{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T09:43:14Z","timestamp":1791020594885,"version":"4.1.0"},"reference-count":58,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Previous studies showed that contrast-enhanced (CE) morpho-functional magnetic resonance imaging (MRI) detects abnormalities in lung morphology and perfusion in patients with cystic fibrosis (CF). Novel matrix pencil decomposition MRI (MP-MRI) enables quantification of lung perfusion and ventilation without intravenous contrast agent administration.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To compare MP-MRI with established morpho-functional MRI and spirometry in patients with CF.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Thirty-nine clinically stable patients with CF (mean age 21.6\u2009\u00b1\u200910.7\u2009years, range 8\u201345\u2009years) prospectively underwent morpho-functional MRI including CE perfusion MRI, MP-MRI and spirometry. Two blinded chest radiologists assessed morpho-functional MRI and MP-MRI employing the validated chest MRI score. In addition, MP-MRI data were processed by automated software calculating perfusion defect percentage (QDP) and ventilation defect percentage (VDP).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      MP perfusion score and QDP correlated strongly with the CE perfusion score (both\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.81;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.01). MP ventilation score and VDP showed strong inverse correlations with percent predicted FEV1 (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009\u22120.75 and\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009\u22120.83;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.01). The comparison of visual and automated parameters showed that both MP perfusion score and QDP, and MP ventilation score and VDP were strongly correlated (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.74 and\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.78; both\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.01). Further, the MP perfusion score and MP ventilation score, as well as QDP and VDP were strongly correlated (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.88 and\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.86; both\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.01).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MP-MRI detects abnormalities in lung perfusion and ventilation in patients with CF without intravenous or inhaled contrast agent application, and correlates strongly with the well-established CE perfusion MRI score and spirometry. Automated analysis of MP-MRI may serve as quantitative noninvasive outcome measure for diagnostic monitoring and clinical trials.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmed.2024.1349466","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T01:01:55Z","timestamp":1717549315000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Contrast agent-free functional magnetic resonance imaging with matrix pencil decomposition to quantify abnormalities in lung perfusion and ventilation in patients with cystic fibrosis"],"prefix":"10.3389","volume":"11","author":[{"given":"Felix","family":"Doellinger","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grzegorz","family":"Bauman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jobst","family":"Roehmel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirjam","family":"Stahl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helena","family":"Posch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ingo G.","family":"Steffen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orso","family":"Pusterla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oliver","family":"Bieri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark O.","family":"Wielp\u00fctz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus A.","family":"Mall","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1306","DOI":"10.1002\/jmri.27030","article-title":"Current state of the art MRI for the longitudinal assessment of cystic fibrosis","volume":"52","author":"Woods","year":"2020","journal-title":"J Magn Reson Imaging"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"S40","DOI":"10.1002\/ppul.24931","article-title":"Novel imaging techniques for cystic fibrosis lung disease","volume":"56","author":"Goralski","year":"2021","journal-title":"Pediatr Pulmonol"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1183\/09031936.00196314","article-title":"Future trends in cystic fibrosis demography in 34 European countries","volume":"46","author":"Burgel","year":"2015","journal-title":"Eur Respir J"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S2213-2600(19)30337-6","article-title":"The future of cystic fibrosis care: a global perspective","volume":"8","author":"Bell","year":"2020","journal-title":"Lancet Respir Med"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1164\/rccm.201910-1943SO","article-title":"Cystic fibrosis: emergence of highly effective targeted therapeutics and potential clinical implications","volume":"201","author":"Mall","year":"2020","journal-title":"Am J Respir Crit Care Med"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1016\/S0140-6736(12)60815-0","article-title":"Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study","volume":"380","author":"Pearce","year":"2012","journal-title":"Lancet"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1164\/rccm.201311-2099CI","article-title":"Monitoring cystic fibrosis lung disease by computed tomography. 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