For: | De Robertis R, Cingarlini S, Tinazzi Martini P, Ortolani S, Butturini G, Landoni L, Regi P, Girelli R, Capelli P, Gobbo S, Tortora G, Scarpa A, Pederzoli P, D’Onofrio M. Pancreatic neuroendocrine neoplasms: Magnetic resonance imaging features according to grade and stage. World J Gastroenterol 2017; 23(2): 275-285 [PMID: 28127201 DOI: 10.3748/wjg.v23.i2.275] |
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URL: | https://www.wjgnet.com/1007-9327/full/v23/i2/275.htm |
Number | Citing Articles |
1 |
Wouter Mebis, Annemiek Snoeckx, Bob Corthouts, Haroun El Addouli, Simon Nicolay, Astrid Van Hoyweghen, Maarten Spinhoven, Bart Op de Beeck. Correlation Between Apparent Diffusion Coefficient Value on MRI and Histopathologic WHO Grades of Neuroendocrine Tumors. Journal of the Belgian Society of Radiology 2020; 104(1) doi: 10.5334/jbsr.1925
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2 |
Cheng Wang, Tingting Lin, Xin Chen, Wenjing Cui, Chuangen Guo, Zhongqiu Wang, Xiao Chen. The association between pain and WHO grade of pancreatic neuroendocrine neoplasms: A multicenter study. Cancer Biomarkers 2023; 36(4): 279 doi: 10.3233/CBM-220080
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3 |
Chuangen Guo, Xiao Chen, Zhongqiu Wang, Wenbo Xiao, Qidong Wang, Ke Sun, Xiaoling Zhuge. Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance imaging: The value of contrast-enhanced and diffusion weighted imaging. Oncotarget 2017; 8(26): 42962 doi: 10.18632/oncotarget.17309
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4 |
Xuan Gao, Xiaolin Wang. Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study. International Journal of Computer Assisted Radiology and Surgery 2019; 14(11): 1981 doi: 10.1007/s11548-019-02070-5
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5 |
Sara Massironi, Marianna Franchina, Davide Ippolito, Federica Elisei, Olga Falco, Cesare Maino, Fabio Pagni, Alessandra Elvevi, Luca Guerra, Pietro Invernizzi. Improvements and future perspective in diagnostic tools for neuroendocrine neoplasms. Expert Review of Endocrinology & Metabolism 2024; 19(4): 349 doi: 10.1080/17446651.2024.2363537
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6 |
Xiao-Lei Gu, Yong Cui, Hai-Tao Zhu, Xiao-Ting Li, Xiang Pei, Xiao-Xiao He, Li Yang, Ming Lu, Zhong-Wu Li, Ying-Shi Sun. Discrimination of Liver Metastases of Digestive System Neuroendocrine Tumors From Neuroendocrine Carcinoma by Computed Tomography–Based Radiomics Analysis. Journal of Computer Assisted Tomography 2023; 47(3): 361 doi: 10.1097/RCT.0000000000001443
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7 |
Riccardo De Robertis, Bogdan Maris, Nicolò Cardobi, Paolo Tinazzi Martini, Stefano Gobbo, Paola Capelli, Silvia Ortolani, Sara Cingarlini, Salvatore Paiella, Luca Landoni, Giovanni Butturini, Paolo Regi, Aldo Scarpa, Giampaolo Tortora, Mirko D’Onofrio. Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors?. European Radiology 2018; 28(6): 2582 doi: 10.1007/s00330-017-5236-7
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8 |
Filippo Borri, Rita Bonfiglio, Martina Mandarano. Hepato-Pancreato-Biliary Malignancies. 2021; : 1 doi: 10.1007/978-3-030-37482-2_37-1
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9 |
Haitao Sun, Shilong Zhang, Kai Liu, Jianjun Zhou, Xingxing Wang, Tingting Shen, Xiaolin Wang. Predictive value of preoperative MRI features for the Ki-67 index in well-differentiated G1/G2 pancreatic neuroendocrine tumors. Acta Radiologica 2019; 60(11): 1394 doi: 10.1177/0284185119840212
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10 |
Nils Martin Bruckmann, Christoph Rischpler, Julian Kirchner, Lale Umutlu, Ken Herrmann, Marc Ingenwerth, Sarah Theurer, Harald Lahner, Gerald Antoch, Lino M. Sawicki. Correlation between contrast enhancement, standardized uptake value (SUV), and diffusion restriction (ADC) with tumor grading in patients with therapy-naive neuroendocrine neoplasms using hybrid 68Ga-DOTATOC PET/MRI. European Journal of Radiology 2021; 137: 109588 doi: 10.1016/j.ejrad.2021.109588
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11 |
Rui Long Zong, Li Geng, Xiaohong Wang, Daohai Xie. Diagnostic Performance of Apparent Diffusion Coefficient for Prediction of Grading of Pancreatic Neuroendocrine Tumors. Pancreas 2019; 48(2): 151 doi: 10.1097/MPA.0000000000001212
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12 |
Shuangyang Mo, Yingwei Wang, Cheng Huang, Wenhong Wu, Shanyu Qin. A novel endoscopic ultrasomics-based machine learning model and nomogram to predict the pathological grading of pancreatic neuroendocrine tumors. Heliyon 2024; 10(14): e34344 doi: 10.1016/j.heliyon.2024.e34344
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13 |
Shuai Ren, Lichao Qian, Marcus J. Daniels, Shaofeng Duan, Rong Chen, Zhongqiu Wang. Evaluation of contrast-enhanced computed tomography for the differential diagnosis of hypovascular pancreatic neuroendocrine tumors from chronic mass-forming pancreatitis. European Journal of Radiology 2020; 133: 109360 doi: 10.1016/j.ejrad.2020.109360
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14 |
Ameya D Puranik, Clarisse Dromain, Neil Fleshner, Mike Sathekge, Marianne Pavel, Nina Eberhardt, Friedemann Zengerling, Ralf Marienfeld, Michael Grunert, Vikas Prasad. Target Heterogeneity in Oncology: The Best Predictor for Differential Response to Radioligand Therapy in Neuroendocrine Tumors and Prostate Cancer. Cancers 2021; 13(14): 3607 doi: 10.3390/cancers13143607
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15 |
Dao-Hui Yang, Juan Cheng, Xiao-Fan Tian, Qi Zhang, Ling-Yun Yu, Yi-Jie Qiu, Xiu-Yun Lu, Wen-Hui Lou, Yi Dong, Wen-Ping Wang. Prediction of Pathological Grades of Pancreatic Neuroendocrine Tumors Based on Dynamic Contrast-Enhanced Ultrasound Quantitative Analysis. Diagnostics 2023; 13(2): 238 doi: 10.3390/diagnostics13020238
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16 |
Hai-bin Zhu, Pei Nie, Liu Jiang, Juan Hu, Xiao-Yan Zhang, Xiao-Ting Li, Ming Lu, Ying-Shi Sun. Preoperative prediction of lymph node metastasis in nonfunctioning pancreatic neuroendocrine tumors from clinical and MRI features: a multicenter study. Insights into Imaging 2022; 13(1) doi: 10.1186/s13244-022-01301-9
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17 |
Jingjing Lu, Xiaohong Li, Fei Wang, Yibing Guo, Yan Huang, Hui Zhu, Yao Wang, Yuhua Lu, Zhiwei Wang. YB-1 expression promotes pancreatic cancer metastasis that is inhibited by microRNA-216a. Experimental Cell Research 2017; 359(2): 319 doi: 10.1016/j.yexcr.2017.07.039
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18 |
Ekaterina Khristenko, Matthias M. Gaida, Christine Tjaden, Verena Steinle, Martin Loos, Korbinian Krieger, Tim F. Weber, Hans-Ulrich Kauczor, Miriam Klauß, Philipp Mayer. Imaging differentiation of solid pseudopapillary neoplasms and neuroendocrine neoplasms of the pancreas. European Journal of Radiology Open 2024; 12: 100576 doi: 10.1016/j.ejro.2024.100576
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19 |
Myles T. Taffel, Lyndon Luk, Justin M. Ream, Andrew B. Rosenkrantz. Exploratory Study of Apparent Diffusion Coefficient Histogram Metrics in Assessing Pancreatic Malignancy. Canadian Association of Radiologists Journal 2019; 70(4): 416 doi: 10.1016/j.carj.2019.07.001
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20 |
Thomas K. Helmberger, Riccardo Manfredi. Diseases of the Abdomen and Pelvis 2023-2026. IDKD Springer Series 2023; : 131 doi: 10.1007/978-3-031-27355-1_9
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21 |
Dongsheng Gu, Yabin Hu, Hui Ding, Jingwei Wei, Ke Chen, Hao Liu, Mengsu Zeng, Jie Tian. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study. European Radiology 2019; 29(12): 6880 doi: 10.1007/s00330-019-06176-x
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22 |
Jing Gao, Si Xu, Huijun Ju, Yu Pan, Yifan Zhang. The potential application of MR-derived ADCmin values from 68Ga-DOTATATE and 18F-FDG dual tracer PET/MR as replacements for FDG PET in assessment of grade and stage of pancreatic neuroendocrine tumors. EJNMMI Research 2023; 13(1) doi: 10.1186/s13550-023-00960-z
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23 |
Carlos Bilreiro, Celso Matos. Diffusion Weighted Imaging of the Hepatobiliary System. 2021; : 113 doi: 10.1007/978-3-319-62977-3_6
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24 |
Yun Bian, Jing Li, Kai Cao, Xu Fang, Hui Jiang, Chao Ma, Gang Jin, Jianping Lu, Li Wang. Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs. Abdominal Radiology 2021; 46(2): 667 doi: 10.1007/s00261-020-02706-0
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25 |
Filippo Borri, Rita Bonfiglio, Martina Mandarano. Hepato-Pancreato-Biliary Malignancies. 2022; : 639 doi: 10.1007/978-3-030-41683-6_37
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26 |
Yu-Liang Liu, Hai-Bin Zhu, Mai-Lin Chen, Wei Sun, Xiao-Ting Li, Ying-Shi Sun. Prediction of the lymphatic, microvascular, and perineural invasion of pancreatic neuroendocrine tumors using preoperative magnetic resonance imaging. World Journal of Gastrointestinal Surgery 2023; 15(12): 2809-2819 doi: 10.4240/wjgs.v15.i12.2809
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27 |
Yabin Hu, Shengxiang Rao, Xiaolin Xu, Yibo Tang, Mengsu Zeng. Grade 2 pancreatic neuroendocrine tumors: overbroad scope of Ki-67 index according to MRI features. Abdominal Radiology 2018; 43(11): 3016 doi: 10.1007/s00261-018-1573-5
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Ke Chen, Wenming Zhang, Zhaozhen Zhang, Yiping He, Yuan Liu, Xiujiang Yang. Simple Vascular Architecture Classification in Predicting Pancreatic Neuroendocrine Tumor Grade and Prognosis. Digestive Diseases and Sciences 2018; 63(11): 3147 doi: 10.1007/s10620-018-5240-z
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Qianfeng Zhuang, Min Fan, Jie Shen, Zhen Chen, Dong Xue, Hao Lu, Renfang Xu, Xiaozhou He, Jianquan Hou. Overexpression of Capns1 Predicts Poor Prognosis and Correlates with Tumor Progression in Renal Cell Carcinoma. Urologia Internationalis 2021; 105(7-8): 697 doi: 10.1159/000511638
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Wei Li, Chao Xu, Zhaoxiang Ye. Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.758062
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Hai-Bin Zhu, Hai-Tao Zhu, Liu Jiang, Pei Nie, Juan Hu, Wei Tang, Xiao-Yan Zhang, Xiao-Ting Li, Qian Yao, Ying-Shi Sun. Radiomics analysis from magnetic resonance imaging in predicting the grade of nonfunctioning pancreatic neuroendocrine tumors: a multicenter study. European Radiology 2023; 34(1): 90 doi: 10.1007/s00330-023-09957-7
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Amandeep Singh, John J. Hines, Barak Friedman. Multimodality Imaging of the Pancreatic Neuroendocrine Tumors. Seminars in Ultrasound, CT and MRI 2019; 40(6): 469 doi: 10.1053/j.sult.2019.04.005
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Thomas K. Helmberger, Riccardo Manfredi. Diseases of the Abdomen and Pelvis 2018-2021. IDKD Springer Series 2018; : 145 doi: 10.1007/978-3-319-75019-4_14
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Grace C. Lo, Avinash Kambadakone. MR Imaging of Pancreatic Neuroendocrine Tumors. Magnetic Resonance Imaging Clinics of North America 2018; 26(3): 391 doi: 10.1016/j.mric.2018.03.010
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Hanna R. Ferreira Dalla Pria, Kedar G. Sharbidre, Mayur Virarkar, Sanaz Javadi, Hrishabh Bhosale, Jessica Maxwell, Chandana Lall, Ajaykumar C. Morani. Imaging Update for Hereditary Abdominopelvic Neuroendocrine Neoplasms. Journal of Computer Assisted Tomography 2023; doi: 10.1097/RCT.0000000000001547
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Nicole Segaran, Catherine Devine, Mindy Wang, Dhakshinamoorthy Ganeshan. Current update on imaging for pancreatic neuroendocrine neoplasms. World Journal of Clinical Oncology 2021; 12(10): 897-911 doi: 10.5306/wjco.v12.i10.897
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38 |
Riccardo De Robertis, Nicolò Cardobi, Silvia Ortolani, Paolo Tinazzi Martini, Alto Stemmer, Robert Grimm, Stefano Gobbo, Giovanni Butturini, Mirko D’Onofrio. Intravoxel incoherent motion diffusion-weighted MR imaging of solid pancreatic masses: reliability and usefulness for characterization. Abdominal Radiology 2019; 44(1): 131 doi: 10.1007/s00261-018-1684-z
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