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Author

Qingqing Fang

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Open access Oct 2026

Prediction of residual stones after ESWL for ureteral calculi using deep learning-radiomics-based stone heterogeneity and body composition: an interaction analysis

To investigate the association between deep learning-radiomics-based stone heterogeneity, body composition, and residual stones after extracorporeal shock wave lithotripsy (ESWL) for ureteral calculi. This retrospective study included 200 patients with ureteral stones who underwent ESWL between January 2024...

Shu-Min Wei, Qing-Qing Fang, Lin Zhang et al. · 0 citations
Open access Jul 2026

Incremental predictive value of a CT-based deep learning radiomics model for differentiating benign and malignant pleural effusions

The DL-radiomics-based Radscore is a promising quantitative biomarker for differentiating MPE from BPE and provides meaningful incremental value, refining the accuracy of risk probability estimation in patients with pleural effusion.

Chun Cao, Jiang Liu, Qingqing Fang et al. · 0 citations

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