医学博士，主任医师，研究员，博士研究生导师，博士后合作导师，重庆大学附属肿瘤医院影像科主任、党支部书记，重庆市学术技术带头人，重庆市医学领军人才
曾赴美国Emory大学访问研究一年。主要研究方向为癌症相关神经影像学，癌症影像学和癌症相关心血管影像学。学术任职：中国抗癌协会肿瘤影像专业委员会常务委员、中华医学会放射学分会神经学组委员及对比剂使用和安全工作组委员、中国医师协会放射医师分会人工智能学组和互联网与大数据学组委员、重庆市抗癌协会肿瘤影像专业委员会主任委员、重庆市中西医结合医学影像学组副主任委员、重庆市医学会放射医学分会常务委员兼磁共振学组组长、重庆市医师协会放射医师分会常务委员兼神经学组组长等。近五年主持国家及省部级课题10余项。目前主持在研课题包含国家自然科学基金面上项目2项，以及包含重点项目在内的省部级课题4项。共发表SCI论文140余篇，其中以第一作者或通讯作者在神经科学期刊Neurology、Journal of Neurology, Neurosurgery and Psychiatry、Human Brain Mapping，影像学综合期刊Radiology（2篇）、European Radiology（6篇）、Diagnostic and Interventional Imaging（6篇）和心血管影像期刊JACC Cardiovascular Imaging、 Circulation Cardiovascular Imaging等国际知名期刊上发表SCI论文120余篇， JCR Q1区50余篇。主译专著《脑定量磁共振成像：物理测量原理》一部。获得重庆市科技进步奖二等奖一项。
邮箱：76256127@qq.com
学习、工作经历
1998.09-2001.06 湖北科技学院（原咸宁医学院） 医学影像学专业
2001.07-2004.08 湖北省长坂坡医院（现已并入当阳市人民医院）放射科 住院医师
2004.09-2007.06 第三军医大学 影像医学与核医学 硕士研究生 导师：王健教授
2007.09-2010.06 第三军医大学 外科学（神经外） 博士研究生 导师：冯华教授
2010.07-2016.11 第三军医大学第一附属医院放射科主治医师、讲师
2015.06-2016.06 美国Emory大学，生物医学工程 访问学者 合作导师：胡小平教授
2016.12-2017.11 第三军医大学第一附属医院放射科主治医师、副教授
2017.12-2018.11 第三军医大学第一附属医院放射科副主任医师、副教授
2018.12-2021.11 重庆大学附属肿瘤医院影像科副教授、副主任医师、科主任、党支部书记
2021.12-2022.12 重庆大学附属肿瘤医院影像科主任医师、科主任、党支部书记
2022.12-今 重庆大学附属肿瘤医院影像科主任医师、研究员、科主任、党支部书记
学术任职
中国抗癌协会肿瘤影像专业委员会常务委员
中华医学会放射学分会神经学组委员及对比剂使用和安全工作组委员
中国医师协会放射医师分会人工智能学组和互联网与大数据学组委员
重庆市抗癌协会肿瘤影像专业委员会主任委员
重庆市中西医结合医学影像学组副主任委员
重庆市医学会放射医学分会常务委员兼磁共振学组组长
重庆市医师协会放射医师分会常务委员兼神经学组组长
研究方向
方向1：癌症相关神经影像学：旨在阐明癌症治疗导致的神经毒性损害机制及神经系统的形态结构和功能代谢改变规律及其和认知功能改变的关系。主要聚焦于癌痛、化疗脑、放疗脑和脑转移瘤的神经影像学机制，研究手段为fMRI+rTMS；
方向2：癌症影像学：旨在探索各种影像学新技术在常见癌种的诊断和鉴别诊断、分期分级分型、疗效评估以及预后预测中的作用。主要聚焦于乳腺癌、肺癌、鼻咽癌、宫颈癌等癌种；
方向3：癌症相关心血管影像学：旨在回答癌症治疗后如何早期发现心血管毒性损害，以及心血管毒性损害发生发展规律及其与相关终点事件之间的关系。主要利用CTA和CMR等手段研究癌症人群心血管疾病的影像学特点及癌症治疗后（放疗、化疗、靶向治疗和免疫治疗等）心血管疾病发生发展机制。
近五年主持承担的各类科研项目情况
主持国家及省部级课题10余项。目前主持在研课题包含国家自然科学基金面上项目2项，以及包含重点项目在内的省部级课题4项。
1. 重庆大学，中央高校基本科研业务费“医工融合项目”，基于肺部CT深度流形对齐的NSCLC脑转移预测模型的构建和验证，2019.9- 2021.8，30万元，已结题, 主持
2. 重庆市卫生健康委员会、重庆市科学技术局，重庆市科卫联合医学科研项目重点项目，基于深度迁移学习的肺部CT鳞、腺癌分类及基因突变预测，2019.9-2022.8，20万元，已结题，主持
3. 国家自然科学基金委员会，面上项目，基于多模态磁共振成像探索癌痛与抑郁交互作用的神经机制研究，2021.01-2024.12, 55万元，在研，主持
4. 影像科重庆市临床重点专科建设经费，110万元，在研，主持
5. 重庆市科学技术局，面上项目，基于多模态MRI探讨阿片诱导癌痛病人痛觉过敏的丘脑环路机制研究，2021.10-2024.9，10万元，提前结题，主持
6. 2021年中华国际医学交流基金会SKY影像科研基金前沿项目，影像组学跨模态跨尺度联合病理组学精准预测局部进展期乳腺癌新辅助治疗疗效的研究，2022.01.01 – 2023.12.31, 30万元，已结题，主持
7. 重庆市卫生健康委员会、重庆市科学技术局，重庆市科卫联合医学科研项目重点项目，非小细胞肺癌多模态影像精准诊断系统研究与应用，2023.01-2025.12，20万元，在研，主持
8. 重庆大学附属肿瘤医院科研能力提升专项项目，基于MRI探讨HER2阳性乳腺癌新辅助治疗耐药及心脏毒性的作用机制研究，2023.08.01-2026.07.31, 50万元，在研，主持
9. 国家自然科学基金委员会，面上项目，基于多模态MRI探讨突显网络受损介导自发性癌性爆发痛的机制及TMS干预研究，2024.01-2027.12，50万元，在研，主持
10. 重庆市科学技术局，面上项目，基于多参数MRI探索脑血管损伤介导化疗相关认知障碍机制的研究，2024.07-2027.06，10万元，在研，主持
荣获奖励
2013年获得重庆市科技进步奖二等奖一项
2019年入选重庆市中青年医学高端人才
2022年入选重庆大学附属肿瘤医院高端人才
2024年入选重庆市学术技术带头人，重庆市医学领军人才
近五年发表的部分SCI论文
1. Xie Y, Shen H, Xu Q, Tu C, Yang R, Liu T, Tang H, Miao Z, Zhang J. Evaluating coronary arteries and predicting MACEs using CCTA in lung cancer patients receiving chemotherapy or chemoradiotherapy. Radiotherapy and Oncology. 2024;200. doi: 10.1016/j.radonc.2024.110498.
2. Wang X, Ba R, Huang Y, Cao Y, Chen H, Xu H, Shen H, Liu D, Huang H, Yin T, Wu D, Zhang J, Moy L, Wolfe S. Time-Dependent Diffusion MRI Helps Predict Molecular Subtypes and Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer. Radiology. 2024;313(1):e240288. doi: 10.1148/radiol.240288. PubMed PMID: 39436292.
3. Tu C, Shen H, Li X, Wang X, Miao Z, Deng W, Liu R, Lan X, Chen H, Zhang J. Longitudinal Evaluation of Coronary Arteries and Myocardium in Breast Cancer Using Coronary Computed Tomographic Angiography. JACC: Cardiovascular Imaging. 2024. doi: https://doi.org/10.1016/j.jcmg.2024.05.017.
4. Tang Y, Shi Y, Xu Z, Hu J, Zhou X, Tan Y, Lan X, Zhou X, Yang J, Zhang J, Deng B, Liu D. Altered gray matter volume and functional connectivity in lung cancer patients with bone metastasis pain. Journal of Neuroscience Research. 2024;102(1). doi: https://doi.org/10.1002/jnr.25256.
5. Long L, Liu M, Deng X, Jin J, Cao M, Zhang J, Tao J, Shen H, Wang X, Liu D, Zhang J, Goh V. Tumor Stiffness Measurement at Multifrequency MR Elastography to Predict Lymphovascular Space Invasion in Endometrial Cancer. Radiology. 2024;311(3):e232242. doi: 10.1148/radiol.232242. PubMed PMID: 38832881.
6. Huang Y, Wang X, Cao Y, Li M, Li L, Chen H, Tang S, Lan X, Jiang F, Zhang J. Multiparametric MRI model to predict molecular subtypes of breast cancer using Shapley additive explanations interpretability analysis. Diagnostic and Interventional Imaging. 2024;105(5):191-205. doi: https://doi.org/10.1016/j.diii.2024.01.004.
7. Cao Y, Huang Y, Chen X, Wang W, Chen H, Yin T, Nickel D, Li C, Shao J, Zhang S, Wang X, Zhang J. Optimizing ultrafast dynamic contrast-enhanced MRI scan duration in the differentiation of benign and malignant breast lesions. Insights into Imaging. 2024;15(1):112. doi: 10.1186/s13244-024-01697-6.
8. Yang L, Wang L, Tan Y, Dan H, Xian P, Zhang Y, Tan Y, Lin M, Zhang J. Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study. Cancer Imaging. 2023;23(1). doi: 10.1186/s40644-022-00515-w.
9. Yang J, Deng Y, Liu D, Tan Y, Lin M, Zhou X, Zhang J, Yu H, Hu Y, Tang Y, Jiang S, Zhang J. Brain network deficits in breast cancer patients after early neoadjuvant chemotherapy: A longitudinal MRI study. Journal of Neuroscience Research. 2023;101(7):1138-53. doi: https://doi.org/10.1002/jnr.25178.
10. Tao J, Fang J, Chen L, Liang C, Chen B, Wang Z, Wu Y, Zhang J. Increased adipose tissue is associated with improved overall survival, independent of skeletal muscle mass in non-small cell lung cancer. Journal of Cachexia, Sarcopenia and Muscle. 2023;14(6):2591-601. doi: https://doi.org/10.1002/jcsm.13333.
11. Shi J, Huang H, Xu S, Du L, Zeng X, Cao Y, Liu D, Wang X, Zhang J. XGBoost-based multiparameters from dual-energy computed tomography for the differentiation of multiple myeloma of the spine from vertebral osteolytic metastases. European Radiology. 2023. doi: 10.1007/s00330-023-09404-7.
12. Shen H, Lian Y, Yin J, Zhu M, Yang C, Tu C, Peng Y, Li X, Zhang J. Cardiovascular Risk Stratification by Automatic Coronary Artery Calcium Scoring on Pretreatment Chest Computed Tomography in Diffuse Large B-Cell Lymphoma Receiving Anthracycline-Based Chemotherapy: A Multicenter Study. Circulation: Cardiovascular Imaging. 2023. doi: 10.1161/circimaging.122.014829.
13. Peng Y, Tang H, Huang Y, Yuan X, Wang X, Ran Z, Deng W, Liu R, Lan X, Shen H, Zhang J. CT-derived extracellular volume and liver volumetry can predict posthepatectomy liver failure in hepatocellular carcinoma. Insights into Imaging. 2023;14(1):145. doi: 10.1186/s13244-023-01496-5.
14. Luo Y, Liu L, Liu D, Shen H, Wang X, Fan C, Zeng Z, Zhang J, Tan Y, Zhang X, Wu J, Zhang J. Extracellular volume fraction determined by equilibrium contrast-enhanced CT for the prediction of the pathological complete response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Eur Radiol. 2023;33(6):4042-51. Epub 2022/12/04. doi: 10.1007/s00330-022-09307-z. PubMed PMID: 36462046.
15. Liu Y, Cheng F, Wang L, Du L, Shen H, Wang X, Zeng Z, Liu D, Tao J, Wu J, Zhang J. Quantitative parameters derived from dual-energy computed tomography for the preoperative prediction of early recurrence in patients with esophageal squamous cell carcinoma. European Radiology. 2023. doi: 10.1007/s00330-023-09818-3.
16. Huang Y, Cao Y, Hu X, Lan X, Chen H, Tang S, Li L, Cheng Y, Gong X, Wang W, Jiang F, Yin T, Wang X, Zhang J. Early Identification of Pathologic Complete Response to Neoadjuvant Chemotherapy Using Multiphase DCE-MRI by Siamese Network in Breast Cancer: A Longitudinal Multicenter Study. J Magn Reson Imaging. 2023. Epub 2023/12/18. doi: 10.1002/jmri.29188. PubMed PMID: 38109316.
17. Cheng F, Liu Y, Du L, Wang L, Li L, Shi J, Wang X, Zhang J. Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer. Insights Imaging. 2023;14(1):33. Epub 2023/02/11. doi: 10.1186/s13244-023-01381-1. PubMed PMID: 36763193.
18. Cao Y, Wang X, Shi J, Zeng X, Du L, Li Q, Nickel D, Zhou X, Zhang J. Multiple parameters from ultrafast dynamic contrast-enhanced magnetic resonance imaging to discriminate between benign and malignant breast lesions: Comparison with apparent diffusion coefficient. Diagnostic and Interventional Imaging. 2023;104(6):275-83. doi: https://doi.org/10.1016/j.diii.2023.01.006.
19. Cao Y, Wang X, Li L, Shi J, Zeng X, Huang Y, Chen H, Jiang F, Yin T, Nickel D, Zhang J. Early prediction of pathologic complete response of breast cancer after neoadjuvant chemotherapy using longitudinal ultrafast dynamic contrast-enhanced MRI. Diagnostic and Interventional Imaging. 2023;104(12):605-14. doi: 10.1016/j.diii.2023.07.003.
20. Ba R, Wang X, Zhang Z, Li Q, Sun Y, Zhang J, Wu D. Diffusion-time dependent diffusion MRI: effect of diffusion-time on microstructural mapping and prediction of prognostic features in breast cancer. Eur Radiol. 2023. Epub 2023/04/19. doi: 10.1007/s00330-023-09623-y. PubMed PMID: 37071169.
21. Zhou X, Tan Y, Yu H, Liu J, Lan X, Deng Y, Yu F, Wang C, Chen J, Zeng X, Liu D, Zhang J. Early alterations in cortical morphology after neoadjuvant chemotherapy in breast cancer patients: A longitudinal magnetic resonance imaging study. Human brain mapping. 2022;43(15):4513-28. doi: https://doi.org/10.1002/hbm.25969.
22. Wang X, Tan Y, Liu D, Shen H, Deng Y, Tan Y, Wang L, Zhang Y, Ma X, Zeng X, Zhang J. Chemotherapy-associated steatohepatitis was concomitant with epicardial adipose tissue volume increasing in breast cancer patients who received neoadjuvant chemotherapy. European Radiology. 2022;32(7):4898-908. doi: 10.1007/s00330-022-08581-1.
23. Tu C, Shen H, Liu R, Wang X, Li X, Yuan X, Chen Q, Wang Y, Ran Z, Lan X, Zhang X, Lin M, Zhang J. Myocardial extracellular volume derived from contrast-enhanced chest computed tomography for longitudinal evaluation of cardiotoxicity in patients with breast cancer treated with anthracyclines. Insights into Imaging. 2022;13(1). doi: 10.1186/s13244-022-01224-5.
24. Tao J, Lv R, Liang C, Fang J, Liu D, Lan X, Huang H, Zhang J. Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer. Academic radiology. 2022;29 Suppl 2:S62-S72. Epub 2021/01/07. doi: 10.1016/j.acra.2020.12.007. PubMed PMID: 33402298.
25. Tao J, Liang C, Yin K, Fang J, Chen B, Wang Z, Lan X, Zhang J. 3D convolutional neural network model from contrast-enhanced CT to predict spread through air spaces in non-small cell lung cancer. Diagnostic and Interventional Imaging. 2022;103(11):535-44. doi: https://doi.org/10.1016/j.diii.2022.06.002.
26. Shen H, Yin J, Niu R, Lian Y, Huang Y, Tu C, Liu D, Wang X, Lan X, Yuan X, Zhang J. MRI-based radiomics to compare the survival benefit of induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy plus adjuvant chemotherapy in locoregionally advanced nasopharyngeal carcinoma: A multicenter study. Radiotherapy and Oncology. 2022;171:107-13. doi: https://doi.org/10.1016/j.radonc.2022.04.017.
27. Peng Y, Shen H, Tang H, Huang Y, Lan X, Luo X, Zhang X, Zhang J. Nomogram based on CT-derived extracellular volume for the prediction of post-hepatectomy liver failure in patients with resectable hepatocellular carcinoma. Eur Radiol. 2022;32(12):8529-39. Epub 20220609. doi: 10.1007/s00330-022-08917-x. PubMed PMID: 35678856.
28. Li J, Zhang Y, Huang Z, Jiang Y, Ren Z, Liu D, Zhang J, La Piana R, Chen Y. Cortical and subcortical morphological alterations in motor subtypes of Parkinson’s disease. npj Parkinson's Disease. 2022;8(1). doi: 10.1038/s41531-022-00435-3.
29. Deng X, Liu M, Zhou Q, Zhao X, Li M, Zhang J, Shen H, Lan X, Zhang X, Zhang J. Predicting treatment response to concurrent chemoradiotherapy in squamous cell carcinoma of the cervix using amide proton transfer imaging and intravoxel incoherent motion imaging. Diagnostic and Interventional Imaging. 2022;103(12):618-24. doi: https://doi.org/10.1016/j.diii.2022.09.001.
30. Wang X, Liu D, Zeng X, Jiang S, Li L, Yu T, Zhang J. Dual-energy CT quantitative parameters for evaluating Immunohistochemical biomarkers of invasive breast cancer. Cancer Imaging. 2021;21(1):4. Epub 2021/01/09. doi: 10.1186/s40644-020-00370-7. PubMed PMID: 33413654.
31. Wang X, Liu D, Jiang S, Zeng X, Li L, Yu T, Zhang J. Subjective and Objective Assessment of Monoenergetic and Polyenergetic Images Acquired by Dual-Energy CT in Breast Cancer. Korean Journal of Radiology. 2021;22. doi: 10.3348/kjr.2020.0310.
32. Tang X, Zhang Y, Liu D, Hu Y, Jiang L, Zhang J. Association of Gyrification Pattern, White Matter Changes, and Phenotypic Profile in Patients With Parkinson Disease. Neurology. 2021;96(19):e2387. doi: 10.1212/WNL.0000000000011894.
33. Cheng L, Tang X, Luo C, Liu D, Zhang Y, Zhang J. Fiber-specific white matter reductions in amyotrophic lateral sclerosis. NeuroImage: Clinical. 2020;28:102516. doi: https://doi.org/10.1016/j.nicl.2020.102516.
34. Zhang Y, Qiu T, Yuan X, Zhang J, Wang Y, Zhang N, Zhou C, Luo C, Zhang J. Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis. Neuroimage Clin. 2019;21:101619. Epub 2018/12/12. doi: 10.1016/j.nicl.2018.101619. PubMed PMID: 30528369.
35. Qiu T, Zhang Y, Tang X, Liu X, Wang Y, Zhou C, Luo C, Zhang J. Precentral degeneration and cerebellar compensation in amyotrophic lateral sclerosis: A multimodal MRI analysis. Human brain mapping. 2019;40(12):3464-74. Epub 2019/04/26. doi: 10.1002/hbm.24609. PubMed PMID: 31020731.
