擅長： 體部腫瘤的影像診斷及臨床治療相關評估。

簡介： 北京大學腫瘤醫院醫學影像科副主任，主任醫師，教授，博士生導師。2006年北京大學醫學部獲得影像醫學博士學位，2011年美國伊利諾伊州立大學訪問學者。擅長體部腫瘤的影像診斷及臨床治療相關評估，主要研究領域為消化系統腫瘤影像學，以臨床實踐為主導，規范消化系統腫瘤影像學檢查流程，探索腫瘤檢出、診斷、分期和療效評價的影像學征象及標準，積極發掘影像學在腫瘤多學科協作和個體化診療的應用潛力。在Annals of Oncology, Radiology等腫瘤臨床及影像期刊發表論文30余篇，RSNA等國際會議口頭報告30余篇。主持國家自然科學基金兩項、北京市自然科學基金重點項目一項。獲中國抗癌協會科技進步二等獎及北京市科學技術三等獎。北京市優秀中青年醫師提名獎。首批入選北京大學-清華大學生命科學聯合中心臨床研究人才項目。北京大學醫學部優秀人才獎勵計劃青年學者獎。獲中華醫學百篇優秀論文獎、國際胃癌大會IGCC優秀論文獎、北京市衛計委最佳科普文章獎等獎項。獲北醫青年教師講課比賽二等獎、北大醫學部優秀教師、鼎業脈林獎教金等教學獎勵。獲中華放射學會腹部學組優秀青年學者獎。社會兼職：中國抗癌協會胃癌及GIST專業委員會委員、胃癌影像學組組長;中國臨床腫瘤學會CSCO青年委員、胃癌專委會委員;中華醫學會腫瘤學分會胃癌學組委員;北京市放射學會腹部學組副組長;北京市抗癌協會青年理事會常務理事;中國醫師協會外科分會MDT專委會委員、GIST專委會青年委員。European Radiology，Scientific Reports，JMRI，BMC Cancer 等雜志審稿專家。《中華胃腸外科雜志》、《中國醫學影像技術》雜志編委?！缎l健委胃癌診療規范》、《中國臨床腫瘤學會胃癌診療指南》、《胃腸間質瘤規范化外科治療中國專家共識》等國家級指南規范編委或執筆人。參與中國醫師協會“胃腸腫瘤MDT百城行”及衛健委“胃腸腫瘤MDT星火計劃”，普及腫瘤MDT規范化診療理念。發表論文1. Fu J, Tang L *, Li ZY, Li XT, Zhu HF, Sun YS, Ji JF. Diffusion kurtosis imaging in the prediction of poor responses of locally advanced gastric cancer to neoadjuvant chemotherapy. Eur J Radiol. 2020; 128: 108974.2. Di Dong#, Mengjie Fang#, Tang L #, etc. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study, Annals of Oncology, 2020, 31(7): 912-920.3. Fu J, Fang MJ, Dong D, Li J, Sun YS, Tian J, Tang L*. Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival. Eur J Radiol. 2020; 125: 108825. doi: 10.1016/j.ejrad.2020.108825.4. Li ZY?, Tang L?, Li ZM?, et al. Four-Point Computed Tomography Scores for Evaluation of Occult Peritoneal Metastasis in Patients with Gastric Cancer: A Region-to-Region Comparison with Staging Laparoscopy. Ann Surg Oncol. 2020 Apr;27(4):1103-1109. doi: 10.1245/s10434-019-07812-y.5. Tang L, Wang XJ, Baba H, Giganti F. Gastric cancer and image-derived quantitative parameters: Part 2-a critical review of DCE-MRI and 18F-FDG PET/CT findings. Eur Radiol. 2019 Aug 7. doi: 10.1007/s00330-019-06370-x.6. Giganti F, Tang L, Baba H. Gastric cancer and imaging biomarkers: Part 1 - a critical review of DW-MRI and CE-MDCT findings. Eur Radiol. 2019; 29(4):1743-1753.7. Dong D ?, Tang L ?, Li Z-Y ?, et al. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer. Ann Oncol. 2019; 30(3): 431-438. (IF: 14.196)8. Tang L, Li J, Li ZY, Li XT, Gong JF, Ji JF, Sun YS, Shen L. MRI in predicting the response of gastrointestinal stromal tumor to targeted therapy: a patient-based multi-parameter study. BMC Cancer. 2018; 18(1):8119. Tang L, Zhou XJ. Diffusion MRI of cancer: From low to high b-values. J Magn Reson Imaging. 2019;49(1):23-40. (獲評 JMRI及Wiley出版集團2018-2019年度“Top downloaded paper”)10. Tang L, Sui Y, Zhong Z, Damen FC, Li J, Shen L, Sun Y, Zhou XJ. Non-Gaussian diffusion imaging with a fractional order calculus model to predict response of gastrointestinal stromal tumor to second-line sunitinib therapy. Magn Reson Med. 2018; 79(3): 1399-1406.11. Tang L *, Sun YS, Li ZY, et al. Diffusion-weighted magnetic resonance imaging in the depiction of gastric cancer: initial experience. Abdominal Imaging. 2016,41(1):1-8.12. Tang L, Li ZY, Li ZW, et al.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):1198-204.13. Tang L, Zhang XP, Sun YS, Li YL, Li XT, Cui Y, Gao SY.Spectral CT in the demonstration of thegastrocolic ligament: a comparison study. Surg RadiolAnat2013;35(6):539-45.14. Tang L, Li G, Sun YS, Li J, Zhang XP. Synchrotron-radiation phase-contrast imaging of human stomach and gastric cancer: in vitro studies. JSynchrotron Rad2012; 19(Pt3):319-322.Tang L, Zhang XP, Sun YS, Shen L, Li J, Qi LP, Cui Y. Gastrointestinal Stromal TumorsTreated with Imatinib Mesylate:Apparent Diffusion Coefficient in theEvaluation of Therapy Response inPatients. Radiology 2011; 258(3): 729-738.