U-Net-based computed tomography quantification of viral pneumonia can predict fibrotic interstitial lung abnormalities at 3-month follow-up
U-Net based quantification of pneumonia lesion and BV5% on baseline CT scan has the potential to predict fibrotic ILAs at follow-up in COVID-19 patients.
Authors
- Lan Song (ORCID: https://orcid.org/0000-0001-6598-6964)
- Wei Song (ORCID: https://orcid.org/0000-0002-8395-9991)
- Zhengyu Jin
- Zhengsong Pan (ORCID: https://orcid.org/0000-0001-9226-5572)
- Jinhua Wang (ORCID: https://orcid.org/0000-0001-7912-4759)
- Zhen Zhou (ORCID: https://orcid.org/0000-0003-0230-9688)
- Weixiong Tan (ORCID: https://orcid.org/0000-0003-0755-7066)
- Zifeng Wu (ORCID: https://orcid.org/0000-0002-0990-233X)
- Zhenchen Zhu (ORCID: https://orcid.org/0000-0001-7980-4359)
- Ge Hu
- Wei Han (ORCID: https://orcid.org/0000-0003-0809-5465)
- Zhoumeng Ying
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Center for High Pressure Science & Technology Advanced Research (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-09-30
- DOI
- https://doi.org/10.3389/fmed.2024.1435337
- Citations
- 2
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Science and Technology Major Project