Quantitative CT and COPD: cluster analysis reveals five distinct subtypes with varying exacerbation risks
Cluster analysis identified 5 clusters related to quantitative CT of all participants in the SPIROMICS cohort with significant differences in baseline characteristics and acute exacerbation risk. The stability of clustering results was validated through NMI in 10 sampling cycles. In addition, dimensionality reduction results showed high reproducibility in different studies.
Authors
- Haolei Yuan
- Yuan Gao (ORCID: https://orcid.org/0000-0002-3931-4272)
- Haobin Zhou (ORCID: https://orcid.org/0000-0002-8905-3584)
- Chia‐Yen Dai (ORCID: https://orcid.org/0000-0003-2296-3054)
- Zizheng Chen
- Zhenyu Liang
- Fengyan Wang (ORCID: https://orcid.org/0000-0001-5737-0625)
- Chusheng Peng
Institutions
- First Affiliated Hospital of Guangzhou Medical University (CN)
- State Key Laboratory of Respiratory Disease (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1186/s12890-025-03562-8
- Citations
- 2
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- National Natural Science Foundation of China