Detection of progressive airway disease on chest computed tomography in the Ataluren CF cohort using an airway-artery algorithm

Lv, Qianting; Estrella, L Gallardo; Andrinopoulou, Eleni‐Rosalina; Ciet, Pierluigi; Charbonnier, J; Corput, Mariette P.C. Kemner van de; Caudri, Daan; Bruijne, Maarten de; Tiddens, Harm A.W.M.

doi:10.1183/13993003.congress-2022.892

Cited by 1 publication

(6 citation statements)

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“…In addition, we believe that the use of the A lumen /A for the diagnosis of bronchiectasis is less sensitive, because the presence of mucus in an widened airway can reduce the A lumen diameter. Our cut-off of 1.1 was derived from a study in children with CF and control subjects which were analysed using the same automatic AA-analysis as in our study [22]. In addition, the cut-off of 1.1 is close to what has been used in other bronchiectasis studies [28,35].…”

Section: Discussionmentioning

confidence: 86%

“…To measure AA-dimensions on inspiratory scans we used automatic artificial intelligence(AI) based software (LungQ-AA v2.1-rc, Thirona B.V., Nijmegen, the Netherlands) [22,23]. LungQ software is trained with a large variety of datasets of inspiratory and expiratory CTs to ensure robust performance against variation in patient characteristics (age, gender, BMI), variation in disease populations (chronic obstructive pulmonary disease, asthma, CF, interstitial lung disease, chronic bronchitis, bronchiectasis, COVID-19) ,and variation in image characteristics (manufacturer, dose, convolutional kernel, voxel spacing).…”

Section: Automatic Airway-artery Analysismentioning

confidence: 99%

“…For every AA-pair A out /A and A lumen /A were computed to define bronchiectasis, and A wt /A to define airway wall thickening. Based on previous studies, we used a cut-off value of 1.1 for the A out /A (A out A) to define bronchiectasis [19,22,28,29]. In addition, we also used a cut-off value of ≥1.5 which has been proposed to define bronchiectasis in adults [28].…”

Section: Automatic Airway-artery Analysismentioning

confidence: 99%

“…In addition, we also used a cut-off value of ≥1.5 which has been proposed to define bronchiectasis in adults [28]. Airway wall thickening was defined as: A wt /A (A wt A) of ≥0.14 and ≥0.20 [22,30]. For airway wall thickening we also included the ratio between airway wall area and airway outer area (A wa /A ou ) which provides information on the degree of airway remodeling independent of artery diameter changes.…”

Section: Automatic Airway-artery Analysismentioning

confidence: 99%

“…Recently, an automatic method was developed to assess airway dimensions of all visible airway artery (AA)-pairs on an inspiratory chest CT scan. In CF patients this automatic AA-analysis has been shown to be sensitive to detect airway wall thickening and airway widening [22,23]. Furthermore, an automatic method was developed that is able to detect SAD by measuring differences in lung density between in-and expiratory CT scans.…”

Section: Introductionmentioning

confidence: 99%

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Children with severe asthma have substantial structural airway changes on computed tomography

van den Bosch,

Lv,

Andrinopoulou

et al. 2023

ERJ Open Res

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BackgroundIn adults with severe asthma(SA) airway wall thickening, bronchiectasis and low attenuation regions(LAR) have been described on chest computed tomography(CT) scans. The extent to which these structural abnormalities are present in children with SA is largely unknown.AimTo study the presence and extent of airway abnormalities on chest CT of children with SA.Methods161 in-and expiratory CT scans, either spirometer-controlled or technician-controlled, obtained in 131 children with SA (mean age 11.0±3.8 years) were collected retrospectively. Inspiratory scans were analysed manually using a semi-quantitative score and automatically using LungQ (v2.1.0.1, Thirona B.V., The Netherlands). LungQ segments the airway tree, identifies the generation for each airway-artery (AA)-pair, and measures the following AA-dimensions: outer airway wall diameter(Aout), adjacent artery diameter(A) and airway wall thickness(Awt). Bronchiectasis was defined as Aout/A ≥1.1, airway wall thickening as Awt/A ≥0.14. LAR, reflecting small airways disease(SAD) was measured automatically on in- and expiratory scans and manually on expiratory scans. Functional SAD was defined as FEF25–75and/or FEF75z-scores<-1.645. Results are shown as median and interquartile range.ResultsBronchiectasis was present on 95.8% and airway wall thickening on all CT's using the automated method. Bronchiectasis was present on 28% and airway wall thickening on 88.8% of the CT's using the manual semi-quantitative analysis. The percentage of AA-pairs defined as bronchiectasis was 24.62% (12.7–39.3%) and airway wall thickening was 41.7% (24.0–79.8%) per CT using the automated method. LAR was observed on all CT's using the automatic analysis and on 82.9% using the manual semi-quantitative analysis. Patients with LAR or functional SAD had more thickened airways than patients without.ConclusionDespite a large discrepancy between the automated and the manual semi-quantitative analysis, bronchiectasis and airway wall thickening are present on most CT scans of children with SA. SAD is related to airway wall thickening.

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Section: Discussionmentioning

confidence: 86%

Section: Automatic Airway-artery Analysismentioning

confidence: 99%