- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06435286
Effectiveness and Performance of an Optical Biopsy Technology for Esophageal Cancer in Brazil and the United States
Effectiveness and Performance of a Mobile, Automated, Optical Biopsy Technology for Esophageal Cancer Screening: A Clinical Study in Brazil and the United States
Study Overview
Status
Conditions
Intervention / Treatment
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:
- increase the mHRME accuracy in novices and be non-inferior to experts,
- increase user confidence among experts and novices, and
- 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
Enrollment (Estimated)
Phase
- Phase 2
Contacts and Locations
Study Contact
- Name: Adrianna O Maliga, MPH
- Phone Number: (713) 798-5987
- Email: adrianna.maliga@bcm.edu
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:
- Elisa R Baba, MD, PhD
- Phone Number: +55-11-98501-9190
- Email: erbaba@uol.com.br
-
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:
- Fauze Maluf-Filho, MD
- Phone Number: +55-11-9919-19014
- Email: fauze.maluf@terra.com.br
-
Principal Investigator:
- Fauze Maluf-Filho, MD
-
Sub-Investigator:
- Evandro Sobroza de Mello, MD
-
Contact:
- Glaucia F De Lima Pereira
- Phone Number: +55-11-3893-3535
- Email: glaucia.lima@hc.fm.usp.br
-
-
-
-
Texas
-
Houston, Texas, United States, 77030
- Recruiting
- Baylor St. Luke's Medical Center
-
Contact:
- Adrianna O Maliga, MPH
- Phone Number: 713-798-5987
- Email: adrianna.maliga@bcm.edu
-
Principal Investigator:
- Mimi C Tan, MD, MPH
-
Houston, Texas, United States, 77030
- Recruiting
- Ben Taub Hospital (Harris Health Systems)
-
Contact:
- Adrianna O Maliga, MPH
- Phone Number: 713-798-5987
- Email: adrianna.maliga@bcm.edu
-
Principal Investigator:
- Mimi C Tan, MD, MPH
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
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
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:
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:
|
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
Sponsor
Collaborators
Investigators
- Principal Investigator: Mimi C Tan, MD, MPH, Baylor College of Medicine
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Neoplasms by Site
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Head and Neck Neoplasms
- Esophageal Diseases
- Neoplasms
- Heterocyclic Compounds
- Heterocyclic Compounds, Fused-Ring
- Heterocyclic Compounds, 3-Ring
- Aminoacridines
- Acridines
- Proflavine
Other Study ID Numbers
- H-53483
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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