一、文章
1. Xu Q#, Shen H#, Wen L, Tu C, Deng W, Liu R, et al. Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapy. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2026;216:111364.
2. Zhang X#, Shen H#, Xu Q, Tu C, Peng Y, Liu T, et al. CT derived myocardial extracellular volume predict major adverse cardiovascular events in patients with prostate cancer. European journal of radiology. 2025;192:112371.
3. Shen H, Xu Q, Tu C, Peng Y, Xie Y, Miao Z, et al. Left ventricular trabecular complexity for risk stratification of cancer therapy-related cardiac dysfunction in breast cancer. MedComm (2020). 2025;6(1):e70004.
4. Shen H, Tu C, Xie Y, Xu Q, Deng Y, Zhang J, et al. CT-derived myosteatosis for baseline risk stratification of cardiotoxicity in patients with diffuse large B-cell lymphoma receiving anthracyclines. BMC Med Imaging. 2025;25(1):456.
5. Xu Q #, Shen H#, Tu C, Xie Y, Yang R, Yuan X, et al. Coronary computed tomography angiography for assessing the coronary artery and predicting adverse cardiovascular events in patients with thoracic malignancies. Quant Imaging Med Surg. 2024;14(12):9193-206.
6. Xie Y #, Shen H#, Xu Q, Tu C, Yang R, Liu T, et al. Evaluating coronary arteries and predicting MACEs using CCTA in lung cancer patients receiving chemotherapy or chemoradiotherapy. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 2024;200:110498.
7. Tu C#, Shen H#, Li X, Wang X, Miao Z, Deng W, et al. Longitudinal Evaluation of Coronary Arteries and Myocardium in Breast Cancer Using Coronary Computed Tomographic Angiography. JACC Cardiovascular imaging. 2024.
8. Shen H, Zhou W, ChunrongTu, Peng Y, Li X, Liu D, et al. Thoracic aorta injury detected by 4D flow MRI predicts subsequent main adverse cardiovascular events in breast cancer patients receiving anthracyclines: A longitudinal study. Magnetic Resonance Imaging. 2024;109:67-73.
9. Li X#, Shen H#, Peng Y, Miao Z, Tu C, Zhang X, et al. The additional value of myocardial T1ρ mapping to T1 and T2 mapping for predicting subsequent cancer therapy-related cardiac dysfunction in breast cancer patients who received anthracyclines with/without trastuzumab. European journal of radiology. 2024;181.
10. Shen H, Lian Y, Yin J, Zhu M, Yang C, Tu C, et al. 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. Circ Cardiovasc Imaging. 2023;16(2):e014829.
11. Peng Y, Tang H, Huang Y, Yuan X, Wang X, Ran Z, Deng W, Liu R, Lan X, Shen H*, Zhang J*, et al. CT-derived extracellular volume and liver volumetry can predict posthepatectomy liver failure in hepatocellular carcinoma. Insights Imaging. 2023;14(1):145.
12. Tu C#, Shen H#, Liu R, Wang X, Li X, Yuan X, et al. Myocardial extracellular volume derived from contrast-enhanced chest computed tomography for longitudinal evaluation of cardiotoxicity in patients with breast cancer treated with anthracyclines. Insights Imaging. 2022;13(1):85.
13. Shen H, Yin J, Niu R, Lian Y, Huang Y, Tu C, et al. 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.
14. Shen H, Huang Y, Yuan X, Liu D, Tu C, Wang Y, et al. Using quantitative parameters derived from pretreatment dual-energy computed tomography to predict histopathologic features in head and neck squamous cell carcinoma. Quant Imaging Med Surg. 2022;12(2):1243-56.
15. Peng Y#, Shen H#, Tang H, Huang Y, Lan X, Luo X, et al. 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.
16. Tu C#, Shen H#, Liu D, Chen Q, Yuan X, Li X, et al. Simultaneous multi-slice readout-segmentation of long variable echo-trains for accelerated diffusion-weighted imaging of nasopharyngeal carcinoma: A feasibility and optimization study. Clinical imaging. 2021;79:119-24.
17. Shen H, Yuan X, Liu D, Tu C, Wang X, Liu R, et al. Multiparametric dual-energy CT to differentiate stage T1 nasopharyngeal carcinoma from benign hyperplasia. Quant Imaging Med Surg. 2021;11(9):4004-15.
18. Shen H, Yuan X, Liu D, Huang Y, Wang Y, Jiang S, et al. Multiparametric dual-energy CT for distinguishing nasopharyngeal carcinoma from nasopharyngeal lymphoma. European journal of radiology. 2021;136:109532.
19. Shen H, Wang Y, Liu D, Lv R, Huang Y, Peng C, et al. Predicting Progression-Free Survival Using MRI-Based Radiomics for Patients With Nonmetastatic Nasopharyngeal Carcinoma. Front Oncol. 2020;10:618.
20. Shen H, Dai G, Luo M, Duan C, Cai W, Liang D, Wang X, Zhu D, et al. Image Quality and Radiation Dose of CT Coronary Angiography with Automatic Tube Current Modulation and Strong Adaptive Iterative Dose Reduction Three-Dimensional (AIDR3D). PloS one. 2015;10(11):e0142185.
21. Shen H, Liang D, Luo M, Duan C, Cai W, Zhu S, et al. Pilot study on image quality and radiation dose of CT colonography with adaptive iterative dose reduction three-dimensional. PloS one. 2015;10(1):e0117116.
二、承担和参与的科学研究项目
[1]重庆市自然科学基金面上项目，基于多参数CMR探讨心肌微结构损伤在阿霉素所致CTRCD的作用机制及早期预警的研究（CSTB2025NSCQ-GPX0699）；项目负责人（2025.7-2028.6）
[2]重庆市自然科学基金面上项目，心肌铁沉积在阿霉素所致左心室收缩功能障碍中的作用机制及MRI研究（cstc2021jcyj-msxmX039832171334）；项目负责人（2021.10-2024.9）
[3]重庆市科卫联合面上项目 基于心脏MR深度学习预测阿霉素心脏毒性的研究(2024MSXM096);项目负责人（2024.1-2025.12）
[4]重庆市科卫联合面上项目 基于MR深度流形对齐的鼻咽癌远处转移预测模型的构建和验证(2021MSXM077);项目负责人（2020.9-2022.8）
[5]中华国际医学交流基金会2023sky影像科研基金远航项目 基于CMR深度学习精准预测阿霉素心脏毒性的研究（Z-2014-07-2301）；项目负责人（2023.7-2025.6）
三、相关奖励与荣誉
[1] 2019年度重庆市事业单位嘉奖人员
[2] 2015年度重庆市优秀专业技术人员
