Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans

Angelini, E. D., Yang, J., Balte, P. P., Hoffman, E. A., Manichaikul, A. W., Sun, Y., Shen, W., Austin, J. H. M., Allen, N. B., Bleecker, E. R., Bowler, R., Cho, M. H., Cooper, C. S., Couper, D., Dransfield, M. T., Garcia, C. K., Han, M. K., Hansel, N. N., Hughes, E., … Barr, R. G. (2023). Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans. Thorax, 78(11), 1067–1079. https://doi.org/10.1136/thorax-2022-219158
Authors:
Elsa D Angelini
Jie Yang
Pallavi P Balte
Eric A Hoffman
Ani W Manichaikul
Yifei Sun
Wei Shen
John H M Austin
Norrina B Allen
Eugene R Bleecker
Russell Bowler
Michael H Cho
Christopher S Cooper
David Couper
Mark T Dransfield
Christine Kim Garcia
MeiLan K Han
Nadia N Hansel
Emlyn Hughes
David R Jacobs
Silva Kasela
Joel Daniel Kaufman
John Shinn Kim
Tuuli Lappalainen
Joao Lima
Daniel Malinsky
Fernando J Martinez
Elizabeth C Oelsner
Victor E Ortega
Robert Paine
Wendy Post
Tess D Pottinger
Martin R Prince
Stephen S Rich
Edwin K Silverman
Benjamin M Smith
Andrew J Swift
Karol E Watson
Prescott G Woodruff
Andrew F Laine
R Graham Barr
Affiliated Authors:
Elsa D Angelini
Jie Yang
Pallavi P Balte
Yifei Sun
Wei Shen
John H M Austin
Christine Kim Garcia
Emlyn Hughes
Silva Kasela
John Shinn Kim
Tuuli Lappalainen
Daniel Malinsky
Elizabeth C Oelsner
Tess D Pottinger
Benjamin M Smith
Andrew J Swift
Andrew F Laine
R Graham Barr
Author Keywords:
copd epidemiology
emphysema
imaging/ct mri etc
Publication Type:
Article
Unique ID:
10.1136/thorax-2022-219158
PMID:
Journal:
Publication Date:
Data Source:
PubMed

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