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Correlation between Intravoxel Incoherent Motion Magnetic Resonance Imaging Derived Metrics and Serum Soluble CD40 Ligand Level in an Embolic Canine Stroke Model

  • Xu, Xiao-Quan (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Wu, Chen-Jiang (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Lu, Shan-Shan (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Gao, Qian-Qian (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Zu, Qing-Quan (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Liu, Xing-Long (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Shi, Hai-Bin (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University) ;
  • Liu, Sheng (Department of Radiology, The First Affiliated Hospital of Nanjing Medical University)
  • Received : 2016.12.07
  • Accepted : 2017.01.22
  • Published : 2017.10.01

Abstract

Objective: To determine the relationship between intravoxel incoherent motion (IVIM) imaging derived quantitative metrics and serum soluble CD40 ligand (sCD40L) level in an embolic canine stroke model. Materials and Methods: A middle cerebral artery occlusion model was established in 24 beagle dogs. Experimental dogs were divided into low- and high-sCD40L group according to serum sCD40L level at 4.5 hours after establishing the model. IVIM imaging was scanned at 4.5 hours after model establishment using 10 b values ranging from 0 to $900s/mm^2$. Quantitative metrics diffusion coefficient (D), pseudodiffusion coefficient ($D^*$), and perfusion fraction (f) of ischemic lesions were calculated. Quantitative metrics of ischemic lesions were normalized by contralateral hemisphere using the following formula: normalized $D=D_{stroke}/D_{contralateral}$. Differences in IVIM metrics between the low- and high-sCD40L groups were compared using t test. Pearson's correlation analyses were performed to determine the relationship between IVIM metrics and serum sCD40L level. Results: The high-sCD40L group showed significantly lower f and normalized f values than the low-sCD40L group (f, p < 0.001; normalized f, p < 0.001). There was no significant difference in $D^*$, normalized $D^*$, D, or normalized D value between the two groups (All p > 0.05). Both f and normalized f values were negatively correlated with serum sCD40L level (f, r = -0.789, p < 0.001; normalized f, r = -0.823, p < 0.001). However, serum sCD40L level had no significant correlation with $D^*$, normalized $D^*$, D, or normalized D (All p > 0.05). Conclusion: The f value derived from IVIM imaging was negatively correlated with serum sCD40L level. f value might serve as a potential imaging biomarker to assess the formation of microvascular thrombosis in hyperacute period of ischemic stroke.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

References

  1. Goyal M, Demchuk AM, Menon BK, Eesa M, Rempel JL, Thornton J, et al. Randomized assessment of rapid endovascular treatment of ischemic stroke. N Engl J Med 2015;372:1019-1030 https://doi.org/10.1056/NEJMoa1414905
  2. Hacke W, Kaste M, Bluhmki E, Brozman M, Davalos A, Guidetti D, et al. Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke. N Engl J Med 2008;359:1317-1329 https://doi.org/10.1056/NEJMoa0804656
  3. Campbell BC, Mitchell PJ, Kleinig TJ, Dewey HM, Churilov L, Yassi N, et al. Endovascular therapy for ischemic stroke with perfusion-imaging selection. N Engl J Med 2015;372:1009-1018 https://doi.org/10.1056/NEJMoa1414792
  4. Saver JL, Goyal M, Bonafe A, Diener HC, Levy EI, Pereira VM, et al. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N Engl J Med 2015;372:2285-2295 https://doi.org/10.1056/NEJMoa1415061
  5. Jovin TG, Chamorro A, Cobo E, de Miquel MA, Molina CA, Rovira A, et al. Thrombectomy within 8 hours after symptom onset in ischemic stroke. N Engl J Med 2015;372:2296-2306 https://doi.org/10.1056/NEJMoa1503780
  6. Berkhemer OA, Fransen PS, Beumer D, van den Berg LA, Lingsma HF, Yoo AJ, et al. A randomized trial of intraarterial treatment for acute ischemic stroke. N Engl J Med 2015;372:11-20 https://doi.org/10.1056/NEJMoa1411587
  7. Soares BP, Tong E, Hom J, Cheng SC, Bredno J, Boussel L, et al. Reperfusion is a more accurate predictor of follow-up infarct volume than recanalization: a proof of concept using CT in acute ischemic stroke patients. Stroke 2010;41:e34-e40 https://doi.org/10.1161/STROKEAHA.109.564955
  8. Desilles JP, Loyau S, Syvannarath V, Gonzalez-Valcarcel J, Cantier M, Louedec L, et al. Alteplase reduces downstream microvascular thrombosis and improves the benefit of large artery recanalization in stroke. Stroke 2015;46:3241-3248 https://doi.org/10.1161/STROKEAHA.115.010721
  9. Ishikawa M, Vowinkel T, Stokes KY, Arumugam TV, Yilmaz G, Nanda A, et al. CD40/CD40 ligand signaling in mouse cerebral microvasculature after focal ischemia/reperfusion. Circulation 2005;111:1690-1696 https://doi.org/10.1161/01.CIR.0000160349.42665.0C
  10. Ishikawa M, Cooper D, Arumugam TV, Zhang JH, Nanda A, Granger DN. Platelet-leukocyte-endothelial cell interactions after middle cerebral artery occlusion and reperfusion. J Cereb Blood Flow Metab 2004;24:907-915 https://doi.org/10.1097/01.WCB.0000132690.96836.7F
  11. Federau C, Maeder P, O'Brien K, Browaeys P, Meuli R, Hagmann P. Quantitative measurement of brain perfusion with intravoxel incoherent motion MR imaging. Radiology 2012;265:874-881 https://doi.org/10.1148/radiol.12120584
  12. Federau C, Sumer S, Becce F, Maeder P, O'Brien K, Meuli R, et al. Intravoxel incoherent motion perfusion imaging in acute stroke: initial clinical experience. Neuroradiology 2014;56:629-635 https://doi.org/10.1007/s00234-014-1370-y
  13. Federau C, O'Brien K, Meuli R, Hagmann P, Maeder P. Measuring brain perfusion with intravoxel incoherent motion (IVIM): initial clinical experience. J Magn Reson Imaging 2014;39:624-632 https://doi.org/10.1002/jmri.24195
  14. Hu LB, Hong N, Zhu WZ. Quantitative measurement of cerebral perfusion with intravoxel incoherent motion in acute ischemia stroke: initial clinical experience. Chin Med J (Engl) 2015;128:2565-2569 https://doi.org/10.4103/0366-6999.166033
  15. Yao Y, Zhang S, Tang X, Zhang S, Shi J, Zhu W, et al. Intravoxel incoherent motion diffusion-weighted imaging in stroke patients: initial clinical experience. Clin Radiol 2016;71:938.e11-e16 https://doi.org/10.1016/j.crad.2016.04.019
  16. Suo S, Cao M, Zhu W, Li L, Li J, Shen F, et al. Stroke assessment with intravoxel incoherent motion diffusionweighted MRI. NMR Biomed 2016;29:320-328 https://doi.org/10.1002/nbm.3467
  17. Liu S, Hu WX, Zu QQ, Lu SS, Xu XQ, Sun L, et al. A novel embolic stroke model resembling lacunar infarction following proximal middle cerebral artery occlusion in beagle dogs. J Neurosci Methods 2012;209:90-96 https://doi.org/10.1016/j.jneumeth.2012.06.009
  18. Xu XQ, Zu QQ, Lu SS, Cheng QG, Yu J, Sheng Y, et al. Use of FLAIR imaging to identify onset time of cerebral ischemia in a canine model. AJNR Am J Neuroradiol 2014;35:311-316 https://doi.org/10.3174/ajnr.A3689
  19. Xu XQ, Su GY, Liu J, Hu H, Hong XN, Shi HB, et al. Intravoxel incoherent motion MR imaging measurements of the bilateral parotid glands at 3.0-T MR: effect of age, gender and laterality in healthy adults. Br J Radiol 2015;88:20150646 https://doi.org/10.1259/bjr.20150646
  20. Kim DY, Kim HS, Goh MJ, Choi CG, Kim SJ. Utility of intravoxel incoherent motion MR imaging for distinguishing recurrent metastatic tumor from treatment effect following gamma knife radiosurgery: initial experience. AJNR Am J Neuroradiol 2014;35:2082-2090 https://doi.org/10.3174/ajnr.A3995
  21. Xu XQ, Choi YJ, Sung YS, Yoon RG, Jang SW, Park JE, et al. Intravoxel incoherent motion MR imaging in the head and neck: correlation with dynamic contrast-enhanced MR imaging and diffusion-weighted imaging. Korean J Radiol 2016;17:641-649 https://doi.org/10.3348/kjr.2016.17.5.641
  22. Bisdas S, Braun C, Skardelly M, Schittenhelm J, Teo TH, Thng CH, et al. Correlative assessment of tumor microcirculation using contrast-enhanced perfusion MRI and intravoxel incoherent motion diffusion-weighted MRI: is there a link between them? NMR Biomed 2014;27:1184-1191 https://doi.org/10.1002/nbm.3172
  23. Suh CH, Kim HS, Lee SS, Kim N, Yoon HM, Choi CG, et al. Atypical imaging features of primary central nervous system lymphoma that mimics glioblastoma: utility of intravoxel incoherent motion MR imaging. Radiology 2014;272:504-513 https://doi.org/10.1148/radiol.14131895
  24. Iima M, Reynaud O, Tsurugizawa T, Ciobanu L, Li JR, Geffroy F, et al. Characterization of glioma microcirculation and tissue features using intravoxel incoherent motion magnetic resonance imaging in a rat brain model. Invest Radiol 2014;49:485-490 https://doi.org/10.1097/RLI.0000000000000040
  25. Andreou A, Koh DM, Collins DJ, Blackledge M, Wallace T, Leach MO, et al. Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases. Eur Radiol 2013;23:428-434 https://doi.org/10.1007/s00330-012-2604-1
  26. Federau C, Hagmann P, Maeder P, Muller M, Meuli R, Stuber M, et al. Dependence of brain intravoxel incoherent motion perfusion parameters on the cardiac cycle. PLoS One 2013;8:e72856 https://doi.org/10.1371/journal.pone.0072856
  27. Wu WC, Chen YF, Tseng HM, Yang SC, My PC. Caveat of measuring perfusion indexes using intravoxel incoherent motion magnetic resonance imaging in the human brain. Eur Radiol 2015;25:2485-2492 https://doi.org/10.1007/s00330-015-3655-x