{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T11:57:46Z","timestamp":1775476666638,"version":"3.50.1"},"reference-count":48,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2017,12,5]],"date-time":"2017-12-05T00:00:00Z","timestamp":1512432000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Respir Care"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:sec>\n                    <jats:title>BACKGROUND:<\/jats:title>\n                    <jats:p>With increased survival rates and the consequent emergence of an adult population with cystic fibrosis (CF), developing novel tools for periodic evaluations of these patients has become a new challenge. Thus, we sought to determine the contribution of lung-volume quantification using multidetector computed tomography (CT) in adults with CF and to investigate the association between structural changes and functional abnormalities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>This was a cross-sectional study in which 21 adults with CF and 22 control subjects underwent lung-volume quantification using multidetector CT. Voxel densities were divided into 4 bands: \u22121,000 to \u2212900 Hounsfield units (HU) (hyperaerated region), \u2212900 to \u2212500 HU (normally aerated region), \u2212500 to \u2212100 HU (poorly aerated region), and \u2212100 to 100 HU (non-aerated region). In addition, all participants performed pulmonary function tests including spirometry, body plethysmography, diffusion capacity for carbon monoxide, and the forced oscillation technique.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      Adults with CF had more non-aerated regions and poorly aerated regions with lung-volume quantification using multidetector CT than controls. Despite these abnormalities, total lung volume measured by lung-volume quantification using multidetector CT did not differ between subjects and controls. Total lung capacity (TLC) measured by body plethysmography correlated with both total lung volume (r\n                      <jats:sub>s<\/jats:sub>\n                      = 0.71,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .001) and total air volume (r\n                      <jats:sub>s<\/jats:sub>\n                      = 0.71,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .001) as measured with lung-volume quantification using multidetector CT. While the hyperaerated regions correlated with the functional markers of gas retention in the lungs (increased residual volume (RV) and RV\/TLC ratio), the poorly aerated regions correlated with the resistive parameters measured by the forced oscillation technique (increased intercept resistance and mean resistance). We also observed a correlation between normally aerated regions and highest pulmonary diffusion values (r\n                      <jats:sub>s<\/jats:sub>\n                      = 0.68,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>In adults with CF, lung-volume quantification using multidetector CT can destimate the lung volumes of compartments with different densities and determine the aerated and non-aerated contents of the lungs; furthermore, lung-volume quantification using multidetector CT is clearly related to pulmonary function parameters.<\/jats:p>\n                  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Janeiro, Brazil."},{"name":"Rehabilitation Sciences Post-Graduation Program, Augusto Motta University Center, Rio de Janeiro, Brazil."},{"name":"Postgraduate Programme in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alysson R S","family":"Carvalho","sequence":"additional","affiliation":[{"name":"Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil."},{"name":"Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan R M","family":"Guimar\u00e3es","sequence":"additional","affiliation":[{"name":"Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u00f4nica C","family":"Firmida","sequence":"additional","affiliation":[{"name":"Cystic Fibrosis Centre, Piquet Carneiro Polyclinic, State University of Rio de Janeiro, Rio de Janeiro, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcos C S","family":"Castro","sequence":"additional","affiliation":[{"name":"Cystic Fibrosis Centre, Piquet Carneiro Polyclinic, State University of Rio de Janeiro, Rio de Janeiro, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Mogami","sequence":"additional","affiliation":[{"name":"Postgraduate Programme in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil."},{"name":"Department of Radiology, State University of Rio de 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