SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs
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 parenchym...
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creator | Sieren, Jered P Newell, Jr, John D Barr, R Graham Bleecker, Eugene R Burnette, Nathan Carretta, Elizabeth E Couper, David Goldin, Jonathan Guo, Junfeng Han, MeiLan K Hansel, Nadia N Kanner, Richard E Kazerooni, Ella A Martinez, Fernando J Rennard, Stephen Woodruff, Prescott G Hoffman, Eric A |
description | 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. |
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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.</description><identifier>ISSN: 1073-449X</identifier><identifier>EISSN: 1535-4970</identifier><identifier>DOI: 10.1164/rccm.201506-1208pp</identifier><identifier>PMID: 27482984</identifier><language>eng</language><publisher>United States: American Thoracic Society</publisher><subject>Asthma - diagnostic imaging ; Asthma - physiopathology ; Body Mass Index ; Emphysema - diagnostic imaging ; Emphysema - physiopathology ; Humans ; Lung - diagnostic imaging ; Lung - physiopathology ; Lung Diseases - diagnostic imaging ; Lung Volume Measurements - methods ; Multicenter Studies as Topic ; Multidetector Computed Tomography - methods ; Phenotype ; Predictive Value of Tests ; Pulmonary ; Pulmonary Disease, Chronic Obstructive - diagnostic imaging ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Sensitivity and Specificity</subject><ispartof>American journal of respiratory and critical care medicine, 2016-10, Vol.194 (7), p.794-806</ispartof><rights>Copyright American Thoracic Society Oct 1, 2016</rights><rights>Copyright © 2016 by the American Thoracic Society 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-1b78ebabc56cb8d2d7c704cc9e50b414de19beaff9d716a76accf8f0c7dfac603</citedby><cites>FETCH-LOGICAL-c496t-1b78ebabc56cb8d2d7c704cc9e50b414de19beaff9d716a76accf8f0c7dfac603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,4011,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27482984$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sieren, Jered P</creatorcontrib><creatorcontrib>Newell, Jr, John D</creatorcontrib><creatorcontrib>Barr, R Graham</creatorcontrib><creatorcontrib>Bleecker, Eugene R</creatorcontrib><creatorcontrib>Burnette, Nathan</creatorcontrib><creatorcontrib>Carretta, Elizabeth E</creatorcontrib><creatorcontrib>Couper, David</creatorcontrib><creatorcontrib>Goldin, Jonathan</creatorcontrib><creatorcontrib>Guo, Junfeng</creatorcontrib><creatorcontrib>Han, MeiLan K</creatorcontrib><creatorcontrib>Hansel, Nadia N</creatorcontrib><creatorcontrib>Kanner, Richard E</creatorcontrib><creatorcontrib>Kazerooni, Ella A</creatorcontrib><creatorcontrib>Martinez, Fernando J</creatorcontrib><creatorcontrib>Rennard, Stephen</creatorcontrib><creatorcontrib>Woodruff, Prescott G</creatorcontrib><creatorcontrib>Hoffman, Eric A</creatorcontrib><creatorcontrib>SPIROMICS Research Group</creatorcontrib><title>SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs</title><title>American journal of respiratory and critical care medicine</title><addtitle>Am J Respir Crit Care Med</addtitle><description>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.</description><subject>Asthma - diagnostic imaging</subject><subject>Asthma - physiopathology</subject><subject>Body Mass Index</subject><subject>Emphysema - diagnostic imaging</subject><subject>Emphysema - physiopathology</subject><subject>Humans</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - physiopathology</subject><subject>Lung Diseases - diagnostic imaging</subject><subject>Lung Volume Measurements - methods</subject><subject>Multicenter Studies as Topic</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Pulmonary</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Sensitivity and Specificity</subject><issn>1073-449X</issn><issn>1535-4970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkcFu1DAQhi0EoqXwAhyQJS5cUjxex3YuSGgFdKWtGmiREBfLcSa7qZI42E6lffsmbKmA04w03_ya0UfIa2DnAFK8D87155xBzmQGnOlxfEJOIV_lmSgUezr3TK0yIYofJ-RFjLeMAdfAnpMTroTmhRan5Od1ufl2dblZX9My-OSd72jjA72cutQ6HBIG-nWyQ2qTTe0d0rXvxylhTW9873fBjvsDTZ6Wexx8OoxI0x7pdhp28SV51tgu4quHeka-f_50s77ItldfNuuP28yJQqYMKqWxspXLpat0zWvlFBPOFZizSoCoEYoKbdMUtQJplbTONbphTtWNdZKtzsiHY-44VT3Wy9HBdmYMbW_DwXjbmn8nQ7s3O39ncqaEzJeAdw8Bwf-aMCbTt9Fh19kB_RQNaC6VAC3kjL79D731Uxjm935TwDQHNVP8SLngYwzYPB4DzCzqzKLOHNWZRV1Zzktv_n7jceWPq9U9c0KY5Q</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Sieren, Jered P</creator><creator>Newell, Jr, John D</creator><creator>Barr, R Graham</creator><creator>Bleecker, Eugene R</creator><creator>Burnette, Nathan</creator><creator>Carretta, Elizabeth E</creator><creator>Couper, David</creator><creator>Goldin, Jonathan</creator><creator>Guo, Junfeng</creator><creator>Han, MeiLan K</creator><creator>Hansel, Nadia N</creator><creator>Kanner, Richard E</creator><creator>Kazerooni, Ella A</creator><creator>Martinez, Fernando J</creator><creator>Rennard, Stephen</creator><creator>Woodruff, Prescott G</creator><creator>Hoffman, Eric A</creator><general>American Thoracic Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161001</creationdate><title>SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs</title><author>Sieren, Jered P ; Newell, Jr, John D ; Barr, R Graham ; Bleecker, Eugene R ; Burnette, Nathan ; Carretta, Elizabeth E ; Couper, David ; Goldin, Jonathan ; Guo, Junfeng ; Han, MeiLan K ; Hansel, Nadia N ; Kanner, Richard E ; Kazerooni, Ella A ; Martinez, Fernando J ; Rennard, Stephen ; Woodruff, Prescott G ; Hoffman, Eric A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c496t-1b78ebabc56cb8d2d7c704cc9e50b414de19beaff9d716a76accf8f0c7dfac603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Asthma - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of respiratory and critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sieren, Jered P</au><au>Newell, Jr, John D</au><au>Barr, R Graham</au><au>Bleecker, Eugene R</au><au>Burnette, Nathan</au><au>Carretta, Elizabeth E</au><au>Couper, David</au><au>Goldin, Jonathan</au><au>Guo, Junfeng</au><au>Han, MeiLan K</au><au>Hansel, Nadia N</au><au>Kanner, Richard E</au><au>Kazerooni, Ella A</au><au>Martinez, Fernando J</au><au>Rennard, Stephen</au><au>Woodruff, Prescott G</au><au>Hoffman, Eric A</au><aucorp>SPIROMICS Research Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs</atitle><jtitle>American journal of respiratory and critical care medicine</jtitle><addtitle>Am J Respir Crit Care Med</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>194</volume><issue>7</issue><spage>794</spage><epage>806</epage><pages>794-806</pages><issn>1073-449X</issn><eissn>1535-4970</eissn><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.</abstract><cop>United States</cop><pub>American Thoracic Society</pub><pmid>27482984</pmid><doi>10.1164/rccm.201506-1208pp</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; American Thoracic Society (ATS) Journals Online; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection; Journals@Ovid Complete |
subjects | Asthma - diagnostic imaging Asthma - physiopathology Body Mass Index Emphysema - diagnostic imaging Emphysema - physiopathology Humans Lung - diagnostic imaging Lung - physiopathology Lung Diseases - diagnostic imaging Lung Volume Measurements - methods Multicenter Studies as Topic Multidetector Computed Tomography - methods Phenotype Predictive Value of Tests Pulmonary Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - physiopathology Sensitivity and Specificity |
title | SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs |
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