Author

Ming Shuai

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Open access Sep 2026

Deep learning CT signature for predicting early liver metastases in pancreatic ductal adenocarcinoma

Accurately predicting the risk of early liver metastases (ELM) and identifying patients who are most likely to benefit from neoadjuvant therapy (NAT) are critical for pancreatic ductal adenocarcinoma (PDAC). Here, we develop a Mamba-based predictive model that integrates imaging features from both the primary pancreati...

Ben Zhao, Zhi-Fang Gong, W. Xiao et al. · Nature Communications · 0 citations

Open access Sep 2026

Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting lymph node metastasis in pancreatic ductal adenocarcinoma

Lymph node metastasis (LNM) is a critical prognostic factor in pancreatic ductal adenocarcinoma (PDAC), but preoperative prediction remains challenging. This study aimed to evaluate the predictive value of combining dual-energy CT (DECT) multiparameters with clinical indicators for LNM in PDAC, and to develop a p...

Hong-Ji Zhu, Ming Shuai, Peng Cheng et al. · BMC Medical Imaging · 0 citations