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SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

Jered P Sieren1, John D Newell1, R Graham Barr2

  • 11 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.

American Journal of Respiratory and Critical Care Medicine
|August 3, 2016
PubMed
Summary
This summary is machine-generated.

Multidetector row computed tomography (MDCT) enables detailed lung disease subtyping. The SPIROMICS quantitative CT lung assessment system (QCT-LAS) standardizes multicenter imaging for improved pulmonary metrics in chronic obstructive pulmonary disease (COPD) and asthma research.

Keywords:
asthmachronic obstructive pulmonary diseaselung imagingpulmonary airwayspulmonary parenchyma

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Medical Imaging

Background:

  • Multidetector row computed tomography (MDCT) is crucial for identifying disease subphenotypes in conditions like chronic obstructive pulmonary disease (COPD) and asthma.
  • Quantifying lung parenchyma, airway, and vascular anatomy is essential for understanding disease progression.
  • Implementing quantitative CT (QCT) in multicenter trials presents challenges due to diverse scanners and clinical settings, particularly in longitudinal studies.

Purpose of the Study:

  • To describe the quantitative CT lung assessment system (QCT-LAS) developed by SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study).
  • To demonstrate the successful implementation and adoption of the QCT-LAS in multicenter research.
  • To establish a framework for future QCT studies and create a shared resource of image-derived pulmonary metrics.

Main Methods:

  • Development of scanner-specific imaging protocols for lung assessment at total lung capacity and residual volume.
  • Inclusion of monthly standardized test object scanning for quality control.
  • Implementation of web-based tools for subject registration, protocol assignment, data transmission, and automated image interrogation for protocol adherence.

Main Results:

  • The SPIROMICS QCT-LAS has been successfully implemented and adopted by multiple multicenter studies.
  • Automated image interrogation ensures protocol adherence across diverse clinical settings and scanner types.
  • The system provides a robust framework for consistent QCT data acquisition in longitudinal studies.

Conclusions:

  • The SPIROMICS QCT-LAS provides a standardized approach for quantitative CT in multicenter lung disease research.
  • This system facilitates the reliable assessment of pulmonary metrics, aiding in subphenotype identification.
  • The established QCT-LAS serves as a foundation for future studies and contributes to a valuable shared resource of imaging data.