James Ewing, Ph.D.

Director, Neurology NMR Facility
Henry Ford Hospital
2799 West Grand Blvd.
Detroit MI 48202
(313) 916-2620
[email protected]

James Ewing Ph.D. 是亨利福特医院神经内科和神经外科的高级生物科学人员吗, 十大菠菜台子物理系兼职教授, 韦恩州立大学医学院神经学系副教授. Dr. 尤因在实验动物和人类大脑的广泛生理测量方面有着悠久的研究历史, 如他的出版记录所示(见下文).

最近的学术兴趣包括使用MRI造影剂量化大鼠脑肿瘤模型的脑通透性. 这些测量在脑肿瘤对治疗干预的反应方面有了重大发现, including radiotherapy (RT), with subsequent NIH funding.  Dr. 尤因发现了一种独特的方法来估计脑肿瘤边缘正常组织的压缩程度, 并表明肿瘤的渗出液流量与这种压迫密切相关.  这导致了与其他研究专家在软组织力学和流动方面的富有成效的合作, 以及可能将这项工作扩展到预测脑肿瘤中的药物分布.  This work is ongoing. 脑积水患者体内水分平衡的研究也在进行中, 在对脑积水根本原因的开创性研究中.

其他专长包括使用动脉自旋标记测量脑血流量, 小动物急性和慢性缺血性梗死的MRI磁化转移. Dr. 尤因在应用数学和科学应用程序编程方面具有技术专长. He has developed, maintained, and documented a suite of reconstruction, curve-fitting, 以及对神经学MRI控制台获取的MRI数据进行过滤的程序. 

1. Rey JA, Ewing JR, Sarntinoranont M. 基于mri的力学模型预测胶质瘤的非均匀结构应力和间质流动. Biomedical Engineering Society Annual Meeting; Orlando, FL: Biomedical Engineering Society; 2021.
2. Rey JA, Ewing JR, Sarntinoranont M. A computational model of glioma reveals opposing, 血管渗漏和肿瘤生长对组织机械应力和孔隙度的刚度敏感效应. Biomech Model Mechanobiol. 2021;20(5):1981-2000. Epub 2021/08/08. doi: 10.1007/s10237-021-01488-8. PubMed PMID: 34363553.
3. Nagaraja TN, Elmghirbi R, Brown SL, Rey JA, Schultz L, Mukherjee A, Cabral G, Panda S, Lee IY, Sarntinoranont M, Keenan KA, Knight RA, Ewing JR. 贝伐单抗在U251胶质瘤临床前原位模型中对肿瘤血管动力学的急性成像影响. NMR Biomed. 2021;34(7):e4516. Epub 2021/04/06. doi: 10.1002/nbm.4516. PubMed PMID: 33817893.
4. Nagaraja TN, deCarvalho AC, Brown SL, Griffith B, Farmer K, Irtenkauf S, Hasselbach L, Mukherjee A, Bartlett S, Valadie OG, Cabral G, Knight RA, Lee IY, Divine GW, Ewing JR. 肿瘤初始微环境对影像学表型的影响. Cancer Treat Res Commun. 2021;27:100315. Epub 2021/02/12. doi: 10.1016/j.ctarc.2021.100315. PubMed PMID: 33571801.
5. Nagaraja TN, Bartlett S, Farmer KG, Cabral G, Knight RA, Valadie OG, Brown SL, Ewing JR, Lee IY. 大鼠原位胶质母细胞瘤模型MRI监测下激光间质热治疗对肿瘤消融的适应性. Acta Neurochir (Wien). 2021. Epub 2021/09/24. doi: 10.1007/s00701-021-05002-y. PubMed PMID: 34554269.
6. LoCastro E, Paudyal R, Mazaheri Y, Hatzoglou V, Oh JH, Lu Y, Konar AS, Vom Eigen K, Ho A, Ewing JR, Lee N, Deasy JO, Shukla-Dave A. 基于动态增强磁共振成像的头颈部肿瘤间质流体压力和速度计算模型:可行性分析. Tomography. 2020;6(2):129-38. Epub 2020/06/18. doi: 10.18383/j.tom.2020.00005. PubMed PMID: 32548289; PMCID: PMC7289251.
7. Magdoom KN, Delgado F, Bohorquez AC, Brown AC, Carney PR, Rinaldi C, Mareci TH, Ewing JR, Sarntinoranont M. 弥散灌注MRI对大鼠局灶性脑干胶质瘤肿瘤微环境的纵向评价. J Magn Reson Imaging. 2018. doi: 10.1002/jmri.26315. PubMed PMID: 30318760.
8. Elmghirbi R, Nagaraja TN, Brown SL, Keenan KA, Panda S, Cabral G, Bagher-Ebadian H, Divine GW, Lee IY, Ewing JR. 在大鼠脑肿瘤模型中应用动态增强MRI无创评估间质液压力. Magn Reson Med. 2018. doi: 10.1002/mrm.27163. PubMed PMID: 29524243.
9. Nejad-Davarani SP, Bagher-Ebadian H, Ewing JR, Noll DC, Mikkelsen T, Chopp M, Jiang Q. 一种用于DCE-T1图像渗透性参数估计的扩展血管模型. NMR Biomed. 2017;30(6). doi: 10.1002/nbm.3698. PubMed PMID: 28211961; PMCID: PMC5489235.
10. Nejad-Davarani SP, Bagher-Ebadian H, Ewing JR, Noll DC, Mikkelsen T, Chopp M, Jiang Q. 脑血管系统的参数模型，用于估计动脉输入功能(AIF)在组织水平. NMR Biomed. 2017;30(5). doi: 10.1002/nbm.3695. PubMed PMID: 28211963; PMCID: PMC5489236.
11. Nagaraja TN, Elmghirbi R, Brown SL, Schultz LR, Lee IY, Keenan KA, Panda S, Cabral G, Mikkelsen T, Ewing JR. 大鼠9L胶质瘤模型24h内肿瘤血管生理磁共振成像指标的再现性和相对稳定性. Magn Reson Imaging. 2017;44:131-9. doi: 10.1016/j.mri.2017.09.003. PubMed PMID: 28887206.
12. Elmghirbi R, Nagaraja TN, Brown SL, Panda S, Aryal MP, Keenan KA, Bagher-Ebadian H, Cabral G, Ewing JR. 在大鼠胶质瘤模型中，联合抗血管生成和放射治疗后mri追踪肿瘤血管参数的急性时间变化:识别协同作用的特征. Radiat Res. 2017;187(1):79-88. doi: 10.1667/RR14358.1. PubMed PMID: 28001908; PMCID: PMC5381817.
13. 刘丽娟，Brown SL, Ewing JR, Ala BD, Schneider KM, Schlesinger M. 无创性评估肿瘤间质液压力(TIFP). PLoS One. 2016;11(7):e0140892. doi: 10.1371/journal.pone.0140892. PubMed PMID: 27467886; PMCID: PMC4965107.
14. Ewing JR, Nagaraja TN, Aryal MP, Keenan KA, Elmghirbi R, Bagher-Ebadian H, Panda S, Lu M, Mikkelsen T, Cabral G, Brown SL. 大鼠脑肿瘤模型中肿瘤周围组织压迫可预测渗出液通量:一项嵌入肿瘤的MRI研究. NMR Biomed. 2015. doi: 10.1002/nbm.3418. PubMed PMID: 26423316.
15. Bagher-Ebadian H, Dehkordi ANV, Alamgharibi R, Nagaraja T, Nathanson D, Soltanian-Zadeh H, Brown S, Moradi H, Arbab AS, Ewing JR. Tmic-05dce-mr药代动力学模型进化技术预测埋置肿瘤间质液压力. Neuro-Oncology. 2015;17(suppl 5):v215. doi: 10.1093/neuonc/nov236.05.
16. Chwang WB, Jain R, Bagher-Ebadian H, Nejad-Davarani SP, Iskander AS, Vanslooten A, Schultz L, Arbab AS, Ewing JR. 使用血管内磁共振造影剂和DCE-MRI嵌套模型选择测量大鼠脑肿瘤动力学. J Magn Reson Imaging. 2014. Epub 2014/01/15. doi: 10.1002/jmri.24469. PubMed PMID: 24421265.
17. Aryal MP, Nagaraja TN, Keenan KA, Bagher-Ebadian H, Panda S, Brown SL, Cabral G, Fenstermacher JD, Ewing JR. 动态对比增强大鼠脑胶质瘤模型在7 T时的MRI参数和肿瘤细胞. Magn Reson Med. 2014;71(6):2206-14. Epub 2013/07/24. doi: 10.1002/mrm.24873. PubMed PMID: 23878070; PMCID: 3870046.
18. Aryal MP, Nagaraja TN, Brown SL, Lu M, Bagher-Ebadian H, Ding G, Panda S, Keenan K, Cabral G, Mikkelsen T, Ewing JR. 大鼠U251胶质瘤内动态增强MRI定量生理参数分布及重测比较. NMR Biomed. 2014;27(10):1230-8. Epub 2014/08/16. doi: 10.1002/nbm.3178. PubMed PMID: 25125367; PMCID: 4160378.
19. Ewing JR, Bagher-Ebadian H. 使用动态对比增强MRI测量血管参数的模型选择:实验和临床应用. NMR Biomed. 2013;26(8):1028-41. Epub 2013/07/25. doi: 10.1002/nbm.2996. PubMed PMID: 23881857; PMCID: 3752406.
20. Bagher-Ebadian H, Jain R, Nejad-Davarani SP, Mikkelsen T, Lu M, Jiang Q, Scarpace L, Arbab AS, Narang J, Soltanian-Zadeh H, Paudyal R, Ewing JR. Model selection for DCE-T1 studies in glioblastoma. Magn Reson Med. 2012;68(1):241-51. Epub 2011/12/01. doi: 10.1002/mrm.23211. PubMed PMID: 22127934; PMCID: 3292667.
21. Ewing JR, Brown SL, Lu M, Panda S, Ding G, Knight RA, Cao Y, Jiang Q, Nagaraja TN, Churchman JL, Fenstermacher JD. 磁共振成像测量血管通透性的模型选择:大鼠脑肿瘤9L模型中的Gadomer. J Cereb Blood Flow Metab. 2006;26(3):310-20.

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