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NCT04392167COMPLETEDanonymous

Advanced Angle-Resolved Low Coherence Interferometry (a/LCI) Systems for Improved Clinical Utility: An a/LCI-Optical Coherence Tomography (OCT) Pilot Study

Sponsor

Source record

Duke University

Phase

Source record

NA

Modality

AI-normalized

medical device

Target

AI-normalized

a/LCI-OCT imaging probe, esophageal biopsy

Indication / condition

AI-normalized

Barrett Esophagus

Intervention

Source record

a/LCI-OCT imaging probe, esophageal biopsy

Source & freshness

Source record

NCT ID

NCT04392167

Original source

ClinicalTrials.gov

Source last updated

Nov 28, 2023

Ingested at

Jun 09, 2026

Internal sync

Jun 09, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT04392167

Title

Advanced Angle-Resolved Low Coherence Interferometry (a/LCI) Systems for Improved Clinical Utility: An a/LCI-Optical Coherence Tomography (OCT) Pilot Study

Sponsor

Duke University

Status

COMPLETED

Phase

NA

Condition raw

Barrett Esophagus

Condition normalized

Barrett Esophagus

Modality raw

medical device

Modality normalized

medical device

Target raw

a/LCI-OCT imaging probe, esophageal biopsy

Target normalized

a/LCI-OCT imaging probe, esophageal biopsy

Interventions

a/LCI-OCT imaging probe, esophageal biopsy

Public preview

Source record

This study will test a newly developed dual modality probe, including optical coherence tomography (OCT) and angle-resolved low-coherence interferometry (a/LCI), in the human esophagus to determine 1) whether adequate tissue contact can be attained by the probe to acquire high quality images, and 2) to identify if these images can discern whether the imaged tissue is squamous or Barrett's Esophagus (BE) epithelium. This pilot study will test the operating characteristics of the probe and collect data for further optimization of the a/LCI-OCT device.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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