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Hao JG, Wang JP, Gu YL, Lu ML. Importance of |
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| URL: | https://www.wjgnet.com/1007-9327/full/v19/i39/6651.htm |
| Number | Citing Articles |
| 1 |
Renye Que, Yirong Chen, Zhihui Tao, Bingjing Ge, Miaohua Li, Zhiquan Fu, Yong Li. Diffusion-weighted MRI versus FDG-PET/CT for diagnosing pancreatic cancer: an indirect comparison meta-analysis. Acta Radiologica 2020; 61(11): 1473 doi: 10.1177/0284185120907246
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| 3 |
Nicolò Brandi, Matteo Renzulli. Towards a Simplified and Cost-Effective Diagnostic Algorithm for the Surveillance of Intraductal Papillary Mucinous Neoplasms (IPMNs): Can We Save Contrast for Later?. Cancers 2024; 16(5): 905 doi: 10.3390/cancers16050905
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| 4 |
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| 5 |
Amr F. Mourad, Mona M. Sayed, Hussein Fakhry. Is magnetic resonance diffusion-weighted imaging superior in the diagnosis of pancreatic adenocarcinoma and does it have a prognostic value?. The Egyptian Journal of Radiology and Nuclear Medicine 2018; 49(4): 908 doi: 10.1016/j.ejrnm.2018.06.001
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| 6 |
Guolan Wang, Xiaohong Xue, Yifei Chen, Hao Liu, Haifang Li, Qianshan Wang, Wang Zhan. RISNet: A variable multi-modal image feature fusion adversarial neural network for generating specific dMRI images. PLOS One 2025; 20(10): e0329653 doi: 10.1371/journal.pone.0329653
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| 7 |
Ravneet Vohra, Yak-Nam Wang, Helena Son, Stephanie Totten, Akshit Arora, Adam Maxwell, Donghoon Lee. Non-Invasive Monitoring of Increased Fibrotic Tissue and Hyaluronan Deposition in the Tumor Microenvironment in the Advanced Stages of Pancreatic Ductal Adenocarcinoma. Cancers 2022; 14(4): 999 doi: 10.3390/cancers14040999
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