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Diagnostic and Interventional Radiology (Ankara, Turkey)|June 11, 2016
Value of apparent diffusion coefficient for predicting malignancy of intraductal papillary mucinous neoplasms of the pancreasLei Zhang, Sheng Xiang Rao, Xue Feng Xu, et al.
Medicine|July 2, 2016
Value of MR histogram analyses for prediction of microvascular invasion of hepatocellular carcinomaYa-Qin Huang, He-Yue Liang, Zhao-Xia Yang, et al.
European Radiology|October 24, 2015
Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastasesHe-Yue Liang, Ya-Qin Huang, Zhao-Xia Yang, et al.
The British Journal of Radiology|October 1, 2020
CT-detected extramural venous invasion is corelated with presence of lymph node metastasis and progression-free survival in gastric cancerYu-Tao Yang, San-Yuan Dong, Jue Zhao, et al.
Cancer Management and Research|August 25, 2021
Analysis of m6A-Related lncRNAs for Prognosis Value and Response to Immune Checkpoint Inhibitors Therapy in Hepatocellular CarcinomaYi Wang, Na Li, Di Tian, et al.
BMC Cancer|March 25, 2022
Comprehensive analysis of tumor immune microenvironment and prognosis of m6A-related lncRNAs in gastric cancerYi Wang, Gui-Qi Zhu, Di Tian, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|August 21, 2020
Magnetic resonance morphologic features predict progression of incidental pancreatic cystic lesions during follow-upShuo Zhu, Wen-Tao Wang, Wen-Chuan Wu, et al.
European Radiology|January 15, 2021
Identifying response in colorectal liver metastases treated with bevacizumab: development of RECIST by combining contrast-enhanced and diffusion-weighted MRILi-Heng Liu, Guo-Feng Zhou, Han Lv, et al.
Hepato-Gastroenterology|August 12, 2011
Small solid tumors (< or = 2 cm) of the pancreas: relative accuracy and differentiation of CT and MR imagingSheng-Xiang Rao, Meng-Su Zeng, Wei-Zhong Cheng, et al.
Abdominal Imaging|August 15, 2013
Primary hepatic neuroendocrine carcinoma: MR imaging findings including preliminary observation on diffusion-weighted imagingRuo-Kun Li, Jing Zhao, Sheng-Xiang Rao, et al.
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