获上海市2023年度“科技创新⾏动计划”医学创新研究专项面上项目一项，2024年上海市抗癌协会“翱翔”计划项目一项，2024年获国自然科学基金面上项目一项。获得2项上海市人才计划资助(2008年上海市人才发展资金 ，2011年上海市优秀学术带头人计划)。近期在权威和核心期刊上发表论文52篇，其中第一作者和通讯作者论文50余篇 (SCI收录近20篇)。发表管理论文6篇。获得1项局级管理课题资助。参加编写7部专著或教材(担任副主编1部)。任《中国医学计算机成像杂志》、《放射学实践 杂志》、《介入放射学杂志》的编委及《中华放射学杂志》、《中国癌症杂志》和《Chinese Medical Journal》的审稿专家 。获得多项专业奖项。2001年获全军科技进步奖三等奖(第二完成人)，2003年获上海市科技进步奖三等奖(第一完成人 )，2024年获上海市区域名医。 近5年发表论文： 1.Xie T, Liu W, Chen L, Zhang Z, Chen Y, Wang Y, Deng W, Tang W, Zhou Z. Head-to-head comparison of contrast-enhanced CT, dual-layer spectral-detector CT, and Gd-EOB-DTPA-enhanced MR in detecting neuroendocrine tumor liver metastases. Eur J Radiol. 2024 Aug 29;181:111710. 2.Chen Y, Xie T, Chen L, et al. The preoperative prediction of lymph node metastasis of resectable pancreatic ductal adenocarcinoma using dual-layer spectral computed tomography. Eur Radiol. 2025;35(5):2692-2701. 3. Zehua Zhang#, Yuqin Zhang#, Feixiang Hu, Tiansong Xie, Wei Liu, Huijing Xiang, XiangxiangLi, Lei Chen*, Zhengrong Zhou*. Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer. Cancer Imaging. 2024;24(1):29. 4. Wei Liu#, Tiansong Xie#, Lei Chen, Wei Tang, Zehua Zhang, Yu Wang, Weiwei Deng, Xuebin Xie*, Zhengrong Zhou*. Dual-layer spectral detector CT: A noninvasive preoperative tool for predicting histopathological differentiation in pancreatic ductal adenocarcinoma. European Journal of Radiology. Published online January 24, 2024. 5. Tiansong Xie#, Xuebin Xie#, Wei Liu#, Lei Chen, Kefu Liu*, Zhengrong Zhou*. Prediction of postoperative recurrence in resectable pancreatic body/tail adenocarcinoma: a novel risk stratification approach using a CT-based nomogram. European Radiology.2023;33(11):7782-7793. 6. Xuanyi Wang#, Tiansong Xie#, Jurui Luo, Zhengrong Zhou*, Xiaoli Yu*, Xiaomao Guo*.Radiomics predicts the prognosis of patients with locally advanced breast cancer by reflecting the heterogeneity of tumor cells and the tumor microenvironment. Breast Cancer Research. 2022;24(1):20. 7. Peian Hu#, Lei Chen, Zhengrong Zhou*. Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models. J Digit Imaging. 2021;34(5):1146-1155. 8. Shuai Liu#, Lingfang Xia, Ziyi Yang, Huijuan Ge, Chunmei Wang, Herong Pan, Shaoli Song*,Zhengrong Zhou*. The feasibility of 18F-FDG PET/CT for predicting pathologic risk status in early-stage uterine cervical squamous cancer. Cancer Imaging. 2020;20(1):63. 9. Tiansong Xie#, Xuanyi Wang#, Menglei Li, Tong Tong, Xiaoli Yu, Zhengrong Zhou*.Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection. Eur Radiol. 2020;30(5):2513-2524. 10. 刘伟#，解添淞，陈雷，张泽华，周正荣*. 探究双层光谱探测器CT在鉴别可切除胰腺导管腺癌与肿块型慢性胰腺炎方面的价值. 中国癌症杂志 2024, 34 (01):67-73. 11. 解添淞#，翁微微，刘伟，刘可夫，盛伟琪，周正荣*. 基于CT图像影像组学的机器学习模型预测胰腺癌免疫细胞浸润及预后的初步研究. 中华放射学杂志 2022, 56 (4): 425-430. 12. 唐鹏洲#，任采月，王月明，周正荣*. 基于CT影像组学列线图鉴别甲状腺良性与恶性滤泡性肿瘤的价值. 中华放射学杂志 2022 56 (2): 136-141.