy will not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This clinical trial evaluates the effectiveness of an artificial intelligence mobile high-resolution microendoscope (AI-mHRME) combined with Lugol's chromoendoscopy (LCE) for detecting esophageal squamous cell neoplasia in patients at high risk. The study will involve 200 outpatients undergoing routine LCE screening, assessing the diagnostic performance and efficiency of the AI-mHRME compared to traditional methods. The trial aims to enhance the accuracy of cancer detection, particularly among novice clinicians, and reduce unnecessary biopsies. It will also measure clinician confidence and the clinical impact of AI-assisted diagnoses.

Why it matters

Potential benefit: If successful, this technology could lead to earlier and more accurate detection of esophageal cancer, potentially improving patient outcomes.

How similar studies have gone: Previous studies have shown promising results with similar AI-assisted diagnostic approaches, indicating potential for success in this trial.

Who can join: the full rules

Show full inclusion / exclusion criteria
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.

Where it's running

  • Baylor St. Luke's Medical Center
    Houston, Texas, United States
    Recruiting
  • Ben Taub Hospital (Harris Health Systems)
    Houston, Texas, United States
    Recruiting
  • Hospital de Cancer de Barretos - Fundacao Pio XII
    Barretos, São Paulo, Brazil
    Recruiting
  • Instituto do Câncer do Estado de São Paulo
    São Paulo, São Paulo, Brazil
    Recruiting

Study contacts

  • Principal investigator: Mimi C Tan, MD, MPH — Baylor College of Medicine
  • Study coordinator: Mimi C Tan, MD, MPH
  • Email: mc2@bcm.edu
  • Phone: 7137980950

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.