BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Tang MY, Zhang XM, Chen TW, Huang XH. Various diffusion magnetic resonance imaging techniques for pancreatic cancer. World J Radiol 2015; 7(12): 424-437 [PMID: 26753059 DOI: 10.4329/wjr.v7.i12.424]
URL: https://www.wjgnet.com/1949-8470/full/v7/i12/424.htm
Number Citing Articles
1
Francescamaria Donati, Piero Boraschi, Rosa Cervelli, Federica Pacciardi, Carlo Lombardo, Ugo Boggi, Fabio Falaschi, Davide Caramella. 3 T MR perfusion of solid pancreatic lesions using dynamic contrast-enhanced DISCO sequence: Usefulness of qualitative and quantitative analyses in a pilot studyMagnetic Resonance Imaging 2019; 59: 105 doi: 10.1016/j.mri.2019.03.001
2
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-analysisActa Radiologica 2020; 61(11): 1473 doi: 10.1177/0284185120907246
3
Ricardo P. Martinho, Qingjia Bao, Stefan Markovic, Dina Preise, Keren Sasson, Lilach Agemy, Avigdor Scherz, Lucio Frydman. Identification of variable stages in murine pancreatic tumors by a multiparametric approach employing hyperpolarized 13C MRSI, 1H diffusivity and 1H T1 MRINMR in Biomedicine 2021; 34(2) doi: 10.1002/nbm.4446
4
María Jiménez-González, Sandra Plaza-García, Janire Arizeta, Silvia Bianchessi, César Trigueros, Torsten Reese, Aamir Ahmad. A longitudinal MRI study on lymph nodes histiocytosis of a xenograft cancer modelPLOS ONE 2017; 12(7): e0181043 doi: 10.1371/journal.pone.0181043
5
Kazuki Oyama, Fumihito Ichinohe, Yasuo Adachi, Yoshihiro Kito, Katsuya Maruyama, Minoru Mitsuda, Thomas Benkert, Omar Darwish, Yasunari Fujinaga. Improvement of image quality of diffusion-weighted imaging (DWI) with deep learning reconstruction of the pancreas: comparison with respiratory-gated conventional DWIJapanese Journal of Radiology 2025;  doi: 10.1007/s11604-025-01790-w
6
Leif Jansson, Per‐Ola Carlsson. Comprehensive Physiology2019; : 799 doi: 10.1002/cphy.c160050
7
Leif Jansson, Per‐Ola Carlsson. Pancreatic Blood Flow with Special Emphasis on Blood Perfusion of the Islets of LangerhansComprehensive Physiology 2019; 9(2): 799 doi: 10.1002/j.2040-4603.2019.tb00068.x
8
Tingting Xu, Lin Zhang, Hong Xu, Sifeng Kang, Yali Xu, Xiaoyu Luo, Ting Hua, Guangyu Tang. Prediction of low-risk breast cancer using quantitative DCE-MRI and its pathological basisOncotarget 2017; 8(69): 114360 doi: 10.18632/oncotarget.22267
9
Ting Yang, Ying Li, Zheng Ye, Shan Yao, Qing Li, Yuan Yuan, Bin Song. Diffusion Weighted Imaging of the Abdomen and Pelvis: Recent Technical Advances and Clinical ApplicationsAcademic Radiology 2023; 30(3): 470 doi: 10.1016/j.acra.2022.07.018
10
Georgios C. Manikis, Kostas Marias, Doenja M. J. Lambregts, Katerina Nikiforaki, Miriam M. van Heeswijk, Frans C. H. Bakers, Regina G. H. Beets-Tan, Nikolaos Papanikolaou, Zhen Jin. Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian modelsPLOS ONE 2017; 12(9): e0184197 doi: 10.1371/journal.pone.0184197
11
Martina Sbarra, Matteo Napoleone, Alessandro Cina, Carmine Di Stasi, Gennaro Restaino, Riccardo Manfredi. Endotherapy in Biliopancreatic Diseases: ERCP Meets EUS2020; : 125 doi: 10.1007/978-3-030-42569-2_11
12
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Raffaele Palaia, Vittorio Albino, Mauro Piccirillo, Robert Grimm, Antonella Petrillo, Francesco Izzo. Diffusion kurtosis imaging and conventional diffusion weighted imaging to assess electrochemotherapy response in locally advanced pancreatic cancerRadiology and Oncology 2019; 53(1): 15 doi: 10.2478/raon-2019-0004
13
Stefan Markovic, Tangi Roussel, Lilach Agemy, Keren Sasson, Dina Preise, Avigdor Scherz, Lucio Frydman. Deuterium MRSI characterizations of glucose metabolism in orthotopic pancreatic cancer mouse modelsNMR in Biomedicine 2021; 34(9) doi: 10.1002/nbm.4569