Development of a machine learning model in prediction of the rapid progression of interstitial lung disease in patients with idiopathic inflammatory myopathy
Idiopathic inflammatory myopathy (IIM); rapidly progressive interstitial lung disease (RP-ILD); high-resolution computed tomography (HRCT); machine learning (ML); quantitative computed tomography (QCT).
Authors
- Linfeng Xi (ORCID: https://orcid.org/0000-0001-5702-4159)
- Yanhong Ren (ORCID: https://orcid.org/0000-0001-5210-0300)
- Bing Xie (ORCID: https://orcid.org/0000-0003-2335-5966)
- Min Liu (ORCID: https://orcid.org/0000-0001-7076-5066)
- Jianping Wang (ORCID: https://orcid.org/0000-0002-7141-3473)
- Chen Wang (ORCID: https://orcid.org/0009-0001-3596-7866)
- Hongyi Wang (ORCID: https://orcid.org/0000-0002-1663-9808)
- Anqi Liu (ORCID: https://orcid.org/0000-0002-9432-4836)
- Yifei Ni
- Shiyao Wang (ORCID: https://orcid.org/0000-0003-4028-5269)
- Huaping Dai (ORCID: https://orcid.org/0000-0002-0427-1460)
- Yang Qiang
- Haoyu Yang
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- China-Japan Friendship Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-11
- DOI
- https://doi.org/10.21037/qims-24-595
- Citations
- 3
- Primary Topic
- Inflammatory Myopathies and Dermatomyositis
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Natural Science Foundation of China