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Reference standard and statistical model for intersite and temporal comparisons of CT attenuation in a multicenter
J P Sieren1, J D Newell, P F Judy
1Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Medical Physics
|September 11, 2012
Summary
A custom CT Test Object detected significant variations in computed tomography (CT) scanner performance across multiple sites. This tool helps identify and correct anomalies in CT attenuation measurements for large studies like COPDGene.
Area of Science:
- Medical Imaging Physics
- Radiology
- Pulmonary Medicine
Background:
- Multicenter studies require consistent data acquisition.
- Variability in computed tomography (CT) scanner performance can impact research findings.
- The COPDGene study collects crucial pulmonary CT data for genetic epidemiology.
Purpose of the Study:
- To detect and analyze anomalies in CT scanner performance over time.
- To ensure CT attenuation measurement accuracy for the COPDGene study.
- To establish a method for tracking CT scanner consistency across multiple sites.
Main Methods:
- Development of a custom CT reference standard "Test Object" with materials simulating lung tissue, air, water, and acrylic.
- Scanning of 19 Test Objects across 42 CT scanners at 20 sites over 17 months.
- Statistical analysis using a mixed linear model to assess influences of reconstruction kernels, tube current, scanner models, and temporal consistency.
Main Results:
- Significant differences in CT attenuation were observed based on reconstruction kernels, tube current, CT scanner models, and temporal consistency.
- Lung equivalent foam and internal air materials showed significant variations between different scanner settings and models.
- No significant effects were found when comparing different examples of the Test Objects against reference scans, indicating inter-object consistency.
Conclusions:
- The developed CT Test Object effectively detects significant scanner-induced alterations in CT attenuation relevant to lung density measurements.
- This analysis method can identify CT scanner anomalies and statistically account for scanner variations and temporal changes in multicenter trials.
- Understanding and modeling individual scanner performance is crucial for maintaining data integrity in large-scale pulmonary CT studies.

