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Editorial
. 2024 May 1;209(9):1058-1059.
doi: 10.1164/rccm.202401-0117ED.

Disentangling Computed Tomography Pattern and Extent to Estimate Prognosis in Fibrosing Interstitial Lung Diseases

Joseph Jacob  1   2 , Chad A Newton  3
Affiliations
Editorial

Disentangling Computed Tomography Pattern and Extent to Estimate Prognosis in Fibrosing Interstitial Lung Diseases

Joseph Jacob et al. Am J Respir Crit Care Med. .
No abstract available

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Comment on

  • Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.
    Humphries SM, Thieke D, Baraghoshi D, Strand MJ, Swigris JJ, Chae KJ, Hwang HJ, Oh AS, Flaherty KR, Adegunsoye A, Jablonski R, Lee CT, Husain AN, Chung JH, Strek ME, Lynch DA. Humphries SM, et al. Am J Respir Crit Care Med. 2024 May 1;209(9):1121-1131. doi: 10.1164/rccm.202307-1191OC. Am J Respir Crit Care Med. 2024. PMID: 38207093

References

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    1. Adegunsoye A, Oldham JM, Bellam SK, Montner S, Churpek MM, Noth I, et al. Computed tomography honeycombing identifies a progressive fibrotic phenotype with increased mortality across diverse interstitial lung diseases. Ann Am Thorac Soc . 2019;16:580–588. - PMC - PubMed
    1. Humphries SM, Yagihashi K, Huckleberry J, Rho BH, Schroeder JD, Strand M, et al. Idiopathic pulmonary fibrosis: data-driven textural analysis of extent of fibrosis at baseline and 15-month follow-up. Radiology . 2017;285:270–278. - PMC - PubMed