武汉大学人民医院湖北省人民医院

院内导航

陶泽璋 耳鼻喉
二级教授，主任医师，博士生导师，武汉大学耳鼻咽喉头颈外科研究所所长

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导师介绍

姓名	陶泽璋
出生年月	1954年11月
单位	武汉大学人民医院心血管内科
所属学科	临床医学-耳鼻咽喉头颈外科学
职务、职称及头衔	二级教授，主任医师，博士生导师，武汉大学耳鼻咽喉头颈外科研究所所长
E-mail	taozezhang@163.com
联系方式	027-88041911
研究方向	1.鼻科学：擅长鼻炎、鼻窦炎的诊断和治疗，变态反应性鼻炎的综合治疗，在鼻内窥镜外科领域具有丰富的经验。 2.听力学：新生儿听力筛查方法的研究、面神经逆行诱发电位研究。 3.头颈肿瘤基础研究：鼻腔和鼻窦肿瘤以及鼻咽癌的早期诊断和治疗。
个人简介	从事耳鼻咽喉-头颈外科临床、教学、科研工作30余年。主持完成国家级及省部级科研项目11项，在研国家级及省部级科研课题5项。发表论文200余篇，被SCI收录110余篇。获湖北省科技进步一、二等奖各1项，三等奖2项。已培养博士生30名、硕士生36名，目前正在培养的博士生7名、硕士生2名。
学术任职与荣誉	国务院政府特殊津贴专家。历任中华医学会耳鼻咽喉头颈外科学分会第七、八、九届委员、中华医学会变态反应学分会常务委员、中国听力医学发展基金会专家委员会委员、国家自然科学基金委员会医学科学部专家评审组成员、湖北省医学会耳鼻咽喉科学分会主任委员、湖北省变态反应疾病质量控制中心主任、湖北省变态反应疾病专家组组长、湖北省变态反应学会常委、湖北省医学会理事、武汉市医学会常务理事、《听力学及言语疾病杂志》主编、《中华耳鼻咽喉-头颈外科》编委、《临床耳鼻咽喉-头颈外科》编委。
教育履历	1972.04-1975.12 湖北医学院临床医学系学习 1982.11-1983.02 上海外国语学院学习德语 1983.03-1983.09 西德弗赖堡歌德学院学习德语 1983.09-1985.09 西德法兰克福市歌德大学耳鼻喉科医院进修 1988.11-1991.02 德国海德堡大学医学院学习获博士学位
工作履历	1975.12-1982.10 湖北医学院附一医院耳鼻咽喉科住院医师 1985.10-1988.11 湖北医学院附一医院耳鼻咽喉科住院医师 1988.12-1992.08 湖北医学院附一医院耳鼻咽喉科主治医师 1992.09-1997.08 湖北医学院附一医院耳鼻咽喉科副教授 1997-至今武汉大学人民医院耳鼻咽喉科，教授 1994-2014武汉大学人民医院副院长 2014-2019鄂州市中心医院院长
成果获奖	“新生儿听力筛查方法的研究”2000年获湖北省科技进步一等奖 “气道异物手术示教模型”1997年获湖北省政府优秀教学成果二等奖 “面神经逆行诱发电位研究”1997年获湖北省科技进步三等奖 “端粒酶在头颈肿瘤发生中的作用及靶向治疗价值”2012年湖北省自然科学三等奖
代表性论著	1. Dong, L., et al., Atorvastatin attenuates allergic inflammation by blocking prostaglandin biosynthesis in rats with allergic rhinitis. Int Immunopharmacol, 2023. 115: p. 109681. 2. Hua, H.L., et al., Differentiation of eosinophilic and non-eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning. Clin Otolaryngol, 2023. 48(2): p. 330-338. 3. Li, S., et al., Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued. Cancer Imaging, 2023. 23(1): p. 14. 4. Wen, S., et al., MIR222HG attenuates macrophage M2 polarization and allergic inflammation in allergic rhinitis by targeting the miR146a-5p/TRAF6/NF-kappaB axis. Front Immunol, 2023. 14: p. 1168920. 5. Li, S., et al., Anatomical Partition-Based Deep Learning: An Automatic Nasopharyngeal MRI Recognition Scheme. J Magn Reson Imaging, 2022. 56(4): p. 1220-1229. 6. Li, S., et al., Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI. Comput Methods Programs Biomed, 2022. 219: p. 106785. 7. Wen, S.L., et al., [Programmed cell death protein 1 and its ligands regulate immune balance in allergic rhinitis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2020. 55(4): p. 384-390.

Name	Zezhang Tao
Date of birth	Nov，1954
Department	Department of Otolaryngology-Head and Neck Surgery,Renmin Hospital,Wuhan University.
Title	Professor, doctoral tutor
Email	taozezhang@163.com
TEL	027-88041911
Research Direction	1.Rhinology: Expert in the diagnosis and treatment of rhinitis and sinusitis. 2.Hearing science: Neonatal hearing screening, and facial nerve antidromic evoked potential.. 3.Basic research of head and neck cancer: Early diagnosis and treatment of nasal and paranasal sinus neoplasms, nasopharyngeal carcinoma.
Personal Profile	He has been engaged in clinical, teaching and scientific research in otolaryngology-head and neck surgery for more than 30 years. He has presided over and completed 11 national, provincial and ministerial scientific research projects, and 5 national, provincial and ministerial scientific research projects under research. He has published more than 200 papers and more than 110 papers included in SCI. He won 1 first and second prizes and 2 third prizes of Hubei Province Science and Technology Progress Award. It has trained 30 doctoral students and 36 master students, and 7 doctoral students and 2 master students are currently training.
Selected Publications	1. Dong, L., et al., Atorvastatin attenuates allergic inflammation by blocking prostaglandin biosynthesis in rats with allergic rhinitis. Int Immunopharmacol, 2023. 115: p. 109681. 2. Hua, H.L., et al., Differentiation of eosinophilic and non-eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning. Clin Otolaryngol, 2023. 48(2): p. 330-338. 3. Li, S., et al., Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued. Cancer Imaging, 2023. 23(1): p. 14. 4. Wen, S., et al., MIR222HG attenuates macrophage M2 polarization and allergic inflammation in allergic rhinitis by targeting the miR146a-5p/TRAF6/NF-kappaB axis. Front Immunol, 2023. 14: p. 1168920. 5. Li, S., et al., Anatomical Partition-Based Deep Learning: An Automatic Nasopharyngeal MRI Recognition Scheme. J Magn Reson Imaging, 2022. 56(4): p. 1220-1229. 6. Li, S., et al., Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI. Comput Methods Programs Biomed, 2022. 219: p. 106785. 7. Wen, S.L., et al., [Programmed cell death protein 1 and its ligands regulate immune balance in allergic rhinitis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2020. 55(4): p. 384-390.