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Collection of Sputum and Labeling for Lung Cancer

NCT03457415 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2025-04-01

No results posted yet for this study

Summary

The primary objective of this study is to compare Assay results to diagnoses determined by currently accepted standards for lung cancer detection. This will be accomplished by analysis of sputum samples from three cohorts including healthy Participants, high risk Participants, and cancer patient Participants using the Assay as developed in accordance with findings of bioAffinity protocol BA-001 to confirm assay results. Adjustments will be made as necessary to finalize Assay design for clinical trials and commercialization.

The secondary objective of this study is to determine optimum methods for collection of sputum samples. Three sputum collection methods used by high risk Participants will be compared. Individuals at high risk for lung cancer will be assigned to one of three sputum collection cohorts including (1) acapella® airway assist device under medical supervision to obtain a single sputum sample; (2) acapella® airway assist device to obtain a sputum sample over a three-day period, and (3) individuals who under medical supervision will collect a single sputum sample assisted by nebulization of between 0.9% to 10% hypertonic saline. Samples will be compared to determine the optimal collection method for sample analysis by CyPath® Lung.

Conditions

Sponsors & Collaborators

  • bioAffinity Technologies Inc.

    lead INDUSTRY

Eligibility

Min Age
21 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-03-01
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03457415 on ClinicalTrials.gov