Your browser doesn't support javascript.
loading
Artificial Intelligence-based CT Assessment of Bronchiectasis: The COPDGene Study.
Díaz, Alejandro A; Nardelli, Pietro; Wang, Wei; San José Estépar, Rubén; Yen, Andrew; Kligerman, Seth; Maselli, Diego J; Dolliver, Wojciech R; Tsao, Andrew; Orejas, José L; Aliberti, Stefano; Aksamit, Timothy R; Young, Kendra A; Kinney, Gregory L; Washko, George R; Silverman, Edwin K; San José Estépar, Raúl.
Affiliation
  • Díaz AA; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Nardelli P; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Wang W; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • San José Estépar R; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Yen A; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Kligerman S; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Maselli DJ; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Dolliver WR; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Tsao A; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Orejas JL; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Aliberti S; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Aksamit TR; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Young KA; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Kinney GL; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Washko GR; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • Silverman EK; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
  • San José Estépar R; From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and
Radiology ; 307(1): e221109, 2023 04.
Article in En | MEDLINE | ID: mdl-36511808
ABSTRACT
Background CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent of this metric in CT scans. Purpose To determine the extent of AARs using an artificial intelligence-based chest CT and assess the association of AARs with exacerbations over time. Materials and Methods In a secondary analysis of ever-smokers from the prospective, observational, multicenter COPDGene study, AARs were quantified using an artificial intelligence tool. The percentage of airways with AAR greater than 1 (a measure of airway dilatation) in each participant on chest CT scans was determined. Pulmonary exacerbations were prospectively determined through biannual follow-up (from July 2009 to September 2021). Multivariable zero-inflated regression models were used to assess the association between the percentage of airways with AAR greater than 1 and the total number of pulmonary exacerbations over follow-up. Covariates included demographics, lung function, and conventional CT parameters. Results Among 4192 participants (median age, 59 years; IQR, 52-67 years; 1878 men [45%]), 1834 had chronic obstructive pulmonary disease (COPD). During a 10-year follow-up and in adjusted models, the percentage of airways with AARs greater than 1 (quartile 4 vs 1) was associated with a higher total number of exacerbations (risk ratio [RR], 1.08; 95% CI 1.02, 1.15; P = .01). In participants meeting clinical and imaging criteria of bronchiectasis (ie, clinical manifestations with ≥3% of AARs >1) versus those who did not, the RR was 1.37 (95% CI 1.31, 1.43; P < .001). Among participants with COPD, the corresponding RRs were 1.10 (95% CI 1.02, 1.18; P = .02) and 1.32 (95% CI 1.26, 1.39; P < .001), respectively. Conclusion In ever-smokers with chronic obstructive pulmonary disease, artificial intelligence-based CT measures of bronchiectasis were associated with more exacerbations over time. Clinical trial registration no. NCT00608764 © RSNA, 2022 Supplemental material is available for this article. See also the editorial by Schiebler and Seo in this issue.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bronchiectasis / Artificial Intelligence / Tomography, Emission-Computed / Pulmonary Disease, Chronic Obstructive Type of study: Clinical_trials / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Radiology Year: 2023 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bronchiectasis / Artificial Intelligence / Tomography, Emission-Computed / Pulmonary Disease, Chronic Obstructive Type of study: Clinical_trials / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Radiology Year: 2023 Type: Article