蔡香然
发布时间:2025-08-23发布人:护理学院浏览量:13
护理学院硕士研究生导师简介
姓名: 蔡香然
职称: 主任医师
导师类型: (科学学位/专业学位博士生导师)
受教育简历
1992.09-1997.07 天津医科大学 医学影像诊断专业 本科
2000.09-2003.07 暨南大学 影像医学与核医学 硕士研究生
2003.07-2006.06 中山大学 影像医学与核医学 博士研究生
工作简历
1997.08-2000.08 山西省人民医院放射科 医师
2006.07-至今 暨南大学附属第一医院医学影像中心 主治医师-主任医师
2016.01-2016.12 美国波士顿 Tufts Medical Center Department of Radiology 访问学者
任教课程
《医学影像学》、《临床影像学》本科及研究生课程、国际学院全英课程
研究方向
医学影像基础与临床研究(代谢性疾病方向)
主持及参与的主要课题
国家自然科学基金面上项目(82372076)基于磁共振-光学双模态影像技术探索Orai1抑制剂改善高糖乏氧微环境肾小管损伤的机制研究 直接经费48万,主持人,2024.01-2027.12
国家自然科学基金重点项目(62335010)面向肿瘤微环境标志物在体检测诊断的光纤传感技术研究 直接经费217万,子项目负责人 2024.01-2028.12
国家自然科学基金重点项目(81630046)微波-光声多参数早期乳腺肿瘤特异性分子成像新技术研究 参与人(第三),275万,2017.1-2021.12
国家自然科学基金青年项目(81801665)基于机器学习算法的影像组学模型多分类预测鼻咽癌治疗抵抗 参与人(第二),21万,2019.1-2021.12
广州市科技计划项目(2023A03J0612) 基于深度学习的多模态影像技术对减重前后肥胖者区域性肺结构及功能改变的可视化定量评估 主持人,20万,2023.04.01-2025.03.31
广州市科技计划项目(201804010239)基于磁共振DKI和IVIM技术的早期糖尿病肾病血液动力学异常发生机制研究 主持人 20万 2018年04月01日 至 2020年03月31日
广东省自然科学基金项目(2017A030313901)早期糖尿病肾病血液动力学异常发生机制的功能磁共振成像研究 主持人 10万 2017年05月01日至2020年05月01日
暨南大学《医学影像学》线上/线下混合一流课程/示范性全英语研究生课程建设项目(2024YKC010),主持人,5万,2024.05-2026.05
暨南大学2021年度医学教学与教育管理改革研究项目(教学改革类)(2021YXJG011)《医学影像学》基础结合临床课程体系的构建及PBL+TBL+CBL教学模式探讨,主持人,2021.01-2023.12
近年发表的主要论文及出版的专著
Li ZS,Lan N, Cheng ZY,Jin FZ,Song EL,Xu ZY,Zhang YK,Feng YZ,Cai XR,Ran Y,Bai-Ou Guan BO.In vivo fiber-optic fluorescent sensor for real-time pH monitoring of tumor microenvironment.Chemical engineering Journal. 2024,493:152495.(共同通讯作者) 1 August 2024, Page 152495
Jin Fangzhou Jin, Zhiyuan Xu, Wei Wang, Zhongyuan Cheng, Yang Wu, Zesen Li, Enlai Song, Xu Yue, YongKang Zhang, Wei Li, Youzhen Feng, Donglin Cao, Dongmei Zhang, Minfeng Chen*, Xiangran Cai*, Yang Ran*, Bai-Ou Guan*.Integrating Tumor Hypoxic Sensing and Photothermal Therapy Using a Miniaturized Fiber-Optic Theranostic Probe.Small Sci. 2024 Oct 31;5(2):2400450.(共同通讯作者)
Cheng ZY, Gong SA, Chen PK, Yu ZC, Qiu C, Lin JX, Mo JB, Qian L, Feng YZ, Cai XR.Using intravoxel incoherent motion imaging to evaluate uric acid-induced renal injury and efficacy after treatment.Br J Radiol. 2024 Jan 23;97(1153):274-282. [Corresponding author]
Xu Z, Wang YH, Wang YL, Feng YZ, Ye JS, Cheng ZY, Cai XR. Magnetic resonance imaging-based prediction models for differentiating intraspinal schwannomas from meningiomas: classification and regression tree and random forest analysis.Quant Imaging Med Surg.2024 May 1;14(5):3628-3642. [Corresponding author]
Chen PK, Cheng ZY, Wang YL, Xu BJ, Yu ZC, Li ZX, Gong SA, Zhang FT, Qian L, Cui W, Feng YZ, Cai XR.Renal interstitial fibrotic assessment using non-Gaussian diffusion kurtosis imaging in a rat model of hyperuricemia.BMC Med Imaging. 2024 Apr 3;24(1):78.[Corresponding author]
Zhou S, Tsui P, Lin M, Chen G, Chen W, Cai X.A diagnostic model based on (18)F-FDG PET/CT parameters in improving the differential diagnosis of invasive thymic epithelial tumors and anterior mediastinal lymphomas.BMC Med Imaging. 2024 Jan 8;24(1):14. [Corresponding author]
Yu X, Huang YH, Feng YZ, Cheng ZY, Wang CC, Cai XR. Association of Muscle Fat Content and Muscle Mass With Impaired Lung Function in Young Adults With Obesity: Evaluation With MRI.Acad Radiol.Acad Radiol. 2024 Jan;31(1):9-18. [Corresponding author]
Yu X, Huang YH, Feng YZ, Cheng ZY, Cai XR.Well-controlled versus poorly controlled diabetes in patients with obesity: differences in MRI-evaluated pancreatic fat content.Quant Imaging Med Surg. 2023 Jun 1;13(6):3496-3507. [Corresponding author]
Yu X, Huang YH, Feng YZ, Cheng ZY, Wang CC, Cai XR.Association of body composition with postoperative complications after laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass.Eur J Radiol. 2023 May;162:110768. [Corresponding author]
Cheng ZY, Chen PK, Feng YZ, Chen XQ, Qian L, Cai XR.Preliminary Feasibility Study on Diffusion Kurtosis Imagingto Monitor the Early Functional Alternations of Kidneys in Streptozocin-Induced Diabetic Rats. Acad Radiol. 2022 Oct 13:S1076-6332(22)00507-4. doi: 10.1016/j.acra.2022.09.016. Online ahead of print. [Corresponding author]
Luo BC, Huang XJ, Ye YJ, Cai JH, Feng YZ, Cai XR, Wang XY. CuS NP-based nanocomposite with photothermal and augmented-photodynamic activity for magnetic resonance imaging-guided tumor synergistic therapy.J Inorg Biochem. 2022 Oct;235:111940.[Corresponding author]
Hu JJ, Yu X,Yin PD, Du Bin,Cai XR. Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging for Monitoring the Immune Response of Immunogenic Chemotherapy. Front Oncol. 2022 May 13;12:796936. [Corresponding author]
Feng YZ, Liu SD, Cheng ZY, Quiroz J, Rezazadegan D,
Chen PK, Lin Q, Qian L, Liu XF, Berkovsky S, Coiera E, Song L, Qiu X, Cai XR. Severity Assessment and Progression Prediction of COVID-19 Patients based on the Lesion Encoder Framework and Chest CT. Information, 2021,12,471.[Corresponding author]
Feng YZ, Dong XN, Lin QT, Chen PK, Xiong XQ, DingKun S, Qian L, Cheng ZY, Cai XR.Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study. BMC Med Imaging. 2021 Sep 28;21(1):139. doi: 10.1186/s12880-021-00675-4. [Corresponding author]
Feng YZ, Chen XQ, Cheng ZY, Lin QT, Chen PK, Si-Tu DK, Cao R, Qian L, Heng B, Cai XR. Non-invasive investigation of early kidney damage in streptozotocin-induced diabetic rats by intravoxel incoherent motion diffusion-weighted (IVIM) MRI. BMC Nephrol. 2021 Sep 26;22(1):321. doi: 10.1186/s12882-021-02530-8. [Corresponding author]
Ye YJ, Huang XJ, Luo BC, Wang XY, Cai XR.Application of Multiparametric Magnetic Resonance Imaging to Monitor the Early Antitumor Effect of CuS@GOD Nanoparticles in a 4T1 Breast Cancer Xenograft Model. J Magn Reson Imaging. 2022 Jan;55(1):301-310. [Corresponding author]
Qiu L, Hu J, Weng Z, Liu S, Jiang G, Cai X. A prospective study of dual-energy computed tomography for differentiating metastatic and non-metastatic lymph nodes of colorectal cancer.Quant Imaging Med Surg. 2021 Aug;11(8):3448-3459. [Corresponding author]
Quiroz JC, Feng YZ, Cheng ZY, Rezazadegan D, Chen PK, Lin QT, Qian L, Liu XF, Berkovsky S, Coiera E, Song L, Qiu X, Liu S, Cai XR. Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study. JMIR Med Inform. 2021 Feb 11;9(2):e24572. doi: 10.2196/24572. [Corresponding author]
重要社会任职(兼职)
中华放射学会骨关节专业委员会委员,广东省医学会放射学分会肌骨学组委员,广东省医院协会医学影像中心专委会常委兼秘书长,广东省医师协会毕业后医学教育专业组委员,广东省健康管理学会放射专委会常委,国际肝胆胰协会中国分会肝胆胰MDT专委会会委员