title: SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.
abstract: 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.
authors.affiliation: 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.
authors.forename: Jered P
authors.initials: JP
authors.lastname: Sieren
authors.affiliation: 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.
authors.forename: John D
authors.initials: JD
authors.lastname: Newell
authors.affiliation: 2 Department of Medicine and Department of Epidemiology, Columbia University College of Medicine, New York, New York.
authors.forename: R Graham
authors.initials: RG
authors.lastname: Barr
authors.affiliation: 3 Center for Human Genomics and Personalized Medicine, Wake Forest University Health Sciences, Winston-Salem, North Carolina.
authors.forename: Eugene R
authors.initials: ER
authors.lastname: Bleecker
authors.affiliation: 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.
authors.forename: Nathan
authors.initials: N
authors.lastname: Burnette
authors.affiliation: 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.
authors.forename: Elizabeth E
authors.initials: EE
authors.lastname: Carretta
authors.affiliation: 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.
authors.forename: David
authors.initials: D
authors.lastname: Couper
authors.affiliation: 5 Department of Radiology, University of California Los Angeles, Los Angeles, California.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Goldin
authors.affiliation: 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.
authors.forename: Junfeng
authors.initials: J
authors.lastname: Guo
authors.affiliation: 6 Department of Internal Medicine and.
authors.forename: MeiLan K
authors.initials: MK
authors.lastname: Han
authors.affiliation: 7 Department of Medicine, The Johns Hopkins University, Baltimore, Maryland.
authors.forename: Nadia N
authors.initials: NN
authors.lastname: Hansel
authors.affiliation: 8 Department of Internal Medicine, University of Utah, Salt Lake City, Utah.
authors.forename: Richard E
authors.initials: RE
authors.lastname: Kanner
authors.affiliation: 9 Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan.
authors.forename: Ella A
authors.initials: EA
authors.lastname: Kazerooni
authors.affiliation: 10 Department of Medicine, Weill Cornell Medical College, New York, New York.
authors.forename: Fernando J
authors.initials: FJ
authors.lastname: Martinez
authors.affiliation: 11 Department of Internal Medicine, University of Nebraska, Omaha, Nebraska; and.
authors.forename: Stephen
authors.initials: S
authors.lastname: Rennard
authors.affiliation: 12 Department of Medicine, University of California San Francisco, San Francisco, California.
authors.forename: Prescott G
authors.initials: PG
authors.lastname: Woodruff
authors.affiliation: 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa.
authors.forename: Eric A
authors.initials: EA
authors.lastname: Hoffman
mesh_terms: D001249:Asthma / Q000000981:diagnostic imaging* / Q000503:physiopathology; D015992:Body Mass Index; D004646:Emphysema / Q000000981:diagnostic imaging* / Q000503:physiopathology; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging* / Q000503:physiopathology; D008171:Lung Diseases / Q000000981:diagnostic imaging; D008176:Lung Volume Measurements / Q000379:methods; D015337:Multicenter Studies as Topic; D061330:Multidetector Computed Tomography / Q000379:methods*; D010641:Phenotype; D011237:Predictive Value of Tests; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging* / Q000503:physiopathology; D012680:Sensitivity and Specificity
keywords: asthma; chronic obstructive pulmonary disease; lung imaging; pulmonary airways; pulmonary parenchyma