Literature DB >> 29869171

An automated computed tomography score for the cystic fibrosis lung.

Guillaume Chassagnon1,2, Clémence Martin3, Pierre-Régis Burgel3, Dominique Hubert3, Isabelle Fajac4, Nikos Paragios5, Evangelia I Zacharaki5, Paul Legmann6, Joel Coste7, Marie-Pierre Revel6.   

Abstract

OBJECTIVES: To develop an automated density-based computed tomography (CT) score evaluating high-attenuating lung structural abnormalities in patients with cystic fibrosis (CF).
METHODS: Seventy adult CF patients were evaluated. The development cohort comprised 17 patients treated with ivacaftor, with 45 pre-therapeutic and follow-up chest CT scans. Another cohort of 53 patients not treated with ivacaftor was used for validation. CT-density scores were calculated using fixed and adapted thresholds based on histogram characteristics, such as the mode and standard deviation. Visual CF-CT score was also calculated. Correlations between the CT scores and forced expiratory volume in 1 s (FEV1% pred), and between their changes over time were assessed.
RESULTS: On cross-sectional evaluation, the correlation coefficients between FEV1%pred and the automated scores were slightly lower to that of the visual score in the development and validation cohorts (R = up to -0.68 and -0.61, versus R = -0.72 and R = -0.64, respectively). Conversely, the correlation to FEV1%pred tended to be higher for automated scores (R = up to -0.61) than for visual score (R = -0.49) on longitudinal follow-up. Automated scores based on Mode + 3 SD and Mode +300 HU showed the highest cross-sectional (R = -0.59 to -0.68) and longitudinal (R = -0.51 to -0.61) correlation coefficients to FEV1%pred.
CONCLUSIONS: The developed CT-density score reliably quantifies high-attenuating lung structural abnormalities in CF. KEY POINTS: • Automated CT score shows moderate to good cross-sectional correlations with FEV 1 %pred . • CT score has potential to be integrated into the standard reporting workflow.

Entities:  

Keywords:  Cystic fibrosis; Forced expiratory volume; Image processing computer-assisted; Scoring methods; Tomography spiral computed

Mesh:

Substances:

Year:  2018        PMID: 29869171     DOI: 10.1007/s00330-018-5516-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  39 in total

1.  Volume-monitored chest CT: a simplified method for obtaining motion-free images near full inspiratory and end expiratory lung volumes.

Authors:  Kathryn S Mueller; Frederick R Long; Robert L Flucke; Robert G Castile
Journal:  Pediatr Radiol       Date:  2010-05-28

Review 2.  A critical discussion of computer analysis in medical imaging.

Authors:  Michael L Goris; Hongyun J Zhu; Terry E Robinson
Journal:  Proc Am Thorac Soc       Date:  2007-08-01

3.  Quantitative air-trapping analysis in children with mild cystic fibrosis lung disease.

Authors:  Anne-Sophie Bonnel; Samuel Moon-Ho Song; Krishnaveni Kesavarju; Manisha Newaskar; Craig J Paxton; Daniel A Bloch; Richard B Moss; Terry E Robinson
Journal:  Pediatr Pulmonol       Date:  2004-11

4.  Automated CT scan scores of bronchiectasis and air trapping in cystic fibrosis.

Authors:  Emily M DeBoer; Waldemar Swiercz; Sonya L Heltshe; Margaret M Anthony; Paul Szefler; Rebecca Klein; John Strain; Alan S Brody; Scott D Sagel
Journal:  Chest       Date:  2014-03-01       Impact factor: 9.410

5.  Pulmonary tissue attenuation with computed tomography: comparison of inspiration and expiration scans.

Authors:  P J Robinson; L Kreel
Journal:  J Comput Assist Tomogr       Date:  1979-12       Impact factor: 1.826

6.  Changes in airway dimensions on computed tomography scans of children with cystic fibrosis.

Authors:  Pim A de Jong; Yasutaka Nakano; Wim C Hop; Frederick R Long; Harvey O Coxson; Peter D Paré; Harm A Tiddens
Journal:  Am J Respir Crit Care Med       Date:  2005-04-14       Impact factor: 21.405

7.  Scanner conformity in CT densitometry of the lungs.

Authors:  G J Kemerink; R J Lamers; G R Thelissen; J M van Engelshoven
Journal:  Radiology       Date:  1995-12       Impact factor: 11.105

8.  Lumacaftor-Ivacaftor in Patients with Cystic Fibrosis Homozygous for Phe508del CFTR.

Authors:  Claire E Wainwright; J Stuart Elborn; Bonnie W Ramsey; Gautham Marigowda; Xiaohong Huang; Marco Cipolli; Carla Colombo; Jane C Davies; Kris De Boeck; Patrick A Flume; Michael W Konstan; Susanna A McColley; Karen McCoy; Edward F McKone; Anne Munck; Felix Ratjen; Steven M Rowe; David Waltz; Michael P Boyle
Journal:  N Engl J Med       Date:  2015-05-17       Impact factor: 91.245

9.  Automatic airway analysis on multidetector computed tomography in cystic fibrosis: correlation with pulmonary function testing.

Authors:  Mark O Wielpütz; Monika Eichinger; Oliver Weinheimer; Sebastian Ley; Marcus A Mall; Matthias Wiebel; Arved Bischoff; Hans-Ulrich Kauczor; Claus P Heußel; Michael Puderbach
Journal:  J Thorac Imaging       Date:  2013-03       Impact factor: 3.000

10.  Influence of calibration on densitometric studies of emphysema progression using computed tomography.

Authors:  David G Parr; Berend C Stoel; Jan Stolk; Peter G Nightingale; Robert A Stockley
Journal:  Am J Respir Crit Care Med       Date:  2004-07-21       Impact factor: 21.405

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  2 in total

1.  Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.

Authors:  Guillaume Chassagnon; Evangelia I Zacharaki; Sébastien Bommart; Pierre-Régis Burgel; Raphael Chiron; Séverine Dangeard; Nikos Paragios; Clémence Martin; Marie-Pierre Revel
Journal:  Radiol Cardiothorac Imaging       Date:  2020-12-17

2.  Functional respiratory imaging in relation to classical outcome measures in cystic fibrosis: a cross-sectional study.

Authors:  Eline Lauwers; Annemiek Snoeckx; Kris Ides; Kim Van Hoorenbeeck; Maarten Lanclus; Wilfried De Backer; Jan De Backer; Stijn Verhulst
Journal:  BMC Pulm Med       Date:  2021-08-04       Impact factor: 3.317

  2 in total

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