Automated CT scan scores of bronchiectasis and air trapping in cystic fibrosis.
Background: Computer analysis of high-resolution CT (HRCT) scans may improve the assessment of structural lung injury in children with cystic fibrosis (CF). The goal of this cross-sectional pilot study was to validate automated, observer-independent image analysis software to establish objective, si...
| Publicado en: | CHEST Vol. 145; no. 3; pp. 593 - 604 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
American College of Chest Physicians
Mar2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107890833&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107890833 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00123692 1G4 jtl: CHEST issn: 00123692 maglogo: N pubinfo: dt: Mar2014 vid: 145 iid: 3 pid: 2556 pub: American College of Chest Physicians place: Glenview, Illinois artinfo: ui: 107890833 NLM24114359 2012495304 10.1378/chest.13-0588 NLM24114359 PMC3941250 107890833 ppf: 593 ppct: 11 formats: tig: atl: Automated CT scan scores of bronchiectasis and air trapping in cystic fibrosis. aug: au: Deboer, Emily M Swiercz, Waldemar Heltshe, Sonya L Anthony, Margaret M Szefler, Paul Klein, Rebecca Strain, John Brody, Alan S Sagel, Scott D sug: subj: Automation Methods Bronchiectasis Radiography Cystic Fibrosis Radiography Tomography, X-Ray Computed Methods Bronchiectasis Etiology Bronchiectasis Physiopathology Cystic Fibrosis Complications Cystic Fibrosis Mortality Disease Progression Female Human Male Middle Age Prognosis Prospective Studies Respiratory Function Tests Retrospective Design Survival Trends Time Factors United States Vital Capacity Middle Aged: 45-64 years Female Male ab: Background: Computer analysis of high-resolution CT (HRCT) scans may improve the assessment of structural lung injury in children with cystic fibrosis (CF). The goal of this cross-sectional pilot study was to validate automated, observer-independent image analysis software to establish objective, simple criteria for bronchiectasis and air trapping.Methods: HRCT scans of the chest were performed in 35 children with CF and compared with scans from 12 disease control subjects. Automated image analysis software was developed to count visible airways on inspiratory images and to measure a low attenuation density (LAD) index on expiratory images. Among the children with CF, relationships among automated measures, Brody HRCT scanning scores, lung function, and sputum markers of inflammation were assessed.Results: The number of total, central, and peripheral airways on inspiratory images and LAD (%) on expiratory images were significantly higher in children with CF compared with control subjects. Among subjects with CF, peripheral airway counts correlated strongly with Brody bronchiectasis scores by two raters (r=0.86, P<.0001; r=0.91, P<.0001), correlated negatively with lung function, and were positively associated with sputum free neutrophil elastase activity. LAD (%) correlated with Brody air trapping scores (r=0.83, P<.0001; r=0.69, P<.0001) but did not correlate with lung function or sputum inflammatory markers.Conclusions: Quantitative airway counts and LAD (%) on HRCT scans appear to be useful surrogates for bronchiectasis and air trapping in children with CF. Our automated methodology provides objective quantitative measures of bronchiectasis and air trapping that may serve as end points in CF clinical trials. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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