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Author

Xi-Ming Wang

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Open access Sep 2026

Assessment of coronary plaque progression using the plaque-specific pericoronary fat attenuation index and fractional flow reserve.

This study evaluated the plaque-specific fat attenuation index (FAI), a patient-level measure representing the weighted average FAI across all detected coronary plaques, and computed tomography fractional flow reserve (CT-FFR) for predicting coronary plaque progression (PP). This retrospective analysis included 1560 pa...

Jia-Ze Zhang, Yu-Meng Liu, Bang-Jun Guo et al. · 0 citations
Open access Sep 2026

Interpretable prediction of macrotrabecular-massive HCC and recurrence-free survival by integrating MRI LI-RADS features with deep learning habitat radiomics

Macrotrabecular-massive (MTM+) hepatocellular carcinoma (HCC) is associated with poor prognosis and early recurrence. We developed and validated a nomogram integrating magnetic resonance imaging LI-RADS features with deep learning (DL) habitat radiomics for preoperative prediction of MTM + HCC and stratifying patients...

Meng-Wei Zhang, Qian Wu, Mo Zhu et al. · 0 citations
Open access Sep 2026

Tri-modal PSMA PET/CT-MRI-US fusion biopsy for clinically significant prostate cancer: a prospective paired diagnostic study.

PURPOSE Multiparametric MRI (mpMRI)-ultrasound (US) fusion biopsy misses 8%-20% of clinically significant prostate cancer (csPCa), leaving a detection gap that prostate-specific membrane antigen (PSMA) PET/CT may help close. Whether incorporating PSMA into an MRI-US fusion platform improves csPCa detection has not been...

Chen Huang, Li-Chen Jin, Yi-Zhang Sun et al. · 0 citations
Jul 2026

Preoperative prediction of positive surgical margins in prostate cancer using multimodal deep learning model: a multicenter study.

The MDESM model, based on a feature disentanglement and multimodal fusion strategy, demonstrates the potential to effectively combine MRI and clinical data to achieve accurate PSM prediction and offers a promising tool for preoperative risk stratification and surgical planning in prostate cancer.

Xu Fu, J. Bao, Xiao-Meng Qiao et al. · 0 citations

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