PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2024European Respiratory Journal20 citationsOpen Access

Cluster analysis to identify long COVID phenotypes using129Xe magnetic resonance imaging: a multicentre evaluation

View Full Paper

Authors

RERachel L. EddyDMDavid MummySZShuo Zhang

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Eddy et al. (2024) studied this question.

synapsesocial.com/papers/68e7b3d4b6db64358770dcc3https://doi.org/10.1183/13993003.02301-2023
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1C57-02 Long-term Outcomes on Hyperpolarized Xenon-129 MRI of Non-critical Covid-19 Infections in New York City2026
  2. 2Using Hyperpolarised Xenon MRI to Explore Breathlessness in Long COVID2026
  3. 3129Xe MRI Ventilation Textures and Longitudinal Quality-of-Life Improvements in Long-COVID2024 · 2 citations
  4. 4Quantitative Chest Computed Tomography and Machine Learning for Subphenotyping Small Airways Disease in Long COVID2025
  5. 5Longitudinal <sup>1</sup> H and <sup>129</sup> Xe Lung MRI in Patients With Post‐COVID Residual Lung Abnormalities2026 · 1 citations