| Autor: |
Sieren JP; 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa., Newell JD Jr; 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa., Barr RG; 2 Department of Medicine and Department of Epidemiology, Columbia University College of Medicine, New York, New York., Bleecker ER; 3 Center for Human Genomics and Personalized Medicine, Wake Forest University Health Sciences, Winston-Salem, North Carolina., Burnette N; 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa., Carretta EE; 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina., Couper D; 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina., Goldin J; 5 Department of Radiology, University of California Los Angeles, Los Angeles, California., Guo J; 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa., Han MK; 6 Department of Internal Medicine and., Hansel NN; 7 Department of Medicine, The Johns Hopkins University, Baltimore, Maryland., Kanner RE; 8 Department of Internal Medicine, University of Utah, Salt Lake City, Utah., Kazerooni EA; 9 Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan., Martinez FJ; 10 Department of Medicine, Weill Cornell Medical College, New York, New York., Rennard S; 11 Department of Internal Medicine, University of Nebraska, Omaha, Nebraska; and., Woodruff PG; 12 Department of Medicine, University of California San Francisco, San Francisco, California., Hoffman EA; 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa. |
| Abstrakt: |
Multidetector row computed tomography (MDCT) is increasingly taking a central role in identifying subphenotypes within chronic obstructive pulmonary disease (COPD), asthma, and other lung-related disease populations, allowing for the quantification of the amount and distribution of altered parenchyma along with the characterization of airway and vascular anatomy. The embedding of quantitative CT (QCT) into a multicenter trial with a variety of scanner makes and models along with the variety of pressures within a clinical radiology setting has proven challenging, especially in the context of a longitudinal study. SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), sponsored by the National Institutes of Health, has established a QCT lung assessment system (QCT-LAS), which includes scanner-specific imaging protocols for lung assessment at total lung capacity and residual volume. Also included are monthly scanning of a standardized test object and web-based tools for subject registration, protocol assignment, and data transmission coupled with automated image interrogation to assure protocol adherence. The SPIROMICS QCT-LAS has been adopted and contributed to by a growing number of other multicenter studies in which imaging is embedded. The key components of the SPIROMICS QCT-LAS along with evidence of implementation success are described herein. While imaging technologies continue to evolve, the required components of a QCT-LAS provide the framework for future studies, and the QCT results emanating from SPIROMICS and the growing number of other studies using the SPIROMICS QCT-LAS will provide a shared resource of image-derived pulmonary metrics. |
