主持的科研 /教学项目 |
1. 国家自然科学基金青年项目(主持),基于AQP4多模态磁共振扩散成像监测脑胶质瘤侵袭的机理研究,2018-2020.20万，81701681. 2. 国家自然科学基金面上项目(主持),基于智能影像的低级别脑胶质瘤术后风险分层决策模型构建,2024-2027.50万，82371941. 3. 国家自然科学基金面上项目(主持),基于影像-病理-基因多组学的脑胶质瘤复发风险精准量化研究,2021-2024.55万，82071893. 4. 省回国留学人员科研资助项目(主持)，基于多模态MRI影像组学的脑胶质瘤复发精准量化研究(主持)，2023-2026.6万，2023-186. 5. 省留学人员科技活动择优资助项目(主持)，基于MRI影像组学的脑胶质瘤预后预测模型构建(主持)，2020-2023.12万，20200003. |
代表性成果 （论文/专利/专著等） |
1. Ruihong Chen; Qiaona Su; Yangyang Li; Pengxin Shen; Jianxin Zhang*; Yan Tan*; Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study, BMC Cancer, 2024, 24(1): 1176. 2. Feifei Zhang#; Yangyang Li#; Ruihong Chen; Pengxin Shen; Xiaochun Wang; Huaxing Meng; Jiangfeng Du; Guoqiang Yang; Bo Liu; Qiao Niu*; Hui Zhang*; Yan Tan*; The White Matter Integrity and Functional Connection Differences of Fornix (Cres)/Stria Terminalis in Individuals with Mild Cognitive Impairment Induced by Occupational Aluminum Exposure, eNeuro, 2024, 11(8): ENEURO.0128-24.2024. 3. Wenji Xu#; Xiangru Sun#; Haoru Jiang; Xiaochun Wang; Bin Wang; Qiao Niu; Huaxing Meng; Jiangfeng Du; Guoqiang Yang; Bo Liu; Hui Zhang*; Yan Tan*; Diffusion kurtosis imaging in evaluating the mild cognitive impairment of occupational aluminum workers, Acad Radiol, 2023, S1076-6332(22)00643-2. 4. Zhiyi Zhang#; Haoru Jiang#; Xiangru Sun; Xiaochun Wang; Qiao Niu; Huaxin Meng; Jiangfeng Du; Guoqiang Yang; Hui Zhang*; Yan Tan*; Monitoring mild cognitive impairment of workers exposed to occupational aluminium based on quantitative susceptibility mapping, Clin Radiol, 2022, 77(11):840-847. 5. Shi WW#, Qu CX#, Wang XC, Liang X, Tan Y*, Zhang H*. Diffusion kurtosis imaging combined with dynamic susceptibility contrast-enhanced MRI in differentiating high-grade glioma recurrence from pseudoprogression. European journal of radiology. 2021; 144: 109941. 6. Tan Y#, Mu W#, Wang XC, Yang GQ, Gillies RJ*, Zhang H*. Whole-tumor radiomics analysis of DKI and DTI may improve the prediction of genotypes for astrocytomas: A preliminary study. European journal of radiology. 2020; 124: 108785. 7. Shi WW, Liang X, Wu N, Zhang H, Yuan XD, Tan Y*. Assessment of Split Renal Function Using a Combination of Contrast-Enhanced CT and Serum Creatinine Values for Glomerular Filtration Rate Estimation. AJR Am J Roentgenol. 2020;215(1):142-147. 8. Tan Y#, Mu W#, Wang XC, Yang GQ, Robert JG*, Zhang H*. Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors. European Journal of Radiology. 2019; 120: 108609. 9. Tan Y#, Zhang ST#, Wei JW, Dong D, Wang XC, Yang GQ, Tian J*, Zhang H*. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery. European radiology. 2019; 29(7): 3325-3337. 10. Tan Y, Zhang H*, Wang XC, Qin JB, Wang L, Yang GQ, Yan HL. Comparing the value of DKI and DTI in detecting isocitrate dehydrogenase genotype of astrocytomas. Clinical radiology. 2019; 74(4): 314-320. |
