编者按：MRI-PlaqueView软件，可以对斑块成分进行量化可视化分析，在斑块诊断，疗效评估，以及优化治疗方案方面应用价值巨大。从科学研究到临床应用，从期刊论文到硕士博士学位论文，从中国到世界各地（美国以及欧亚各国等），MRI-PlaqueView持续为全球学者提供先进的斑块分析技术并取得了丰硕成果，现做简要整理，以飨读者。

部分解读

1. 管腔狭窄是斑块易损性成分的重要预测因子
2. 艾塞那肽对2型糖尿病患者颈动脉粥样硬化的影响：RCT研究
   
3. 负荷超声心动图与颈动脉造影联合使用，监测斑块内新生血管
4. 影响因子23！意大利实验组发文，MRI-PlaquView参与···
   
5. 瑞典皇家理工学院开发诊断新方法，以MRI-PlaqueView分析结果为参考金标准
   
6. 美国梅奥，瑞典皇家理工学院以及日本学者联合发布创新型实验结果
7. Circulation发文展示MRI-PlaqueView&PET-MR联合应用最新科研成果
8. MRI-PlaqueView在西班牙再出科研新成果，分析范围扩大至髂股动脉
   
9. MRI-PlaqueView参与都柏林大学科研，成果在欧洲卒中组织大会分享
10. 这个实验刚开始做，快来看看有没有借鉴价值
11. 又找到四篇论文，MRI-PlaqueView提供技术支持
12. 论文速递 | 3.0T磁共振颈动脉斑块高分辨成像的临床应用及炎症指标NLR在易损斑块诊断中的参考价值
    
13. 论文速递 | 血清CDl47对颈动脉斑块内出血的相关性分析
14. 有研究指出：具有某些特征的颈动脉斑块进行CAS，存在重大风险
    
15. 高分辨MRI鉴别颈动脉斑块的重要意义
16. 【科研】厉害！这个课题已经发了4篇文章了！！！
17. 连续发文5篇，他们怎么做到的？
18. 美国，意大利，瑞典，韩国争相发文，国内同行必将后来居上
19. 国外硕果累累，国内奋起直追，MRI-PlaqueView全球应用版图
20. MRI-PlaqueView : 不止在中国，北欧、日韩、美国梅奥等都在用！

已发表文献列举

USA

1. Shukla, A.M., Segal, M. S., Pepine, C. J., Cheung, A. K., Shuster, J., Mohandas, R., ...& Shah, S. V. (2021). Management of Cardiovascular Disease in KidneyDisease Study: Rationale and Design. American Journal of Nephrology, 52(1),36-44.

2. Doherty, J.R., Dahl, J. J., Kranz, P. G., El Husseini, N., Chang, H. C., Chen, N. K.,Allen, J. D., Ham, K. L., & Trahey, G. E. (2015). Comparison of AcousticRadiation Force Impulse Imaging Derived Carotid Plaque Stiffness With SpatiallyRegistered MRI Determined Composition. IEEE transactions on medicalimaging, 34(11), 2354–2365. https://doi.org/10.1109/TMI.2015.2432797

3. PCSK9Inhibition in Patients With Symptomatic Intracranial Atherosclerosis (PINNACLE)(https://clinicaltrials.gov/ct2/show/NCT03507374)

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4. Reichert,W. B., Parrington, D., Goldstein, E., Chan, K., Kurtz, J., & Migrino, R. Q.(2019). Evaluation of Glucose Metabolic Activity of Carotid Artery PlaqueComponents: A Structural-Functional Assessment Using PET-MRI. Circulation, 140(Suppl_1),A14212-A14212.

1. Huang, R.,DeMarco, J. K., Ota, H., Macedo, T. A., Abdelmoneim, S. S., Huston III, J., ...& Mulvagh, S. L. (2021). Prognostic value of intraplaque neovascularizationdetected by carotid contrast-enhanced ultrasound in patients undergoing stressechocardiography. Journal of the American Society of Echocardiography, 34(6),614-624.
2. Brinjikji,W., DeMarco, J. K., Shih, R., Lanzino, G., Rabinstein, A. A., Hilditch, C. A.,... & Huston III, J. (2018). Diagnostic accuracy of a clinical carotidplaque MR protocol using a neurovascular coil compared to a surface coilprotocol. Journal of Magnetic Resonance Imaging, 48(5),1264-1272.

1. Laugesen,E., Høyem, P., Thrysoe, S., Hansen, E. S. S., Mikkelsen, A. F. S., Kerwin, W.S., ... & Kim, W. Y. (2018). Negative carotid artery remodeling in earlytype 2 diabetes mellitus and increased carotid plaque vulnerability in obesityas assessed by magnetic resonance imaging. Journal of the AmericanHeart Association, 7(16), e008677.
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1. Marlevi,D., Mulvagh, S. L., Huang, R., DeMarco, J. K., Ota, H., Huston, J., ... &Urban, M. W. (2020). Combined spatiotemporal and frequency-dependent shear waveelastography enables detection of vulnerable carotid plaques as validated byMRI. Scientific reports, 10(1), 1-13.
2. Fernández-Friera,L., Fuster, V., López-Melgar, B., Oliva, B., Sánchez-González, J., Macías, A.,Pérez-Asenjo, B., Zamudio, D., Alonso-Farto, J. C., España, S., Mendiguren, J.,Bueno, H., García-Ruiz, J. M., Ibañez, B., Fernández-Ortiz, A., & Sanz, J.(2019). Vascular Inflammation in Subclinical Atherosclerosis Detected by HybridPET/MRI. Journal of the American College of Cardiology, 73(12),1371–1382. https://doi.org/10.1016/j.jacc.2018.12.075
3. Catalano,O., Cerabolini, C., Eshja, E., Bendotti, G., De Salvo, M., Aloi, T. L., ...& Pedretti, R. F. E. (2019). 3039 Vulnerability of carotid atherosclerosis:relationship with plaque location, plaque eccentricity and vessel remodelingpatterns. Insight from the the MAGNETIC observational study. EuropeanHeart Journal, 40(Supplement_1), ehz745-0006.
4. Skagen, K.,Evensen, K., Scott, H., Krohg-Sørensen, K., Vatnehol, S. A., Hol, P. K., ...& Russell, D. (2016). Semiautomated magnetic resonance imaging assessmentof carotid plaque lipid content. Journal of Stroke and CerebrovascularDiseases, 25(8), 2004-2010.
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1. Song, Y.J., Kwak, H. S., Chung, G. H., & Jo, S. (2019). Quantification of CarotidIntraplaque Hemorrhage: Comparison between Manual Segmentation andSemi-Automatic Segmentation on Magnetization-Prepared Rapid Acquisition withGradient-Echo Sequences. Diagnostics, 9(4), 184.
2. Jeong, J.Y., Kwak, H. S., Hwang, S. B., & Chung, G. H. (2018). The Safety ofProtected Carotid Artery Stenting in Patients with Unstable Plaque on CarotidHigh-Resolution MR Imaging. Journal of the Korean Society of Radiology, 78(6),380-388.
3. Kim, S.,Kwak, H. S., & Chung, G. H. (2018). Carotid intraplaque hemorrhage inpatients with greater than fifty percent carotid stenosis was associated anacute focal cerebral infarction. Neurol Asia, 23,209-21.
4. Lee, K. J.,Kwak, H. S., Chung, G. H., Hwang, S. B., & Song, J. S. (2016). Assessmentof carotid diffusion-weighted imaging for detection of lipid-rich necrotic corein symptomatic carotid atheroma. Journal of the Korean Society ofRadiology, 74(3), 160-168.
5. Chung, G.H., Jeong, J. Y., Kwak, H. S., & Hwang, S. B. (2016). Associations betweenCerebral Embolism and Carotid Intraplaque Hemorrhage during Protected CarotidArtery Stenting. AJNR. American journal of neuroradiology, 37(4),686–691. https://doi.org/10.3174/ajnr.A4576

1. Sun, Y.,Xu, L., Jiang, Y., Ma, M., Wang, X. Y., & Xing, Y. (2020). Significance ofhigh resolution MRI in the identification of carotid plaque. Experimentaland Therapeutic Medicine, 20(4), 3653-3660. （吉大中日友谊医院）
2. Ji, A., Lv,P., Dai, Y., Bai, X., Tang, X., Fu, C., & Lin, J. (2019). Associationsbetween carotid intraplaque hemorrhage and new ipsilateral ischemic lesionsafter carotid artery stenting: a quantitative study with conventionalmulti-contrast MRI. The international journal of cardiovascular imaging, 35(6),1047-1054.（上海复旦大学附属中山医院）
3. Xia, J.,Yin, A., Li, Z., Liu, X., Peng, X., & Xie, N. (2017). Quantitative analysisof lipid-rich necrotic core in carotid atherosclerotic plaques by in vivomagnetic resonance imaging and clinical outcomes. Medical sciencemonitor: international medical journal of experimental and clinical research, 23,2745.（深圳大学第二附属医院）
4. Niu, P. P.,Yu, Y., Zhou, H. W., Liu, Y., Luo, Y., Guo, Z. N., ... & Yang, Y. (2016).Vessel wall differences between middle cerebral artery and basilar arteryplaque s on magnetic resonance imaging. Scientific reports, 6(1),1-7.（吉大一院）
5. 王琳婧. (2019).High-Resolution MRI在判定颅内MCA和BA斑块稳定性的研究价值.(Doctoral dissertation, 吉林大学).

6. 牛朋朋. (2017). 高分辨核磁管壁成像在脑血管评估中的应用研究. (Doctoraldissertation, 吉林大学).

7. 郭凯航.(2020).基于“虚气留滞”理论探究中药治疗动脉粥样硬化的用药规律与疗效机制(博士学位论文,北京中医药大学).

8. 郭文城,崔梅,王寻,陶虹月,余波.血清CD147对颈动脉斑块内出血的相关性分析[J].中华医学杂志,2018,98(42):3437-3441.（上海复旦大学附属华山医院）

9. 李晓光. (2018). 3.0T磁共振颈动脉斑块高分辨成像的临床应用及炎症指标NLR在易损斑块诊断中的参考价值. (Doctoral dissertation, 延边大学).
10. 杜艳妮, 杨利新, 王艳阳,赵轶轲, 李德彪, & 于薇. (2017). 三维单次扫描多组织对比序列和磁化强度预备梯度回波序列诊断颈动脉斑块内出血的对比研究. 中华放射学杂志, 51(006), 412-416.
11. 杜艳妮. (2017). 两种重 T1W 序列对颈动脉斑块内出血诊断的价值 (Master's thesis, 首都医科大学).
12. 杨利新, 于薇, 王占宏, 安靖, & 张天静. (2015). 磁共振单次扫描多组织对比序列对颈动脉粥样硬化斑块评价的临床初步研究. 中华老年心脑血管病杂志, 17(11), 1129-1132.

    孙培育, 吴娇艳, 刘梦秋,刘婕, & 刘影. (2020). 应用高分辨mri评估颈动脉斑块与体质指数的相关性. 医学影像学杂志, 030(002),182-186.（中国科学技术大学附属第一医院(安徽省立医院)磁共振室

    
    

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