SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs

Jered P Sieren; John D Newell Jr; R Graham Barr; Eugene R Bleecker; Nathan Burnette; Elizabeth E Carretta; David Couper; Jonathan Goldin; Junfeng Guo; MeiLan K Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Fernando J Martinez; Stephen Rennard; Prescott G Woodruff; Eric A Hoffman

doi:10.1164/rccm.201506-1208PP

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SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs

Journal article

Open access

Peer reviewed

SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs

Jered P Sieren, John D Newell Jr, R Graham Barr, Eugene R Bleecker, Nathan Burnette, Elizabeth E Carretta, David Couper, Jonathan Goldin, Junfeng Guo, MeiLan K Han, …

American journal of respiratory and critical care medicine, Vol.194(7), pp.794-806

10/01/2016

DOI: 10.1164/rccm.201506-1208PP

PMCID: PMC5074650

PMID: 27482984

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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.

Phenotype

Body Mass Index

Emphysema - diagnostic imaging

Predictive Value of Tests

Asthma - physiopathology

Humans

Multidetector Computed Tomography - methods

Lung - diagnostic imaging

Lung - physiopathology

Pulmonary Disease, Chronic Obstructive - physiopathology

Asthma - diagnostic imaging

Lung Diseases - diagnostic imaging

Lung Volume Measurements - methods

Emphysema - physiopathology

Multicenter Studies as Topic

Sensitivity and Specificity

Pulmonary Disease, Chronic Obstructive - diagnostic imaging

Details

Title: Subtitle: SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs
Creators: Jered P Sieren - 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
John D Newell Jr - 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
R Graham Barr - 2 Department of Medicine and Department of Epidemiology, Columbia University College of Medicine, New York, New York
Eugene R Bleecker - 3 Center for Human Genomics and Personalized Medicine, Wake Forest University Health Sciences, Winston-Salem, North Carolina
Nathan Burnette - 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
Elizabeth E Carretta - 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
David Couper - 4 Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
Jonathan Goldin - 5 Department of Radiology, University of California Los Angeles, Los Angeles, California
Junfeng Guo - 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
MeiLan K Han - 6 Department of Internal Medicine and
Nadia N Hansel - 7 Department of Medicine, The Johns Hopkins University, Baltimore, Maryland
Richard E Kanner - 8 Department of Internal Medicine, University of Utah, Salt Lake City, Utah
Ella A Kazerooni - 9 Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan
Fernando J Martinez - 10 Department of Medicine, Weill Cornell Medical College, New York, New York
Stephen Rennard - 11 Department of Internal Medicine, University of Nebraska, Omaha, Nebraska; and
Prescott G Woodruff - 12 Department of Medicine, University of California San Francisco, San Francisco, California
Eric A Hoffman - 1 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
Resource Type: Journal article
Publication Details: American journal of respiratory and critical care medicine, Vol.194(7), pp.794-806
DOI: 10.1164/rccm.201506-1208PP
PMID: 27482984
PMCID: PMC5074650
NLM abbreviation: Am J Respir Crit Care Med
ISSN: 1073-449X
eISSN: 1535-4970
Publisher: United States
Grant note: HHSN268200900017C / NHLBI NIH HHS P30 ES005605 / NIEHS NIH HHS HHSN268200900019C / NHLBI NIH HHS HHSN268200900020C / NHLBI NIH HHS HHSN268200900015C / NHLBI NIH HHS HHSN268200900013C / NHLBI NIH HHS R01 HL112986 / NHLBI NIH HHS P30 CA086862 / NCI NIH HHS HHSN268200900016C / NHLBI NIH HHS HHSN268200900018C / NHLBI NIH HHS HHSN268200900014C / NHLBI NIH HHS S10 OD018526 / NIH HHS R01 HL077612 / NHLBI NIH HHS P30 DK054759 / NIDDK NIH HHS
Language: English
Date published: 10/01/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984051595402771

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