Pulmonary <scp>MRI</scp> and Cluster Analysis Help Identify Novel Asthma Phenotypes-Reference-Cited by-同舟云学术

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Pulmonary MRI and Cluster Analysis Help Identify Novel Asthma Phenotypes

Published:2022-03-12 Issue:5 Volume:56 Page:1475-1486
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Eddy Rachel L.¹²^ORCID,McIntosh Marrissa J.³⁴,Matheson Alexander M.³⁴,McCormack David G.⁵,Licskai Christopher⁵,Parraga Grace³⁴⁵^ORCID

Affiliation:

1. Centre for Heart Lung Innovation St. Paul's Hospital Vancouver Canada

2. Division of Respiratory Medicine, Department of Medicine University of British Columbia Vancouver Canada

3. Robarts Research Institute Western University London Canada

4. Department of Medical Biophysics Western University London Canada

5. Division of Respirology, Department of Medicine Western University London Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Michael Smith Foundation for Health Research

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28152

Reference40 articles.

1. Eosinophilic Inflammation in Asthma

2. Role of Biologics in Asthma

3. Clinical phenotypes of asthma

4. Asthma phenotypes: the evolution from clinical to molecular approaches

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cluster analysis to identify long COVID phenotypes using¹²⁹Xe magnetic resonance imaging: a multicentre evaluation;European Respiratory Journal;2024-02-08

2. Lung functional imaging;Breathe;2023-09

3. Comparison of ventilation defects quantified by Technegas SPECT and hyperpolarized 129Xe MRI;Frontiers in Physiology;2023-04-28

4. Airway remodeling heterogeneity in asthma and its relationship to disease outcomes;Frontiers in Physiology;2023-01-19

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