References
Walsh SLF, Calandriello L, Sverzellati N, Wells AU, Hansell DM, Observer Consort UIP (2016) Interobserver agreement for the ATS/ERS/JRS/ALAT criteria for a UIP pattern on CT. Thorax 71(1):45–51
Jacob J, Hirani N, van Moorsel CHM (2019) Predicting outcomes in rheumatoid arthritis related interstitial lung disease. Eur Respir J. https://doi.org/10.1183/13993003.00869-2018
Calandriello L, Walsh SLF (2022) The evolution of computer-based analysis of high-resolution CT of the chest in patients with IPF. Br J Radiol. https://doi.org/10.1259/bjr.20200944
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. https://doi.org/10.1183/13993003.01011-2016
Walsh SLF, Calandriello L, Silva M, Sverzellati N (2018) Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study. Lancet Respir Med. https://doi.org/10.1016/S2213-2600(18)30286-8
Walsh SLF, Mackintosh JA, Calandriello L et al (2022) Deep learning-based outcome prediction in progressive fibrotic lung disease using high-resolution computed tomography. Am J Respir Crit Care Med. https://doi.org/10.1164/rccm.202112-2684OC
Cheung WK, Pakzad A, Mogulkoc N et al (2023) Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis. Eur Radiol. https://doi.org/10.1007/s00330-023-09914-4
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. https://doi.org/10.1164/rccm.201807-1255ST
Raghu G, Collard HR, Egan JJ, et al (2011) An official ATS/ERS/JRS/ALAT statement: idiopathic pulmonary fibrosis: evidence-based guidelines for diagnosis and management. Am J Respir Crit Care Med. https://doi.org/10.1164/rccm.2009-040GL
Walsh SL, Wells AU, Sverzellati N, et al (2015) Relationship between fibroblastic foci profusion and high resolution CT morphology in fibrotic lung disease. BMC Med. https://doi.org/10.1186/s12916-015-0479-0
Walsh SLF, Sverzellati N, Devaraj A, Wells AU, Hansell DM (2012) Chronic hypersensitivity pneumonitis: high resolution computed tomography patterns and pulmonary function indices as prognostic determinants. Eur Radiol. https://doi.org/10.1007/s00330-012-2427-0
Funding
The authors state that this work has not received any funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Guarantor
The scientific guarantor of this publication is Lucio Calandriello.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was not required because of the type of publication (Commentary).
Ethical approval
Institutional Review Board approval was not required because of the type of publication (Commentary).
Study subjects or cohorts overlap
None.
Methodology
Commentary
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This comment refers to the article available at https://doi.org/10.1007/s00330-023-09914-4
Rights and permissions
About this article
Cite this article
Calandriello, L., Walsh, S.L.F. Do we need computational analysis of high-resolution CT images in fibrotic interstitial lung disease?. Eur Radiol 33, 8226–8227 (2023). https://doi.org/10.1007/s00330-023-10187-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-023-10187-0