Application of Clinical-Radiomics Fusion Model in Predicting Drug Resistance of Cavitary Pulmonary Tuberculosis

The proposed clinical-radiomics fusion model enables accurate prediction of drug resistance in cavitary pulmonary TB, supporting the optimization of initial treatment strategies and promoting the implementation of precision medicine in TB management.

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Publication Details

Journal
Infection and Drug Resistance
Published
2026-02-01
DOI
https://doi.org/10.2147/idr.s578781
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of Clinical-Radiomics Fusion Model in Predicting Drug Resistance of Cavitary Pulmonary Tuberculosis

Xuewen Huang, Zhouhua Xie, Qingdong Zhu, Shulin Song et al.
Infection and Drug Resistance
Radiomics and Machine Learning in Medical Imaging
article

Application of Clinical-Radiomics Fusion Model in Predicting Drug Resistance of Cavitary Pulmonary Tuberculosis

Xuewen Huang, Zhouhua Xie, Qingdong Zhu, Shulin Song, Hang-Biao Qiang, Xiao-Shi Lin, Zhen-Tao Huang, Chang Song, Chun-Yan Zhao
article en

Abstract

The proposed clinical-radiomics fusion model enables accurate prediction of drug resistance in cavitary pulmonary TB, supporting the optimization of initial treatment strategies and promoting the implementation of precision medicine in TB management.

Infection and Drug ResistanceVol. Volume 19
Guangxi Medical University (CN), The Fourth People's Hospital (CN), The Second Nanning People's Hospital (CN), First People's Hospital of Nanning (CN)
Guangxi Key Research and Development Program
Good health and well-being
Openalex Percentile: Top 70%
Radiomics and Machine Learning in Medical Imaging
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