Volumetric quantification of lung MR signal intensities using ultrashort TE as an automated score in cystic fibrosis
| dc.rights.license | open | en_US |
| dc.relation.isnodouble | 35ee2f0c-c527-44cb-b59a-43086827d989 | * |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | BENLALA, Ilyes | |
| dc.contributor.author | POINT, Sophie | |
| dc.contributor.author | LEUNG, Cedric | |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | BERGER, Patrick
ORCID: 0000-0003-4702-0343 IDREF: 060717998 | |
| dc.contributor.author | WOODS, Jason C. | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | RAHERISON-SEMJEN, Chantal | |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | LAURENT, Francois | |
| dc.contributor.author | MACEY, Julie | |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | DOURNES, Gael | |
| dc.date.accessioned | 2021-04-02T08:14:45Z | |
| dc.date.available | 2021-04-02T08:14:45Z | |
| dc.date.issued | 2020-10 | |
| dc.identifier.issn | 0938-7994 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/26852 | |
| dc.description.abstractEn | OBJECTIVES: The study aimed to validate automated quantification of high and low signal intensity volumes using ultrashort echo-time MRI, with CT and pulmonary function test (PFT) as references, to assess the severity of structural alterations in cystic fibrosis (CF). METHODS: This prospective study was performed in a single center between May 2015 and September 2017. Participants with CF completed clinical examination, CT, MRI, and PFT the same day during routine clinical follow-up (M0), and then 1 year after (M12) except for CT. Using MRI, percentage high (%MR-HSV), low (%MR-LSV), and total abnormal (%MR-TSV) signal intensity volumes were recorded, as well as their corresponding attenuation values using CT (%CT-HAV, %CT-LAV, %CT-TAV, respectively). Automated quantifications and visual Bhalla score were evaluated independently by two observers. Correlations were assessed using the Spearman test, comparisons using the Mann-Whitney test, and reproducibility using the intraclass correlation coefficient (ICC). RESULTS: A total of 30 participants were enrolled (median age 27 years, 18 men). At M0, there was a good correlation between %MR-HSV and %CT-HAV (ρ = 0.70; p \textbackslashtextless 0.001) and %MR-LSV and %CT-LAV (ρ = 0.60; p \textbackslashtextless 0.001). Automated MR metrics correlated to PFTs and Bhalla score (p \textbackslashtextless 0.05) while %MR-TSV was significantly different between CF with and without respiratory exacerbation (p = 0.01) at both M0 and M12. The variation of %MR-HSV correlated to the variation of FEV1% at PFT (ρ = - 0.49; p = 0.008). Reproducibility was almost perfect (ICCs \textbackslashtextgreater 0.95). CONCLUSIONS: Automated quantification of abnormal signal intensity volumes relates to CF severity and allows reproducible cross-sectional and longitudinal assessment. TRIAL REGISTRATION: Clinical trial identifier: NCT02449785 KEY POINTS: • Cross-sectionally, the automated quantifications of high and low signal intensity volumes at UTE correlated to the quantification of high and low attenuation using CT as reference. • Longitudinally, the variation of high signal intensity volume at UTE correlated to the variation of pulmonary function test and was significantly reduced in CF with an improvement in exacerbation status. • Automated quantification of abnormal signal intensity volumes are objective and reproducible tools to assess structural alterations in CF and follow-up longitudinally, for both research and clinical purposes. | |
| dc.language.iso | EN | en_US |
| dc.subject.en | Lung | |
| dc.subject.en | Cystic fibrosis | |
| dc.subject.en | Magnetic resonance imaging | |
| dc.title.en | Volumetric quantification of lung MR signal intensities using ultrashort TE as an automated score in cystic fibrosis | |
| dc.title.alternative | Eur Radiol | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1007/s00330-020-06910-w | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.identifier.pubmed | 32415586 | en_US |
| bordeaux.journal | European Radiology | en_US |
| bordeaux.page | 5479–5488 | en_US |
| bordeaux.volume | 30 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.issue | 10 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.team | EPICENE_BPH | |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Centre Hospitalier Universitaire de Bordeaux | en_US |
| hal.identifier | hal-03188507 | |
| hal.version | 1 | |
| hal.date.transferred | 2021-04-02T08:14:49Z | |
| hal.audience | Internationale | |
| hal.export | true | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European%20Radiology&rft.date=2020-10&rft.volume=30&rft.issue=10&rft.spage=5479%E2%80%935488&rft.epage=5479%E2%80%935488&rft.eissn=0938-7994&rft.issn=0938-7994&rft.au=BENLALA,%20Ilyes&POINT,%20Sophie&LEUNG,%20Cedric&BERGER,%20Patrick&WOODS,%20Jason%20C.&rft.genre=article |
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