Development and internal validation of a CT radiomics-based model for severity classification in HIV-associated Pneumocystis jirovecii pneumonia
Yu Wang, Wei Wang, Caopei Zheng, Yuqing Sun, Budong Chen, Yulin Zhang · 2026
Read Development and internal validation of a CT radiomics-based model for severity classification in HIV-associated Pneumocystis jirovecii pneumonia by Yu Wang, Wei Wang, Caopei Zheng, Yuqing Sun, Budong Chen, Yulin Zhang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13266726.txt.
Description
Yu Wang and colleagues build in 2026 a model that grades severity of Pneumocystis pneumonia in adults living with HIV, using chest CT scans. Standard grading relies on blood oxygen measures, which may miss how unevenly the lungs are involved. The single-center study included 96 confirmed cases, split into training and test groups.
A radiomics model, which turns scan patterns into numbers, used ten selected features from both lungs. It separated mild from moderate-to-severe disease well in training and test sets, performing at least as well as a model based on blood tests and CD4 count. The authors stress that the small sample needs outside validation before clinical use.
Catalog record
| CREATOR | Yu Wang, Wei Wang, Caopei Zheng, Yuqing Sun, Budong Chen, Yulin Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |