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MRI-PlaqueView支持文獻(xiàn)匯總


編者按:MRI-PlaqueView軟件,可以對(duì)斑塊成分進(jìn)行量化可視化分析,在斑塊診斷,療效評(píng)估,以及優(yōu)化治療方案方面應(yīng)用價(jià)值巨大從科學(xué)研究到臨床應(yīng)用,從期刊論文到碩士博士學(xué)位論文,從中國到世界各地(美國以及歐亞各國等),MRI-PlaqueView持續(xù)為全球?qū)W者提供先進(jìn)的斑塊分析技術(shù)并取得了豐碩成果,現(xiàn)做簡要整理,以饗讀者。




部分解讀

  1. 管腔狹窄是斑塊易損性成分的重要預(yù)測因子
  2. 艾塞那肽對(duì)2型糖尿病患者頸動(dòng)脈粥樣硬化的影響:RCT研究
  3. 負(fù)荷超聲心動(dòng)圖與頸動(dòng)脈造影聯(lián)合使用,監(jiān)測斑塊內(nèi)新生血管
  4. 影響因子23!意大利實(shí)驗(yàn)組發(fā)文,MRI-PlaquView參與···
  5. 瑞典皇家理工學(xué)院開發(fā)診斷新方法,以MRI-PlaqueView分析結(jié)果為參考金標(biāo)準(zhǔn)
  6. 美國梅奧,瑞典皇家理工學(xué)院以及日本學(xué)者聯(lián)合發(fā)布創(chuàng)新型實(shí)驗(yàn)結(jié)果
  7. Circulation發(fā)文展示MRI-PlaqueView&PET-MR聯(lián)合應(yīng)用最新科研成果
  8. MRI-PlaqueView在西班牙再出科研新成果,分析范圍擴(kuò)大至髂股動(dòng)脈
  9. MRI-PlaqueView參與都柏林大學(xué)科研,成果在歐洲卒中組織大會(huì)分享
  10. 這個(gè)實(shí)驗(yàn)剛開始做,快來看看有沒有借鑒價(jià)值
  11. 又找到四篇論文,MRI-PlaqueView提供技術(shù)支持
  12. 論文速遞 | 3.0T磁共振頸動(dòng)脈斑塊高分辨成像的臨床應(yīng)用及炎癥指標(biāo)NLR在易損斑塊診斷中的參考價(jià)值
  13. 論文速遞 | 血清CDl47對(duì)頸動(dòng)脈斑塊內(nèi)出血的相關(guān)性分析
  14. 有研究指出:具有某些特征的頸動(dòng)脈斑塊進(jìn)行CAS,存在重大風(fēng)險(xiǎn)
  15. 高分辨MRI鑒別頸動(dòng)脈斑塊的重要意義
  16. 【科研】厲害!這個(gè)課題已經(jīng)發(fā)了4篇文章了!!!
  17. 連續(xù)發(fā)文5篇,他們?cè)趺醋龅降模?/a>
  18. 美國,意大利,瑞典,韓國爭相發(fā)文,國內(nèi)同行必將后來居上
  19. 國外碩果累累,國內(nèi)奮起直追,MRI-PlaqueView全球應(yīng)用版圖
  20. MRI-PlaqueView : 不止在中國,北歐、日韓、美國梅奧等都在用!


已發(fā)表文獻(xiàn)列舉

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)

      

Medical College of Wisconsin

  1. Koska, J.,Migrino, R. Q., Chan, K. C., Cooper-Cox, K., & Reaven, P. D. (2021). Theeffect of exenatide once weekly on carotid atherosclerosis in individuals withtype 2 diabetes: an 18-month randomized placebo-controlled study. Diabetescare44(6), 1385-1392.
  2. Migrino, R.Q., Harmann, L., Prost, R., & Bowers, M. (2010). Relating Carotid PlaqueVolume Reduction Assessed by 3T MRI with Inflammatory Cytokine Change Following6 Month Statin Treatment. Journal of the American College of Cardiology55(10S),A158-E1477.
  3. Migrino, R.Q., Bowers, M., Harmann, L., Prost, R., Doppalapudi, A., Mohyuddin, T., ...& LaDisa, J. (2009). Relationship between regional wall shear stress andcarotid plaque composition using 3 T MRI and patient-specific computationalfluid dynamics. Journal of Cardiovascular Magnetic Resonance11(1),1-316.
  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. Circulation140(Suppl_1),A14212-A14212.

 

Mayo Clinic

  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 Echocardiography34(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 Imaging48(5),1264-1272.


University of Washington

  1. Laugesen,E., H?yem, 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 Association7(16), e008677.
  2. Ota, H.,Reeves, M. J., Zhu, D. C., Majid, A., Collar, A., Yuan, C., & DeMarco, J.K. (2010). Sex differences in patients with asymptomatic carotidatherosclerotic plaque: in vivo 3.0-T magnetic resonance study. Stroke, 41(8),1630-1635.
  3. Kerwin, W.S. (2012). Carotid artery disease and stroke: assessing risk with vessel wallMRI. International Scholarly Research Notices, 2012.
  4. Kerwin, W.S., Liu, F., Yarnykh, V., Underhill, H., Oikawa, M., Yu, W., Hatsukami, T. S.,& Yuan, C. (2008). Signal features of the atherosclerotic plaque at 3.0Tesla versus 1.5 Tesla: impact on automatic classification. Journal ofmagnetic resonance imaging : JMRI, 28(4), 987–995. https://doi.org/10.1002/jmri.21529


Europe

  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., Espa?a, S., Mendiguren, J.,Bueno, H., García-Ruiz, J. M., Iba?ez, 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-S?rensen, 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.
  5. Smits, L.P. ,  Wijk, D. ,  Duivenvoorden, R. ,  Xu, D. , Yuan, C. , &  Stroes, E. S. ,et al. (2016). Manual versus automated carotid artery plaque componentsegmentation in high and lower quality 3.0 tesla mri scans. PLoS ONE, 11(12),e0164267.
  6. Engelen, A.V. , Dijk, A. V. , Truijman, M. , Klooster, R. V. , Opbroek, A. V. , & Aad,V. , et al. (2015). Multi-center mri carotid plaque component segmentationusing feature normalization and transfer learning. IEEE Transactions onMedical Imaging, 34(6), 1294-1305.
  7.  Helck, A., Bianda, N., Ganton, G., Yuan, C.,Reiser, M., Gallino, A., ... & Saam, T. (2014, April). Intra-individuellerVergleich der Plaquemorphologie in den Karotiden und Femoralarterien mithilfeder nicht-invasiven MRT-Plaquebildgebung. In R?Fo-Fortschritte auf dem Gebietder R?ntgenstrahlen und der bildgebenden Verfahren (Vol. 186, No. S01, p. VO302_5).



Korea

  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. Diagnostics9(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 Radiology78(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 Asia23,209-21.
  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


China

  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. (吉大中日友誼醫(yī)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 imaging35(6),1047-1054.(上海復(fù)旦大學(xué)附屬中山醫(yī)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 research23,2745.(深圳大學(xué)第二附屬醫(yī)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在判定顱內(nèi)MCA和BA斑塊穩(wěn)定性的研究價(jià)值.(Doctoral dissertation, 吉林大學(xué)).
  6. 牛朋朋. (2017). 高分辨核磁管壁成像在腦血管評(píng)估中的應(yīng)用研究. (Doctoraldissertation, 吉林大學(xué)).

  7. 郭凱航.(2020).基于“虛氣留滯”理論探究中藥治療動(dòng)脈粥樣硬化的用藥規(guī)律與療效機(jī)制(博士學(xué)位論文,北京中醫(yī)藥大學(xué)).

  8. 郭文城,崔梅,王尋,陶虹月,余波.血清CD147對(duì)頸動(dòng)脈斑塊內(nèi)出血的相關(guān)性分析[J].中華醫(yī)學(xué)雜志,2018,98(42):3437-3441.(上海復(fù)旦大學(xué)附屬華山醫(yī)院)

  9. 李曉光. (2018). 3.0T磁共振頸動(dòng)脈斑塊高分辨成像的臨床應(yīng)用及炎癥指標(biāo)NLR在易損斑塊診斷中的參考價(jià)值. (Doctoral dissertation, 延邊大學(xué)).
  10. 杜艷妮, 楊利新, 王艷陽,趙軼軻, 李德彪, & 于薇. (2017). 三維單次掃描多組織對(duì)比序列和磁化強(qiáng)度預(yù)備梯度回波序列診斷頸動(dòng)脈斑塊內(nèi)出血的對(duì)比研究. 中華放射學(xué)雜志, 51(006), 412-416.
  11. 杜艷妮. (2017). 兩種重 T1W 序列對(duì)頸動(dòng)脈斑塊內(nèi)出血診斷的價(jià)值 (Master's thesis, 首都醫(yī)科大學(xué)).
  12. 楊利新, 于薇, 王占宏, 安靖, & 張?zhí)祆o. (2015). 磁共振單次掃描多組織對(duì)比序列對(duì)頸動(dòng)脈粥樣硬化斑塊評(píng)價(jià)的臨床初步研究. 中華老年心腦血管病雜志, 17(11), 1129-1132.

    孫培育, 吳嬌艷, 劉夢(mèng)秋,劉婕, & 劉影. (2020). 應(yīng)用高分辨mri評(píng)估頸動(dòng)脈斑塊與體質(zhì)指數(shù)的相關(guān)性. 醫(yī)學(xué)影像學(xué)雜志, 030(002),182-186.(中國科學(xué)技術(shù)大學(xué)附屬第一醫(yī)院(安徽省立醫(yī)院)磁共振室



Meetingand news

  1. Giannotti,N., McNulty, J. P., Barry, M., Crowe, M., Foley, S. J., Kavanagh, E., ... &Kelly, P. (2018, May). High-resolution MRI (HR-MRI) of atherosclerotic plaquein symptomatic carotid stenosis–relationship with risk factors, treatment, andCT angiographic features. In ESOC 2018 4th European Stroke OrganisationConference, Gothenburg, Sweden, 16-18 May 2018.
  2. vanEngelen, A., De Bruijne, M., Schneider, T., van Dijk, A. C., Kooi, M. E.,Hendrikse, J., ... & Botnar, R. M. (2017, July). Evaluating Classifiers forAtherosclerotic Plaque Component Segmentation in MRI. In AnnualConference on Medical Image Understanding and Analysis (pp. 156-168).Springer, Cham.
  3. Gundert, T.J., Hayden, P., Migrino, R. Q., & LaDisa Jr, J. F. (2009, June).Visualization of CFD Results in a Virtual Reality Environment. In SummerBioengineering Conference (Vol. 48913, pp. 741-742). American Societyof Mechanical Engineers.
  4. Kahn, J.Atherosclerosis and Aging—Insights Into the Role of the Endothelial Glycocalyxin Cardiovascular Health.

 






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