Author

Zong-Yu Xie

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Sep 2026

Cross-phase attention-based multi-phase CT deep learning for preoperative risk stratification of gastric gastrointestinal stromal tumors in a multicenter study.

PURPOSE To develop and externally validate a multi-phase CT deep learning framework for preoperative risk stratification of 2-5 cm gastric gastrointestinal stromal tumors (GISTs). METHODS This retrospective multicenter study included 427 patients with pathologically confirmed gastric GISTs. At Center A, patients trea...

Si-Hang Guo, Cheng-Ze Yu, Jian-Ying Xu et al. · European Journal of Radiolog... · 0 citations

Open access Oct 2026

Super‐Resolution MRI–Derived Tumor‐Stroma Ratio Phenotyping for Prognostic and Therapeutic Stratification in Pancreatic Ductal Adenocarcinoma

A super‐resolution MRI (srMRI)–based radiomics model is developed to enable noninvasive tumor‐stroma ratio (TSR) phenotyping in PDAC, enabling improved recurrence‐risk stratification and pre‐treatment clinical assessment.

Xing-Xing Wang, Zong-Yu Xie, Han Li et al. · MedComm · 0 citations

Open access Sep 2026

Multiphasic enhanced CT-based radiomics signature for differentiating adrenal metastases from lipid-poor adrenal adenomas

To investigate the diagnostic value of machine learning models based on CT radiomics in differentiating adrenal metastases (AMs) from lipid-poor adenomas (LPAs). A total of 212 patients with AMs and 213 patients with LPAs were retrospectively analyzed based on CT images from the First Affiliated Hospital o...

F. Zhu, Hui Wang, Heng-Feng Shi et al. · BMC Medical Imaging · 0 citations

Open access Sep 2026

An interpretable machine learning framework using multi-phase computed tomography for differentiation of adrenal lipid-poor adenomas and pheochromocytomas

The DT model strikes an optimal balance between high diagnostic accuracy and inherent interpretability, offering a practical tool that may enhance clinical confidence when managing indeterminate adrenal lesions.

Pan-Liang Zhao, F. Zhu, C. Yan et al. · Frontiers in Artificial Inte... · 0 citations

Jul 2026

Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in pancreatic cancer.

By translating adverse CAF subpopulation signatures into a CT-based topological biomarker, ra-CAPR enables individualized preoperative risk stratification and may facilitate risk-adapted postoperative management.

Ling-Ling Wang, Zong-Yu Xie, Qi-Ying Tang et al. · European Journal of Radiolog... · 0 citations