Skip to main content
Top
Published in: European Radiology 11/2023

Open Access 28-07-2023 | Idiopathic Pulmonary Fibrosis | Chest

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis

Authors: Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob

Published in: European Radiology | Issue 11/2023

Login to get access

Abstract

Objectives

The study examined whether quantified airway metrics associate with mortality in idiopathic pulmonary fibrosis (IPF).

Methods

In an observational cohort study (n = 90) of IPF patients from Ege University Hospital, an airway analysis tool AirQuant calculated median airway intersegmental tapering and segmental tortuosity across the 2nd to 6th airway generations. Intersegmental tapering measures the difference in median diameter between adjacent airway segments. Tortuosity evaluates the ratio of measured segmental length against direct end-to-end segmental length. Univariable linear regression analyses examined relationships between AirQuant variables, clinical variables, and lung function tests. Univariable and multivariable Cox proportional hazards models estimated mortality risk with the latter adjusted for patient age, gender, smoking status, antifibrotic use, CT usual interstitial pneumonia (UIP) pattern, and either forced vital capacity (FVC) or diffusion capacity of carbon monoxide (DLco) if obtained within 3 months of the CT.

Results

No significant collinearity existed between AirQuant variables and clinical or functional variables. On univariable Cox analyses, male gender, smoking history, no antifibrotic use, reduced DLco, reduced intersegmental tapering, and increased segmental tortuosity associated with increased risk of death. On multivariable Cox analyses (adjusted using FVC), intersegmental tapering (hazard ratio (HR) = 0.75, 95% CI = 0.66–0.85, p < 0.001) and segmental tortuosity (HR = 1.74, 95% CI = 1.22–2.47, p = 0.002) independently associated with mortality. Results were maintained with adjustment using DLco.

Conclusions

AirQuant generated measures of intersegmental tapering and segmental tortuosity independently associate with mortality in IPF patients. Abnormalities in proximal airway generations, which are not typically considered to be abnormal in IPF, have prognostic value.

Clinical relevance statement

Quantitative measurements of intersegmental tapering and segmental tortuosity, in proximal (second to sixth) generation airway segments, independently associate with mortality in IPF. Automated airway analysis can estimate disease severity, which in IPF is not restricted to the distal airway tree.

Key Points

AirQuant generates measures of intersegmental tapering and segmental tortuosity.
Automated airway quantification associates with mortality in IPF independent of established measures of disease severity.
Automated airway analysis could be used to refine patient selection for therapeutic trials in IPF.

Graphical Abstract

Literature
1.
go back to reference Raghu G, Remy-Jardin M, Myers JL et al (2018) Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline. Am J Respir Crit Care Med 198:e44–e68CrossRefPubMed Raghu G, Remy-Jardin M, Myers JL et al (2018) Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline. Am J Respir Crit Care Med 198:e44–e68CrossRefPubMed
2.
go back to reference Raghu G, Wells AU, Nicholson AG et al (2017) Effect of nintedanib in subgroups of idiopathic pulmonary fibrosis by diagnostic criteria. Am J Respir Crit Care Med 195:78–85CrossRefPubMedPubMedCentral Raghu G, Wells AU, Nicholson AG et al (2017) Effect of nintedanib in subgroups of idiopathic pulmonary fibrosis by diagnostic criteria. Am J Respir Crit Care Med 195:78–85CrossRefPubMedPubMedCentral
3.
go back to reference Lynch DA, Godwin JD, Safrin S et al (2005) High-resolution computed tomography in idiopathic pulmonary fibrosis: diagnosis and prognosis. Am J Respir Crit Care Med 172:488–493CrossRefPubMed Lynch DA, Godwin JD, Safrin S et al (2005) High-resolution computed tomography in idiopathic pulmonary fibrosis: diagnosis and prognosis. Am J Respir Crit Care Med 172:488–493CrossRefPubMed
4.
go back to reference Nagao T, Nagai S, Hiramoto Y et al (2002) Serial evaluation of high-resolution computed tomography findings in patients with idiopathic pulmonary fibrosis in usual interstitial pneumonia. Respiration 69:413–419CrossRefPubMed Nagao T, Nagai S, Hiramoto Y et al (2002) Serial evaluation of high-resolution computed tomography findings in patients with idiopathic pulmonary fibrosis in usual interstitial pneumonia. Respiration 69:413–419CrossRefPubMed
5.
go back to reference Jacob J, Bartholmai BJ, Rajagopalan S et al (2018) Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis. Am J Respir Crit Care Med 198:767–776CrossRefPubMedPubMedCentral Jacob J, Bartholmai BJ, Rajagopalan S et al (2018) Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis. Am J Respir Crit Care Med 198:767–776CrossRefPubMedPubMedCentral
6.
go back to reference Jacob J, Bartholmai BJ, van Moorsel CHM et al (2019) Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis. Eur Respir J 54:1802341CrossRefPubMedPubMedCentral Jacob J, Bartholmai BJ, van Moorsel CHM et al (2019) Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis. Eur Respir J 54:1802341CrossRefPubMedPubMedCentral
7.
go back to reference Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures. Eur Respir J 49:1601011CrossRefPubMed Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures. Eur Respir J 49:1601011CrossRefPubMed
8.
go back to reference Jacob J, Bartholmai BJ, Egashira R et al (2017) Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis. BMC Pulm Med 17:81CrossRefPubMedPubMedCentral Jacob J, Bartholmai BJ, Egashira R et al (2017) Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis. BMC Pulm Med 17:81CrossRefPubMedPubMedCentral
9.
go back to reference Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Unclassifiable-interstitial lung disease: outcome prediction using CT and functional indices. Respir Med 130:43–51CrossRefPubMed Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Unclassifiable-interstitial lung disease: outcome prediction using CT and functional indices. Respir Med 130:43–51CrossRefPubMed
10.
go back to reference Edey AJ, Devaraj AA, Barker RP, Nicholson AG, Wells AU, Hansell DM (2011) Fibrotic idiopathic interstitial pneumonias: HRCT findings that predict mortality. Eur Radiol 21:1586–1593CrossRefPubMed Edey AJ, Devaraj AA, Barker RP, Nicholson AG, Wells AU, Hansell DM (2011) Fibrotic idiopathic interstitial pneumonias: HRCT findings that predict mortality. Eur Radiol 21:1586–1593CrossRefPubMed
11.
go back to reference Jacob J, Bartholmai BJ, Rajagopalan S et al (2016) Automated quantitative computed tomography versus visual computed tomography scoring in idiopathic pulmonary fibrosis: validation against pulmonary function. J Thorac Imaging 31:304–311CrossRefPubMed Jacob J, Bartholmai BJ, Rajagopalan S et al (2016) Automated quantitative computed tomography versus visual computed tomography scoring in idiopathic pulmonary fibrosis: validation against pulmonary function. J Thorac Imaging 31:304–311CrossRefPubMed
12.
go back to reference Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Functional and prognostic effects when emphysema complicates idiopathic pulmonary fibrosis. Eur Respir J 50:1700379CrossRefPubMed Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Functional and prognostic effects when emphysema complicates idiopathic pulmonary fibrosis. Eur Respir J 50:1700379CrossRefPubMed
13.
14.
go back to reference Pakzad A, Cheung WK, Quan K et al (2021) Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. arXiv preprint arXiv:211110443 Pakzad A, Cheung WK, Quan K et al (2021) Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. arXiv preprint arXiv:211110443
15.
go back to reference Palagyi K, Tschirren J, Hoffman EA, Sonka M (2006) Quantitative analysis of pulmonary airway tree structures. Comput Biol Med 36:974–996CrossRefPubMed Palagyi K, Tschirren J, Hoffman EA, Sonka M (2006) Quantitative analysis of pulmonary airway tree structures. Comput Biol Med 36:974–996CrossRefPubMed
16.
go back to reference Reynisson PJ, Scali M, Smistad E et al (2015) Airway segmentation and centerline extraction from thoracic CT - comparison of a new method to state of the art commercialized methods. PLoS One 10:e0144282CrossRefPubMedPubMedCentral Reynisson PJ, Scali M, Smistad E et al (2015) Airway segmentation and centerline extraction from thoracic CT - comparison of a new method to state of the art commercialized methods. PLoS One 10:e0144282CrossRefPubMedPubMedCentral
17.
go back to reference Kirby M, Smith BM, Tanabe N et al (2021) Computed tomography total airway count predicts progression to COPD in at-risk smokers. ERJ Open Res 7:00307–02021CrossRefPubMedPubMedCentral Kirby M, Smith BM, Tanabe N et al (2021) Computed tomography total airway count predicts progression to COPD in at-risk smokers. ERJ Open Res 7:00307–02021CrossRefPubMedPubMedCentral
18.
go back to reference Kirby M, Tanabe N, Tan WC et al (2018) Total airway count on computed tomography and the risk of chronic obstructive pulmonary disease progression. Findings from a Population-based Study. Am J Respir Crit Care Med 197:56–65CrossRefPubMed Kirby M, Tanabe N, Tan WC et al (2018) Total airway count on computed tomography and the risk of chronic obstructive pulmonary disease progression. Findings from a Population-based Study. Am J Respir Crit Care Med 197:56–65CrossRefPubMed
19.
go back to reference Flaherty KR, Toews GB, Travis WD et al (2002) Clinical significance of histological classification of idiopathic interstitial pneumonia. Eur Respir J 19:275–283CrossRefPubMed Flaherty KR, Toews GB, Travis WD et al (2002) Clinical significance of histological classification of idiopathic interstitial pneumonia. Eur Respir J 19:275–283CrossRefPubMed
20.
go back to reference Plantier L, Debray MP, Estellat C et al (2016) Increased volume of conducting airways in idiopathic pulmonary fibrosis is independent of disease severity: a volumetric capnography study. J Breath Res 10:016005CrossRefPubMed Plantier L, Debray MP, Estellat C et al (2016) Increased volume of conducting airways in idiopathic pulmonary fibrosis is independent of disease severity: a volumetric capnography study. J Breath Res 10:016005CrossRefPubMed
21.
go back to reference Pastre J, Plantier L, Planes C et al (2015) Different KCO and VA combinations exist for the same DLCO value in patients with diffuse parenchymal lung diseases. BMC Pulm Med 15:100CrossRefPubMedPubMedCentral Pastre J, Plantier L, Planes C et al (2015) Different KCO and VA combinations exist for the same DLCO value in patients with diffuse parenchymal lung diseases. BMC Pulm Med 15:100CrossRefPubMedPubMedCentral
22.
go back to reference Brand P, Kohlhaufl M, Meyer T, Selzer T, Heyder J, Haussinger K (1999) Aerosol-derived airway morphometry and aerosol bolus dispersion in patients with lung fibrosis and lung emphysema. Chest 116:543–548CrossRefPubMed Brand P, Kohlhaufl M, Meyer T, Selzer T, Heyder J, Haussinger K (1999) Aerosol-derived airway morphometry and aerosol bolus dispersion in patients with lung fibrosis and lung emphysema. Chest 116:543–548CrossRefPubMed
23.
go back to reference Humphries SM, Yagihashi K, Huckleberry J et al (2017) Idiopathic pulmonary fibrosis: data-driven textural analysis of extent of fibrosis at baseline and 15-month follow-up. Radiology 285:270–278CrossRefPubMed Humphries SM, Yagihashi K, Huckleberry J et al (2017) Idiopathic pulmonary fibrosis: data-driven textural analysis of extent of fibrosis at baseline and 15-month follow-up. Radiology 285:270–278CrossRefPubMed
Metadata
Title
Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis
Authors
Wing Keung Cheung
Ashkan Pakzad
Nesrin Mogulkoc
Sarah Needleman
Bojidar Rangelov
Eyjolfur Gudmundsson
An Zhao
Mariam Abbas
Davina McLaverty
Dimitrios Asimakopoulos
Robert Chapman
Recep Savas
Sam M. Janes
Yipeng Hu
Daniel C. Alexander
John R. Hurst
Joseph Jacob
Publication date
28-07-2023
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 11/2023
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-023-09914-4

Other articles of this Issue 11/2023

European Radiology 11/2023 Go to the issue