{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:27:01Z","timestamp":1777933621425,"version":"3.51.4"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"1118","license":[{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>To evaluate CT-ventilation imaging (CTVI) within a well-characterized, healthy cohort with no respiratory symptoms and examine the correlation between CTVI and concurrent pulmonary function test (PFT).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>CT scans and PFTs from 77 Caucasian participants in the NORM dataset (clinicaltrials.gov NCT00848406) were analyzed. CTVI was generated using the robust Integrated Jacobian Formulation (IJF) method. IJF estimated total lung capacity (TLC) was computed from CTVI. Bias-adjusted Pearson\u2019s correlation between PFT and IJF-based TLC was computed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>IJF- and PFT-measured TLC showed a good correlation for both males and females [males: 0.657, 95%\u2009CI (0.438\u20130.797); females: 0.667, 95%\u2009CI (0.416\u20130.817)]. When adjusting for age, height, smoking, and abnormal CT scan, correlation moderated [males: 0.432, 95%\u2009CI (0.129\u20130.655); females: 0.540, 95%\u2009CI (0.207\u20130.753)]. Visual inspection of CTVI revealed participants who had functional defects, despite the fact that all participant had normal high-resolution CT scan.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion:<\/jats:title>\n                  <jats:p>In this study, we demonstrate that IJF computed CTVI has good correlation with concurrent PFT in a well-validated patient cohort with no respiratory symptoms.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge:<\/jats:title>\n                  <jats:p>IJF-computed CTVI\u2019s overall numerical robustness and consistency with PFT support its potential as a method for providing spatiotemporal assessment of high and low function areas on volumetric non-contrast CT scan.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1259\/bjr.20201218","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T20:38:58Z","timestamp":1608064738000},"source":"Crossref","is-referenced-by-count":6,"title":["An assessment of the correlation between robust CT-derived ventilation and pulmonary function test in a cohort with no respiratory symptoms"],"prefix":"10.1093","volume":"94","author":[{"given":"Girish B","family":"Nair","sequence":"first","affiliation":[{"name":"Division of Pulmonary and Critical Care, Beaumont Health, OUWB School of Medicine , Auburn Hills, MI , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig J","family":"Galban","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Michigan , Ann Arbor, MI , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sayf","family":"Al-Katib","sequence":"additional","affiliation":[{"name":"Department of Radiology and Molecular Imaging, Beaumont Health, OUWB School of Medicine , Auburn Hills, MI , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Podolsky","sequence":"additional","affiliation":[{"name":"Division of Informatics & Biostatistics, Beaumont Research Institute, Beaumont Health , Beaumont, TX , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maarten","family":"van den Berge","sequence":"additional","affiliation":[{"name":"Department of Pulmonary Disease, University Medical Center Groningen , Groningen , The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig","family":"Stevens","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Beaumont Health, OUWB School of Medicine , Auburn Hills, MI , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0523-487X","authenticated-orcid":false,"given":"Edward","family":"Castillo","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Beaumont Health, OUWB School of Medicine , Auburn Hills, MI , USA"},{"name":"Department of Computational and Applied Mathematics, Rice University , Houston, TX , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,12,15]]},"reference":[{"key":"2024050215502295200_b1","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1164\/rccm.201711-2174OC","article-title":"Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis","volume":"198","author":"Jacob","year":"2018","journal-title":"Am J Respir Crit Care 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