基本信息

职称 副主任医师

职务 科副主任

研究方向：CT和MRI新技术、影像图像的人工智能和影像图像在肿瘤领域

电子邮件：dechun.zheng@139.com

个人简介

郑德春，男，博士,副主任。本科与硕士毕业于福建医科大学，博士毕业于福建医科大学。2019年-2020年在美国内布拉斯加大学医学中心影像科、放疗科担任访问学者。主要研究CT、MRI、人工智能等技术方法在肿瘤领域中的应用。在国内外重要学术期刊和会议上发表论文40多篇。

主要科研项目

1、磁共振零回波成像技术诊断鼻咽癌颅底骨和颅神经侵犯的价值及机制研究,福建省科技厅自然科学基金项目；2021.08—2024.7，主持（在研）

获奖经历

无

近五年发表的主要论文

[1]郑德春,许淑桂,赖国静,陈加优,任旺,陈韵彬.基于治疗前磁共振成像列线图预测鼻咽癌新辅助化疗疗效的初步研究.磁共振成像, 2021,12(04):23-29.(CSCD收录)

[2]郑德春*，张潇潇，林浩，赖国静，任旺，陈英，陈韵彬.扩散峰度成像早期评估鼻咽癌颈部转移淋巴结化学治疗效果.中国医学影像技术,2020,36（2）：220-224. (CSCD收录)

[3]Zheng DC*, Lai GJ, Chen Y, Yue QY, Liu XY, Chen XD, Chen WB, Chan Q, Chen YB.Integrating dynamic contrast-enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma.J Magn Reson Imaging. 2018 Nov;48(5):1208-1216. (IF: 3.732)

[4]郑德春*，刘萌，岳秋圆，林浩，张潇潇，赖国静，刘向一，陈韵彬.探讨DCE-MRI早期预测鼻咽癌新辅助化疗和调强放疗疗效的价值.磁共振成像,2017,8(3):196-203. (CSCD收录)

[5] Jiayou Chen, Ying Chen (通讯作者),Dechun Zheng, Peipei Pang, Jianping Lu, Xiang Zheng. Pre-treatment magnetic resonance-based radiomics signature as potential imaging biomarker for assessing the expression of topoisomerases II alpha (TOPO-IIα) in rectal cancer. J Magn Reson Imaging. 2020 Jun;51(6):1881-1889. (IF 3.732)

[6] Xiang Zheng, Yunbin Chen (通讯作者), Dechun Zheng, Youping Xiao, Jiayou Chen, Jianji Pan, Weibo Chen. Diffusion kurtosis imaging and tumour microstructure for monitoring response to radiotherapy in human nasopharyngeal carcinoma xenografts. Japanese Journal of Clinical Oncology, 2020 May 5;50(5):548-555 (IF2.183)

[7] Chen J, Chen Y, Zheng D, Pang P, Zhang H, Zheng X, Liao J. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer. Abdom Radiol (NY). 2020 Sep 1. doi: 10.1007/s00261-020-02710-4. Online ahead of print.

[8] Hu C, Zheng D, Cao X, Pang P, Fang Y, Lu T, Chen Y. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma. Front Oncol. 2021 Nov 1;11:740776.

[9] Wong J, Baine M, Wisnoskie S, Bennion N, Zheng D, Yu L, Dalal V, Hollingsworth MA, Lin C, Zheng D. Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. Sci Rep. 2021 Aug 11;11(1):16328.

[10] Lin X, Wang H, Chen J, Lu T, Zheng D, Chen Y, Chen Y. The value of CT-based radiomics in early assessment of chemotherapeutic effect in patients with advanced lung adenocarcinoma: a preliminary study. Acta Radiol. 2022 Feb 9:2841851221078290.

[11] Yin S, Luo X, Yang Y, Shao Y, Ma L, Lin C, Yang Q, Wang D, Luo Y, Mai Z, Fan W, Zheng D, Li J, Cheng F, Zhang Y, Zhong X, Shen F, Shao G, Wu J, Sun Y, Luo H, Li C, Gao Y, Shen D, Zhang R, Xie C. Development and validation of a deep- learning model for detecting brain metastases on 3D post-contrast MRI: a multi- center multi-reader evaluation study. Neuro Oncol. 2022 Sep 1;24(9):1559-1570.

[12] Luo X, Yang Y, Yin S, Li H, Zhang W, Xu G, Fan W, Zheng D, Li J, Shen D, Gao Y, Shao Y, Ban X, Li J, Lian S, Zhang C, Ma L, Lin C, Luo Y, Zhou F, Wang S, Sun Y, Zhang R, Xie C. False-negative and false-positive outcomes of computer aided detection on brain metastasis: secondary analysis of a multicenter, multireader study. Neuro Oncol. 2022 Aug 9: noac192.