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导师基本信息

  • 姓名:孙应实
  • 性别:
  • 民族:汉族
  • 科室:医学影像科
  • 职称:主任医师 ,教授
  • 专业:影像医学与核医学
  • E-MAIL: sunysabc@163.com

学术论文 | 研究方向 | 科研项目

李英,唐磊,付佳,李晓婷,李子禹,孙应实*.多层螺旋CT的肿瘤优势供血动脉征对胰胃间隙外生型肿瘤的定位诊断价值.,中华放射学杂志,2019;53(7):564-568

Yu-Hong Qu#,Hai-Tao Zhu#,Kun Cao,Xiao-Ting Li,Meng Ye,Ying-Shi Sun*. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using a Deep Learning (DL) Method.,Thoracic Cancer,2020;11(3): 651-658.

Mailin Chen, Xiaoting Li, Yiyuan Wei, Liping Qi, Ying-Shi Sun*.Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma,Chinese Journal of Cancer Research,2020;32(1):96-104

Hai-tao Zhu#, Xiao-yan Zhang#, Xiao-ting Li, Yan-jie Shi, Hui-ci Zhu, Ying-shi Sun*. Prediction of Pathological Nodal Stage of Locally Advanced Rectal Cancer by the Collective Features of Multiple Lymph Nodes in the Magnetic Resonance Images before and after Neoadjuvant Chemoradiotherapy,Chin J Can Res,2019,31(6):1-9

Rui-Jia Sun, Lin Wang, Xiao-Ting Li, Qiao-Yuan Lu, Xiao-Yan Zhang, Zhen Guan, Ying-Shi Sun*. Baseline MRI detected lateral lymph node as a prognostic factor: a cohort study in pN0 low-risk rectal cancer.,Journal of Cancer Research and Clinical Oncology,2020;146(3):739-748

308. Kun Cao, Bo Zhao, Xiao-Ting Li, Yan-Ling Li and Ying-Shi Sun*.Texture analysis of dynamic contrast-enhanced MRI in evaluating pathologic complete response (pCR) of mass-like breast cancer after neoadjuvant therapy,Journal of Oncology,2019: 4731532

Chen ML, Shi AH, Li XT, Wei YY, Qi LP, Sun YS*. Is there any correlation between spectral CT imaging parameters and PD-L1 expression of lung adenocarcinoma?,Thorac Cancer.,2020;11:362-368.

Bo Zhao#, Kun Cao#, Xiao-Ting Li, Hai-Tao Zhu, Ying-Shi Sun*. Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy,BMC Cancer,2019;19:1115

Wang S#, Li X-T#, Zhang X-Y, Sun R-J, Qu Y-H, Zhu H-C, Sun Y-S. MRI evaluation of extramural vascular invasion by inexperienced radiologists.,Br J Radiol,2019; 92: 20181055.

Xiao-Yan Zhang#, Lin Wang#, Hai-Tao Zhu, Zhong-Wu Li, Meng Ye, Xiao-Ting Li, Yan-Jie Shi, Hui-Ci Zhu, Ying-Shi Sun*. Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.,Radiology,2020;296(1):56-64

Shun-Yu Gao, Lei Tang, Yong Cui, Xiao-Ting Li, Xiao-Yan Zhang, Jun Shan, Ying-Shi Sun*, Xiao-Peng Zhang.Tumor angiogenesis-related parameters in multi-phase enhanced CT correlated with outcomes of hepatocellular carcinoma patients after radical hepatectomy, ,Eur J Surg Oncol ,42(4):538-544

龙蓉,曹崑,曹敏,李海蛟,孙应实*. 对比增强能谱乳腺X线摄影诊断乳腺影像报告和数据系统4类钙化,中国医学影像技术,2019,35(4):498-502

Shi YJ, Li XT, Zhang XY, Liu YL, Tang L, Sun YS*.Differential diagnosis of hemangiomas from spinal osteolytic metastases using 3.0 T MRI: comparison of T1-weighted imaging, chemical-shift imaging, diffusion-weighted and contrast-enhanced imaging ,Oncotarget ,24;8(41):71095-71104

Zhang XY, Li XT, Sun J, Sun YS*. Initial experience of correlating diffusion spectral parameters with histopathologic indexes in murine colorectal tumor homografts ,Onco Targets Ther ,10:4213-4223

Zhu HB, Wang L, Li ZY, Li XT, Zhang XY, Sun YS*.Sphincter-Preserving Surgery for Low-Middle Rectal Cancer: Can we Predict Feasibility with High Resolution Magnetic Resonance Imaging? ,Medicine ,96(29):e7418.

Hai-bin Zhu, Xiao-Yan Zhang, Xiao-Hong Joe Zhou, Xiao-Ting Li,Yu-Liang Liu, Ying-Shi Sun*.Assessment of complete response to preoperative chemoradiotherapy via multiple diffusion MRI methods of diffusion-weighted MR in locally advanced rectal cancer ,J. MAGN. RESON. IMAGING ,46:175-183.

Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy ,JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY ,2017;41(3):455-460

Xiao-Ting Li, Xiao-Yan Zhang, Ying-Shi Sun, Lei Tang, Kun Cao. Evaluating Rectal Tumor Staging with Magnetic Resonance Imaging, Computed Tomography, and Endoluminal Ultrasound: A Meta-Analysis ,Medicine ,95(44):e5333

Gao SY, Zhang XY, Wei W, Li XT, Li YL,Xu M, Sun YS, Zhang XP.Identification of benign and malignant thyroid nodules by in-vivo iodine concentration measurement usingsingle source dual energy CT: a retrospective diagnostic accuracy study ,Medicine ,95(39):e4816

Zhi-Long Wang, Ying Chen, Xiao-Ting Li, Ke-Neng Chen, Ying-Shi Sun.Potential of Baseline Computed Tomography to Predict Long-Term Survival of Patients With Locally Advanced Esophageal Cancer Treated With Preoperative Chemotherapy: A Retrospective Cohort Study. ,Medicine ,95(18):e3583.

Sun YS, He YJ, Li J, Li YL, Li XT, Lu AP, Fan ZQ, Cao K, Ouyang T. Predictive value of DCE-MRI for early evaluation of pathological complete response to neoadjuvant chemotherapy in resectable primary breast cancer: A single-center prospective study. ,Breast ,30:80-86

Li-Ping Qi, Xiao-Ting Li, Yue Yang, Jin-Feng Chen, Juan Wang, Mai-Lin Chen, Ying-Shi Sun.Multivariate analysis of pleural invasion of peripheral non-small cell lung cancer-based CT features. ,J Comput Assist Tomogr. ,40(5):757-762

Yan-Jie Shi, Xiao-Peng Zhang, Ying-Shi Sun*, Li-Ping Qi, Ying Li, Hai-Bin Zhu, Xiao-Ting Li, Xiao-Yan Zhang. Spectral CT in the Demonstration of the Pancreatic Arteries and Their Branches: A Comparison With Conventional CT. ,Medicine ,2016;95(7): e2823.

Xiao-Yan Zhang, Wan-Pu Yan, Yu Sun, Xiao-Ting Li, Ying Chen, Meng-Ying Fan, Ying Wu, Zhen Liang, Hong-Chao Xiong, Zhi-Long Wang, Ying-Shi Sun*, Ke-Neng Chen. CT Signs Can Predict Treatment Response and Long-Term Survival: a Study in Locally Advanced Esophageal Cancer with Preoperative Chemotherapy. ,Ann Surg Oncol ,2015; 22 Suppl 3:1380-1387

Lei Tang, Zi-Yu Li, Zhong-Wu Li, Xiao-Peng Zhang, Yan-Ling Li, Xiao-Ting Li, Zhi-Long Wang, Jia-Fu Ji, Ying-Shi Sun*. Evaluating the response of gastric carcinomas to neoadjuvant chemotherapy using iodine concentration on spectral CT: a comparison with pathological regression. ,Clin Radiol ,2015;70(11):1198-1204

Xiao-Ting Li, Lei Tang, Ying Chen, Yan-Ling Li, Xiao-Peng Zhang, Ying-Shi Sun*. Visceral and subcutaneous fat as new independent predictive factors of survival in locally advanced gastric carcinoma patients treated with neo-adjuvant chemotherapy. ,Journal of Cancer Research and Clinical Oncology ,2015; 141(7):1237-1247

医学影像学团队, 课题负责人 , 2020.1.29~2023.12.31, 登峰计划

项目名称:新型 MRI 梯度匀场系统研发/课题五:盆腔应用及磁共振模拟定位机应用研究, 课题负责人 , 2019.12.1~2021.12.31, 国家重点研发计划

应用深度学习构建直肠癌区域淋巴结转移的影像辅助诊断模型, 课题负责人 , 2020.1.1~2023.12.31, 国家自然科学基金

应用深度学习技术建立多模态直肠癌术前放化疗后肿瘤退缩分级的智能诊断模型, 课题负责人 , 2020.1.1~2022.12.31, 国家自然科学基金重大研究计划

应用MR影像组学方法诊断直肠癌新辅助治疗后完全缓解的临床研究 , 课题负责人 , 2017.2.10~2020.3.31, 首都临床特色应用研究(Z171100001017102)

国家自然科学基金应急管理项目(81641170) , 课题负责人 , 2017.1.1~2017.12.31, 基于非均匀时域空域扩散张量成像的直肠癌病理完全缓解预测模型研究

食管癌淋巴结转移的CT影像组学预测方法研究 , 课题负责人 , 2017.1.1~2019.12.31, 北京市自然科学基金:(7172049)

3T磁共振非高斯模型扩散成像评价直肠癌放疗疗效的定量化分析 , 课题负责人 , 2015.1.1~2018.12.31, 国家自然科学基金 81471640

学习、工作经历

  • 2007.8.1~2020.6.28,北京大学肿瘤医院 历任主治医师、讲师、副主任医师、副教授、主任医师、教授
  • 1996.8.1~2004.7.31,中国医科大学附属第一医院 历任住院医师、主治医师、讲师
  • 2004.9.1~2007.7.31,北京大学 影像医学与核医学 博士
  • 1996.8.1~1999.7.31,中国医科大学 影像医学与核医学 硕士
  • 1991.9.1~1996.7.31,中国医科大学 临床医学 本科