Xue Dong
9 Papers
Xue Dong is an academic researcher. The author has contributed to research in topics: Medicine & Confidence interval. The author has an hindex of 2, co-authored 8 publications.
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Papers
Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.
Xue Dong,Jiawen Yang,Binhao Zhang,Yujing Li,Guanliang Wang,Jinyao Chen,Yuguo Wei,Huangqi Zhang,Qingqing Chen,Shengze Jin,Meifu Gan,Wenbin Ji +11 more
TL;DR: In this article , a deep learning radiomic (DLR) model of dynamic contrastenhanced MRI (DCE-MRI) was developed and validated for the preoperative discrimination of VETC and prognosis of hepatocellular carcinoma (HCC).
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Preoperative MRI features for characterization of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma
Jiawen Yang,Xue Dong,Guanliang Wang,Jinyao Chen,Binhao Zhang,Wenting Pan,Huangqi Zhang,Shengze Jin,Wenbin Ji +8 more
TL;DR: Based on DCE-MRI, intratumor vascularity can be used to characterize VM-HCC and is of prognostic significance for recurrence in patients with HCC.
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Can Radiomics Provide Additional Diagnostic Value for Identifying Adrenal Lipid-Poor Adenomas From Non-Adenomas on Unenhanced CT?
Binhao Zhang,Huangqi Zhang,Xian Li,Shengze Jin,Jiawen Yang,Wenting Pan,Xue Dong,Jin Chen,Wenbin Ji +8 more
TL;DR: The authors' unenhanced CT-based nomogram model could effectively distinguish adrenal lipid-poor adenomas and the diagnostic power of conventional unenhancing CT imaging features may be underestimated, and further exploration is worthy.
A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer
Huanhuan Liu,Hongkun Yin,Jinning Li,Xue Dong,Hui Zheng,Ting T Zhang,Qiufeng Yin,Zhongyang Zhang,Minda Lu,Huiling Zhang,Dengbin Wang +10 more
TL;DR: The proposed combined DL model incorporating T2WI and clinical factors may show good diagnostic performance and could potentially serve as a supplementary approach for noninvasively evaluating KRAS mutation in rectal cancer.
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Preoperative Contrast-Enhanced MRI in Differentiating Glioblastoma From Low-Grade Gliomas in The Cancer Imaging Archive Database: A Proof-of-Concept Study
TL;DR: An MRI radiomics-based random forest model was proven useful in differentiating GBM from LGG and showed better diagnostic performance than that of two inexperienced radiologists.