周建华 |
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学术任职： 中国抗癌协会青年理事 中华医学会超声医学分会腹部学组委员 中国医师协会超声医师分会分子影像与人工智能专委会委员 中国医师协会超声医师分会腹部专委会委员 中国医师协会介入医师分会超声介入专委会 委员 广东省医学会超声医学分会副主任委员 广东省健康管理学会超声医学分会副主任委员 广东省医学教育学会超声医学分会副主任委员 广东省医师协会超声医师分会常务委员
科研项目： 国家自然科学基金国际合作重点项目：基于三维定量超声参数成像和三维灌注参数成像的影像组学预测肝转移瘤组织病理生长模式，2024.1-2028.12，210万，在研，主持。 国家自然科学基金面上项目：基于经直肠前列腺三维超声与病理容积数据配准的影像组学分析在前列腺癌诊断中的应用，2020.1-2023.12，55万，在研，主持。 国家重点研发计划课题：智能乳腺超声的临床应用研究与推广，2019.12-2021.12，40万，主持。 国家自然科学基金面上项目：基于超声RF信号的微泡次谐波散射联合谐波造影灌注分析在肿瘤组织间隙液压评价及其调控治疗中的应用研究，2017.1-2020.12, 58万，结题，主持。 国家自然科学基金面上项目：超声背散射原始射频RF信号频谱定量分析组织微结构改变早期评价肿瘤化疗疗效的实验研究，2013.1-2016.12，65万，主持。 2009年国家自然科学基金青年基金（2010-2012）：肿瘤抗血管生成治疗过程中肿瘤血管及微环境正常化的超声造影定量评价 （主持）（21万） 2017年广东省科技计划项目（2017-2019）基于量子遗传算法及超声射频流动态挖掘在肝纤维化早期诊断中的应用研究（主持）（10万） 2013年教育部新世纪优秀人才支持计划（2014-2016）（主持）（50万） 2012年广州市珠江科技新星项目（2012-2014）（主持）（60万） 2013年中央高校基本科研业务费中山大学青年教师重点培育项目（2013-2015）：基于超声RF信号的背散射频谱质心频率偏移量分析组织衰减早期评价肿瘤化疗疗效的实验研究（主持）（15万） 2010年中央高校基本科研业务费中山大学青年教师培养项目（2011-2013）：微泡靶向VEGFR-2分子成像评价肿瘤血管生成和抗血管生成治疗的实验研究（主持）（15万） 中山大学肿瘤防治中心第一批优秀青年人才培训计划 （主持）（25万） 肿瘤防治中心留学回国人员科研启动基金 （主持）（3万）
主要论著： Li L, Zou X, Zheng W, Li Y, Xu X, Li K, Su Z, Han J, Li Q, Zuo Y, Xie S, Wen H, Wang J, Guo Z, Zou R, Zhou J*. Contrast-enhanced US with Sulfur Hexafluoride and Perfluorobutane: LI-RADS for Diagnosing Hepatocellular Carcinoma. Radiology. 2023 Aug;308(2):e230150. *Corresponding Author Xiao L#, ZhouJ# , Tan W, Liu Y, Zheng H, Wang G, Zheng W, Pei X, Yang A, LiuL. Contrast-enhanced US with Perfluorobutane to Diagnose Small Lateral Cervical Lymph Node Metastases of Papillary Thyroid Carcinoma. Radiology 2023;307(4):e221465. #Co-first author Huang Y, Yao Z, Li L, Mao R, Huang W, Hu Z, Hu Y, Wang Y, Guo R, Tang X, Yang L, Wang Y, Luo R*, Yu J*, Zhou J*. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers. EBioMedicine 2023 Aug;94:104706. *Corresponding Author Zheng X, Yao Z., Huang Y, Yu Y, Wang Y, Liu Y, Mao R, Li F, Xiao Y, Wang Y, Hu Y, Yu J, Zhou J*. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. Nature Communications 2020; 11(1), pp.1-9. *Corresponding Author Zheng W, Li Q, Zou XB, Wang JW, Han F, Li F, Huang LS, Li AH, Zhou JH*. Evaluation of Contrast-Enhanced Ultrasound LI-RADS v2017: Application on 2,020 Liver Nodules in Patients with Hepatitis B Infection. Radiology 2020; 294:299–307. *Corresponding Author Lin M, Du T, Tang X, Liao Y, Cao L, Zhang Y, Zheng W, Zhou JH*. An estrogen response-related signature predicts response to immunotherapy in melanoma. Front Immunol. 2023; 14: 1109300. *Corresponding Author Hu YX, Yan CJ, Yun M, Zheng W, Zou XB, Zhang YF, Mao RS, Li LL, Zhou JH*. Contrast-enhanced ultrasound liver imaging reporting and data system v2017: patient outcomes after treatment for early-stage hepatocellular carcinoma nodules with category 3-5 and category M. Br J Radiol 2023 Apr 22;20220492. *Corresponding Author Wang Y, Lu H, Huang L, Li D, Qiu W, Li L, Xu G, Su M, Zhou J*, Li F. Noninvasive Estimation of Tumor Interstitial Fluid Pressure from Subharmonic Scattering of Ultrasound Contrast Microbubbles. Biosensors (Basel) 2023;13(5):528. *Corresponding Author Li L, Mao S, Wang J, Zheng W, Shen J, Clevert DA, Zhou J*. Intraindividual Comparison of Contrast-Enhanced Ultrasound Using Perfluorobutane With Modified Criteria Versus CT/MRI LI-RADS Version 2018 for Diagnosing HCC in High-Risk Patients. AJR Am J Roentgenol 2023 ;220(5):682-691. *Corresponding Author Wang H, Hu Y, Lu Y, Zhou J*, Guo Y. The uncertainty of boundary can improve the classification accuracy of BI-RADS 4A ultrasound image. Med Phys 2022; 49(5):3314-3324. *Corresponding Author Wen H, Zheng W, Li M, Li Q, Liu Q, Zhou J*, Liu Z, Chen X. Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-engineering and Machine-learning Based Analysis. IEEE J Biomed Health Inform 2022;26(2):715-726. *Corresponding Author Liu Y, Li X, Yan C, Liu L, Liao Y, Zeng H, Huang W, Li Q, Tao N, Zhou J*. Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS a multi-center validation study based on 2061 thyroid nodules. Eur Radiol 2022; 32(11):7733-7742. *Corresponding Author Lin M, Tang X, Cao L, Liao Y, Zhang Y, Zhou JH*. Using ultrasound radiomics analysis to diagnose cervical lymph node metastasis in patients with nasopharyngeal carcinoma. Eur Radiol 2023;33(2):774-783. *Corresponding Author Li L, Zheng W, Wang J, Han J, Guo Z, Hu Y, Li X, Zhou J*. Contrast-Enhanced Ultrasound Using Perfluorobutane Impact of Proposed Modified LI-RADS Criteria on Hepatocellular Carcinoma Detection. AJR Am J Roentgenol. 2022; 219(3):434-443. *Corresponding Author Huang Y, Liu Y, Wang Y, Zheng X, Han J, Li Q, Hu Y, Mao R, Zhou JH*. Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer. Br J Radiol 2021;94(1127):20210682. *Corresponding Author Cao L, Wei M, Liu Y, Fu J, Zhang H, Huang J, Pei X, Zhou J*. Validation of American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US): Analysis on 1054 adnexal masses. Gynecol Oncol. 2021;162(1):107-112. *Corresponding Author Li L, Hu Y, Han J, Li Q, Peng C, Zhou J*. Clinical Application of Liver Imaging Reporting and Data System for Characterizing Liver Neoplasms: A Meta-Analysis. Diagnostics (Basel). 2021;11(2):323. *Corresponding Author Liu Y, Li S, Yan C, He C, Yun M, Liu M, Zhou J*, Liu L. Value of dual-phase, contrast-enhanced CT combined with ultrasound for the diagnosis of metastasis to central lymph nodes in patients with papillary thyroid cancer. Clin Imaging. 2021 Jul;75:5-11. *Corresponding Author Li F, Li Q, Liu Y, Han J, Zheng W, Huang Y, Zheng X, Cao L, Zhou JH*. Distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma in patients with and without risks: the evaluation of the LR-M criteria of contrast-enhanced ultrasound liverimaging reporting and data system version 2017. Eur Radiol 2020; 30:461-470. *Corresponding Author Zheng X, Huang Y, Liu Y, Wang Y, Mao R, Li F, Cao L, Zhou J*. Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer. Korean J Radiol 2020;21(2):172-180. *Corresponding Author Wang Y, Liu Y, Zheng X, Huang Y, Han J, Li F, Mao R, Li Q, Longhui Cao L, Zhou J*. Added Value of Different Types of Elastography in Evaluating Ultrasonography Detected Breast Lesions: A Compared Study With Mammography. Clin Breast Cancer 2020; 20(3):e366-e372. *Corresponding Author Liu M, Yin S, Li Q, Liu Y, Pei X, Han F, Li AH, Zhou J*. Evaluation of the Extent of Mesorectal Invasion and Mesorectal Fascia Involvement in Patients with T3 Rectal Cancer With 2-D and 3-D Transrectal Ultrasound: A Pilot Comparison Study With Magnetic Resonance Imaging Findings. Ultrasound Med Biol. 2020;46(11):3008-3016. *Corresponding Author Zheng X, Huang Y, Wang Y, Liu Y, Li F, Han J, Wang J, Cao L, Zhou J*. Combination of different types of elastography in downgrading ultrasound Breast Imaging-Reporting and Data System category 4a breast lesions. Breast Cancer Res Treat. 2019; 174(2):423-432. *Corresponding Author Liu Y, Huang Y, Han J, Wang J, Li F, Zhou J*. Association Between ShearWave Elastography of Virtual Touch Tissue Imaging Quantification Parameters andthe Ki-67 Proliferation Status in Luminal-Type Breast Cancer. J Ultrasound Med. 2019 38(1):73-80. *Corresponding Author Han J, Li F, Peng C, Huang Y, Lin Q, Liu Y, Cao L, Zhou J*. Reducing Unnecessary Biopsy of Breast Lesions: Preliminary Results with Combination of Strainand Shear-Wave Elastography. Ultrasound Med Biol. 2019; 45(9):2317-2327. *Corresponding Author Huang Y, Li F, Han J, Peng C, Li Q, Cao L, Liu Y, Zhou J*. Shear Wave Elastography of Breast Lesions: Quantitative Analysis of Elastic Heterogeneity Improves Diagnostic Performance. Ultrasound Med Biol. 2019;45(8):1909-1917. *Corresponding Author Li F, Huang Y, Wang J, Lin C, Li Q, Zheng X, Wang Y, Cao L, Zhou J*. Early differentiating between the chemotherapy responders and nonresponders: preliminary results with ultrasonic spectrum analysis of the RF time series in preclinical breast cancer models. Cancer Imaging. 2019; 28;19(1):61. *Corresponding Author Zhou JH, Shan HB, Ou W, Mo YX, Xiang J, Wang Y, Li J, Wang SY. Contrast-Enhanced Ultrasound Improves the Pathological Outcomes of US-Guided Core Needle Biopsy That Targets the Viable Area of Anterior Mediastinal Masses. Biomed Res Int. 2018;2018:9825709. Liu Y, Chen S, Zheng C, Ding M, Zhang L, Wang L, Xie M, Zhou JH*. The prognostic value of the preoperative c-reactive protein/albumin ratio in ovarian cancer. BMC Cancer 2017; 17:285. *Corresponding Author Li F, Han J, Han F, Wang JW, Luo RZ, Li AH, Zhou JH*. Combined Hepatocellular Cholangiocarcinoma (Biphenotypic) Tumors: PotentialRole of Contrast-Enhanced Ultrasound in Diagnosis. AJR Am J Roentgenol 2017;209(4):767-77. *Corresponding Author Zhou J, Zhang H, Wang H, Lutz AM, El Kaffas A, Tian L, Hristov D, Willmann JK. Early prediction of tumor response to bevacizumab treatment in murine colon cancer models using three-dimensional dynamic contrast-enhanced ultrasound imaging. Angiogenesis 2017;20(4):547-555. Zhou J*, Wang H, Zhang H, Lutz AM, Tian L, Hristov D, Willmann JK. VEGFR2-Targeted Three-Dimensional Ultrasound Imaging Can Predict Responses to Antiangiogenic Therapy in Preclinical Models of Colon Cancer. Cancer Res 2016 76 (14): 4081-4089. Chen Y, Han F, Cao LH, Li C, Wang JW, Li Q, Zheng W, Guo ZX, Li AH, Zhou JH*. Dose-response relationship in cisplatin-treated breast cancer xenografts monitored with dynamic contrast-enhanced ultrasound. BMC Cancer 2015;15:136 . *Corresponding Author Han J, Liu YB, Han F, Li Q, Yan CJ, Zheng W, Wang JW, Guo ZX, Wang J, Li AH, Zhou JH*. The degree of contrast washout on contrast-enhanced ultrasound in distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma. Ultrasound Med Biol 2015, 41(12):3088-95. *Corresponding Author Lin CY, Cao LH, Wang JW, Zheng W, Chen Y, Feng ZZ, Li AH, Zhou JH*. Ultrasonic spectrum analysis for in vivo characterization of tumor microstructural changes in the evaluation of tumor response to chemotherapy using diagnostic ultrasound. BMC Cancer 2013;13:302. *Corresponding Author Wang JW, Zheng W, Liu JB, Chen Y, Cao LH, Luo RZ, Li AH, Zhou JH*. Assessment of early tumor response to cytotoxic chemotherapy with dynamic contrast-enhanced ultrasound in human breast cancer xenografts. PLoS One 2013; 8(3):e58274. *Corresponding Author Wang JW, Zheng W, Chen Y, Cao LH, Luo RZ, Li AH, Zhou JH*. Quantitative assessment of tumor blood flow changes in a murine breast cancer model after adriamycin chemotherapy using contrast-enhanced destruction-replenishment sonography. J Ultrasound Med. 2013; 32(4):683-90. *Corresponding Author Zhou JH, Cao LH, Liu JB, Zheng W, Liu M, Luo RZ, Han F, Li AH. Quantitative assessment of tumor blood flow in mice after treatment with different doses of an antiangiogenic agent with contrast-enhanced destruction-replenishment US. Radiology 2011; 259(5):406-413.
更新日期：2023年12月29日 |
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