个人简介
孙加源教授,主任医师,医学博士,博士生和博士后导师。现任上海交通大学医学院和生物医学工程学院博导、上海交通大学医学院胸科医院呼吸与危重症医学科常务副主任、呼吸内镜中心主任、呼吸介入中心主任、上海呼吸内镜工程技术研究中心主任。
2007年获得复旦大学医学博士学位,曾赴日本圣玛利亚大学、日本国立癌症中心、美国华盛顿大学医学院等进修支气管内超声技术、肺外周病变诊断技术、经支气管镜肺减容技术。自2014年起担任上海交大医学院本科生及研究生教学与指导工作,获上海交通大学医学院研究生课程建设项目“医学图像人工智能分析理论和实践”1项。
作为项目负责人主持国家重点研发计划、国家自然基金等纵向课题20余项,以第一或通讯作者发表SCI论文60篇,主编专著1部、教学录像2部,主译专著1部,负责或执笔制定共识6项,以第一发明人授权发明专利5件、实用新型24件、软件著作权3件。先后获上海市卫生计生系统优秀学科带头人、全国优秀中青年呼吸医师、上海市优秀技术带头人、上海医学科技奖二等奖两次等荣誉和奖项。
科研项目
1、国家重点研发计划项目“基于国产电磁导航系统的早期肺癌精准诊疗技术集成解决方案研究”,2017-07至2020-12,项目负责人。
2、上海市科学技术委员会工程技术研究中心建设专项“上海呼吸内镜工程技术研究中心”,2018-11-01至2020-10-30,项目负责人。
3、国家自然科学基金委员会面上项目“基于支气管内超声多模态影像的胸内良恶性淋巴结预测模型研究”,2019-01至2022-12,项目负责人。
4、上海市胸科医院多学科协同临床研究创新项目“人工智能在呼吸内镜中的临床应用和转化研究”,2019-01至2021-12,项目负责人。
5、上海交通大学“交大之星”计划医工交叉研究基金,新型冠状病毒防治攻关专项“新型冠状病毒肺炎诊疗气管镜机器人研发和应用”,2020-02至2021-02,项目负责人。
6、上海市科学技术委员会“科技创新行动计划”生物医药科技支撑专项项目“用于肺结节精准诊疗的气管镜机器人实验室样机研发”,2020-10-01至2023-09-30,项目负责人。
7、上海微创智领医疗科技有限公司医工合作项目“肺结节经支气管导航和定位关键技术研究”,2022-07-01至2024-06-30,项目负责人。
近期论文
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[1]Li Y, Zheng X, Xie F, Ye L, Bignami E, Tandon YK, Rodríguez M, Gu Y, Sun J. Development and validation of the artificial intelligence (AI)-based diagnostic model for bronchial lumen identification. Transl Lung Cancer Res. 2022;11(11):2261-2274.
[2]Xie F, Zhang Q, Liu S, Yan L, Zhou Y, Sun J. Learning curve of a robotic-assisted bronchoscopy system in sampling peripheral pulmonary nodules. Chin Med J (Engl). 2022;135(22):2753-2755.
[3]Zheng X, Zhong C, Xie F, Li S, Wang G, Zhang L, Sun J. Virtual bronchoscopic navigation and endobronchial ultrasound with a guide sheath without fluoroscopy for diagnosing peripheral pulmonary lesions with a bronchus leading to or adjacent to the lesion: A randomized non-inferiority trial. Respirology. 2022. doi: 10.1111/resp.14405.
[4]Yu W, Zheng H, Gu Y, Xie F, Yang J, Sun J, Yang GZ. TNN: Tree Neural Network for Airway Anatomical Labeling. IEEE Trans Med Imaging. 2022. doi: 10.1109/TMI.2022.3204538.
[5]Gu Y, Gu C, Yang J, Sun J, Yang GZ. Vision-Kinematics-Interaction for Robotic-Assisted Bronchoscopy Navigation. IEEE Trans Med Imaging. 2022;41(12):3600-3610.
[6]Zhi X, Sun X, Chen J, Wang L, Ye L, Li Y, Xie W, Sun J. Combination of 18F-FDG PET/CT and convex probe endobronchial ultrasound elastography for intrathoracic malignant and benign lymph nodes prediction. Front Oncol. 2022;12:908265.
[7]Zheng X, Cao L, Zhang Y, Xie F, Yang H, Liu J, Qu S, Zhang J, Sun J. A Novel Electromagnetic Navigation Bronchoscopy System for the Diagnosis of Peripheral Pulmonary Nodules: A Randomized Trial. Ann Am Thorac Soc. 2022;19(10):1730-1739.
[8]Xu M, Chen J, Li J, Zhi X, Dai W, Sun J, Xiong H. Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. IEEE J Biomed Health Inform. 2022. doi: 10.1109/JBHI.2022.3152625.
[9]Sun J, Criner GJ, Dibardino D, Li S, Nader D, Lam B, Kopas L, Wahidi MM, Majid A, Marron R, Verga S, Herth FJF. Efficacy and safety of virtual bronchoscopic navigation with fused fluoroscopy and vessel mapping for access of pulmonary lesions. Respirology. 2022;27(5):357-365.
[10]Zheng X, Yuan H, Gu C, Yang C, Xie F, Zhang X, Xu B, Sun J. Transbronchial lung parenchyma cryoablation with a novel flexible cryoprobe in an in vivo porcine model. Diagn Interv Imaging. 2022;103(1):49-57.
[11]Zheng H, Qin Y, Gu Y, Xie F, Yang J, Sun J, Yang GZ. Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans Med Imaging. 2021;40(9):2452-2462.
[12]Zhi X, Li J, Chen J, Wang L, Xie F, Dai W, Sun J, Xiong H. Automatic Image Selection Model Based on Machine Learning for Endobronchial Ultrasound Strain Elastography Videos. Front Oncol. 2021;11:673775.
[13]Zhi X, Chen J, Wang L, Xie F, Zheng X, Li Y, Sun J. Endobronchial Ultrasound Multimodal Imaging for the Diagnosis of Intrathoracic Lymph Nodes. Respiration. 2021;100(9):898-908.
[14]Li J, Zhi X, Chen J, Wang L, Xu M, Dai W, Sun J, Xiong H. Deep learning with convex probe endobronchial ultrasound multimodal imaging: A validated tool for automated intrathoracic lymph nodes diagnosis. Endosc Ultrasound. 2021;10(5):361-371.
[15]Zhi X, Wang L, Chen J, Zheng X, Li Y, Sun J. Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions. J Thorac Dis. 2020;12(12):7645-7655.
[16]Zheng X, Wang L, Chen J, Xie F, Jiang Y, Sun J. Diagnostic value of radial endobronchial ultrasonographic features in predominant solid peripheral pulmonary lesions. J Thorac Dis. 2020;12(12):7656-7665.
[17]Yuan HB, Wang XY, Sun JY, Xie FF, Zheng XX, Tao GY, Pan L, Hogarth DK. Flexible bronchoscopy-guided microwave ablation in peripheral porcine lung: a new minimally-invasive ablation. Transl Lung Cancer Res. 2019;8(6):787-796.
[18]Zheng X, Yang C, Zhang X, Yuan H, Xie F, Li Y, Xu B, Herth FJF, Sun J. The Cryoablation for Peripheral Pulmonary Lesions Using a Novel Flexible Bronchoscopic Cryoprobe in the ex vivo Pig Lung and Liver. Respiration. 2019;97(5):457-462.
[19]Xie F, Zhang Y, Mao X, Zheng X, Han-Zhang H, Ye J, Zhao R, Zhang X, Sun J. Comparison of genetic profiles among primary lung tumor, metastatic lymph nodes and circulating tumor DNA in treatment-naïve advanced non-squamous non-small cell lung cancer patients. Lung Cancer. 2018;121:54-60.
[20] Mao X, Zhang Z, Zheng X, Xie F, Duan F, Jiang L, Chuai S, Han-Zhang H, Han B, Sun J. Capture-based targeted ultradeep sequencing in paired tissue and plasma samples demonstrates differential subclonal ctDNA-releasing capability in advanced lung cancer. J Thorac Oncol. 2017;12(4):663-672.