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JIALIN YUAN
MD, MSc(Advanced Neuroimaging), Radiologist
About Jialin Yuan
袁家琳个人简历
Jialin Yuan is a radiologist in Shenzhen People’s Hospital, the Second Clinical Medical College of Jinan University in China. She also holds a master degree in “Advanced Neuroimaging” from University College London. She has a good knowledge of the basic scientific and technological principles of modern neuroimaging methods, and in their application to neurological function and neurological disorders. Her fields of expertise include imaging preprocessing, MR diffusion and structural connectivity, functional MR imaging in various neurological disorders with focus on neuro-oncology. She can also apply magnetic susceptibility mapping, morphology and volumetric, perfusion and other kinds of advanced neuro-imaging techniques in research background. Now she is learning data-mining based on MR images.
袁家琳是深圳市人民医院放射科主治医师,她拥有三甲医院10年以上放射诊断经验,并获得英国伦敦大学学院(UCL)高级神经影像专业硕士研究生学位。研究方向为脑功能成像在中枢系统疾病(特别是脑肿瘤)中的应用,主要擅长影像图像后处理(图像融合,配准,校准),弥散成像,结构网络的应用,能够运用SPM,FSL等软件对神经影像图像进行定量分析。现在正在学习大数据下的数据挖掘(data mining)及计算机学习(machine learning)。工作期间,曾参与美国西北大学医学院、美国哈佛大学乳腺影像中心三名工程团队工作,并作为团队工作陪同翻译。
Publication
论文
Yuan, J., Siakallis, L., Li, H.B. et al. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Med Imaging 24, 104 (2024). https://doi.org/10.1186/s12880-024-01274-9
Li L, Lin X, Liao T, Ouyang R, Li M, Yuan J, Ma J. Clinical application of convolutional neural network for mass analysis on mammograms. Quant Imaging Med Surg. 2023 Dec 1;13(12):8413-8422. doi: 10.21037/qims-23-642. Epub 2023 Oct 27. PMID: 38106316; PMCID: PMC10722008.
Liu X, Xu T, Peng Y, Yuan J, Wang S, Xu W, Gong J. Non-contrast cine cardiovascular magnetic resonance-based radiomics nomogram for predicting microvascular obstruction after reperfusion in ST-segment elevation myocardial infarction. Front Cardiovasc Med. 2023 Nov 3;10:1274267. doi: 10.3389/fcvm.2023.1274267. PMID: 38028453; PMCID: PMC10655024.
Changsi Jiang;Yan Luo;Jialin Yuan;Shuyuan You;Zhiqiang Chen;Mingxiang Wu;Guangsuo Wang;Jingshan Gong. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma. European Radiology, Volume 30, pages 4050–4057, (2020). DOI.10.1007/s00330-020-06694-z
Mingxiang Wu, Xiaoling Zhong, Quanzhou Peng, Mei Xu, Shelei Huang, Jialin Yuan, Jie Ma, Tao Tan. Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting. European Journal of Radiology, Volume 114, May 2019, Pages 175-184.
Yuan J, Gong J. CT features of metanephric adenoma: a case report and review of the literature[J]. Quant Imaging Med Surg, 2014, 4(6):505-508.
Diana Roettger;Jialin Yuan;Laura Mancini;Steffi Thust;Sebastian Brandner;Jeremy Rees;Andrew McEvoy;Sotirios Bisdas. The role of diffusion tensor imaging for non-invasive IDH phenotyping in gliomas. Journal of Clinical Oncology, 2018. DOI.10.1200/jco.2018.36.15_suppl.e24174
袁家琳, 欧阳汝珊, 戴懿, 赖小慧, 马捷, 龚静山. 基于深度学习乳腺X线摄影钙化识别分类模型的临床应用价值[J]. 数据与计算发展前沿, 2024, 6(2): 68-79.
袁东, 龚静山, 袁家琳,等. 卵巢表面浆液性交界性乳头状瘤MRI表现及临床病理对照[J]. 中国CT和MRI杂志,2020, 18(8):3.
刘永光, 罗益贤, 袁家琳,等. 功能磁共振成像评估乳腺癌新辅助化疗疗效的应用效果[J]. 现代医用影像学, 2019, 028(012):2610-2611,2625.
罗益贤,马捷,刘永光,袁家琳,钟小玲,弋春燕,许梅DWI及DCE-MRI评价新辅助化疗对不同分子分型乳腺癌的疗效. 医学影像学杂志.2019,6:962-968
罗燕,唐雪,龚静山,梅东东,吴明祥,袁家琳,徐坚民. 脑胶质瘤放射基因组学研究进展[J]. 国际医学放射学杂志,2018,41(5):554-557
刘波,李龙,冯婕,袁家琳,李红. (2018).成人心肺复苏后缺血缺氧脑病的MRI表现与分型. 临床放射学杂志, 37(1),28-32
龚静山, 凌人男, 周阳泱, 朱进, 贾桂静, 袁家琳, 王毅祥. (2016). 采用3.0t MRI t2和t2* mapping评价下腰痛患者腰椎间盘退变. 中国CT和MRI杂志, 14(10), 113-116.
周敬淳, 刘明, 张伟, 鄢敏, 袁家琳, & 张菁菁. (2015). 鼻咽癌动态增强mri相关参数及其与dlc-1表达的关系. 中国老年学, v.35(19), 169-171.
著作及翻译书籍
参与翻译《乳腺影像学:核心复习》第二版 (书名原文:Breast Imaging:A Core Review),天津:天津科技翻译出版有限公司,2020.08出版,ISNB 978-7-543-33990-3。
《乳腺融合影像学》(Multi-modality Fusion Imageology on Breast),人民卫生出版社,ISBN 978-7-117-24635-4/R.24636
《血管瘤与血管畸形诊疗图谱》(Hemangiomas and Vascular Malformations: An Atlas of Diagnosis and Treatment),人民军医出版社,ISBN 978-7-5091-4806-8
授权发明专利及计算机软件著作权
马捷,赵乐勇,矫娜,袁家琳,陶红,胡泓,严文辉,一种用于筛查和监测乳腺癌的多模影像学系统,2015.12.16,中国,CN105147398A
深圳市人民医院(深圳市呼吸疾病研究所),袁家琳,马捷,国人乳腺X线BI-RADS分类辅助诊断及结构化报告书写软件,2023.10.27 ,中国,2023SR1324898
于江波,曹圳杰,马捷;袁家琳,一种可视化的乳腺医学影像分析装置,专利申请日:2023年9月11日;授权公告日2024年7月9日,专利号:ZL 2023 2 2467846.3;授权公告号:CN 221303907 U
会议论文
1.Jialin Yuan, Sotirios Bisdas,Laura Mancini,CAN HISTOGRAM ANALYSIS OF DIFFUSION TENSOR IMAGING IDENTIFY GLIOMA IDH MUTATION STATUS?, Asia-Oceanian Congress of Neuroradiology (AOCNR), International Convention Center Taipei, 18-20 March 2018
2. Jialin Yuan, Sotirios Bisdas,Laura Mancini,Association between 1p/19q Co-deletion Status and Diffusion Tensor Imaging Metrics in IDH Mutant Type Gliomas, Symposium Neuroradiologicum (SNR), International Convention Center Taipei, 19-23 March 2018
3. Diana Roettger, Jialin Yuan, Laura Mancini, Steffi Thust, Sebastian Brandner, Jeremy Rees, Andrew McEvoy, Sotirios Bisdas, THE ROLE OF DIFFUSION TENSOR IMAGING FOR NON-INVASIVE IDH PHENOTYPING IN GLIOMAS,American Society of Clinical Oncology (ASCO), June 1-5, 2018 Chicago, USA.
4. Sotirios Bisdas, Jialin Yuan, Laura Mancini, Diana Roettger,CAN DIFFUSION TENSOR MRI IDENTIFY GLIOMA IDH MUTATION STATUS?, European Society for Medical Oncology (ESMO),Munich, Germany,19-23 Oct 2018
5.J. Yuan, Z. Cao, R. Ouyang, J. Ma, X. Lin, J. Gong,Enhancing Mammographic Calcification Diagnosis: Evaluating the Efficacy of Deep Learning Integration with Junior and Senior Radiologist Readings,European Congress of Radiology 2024, Vienna, Austria, Feb.28 to Mar.3, 2024
Membership
China Association of Cancer Prevention Neurotumor Specialized Committee 中国抗癌协会神经肿瘤分会委员
Guangdong Association of Cancer Tumour Imagings Specialized Committee 广东省抗癌协会肿瘤影像专业委员会第一届青年委员会委员
Member of the Radiologists Branch of Shenzhen Physicians Association Association 深圳市医师协会放射医师分会理事会理事
Member of the Breast Section of the Shenzhen Medical Association深圳市医学会乳腺学组委员
Cancer Imaging and Big Data Special Committee of Guangdong Medical Association 广东省医学会肿瘤影像与大数据专委会青年学组委员
Member of the Shenzhen Alliance Brain Tumor and Brain Metastasis Professional Committee of the China Cancer Prevention and Treatment Alliance中国肿瘤防治联盟深圳市联盟脑瘤和脑转移瘤专业委员会委员
Awards
1. the First Prize of the English Speech Contest at the Academic Conference of the 17th Radiology Congress and the 7th Radiology Technology Congress of Guangdong Medical Association
广东省医学会第十七次放射医学学术会议暨第七次影像技术学学术会议英文演讲比赛一等奖(2018.8.12)
2. the First Prize of the Case Report Contest at the 2018 Shenzhen Medical Doctor Association Radiologist Branch Annual Conference
2018年深圳市医师协会放射分会读片会一等奖(2018.9.15)
3. the First Prize of the 2018 Shenzhen Difficult Cases Final Contest
2018年度深圳市疑难病例读片会总决赛一等奖(2018.12.15)
4. 艾力彼2022创新科技赋能医管案例大赛——影像未来 一等奖(2022.12.26)
5. 深圳2023年度十大健康科普之星(2023.12.26)
6. 深圳市对口帮扶和平县支医工作和平县卫生健康局授予“最美医师”称号(2023.11)
7. 深圳市对口和平县医疗卫生帮扶工作深圳对口帮扶和平工作组“优秀帮扶工作者”称号(2023.11)
Research Project
2024年 广东省医学科研基金项目,基于深度学习的乳腺X线摄影与自然语言处理技术对乳腺内潜在恶性病变的分层评估研究,A2024506,广东省卫生健康委员会,0.5万元,在研,负责人
2023年 国际科技自主合作项目,基于多模态深度学习算法对乳腺癌筛查和诊断评估系统研究,GJHZ20220913142613025,深圳市科技创新委员会,50万元,在研,第2名
2022年 国家自然科学基金委员会,面上项目,62276121,面向数据不确定性的多模态医学影像分析理论和方法,2023-01-01至2026-12-31,53万元,在研,参与
2019年 基于多参数CMRI影像学生物标记评价心肌纤维化的实验和临床研究 深圳市科技计划项目 深圳市科技研发资金 第2名
No.20180923093603540/ GJHZ20180928172002087 深圳市科技创新委员会【2019】244号 ,50万,2019-09至2021-09,已结题
2018年 影像组学预测乳腺癌新辅助化疗疗效模型的建立 广东省卫生计生委 广东省医学科研基金项目 项目组第4名;
(2018) Radiomics prediction of a therapeutic evaluation model for breast cancer neoadjuvant chemotherapy; Guangdong Provincial Health and Family Planning Commission; Guangdong Medical Research Fund Project) No. 2017114221426693 / A2018493
2018-07至2020-06
2018年 功能磁共振影像组学对乳腺癌新辅助化疗疗效的预测研究 深圳市卫生系统科研项目 重点学科建设能力提升项目 第3名
No. 201803070183 2018-05至2021-05
2018年 多参数功能磁共振影像组学标志预测乳腺癌新辅助化疗疗效的研究 深圳市知识创新计划 基础研究项目 深圳市科技研发资助 深圳市科技创新委员会 第3名 50万 2019-03至2022-03-30
No. 20180211105007298/JCYJ20180305164740612
2015年 影像学筛查乳腺癌高危因素成分效益控制 深圳市科技创新委员会 基础研究项目 项目组第4名
(2015) Benefit Control of Risk Factors in Medical Imaging for Breast Cancer Screening; Shenzhen Science and Technology Innovation Committee Project
No. JCYJ20150403101146281 30万,已结题,2015-08至2018-03-08
CV
个人简历
Radiologist 放射科主治医生
2017.9 - now
works in the Radiology department in the Shenzhen People’s Hospital in China
就职于深圳市人民医院放射科
Postgraduate study in University College London
英国伦敦大学学院硕士研究生
2016.9 - 2017.9
Major: Advanced Neuroimaging
Thesis topic: The Correlation Between Diffusion Tensor Imaging and IDH Subtypes in Gliomas
专业:高级神经影像学
研究方向:弥散成像与胶质瘤IDH基因亚型的相关度分析
Radiologist 放射科医生
2014.7 - 2016.9
worked in the Radiology department in the Shenzhen People’s Hospital in China
就职于深圳市人民医院放射科
Residency 住院医师规范化培训
2011.7 - 2014.7
trained in radiologic, medical and surgical sub-specialties in Shenzhen People's Hospital
于深圳市人民医院进行内外科及放射科规范化培训
Undergraduate study in Medicine in Southern Medical University
本科就读于南方医科大学第一临床医学院
2006.9 - 2011.7
5 years medicine education including 1 year rotations in Nanfang Hospital
5年制医学本科教育(包括为期1年的南方医科大学实习经历)
supports for Heping People's Hospital in the remote northern part of Guangdong Province
赴河源市和平县人民医院影像中心进行对口帮扶
2022.12.29 - 2023.12.29
1 year support for the Heping People's Hospital by offering diagnostic support and disciplinary development suggestions to local departments and imaging medical community units. Researching on new technologies and projects, and establishing a platform for local remote imaging consultations.
赴和平县人民医院影像中心进行对口帮扶,帮扶覆盖和平县的县级医院医共体及乡镇卫生院,为当地科室及影像医共体单位提供诊断支持及学科建设建议,研究新技术新项目,为当地远程影像会诊搭建平台。获得深圳市对口帮扶和平县支医工作和平县卫生健康局授予“最美医师”称号,深圳市对口和平县医疗卫生帮扶工作深圳对口帮扶和平工作组“优秀帮扶工作者”称号。
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