导师风采
杨大为
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个人信息

Personal Information

  • 导师类别:硕士生导师
  • 性别: 男
  • 学历:硕士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:附属北京友谊医院
  • 所属专业: 影像医学与核医学
  • 邮箱 : yangdawei@ccmu.edu.cn
  • 工作电话 : 010-63138490

个人简介

Personal Profile

杨大为,男。工作于首都医科大学附属北京友谊医院放射科。医学博士,副主任医师,副教授,硕士生导师。研究方向:肝脏疾病影像诊断。发表SCI论文17篇,主持在研国家自然科学基金面上项目2项(肝细胞癌微血管侵犯、药物性肝损伤),北京市自然科学基金青年项目1项。


  • 研究方向Research Directions
肝脏疾病影像研究
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
科研项目

1、国家自然科学基金委员会,面上项目,82372043,基于MRI-血清学指标及Transformer神经网络早期精准预测药物性肝损伤急性肝衰竭的研究,2024-01至2027-12,48万元,在研,主持

2、国家自然科学基金委员会,面上项目,82071876,基于多模态磁共振影像应用迁移及深度度量学习预判肝细胞癌微血管侵犯的研究,2021-01至2024-12,55万元,在研,主持


研究成果

1. Luo Jia#, Yang Dawei#, Xu Zhengyu, Zhang Dai, Li Min, Kong Yuanyuan, Wang Xiaoming, Ou Xiaojuan, Wang Yu, Zhao Xinyan, Shan Shan, Yang Zhenghan*, Jia Jidong*. A prospective study on the differential association of sarcopenia and frailty with health outcomes in cirrhotic patients. Digestive and Liver Disease. 2023 Jul 21:S1590-8658(23)00759-4. doi: 10.1016/j.dld.2023.07.007.

2. Meng Xuxu#, Yang Dawei#, Deng Yuhui, Xu Hui, Jin He, Yang Zhenghan*. Diagnostic accuracy of MRI for assessing lymphovascular space invasion in endometrial carcinoma: a meta-analysis. Acta Radiology. 2023 Apr 26:2841851231165671. doi: 10.1177/02841851231165671.

3. Zhengyu Xu#, Dawei Yang#, Jia Luo, Hui Xu, Jidong Jia*, Zhenghan Yang*. Diagnosis of Sarcopenia Using the L3 Skeletal Muscle Index Estimated from the L1 Skeletal Muscle Index on MR Images in Patients with Cirrhosis. Journal of Magnetic Resonance Imaging. 2023, doi: 10.1002/jmri.28690.

4. Wu Ting#, Yang Dawei#, Wee Aileen, Wang Yan, Li Min, Liu Jimin, Liu Liwei, Wang Xiaopei, Li Kexin, Yang Zhenghan, Jia Jidong, Zhao Xinyan*, Ma Hong*. Identification of MRI features associated with injury type, severity, and prognosis in drug-induced liver injury. European Radiology. 2023, 33(1):666-677. doi:10.1007/s00330-022-09041-6.

5. Chen Dan#, Zhao Xinyan#, Xu Hui, Ren Hao, Liu Tianhui, Wang Yu, Yang Dawei*, Yang Zhenghan*. Noninvasive assessment of APAP (N-acetyl-p-aminophenol)-induced hepatotoxicity using multiple MRI parameters in an experimental rat model. Journal of Magnetic Resonance Imaging. 2022, 56(6):1809-1817. doi: 10.1002/jmri.28203.

6. Han Xinjun#, Wu Xinru#, Wang Shuhui, Xu Lixue, Xu Hui, Zheng Dandan, Yu Niange, Hong Yanjie, Yu Zhixuan, Yang Dawei*, Yang Zhenghan*. Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network. Insights into Imaging. 2022, 13(1): 26. doi: 10.1186/s13244-022-01163-1.

7. Zhengyu Xu#, Jia Luo#, Dawei Yang#, Hui Xu, Jidong Jia*, Zhenghan Yang*. Agreement and correlation of abdominal skeletal muscle area measured by CT and MR imaging in cirrhotic patients. BMC Medical Imaging. 2022, 22(1), 205. doi: 10.1186/s12880-022-00932-0.

8. Deng Yuhui#, Jia Xibin#, Yu Gaoyuan, Hou Jian, Xu Hui,Ren Ahong, Wang Zhenchang, Yang Dawei*, Yang Zhenghan*. Can a proposed double branch multimodality-contribution-aware TripNet improve the prediction performance of the microvascular invasion of hepatocellular carcinoma based on small samples? Frontiers in Oncology, 2022, 12: 1035775. doi: 10.3389/fonc.2022.1035775.

9. Jiang Jiahui, Wang Xiaoming, Yang Dawei*, Yang Zhenghan*. Liver involvement in a hereditary hemorrhagic telangiectasia patient with Gd-EOB-DTPA enhanced MRI: a case description. Quantitative Imaging in Medicine and Surgery. 2022;12(9):4691-4697. doi: 10.21037/qims-22-45. 

10. Xibin Jia, Zheng Sun, Qing Mi, Zhenghan Yang, Dawei Yang*. A Multimodality- Contribution-Aware tripNet for histologic grading of hepatocellular carcinoma. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, 19(4). 2003-2016. doi: 10.1109/TCBB.2021.3079216.

11. Deng Yuhui#, Li Jisheng#, Xu Hui, Ren Ahong, Wang Zhenchang, Yang Dawei*,Yang Zhenghan*. Diagnostic accuracy of the apparent diffusion coefficient for microvascular invasion in hepatocellular carcinoma: A Meta-analysis. Journal of Clinical and Translational Hepatology. 2022, 10(4): 642-650. doi: 10.14218/JCTH.2021.00254.

12. Deng Yuhui#, Yang Dawei#, Xu Hui, Ren Ahong, Yang Zhenghan*. Diagnostic performance of imaging features in the HBP of gadoxetate disodium-enhanced MRI for microvascular invasion in hepatocellular carcinoma: a meta-analysis. Acta Radiologica, 2022, 63(10): 1303-1314. doi:10.1177/02841851211038806.

13. Yue Guo, Hui Zhu, Zhiming Yao, Fugeng Liu*, Dawei Yang*. The diagnostic and predictive efficacy of 18F-FDG PET/CT metabolic parameters for EGFR mutation status in non-small-cell lung cancer: A meta-analysis. European Journal of Radiology, 2021, 141: 109792. doi: 10.1016/j.ejrad.2021.109792.

14. Yang Dawei, Li Dan, Li Jinshui, Yang Zhenghan*, Wang Zhenchang*. Systematic review: The diagnostic efficacy of gadoxetic acid-enhanced MRI for liver fibrosis staging, European Journal of Radiology, 2020, 125: 108857. doi: 10.1016/j.ejrad.2020.108857.

15. Yang Dawei#, She Hualong#, Wang Xiaopei, Yang Zhenghan*, Wang Zhenchang*. Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta-analysis. Journal of Magnetic Resonance Imaging, 2020, 51(5): 1581-1593. doi:10.1002/jmri.26963.

16. Yang Dawei#, Wang Xiaopei#, Wang Zhenchang*, Yang Zhenghan*, Bian Xuefeng. A scientometric analysis on hepatocellular carcinoma magnetic resonance imaging research from 2008 to 2017. Quantitative Imaging in Medicine and Surgery, 2019, 9(3): 465-476. doi: 10.21037/qims.2019.02.10.

17. Yang Dawei, Zhang Jie, Han Dan, Jin Erhu, Yang Zhenghan*. The role of apparent diffusion coefficient values in characterization of solid focal liver lesions: A prospective and comparative clinical study, Science China Life Science, 2017, 60(1): 16-22. doi: 10.1007/s11427-016-0387-4.


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