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

TitleSPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.
Publication TypePublication
AuthorsSieren JP, Newell JD, R Barr G, Bleecker ER, Burnette N, Carretta EE, Couper D, Goldin J, Guo J, Han MK, Hansel NN, Kanner RE, Kazerooni EA, Martinez FJ, Rennard S, Woodruff PG, Hoffman EA
Corporate AuthorsSPIROMICS Research Group
JournalAm J Respir Crit Care Med
Date Published2016 10 01
Keywordsasthma, Body Mass Index, emphysema, Humans, Lung, Lung Diseases, Lung Volume Measurements, Multicenter Studies as Topic, Multidetector Computed Tomography, phenotype, Predictive Value of Tests, Pulmonary Disease, Chronic Obstructive, Sensitivity and Specificity

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.

Alternate JournalAm. J. Respir. Crit. Care Med.
PubMed ID27482984
PubMed Central IDPMC5074650
Grant ListHHSN268200900019C / HL / NHLBI NIH HHS / United States
S10 OD018526 / OD / NIH HHS / United States
P30 ES005605 / ES / NIEHS NIH HHS / United States
R01 HL077612 / HL / NHLBI NIH HHS / United States
HHSN268200900015C / HL / NHLBI NIH HHS / United States
HHSN268200900016C / HL / NHLBI NIH HHS / United States
HHSN268200900018C / HL / NHLBI NIH HHS / United States
P30 DK054759 / DK / NIDDK NIH HHS / United States
HHSN268200900017C / HL / NHLBI NIH HHS / United States
HHSN268200900020C / HL / NHLBI NIH HHS / United States
HHSN268200900013C / HL / NHLBI NIH HHS / United States
HHSN268200900014C / HL / NHLBI NIH HHS / United States
Manuscript Lead/Corresponding Author Affiliation: 
Reading Center: Radiology (University of Iowa)
Manuscript Status: 
Published and Public