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Exploring Novel Biomarkers for Emphysema Detection

NCT05825261 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2025-06-13

No results posted yet for this study

Summary

The goal of this clinical trial is to evaluate whether voice or capnometry, alone or in combination with other (non invasive) biomarkers can be used to detect emphysema on chest CT-scan in people with chronic obstructive pulmonary disease (COPD). The main question it aims to answer is:

• Can a machine-learning based algorithm be developed that can classify the extent of emphysema on chest CT scan from patients with COPD, based on voice and/or capnometry.

Participants will:

* perform different voice-related tasks
* perform capnometry twice (before/after exercise)
* perform a light exercise task between tasks ( 5-sit-to-stand test)
* undergo one venipuncture

Conditions

Interventions

OTHER

voice sampling

Patients with COPD will perform several voice-related tasks and capnometry at rest. Thereafter a 5-STS will follow and the voice-related task/capnometry will be repeated

OTHER

capnometry

Patients with COPD will perform several voice-related tasks and capnometry at rest. Thereafter a 5-STS will follow and the voice-related task/capnometry will be repeated

Sponsors & Collaborators

  • Roche Pharma AG

    collaborator INDUSTRY

  • Maastricht University

    lead OTHER

Principal Investigators

  • Sami Simons, MD PhD · Maastricht University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-07
Primary Completion
2025-12-31
Completion
2026-05-31

Countries

  • Netherlands

Study Locations

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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 NCT05825261 on ClinicalTrials.gov