Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms

Permuth, Jennifer B., the Florida Pancreas Collaborative, Choi, Jung, Balarunathan, Yoganand, Kim, Jongphil, Chen, Dung-Tsa, Chen, Lu, Orcutt, Sonia +14 more·2016·Oncotarget

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  11. [Feasibility analysis of predicting expression of Ki67 in pancreatic cystic neoplasm based on radiomics].
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  14. Analyzing Intraductal Papillary Mucinous Neoplasms Using Artificial Neural Network Methodologic Triangulation
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  18. Additional file 1 of Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study
    Cui, Sijia, Tang, Tianyu, Su, Qiuming, Wang, Yajie, Shu, Zhenyu, Yang, Wei, Gong, Xiangyang · 2021 · Figshare
  19. AI-based radiomics for pancreatic cysts: high diagnostic performance amid a persistent translational gap
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    Fausto Petrelli, Lorenzo Dottorini, Andrea Celotti, Fausto Angelo Meriggi, Sara Cherri, Ester Oneda, Gianluca Tomasello, Michele Ghidini, Gianluca Baiocchi, Alberto Zaniboni · 2026 · Cancer Treatment Reviews
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    Saurabh Dawra, Ravi Kumar Sharma, Romika Dawra · 2026 · Springer eBooks
  23. Surgical Management of Pancreatic Cystic Neoplasms (PCNs)
    Venu Bhargava M, Surinder Singh Rana, Rajesh Gupta · 2026 · Springer eBooks
  24. CT-Derived Radiomic Signature of MUC6 Expression Improves Guideline-Based Risk Stratification in Intraductal Papillary Mucinous Neoplasms
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