Computed tomography-based radiomics prediction model for differentiating invasive pulmonary aspergillosis and Pneumocystis jirovecii pneumonia

Computed tomography-based radiomics prediction model for differentiating invasive pulmonary aspergillosis and Pneumocystis jirovecii pneumonia

BackgroundPneumocystis jirovecii and Aspergillus fumigatus are important pathogens that cause fungal pulmonary infections. Because the manifestations of P. jirovecii pneumonia (PJP) or invasive pulmonary aspergillosis (IPA) are difficult to differentiate on computed tomography (CT) images and the tr...

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Bibliographic Details
Main Authors: Zhiguo Peng, Xingzhe Gao, Miao He, Xinyue Dong, Dongdong Wang, Zhengjun Dai, Dexin Yu, Huaibin Sun, Jun Tian, Yu Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
invasive pulmonary aspergillosis
Pneumocystis jirovecii pneumonia
discriminant model
radiomics
CT
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2025.1552556/full
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https://www.frontiersin.org/articles/10.3389/fcimb.2025.1552556/full

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