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Computed tomography as a biomarker in clinical trials imaging
1Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA. jgoldin@mednet.ucla.edu
Novel computed tomography (CT) biomarkers show promise for chronic obstructive pulmonary disease and diffuse parenchymal lung disease drug development. Challenges in standardization, radiation, and clinical outcome correlation need addressing for future implementation.
Area of Science:
- Pulmonary medicine
- Radiology
- Biomarker discovery
Background:
- Increasing interest in novel pulmonary biomarkers for chronic obstructive pulmonary disease (COPD) and diffuse parenchymal lung disease (DPLD).
- Computed tomography (CT) offers valuable structural and functional lung information.
- Need for biomarkers to aid drug and device development in respiratory diseases.
Purpose of the Study:
- To review current CT-based biomarkers for COPD and DPLD.
- To discuss challenges in biomarker development, validation, and multicenter trial implementation.
- To explore the future potential of CT biomarkers in predicting disease progression and treatment response.
Main Methods:
- Review of existing literature on CT-based pulmonary biomarkers.
- Discussion of implementation challenges including standardization and radiation concerns.
- Analysis of the relationship between CT biomarkers and clinical outcomes.
Main Results:
- CT scans provide detailed lung information but face standardization issues across sites and time.
- Radiation exposure is a significant consideration for repeated CT imaging.
- Limited data currently exists on the correlation of CT biomarkers with disease progression, severity, subtypes, or therapy response.
Conclusions:
- CT biomarkers hold future potential for predicting disease progression and instability in COPD and DPLD.
- Further research is needed to validate CT biomarkers and understand their variability.
- CT biomarkers may guide the development and application of novel therapies for lung diseases.
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