Carotid Intraplaque-Hemorrhage Volume and Its Association with Cerebrovascular Events

References

1. 1.↵
   2. Saba L,
   3. Yuan C,
   4. Hatsukami TS, et al

   . Carotid artery wall imaging: perspective and guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2018;39:E9–31 doi:10.3174/ajnr.A5488 pmid:29326139

   Abstract/FREE Full Text
2. 2.↵
   2. Lu M,
   3. Peng P,
   4. Cui Y, et al

   . Association of progression of carotid artery wall volume and recurrent transient ischemic attack or stroke: a magnetic resonance imaging study. Stroke 2018;49:614–20 doi:10.1161/STROKEAHA.117.019422 pmid:29382804

   Abstract/FREE Full Text
3. 3.↵
   2. Saba L,
   3. Saam T,
   4. Jäger HR, et al

   . Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. Lancet Neurol 2019;18:559–72 doi:10.1016/S1474-4422(19)30035-3 pmid:30954372

   CrossRefPubMed
4. 4.↵
   2. Hellings WE,
   3. Peeters W,
   4. Moll FL, et al

   . Composition of carotid atherosclerotic plaque is associated with cardiovascular outcome: a prognostic study. Circulation 2010;121:1941–50 doi:10.1161/CIRCULATIONAHA.109.887497 pmid:20404256

   Abstract/FREE Full Text
5. 5.↵
   2. Altaf N,
   3. MacSweeney ST,
   4. Gladman J, et al

   . Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis. Stroke 2007;38:1633 doi:10.1161/STROKEAHA.106.473066

   Abstract/FREE Full Text
6. 6.↵
   2. Turc G,
   3. Oppenheim C,
   4. Naggara O

   , HIRISC study investigators, , et al. Relationships between recent intraplaque hemorrhage and stroke risk factors in patients with carotid stenosis. Arterioscler Thromb Vasc Biol 2012;32:492–99 doi:10.1161/ATVBAHA.111.239335 pmid:22075251

   Abstract/FREE Full Text
7. 7.↵
   2. Parmar JP,
   3. Rogers WJ,
   4. Mugler JP 3rd., et al

   . Magnetic resonance imaging of carotid atherosclerotic plaque in clinically suspected acute transient ischemic attack and acute ischemic stroke. Circulation 2010;122:2031–38 doi:10.1161/CIRCULATIONAHA.109.866053 pmid:21041694

   Abstract/FREE Full Text
8. 8.↵
   2. Demarco JK,
   3. Ota H,
   4. Underhill HR, et al

   . MR carotid plaque imaging and contrast-enhanced MR angiography identifies lesions associated with recent ipsilateral thromboembolic symptoms: an in vivo study at 3T. AJNR Am J Neuroradiol 2010;31:1395–402 doi:10.3174/ajnr.A2213 pmid:20651015

   Abstract/FREE Full Text
9. 9.↵
   2. Horie N,
   3. Morikawa M,
   4. Ishizaka S, et al

   . Assessment of carotid plaque stability based on the dynamic enhancement pattern in plaque components with multidetector CT angiography. Stroke 2012;43:393-98 doi:10.1161/STROKEAHA.111.635953 pmid:22096033

   Abstract/FREE Full Text
10. 10.↵
    2. Saba L,
    3. Francone M,
    4. Bassareo PP, et al

    . CT attenuation analysis of carotid intraplaque hemorrhage. AJNR Am J Neuroradiol 2018;39:131–37 doi:10.3174/ajnr.A5461 pmid:29191874

    Abstract/FREE Full Text
11. 11.↵
    2. Cheng J,
    3. Chen Y,
    4. Yu Y, et al

    . Carotid plaque segmentation from three-dimensional ultrasound images by direct three-dimensional sparse field level-set optimization. Comput Biol Med 2018;94:27–40 doi:10.1016/j.compbiomed.2018.01.002 pmid:29407996

    CrossRefPubMed
12. 12.↵
    2. Ball S,
    3. Rogers S,
    4. Kanesalingam K, et al

    . Carotid plaque volume in patients undergoing carotid endarterectomy. Br J Surg 2018;105:262–69 doi:10.1002/bjs.10670 pmid:29315509

    CrossRefPubMed
13. 13.↵
    2. Spence JD

    . Approaching automated 3-dimensional measurement of atherosclerotic plaque volume. J Am Coll Cardiol 2017;70:314–17 doi:10.1016/j.jacc.2017.05.036 pmid:28705311

    FREE Full Text
14. 14.↵
    2. Saba L,
    3. Raz E,
    4. Anzidei M, et al

    . Differences in plaque morphology and correlation of stenosis at the carotid artery bifurcation and the carotid siphon. AJR Am J Roentgenol 2013;201:1108–14 doi:10.2214/AJR.12.10213 pmid:24147484

    CrossRefPubMed
15. 15.↵
    2. Touboul PJ,
    3. Hennerici MG,
    4. Meairs S, et al

    . Mannheim carotid intima-media thickness and plaque consensus (2004-2006-2011): an update on behalf of the advisory board of the 3rd, 4th and 5th watching the risk symposia, at the 13th, 15th and 20th European Stroke Conferences, Mannheim, Germany, 2004, Brussels, Belgium, 2006, and Hamburg, Germany, 2011. Cerebrovasc Dis 2004;34:290–96 pmid:23128470

    PubMed
16. 16.↵
    2. Saba L,
    3. Sanfilippo R,
    4. Montisci R, et al

    . Agreement between multidetector-row CT angiography and ultrasound echo-color Doppler in the evaluation of carotid artery stenosis. Cerebrovasc Dis 2008;26:525–32 doi:10.1159/000160209 pmid:18836263

    CrossRefPubMed
17. 17.↵
    2. Saba L,
    3. Sanfilippo R,
    4. Pascalis L, et al

    . Carotid artery wall thickness and ischemic symptoms: evaluation using multi-detector-row CT angiography. Eur Radiology 2008;18:1962–71 doi:10.1007/s00330-008-0962-5 pmid:18404269

    CrossRefPubMed
18. 18.↵
    2. Alexandrov AV,
    3. Bladin CF,
    4. Maggisano R, et al

    . Measuring carotid stenosis: time for a reappraisal. Stroke 1993;24:1292–96 doi:10.1161/01.STR.24.9.1292 pmid:8362420

    Abstract/FREE Full Text
19. 19.↵
    2. de Paiva Bezerra R,
    3. de Miranda Alves MA,
    4. Conforto AB, et al

    . Etiological classification of stroke in patients with Chagas Disease using TOAST, Causative Classification System TOAST, and ASCOD phenotyping. J Stroke Cerebrovasc Dis 2017;26:2864–69 doi:10.1016/j.jstrokecerebrovasdis.2017.07.007 pmid:28844546

    CrossRefPubMed
20. 20.↵
    2. Xin XY,
    3. Cheng L,
    4. Yang Z, et al

    . Comparison study of ASCO and TOAST classification system in Chinese minor stroke patients. Cerebrovasc Dis 2019;47:95–100 doi:10.1159/000497478 pmid:30921793

    CrossRefPubMed
21. 21.↵
    2. Saba L,
    3. Mallarin G

    . Window settings for the study of calcified carotid plaques with multidetector CT angiography. AJNR Am J Neuroradiol 2009;30:1445–50 doi:10.3174/ajnr.A1509 pmid:19299487

    Abstract/FREE Full Text
22. 22.↵
    2. Rozie S,
    3. de Weert TT,
    4. de Monyé C, et al

    . Atherosclerotic plaque volume and composition in symptomatic carotid arteries assessed with multidetector CT angiography; relationship with severity of stenosis and cardiovascular risk factors. Eur Radiology 2009;19:2294–301 doi:10.1007/s00330-009-1394-6 pmid:19384548

    CrossRefPubMed
23. 23.↵
    2. Sheahan M,
    3. Ma X,
    4. Paik D, et al

    . Atherosclerotic plaque tissue: noninvasive quantitative assessment of characteristics with software-aided measurements from conventional CT angiography. Radiology 2018;286:622–31 doi:10.1148/radiol.2017170127 pmid:28858564

    CrossRefPubMed
24. 24.↵
    2. de Weert TT,
    3. de Monyé C,
    4. Meijering E, et al

    . Assessment of atherosclerotic carotid plaque volume with multidetector computed tomography angiography. Int J Cardiovasc Imaging 2008;24:751–59 doi:10.1007/s10554-008-9309-1 pmid:18373211

    CrossRefPubMed
25. 25.↵
    2. Baroncini LA,
    3. Filho AP,
    4. Ramos SG, et al

    . Histological composition and progression of carotid plaque. Thromb J 2007;5:4 doi:10.1186/1477-9560-5-4 pmid:17324272

    CrossRefPubMed
26. 26.↵
    2. Carr S,
    3. Farb A,
    4. Pearce WH, et al

    . Atherosclerotic plaque rupture in symptomatic carotid artery stenosis. J Vasc Surg 1996;23:755–65 doi:10.1016/S0741-5214(96)70237-9 pmid:8667496

    CrossRefPubMedWeb of Science
27. 27.↵
    2. Miralles M,
    3. Arrébola M,
    4. Bruguer S, et al

    . Volumetric assessment of the carotid bifurcation: an alternative concept to stenosis grading. Ann Vasc Surg 2015;29:411–18 doi:10.1016/j.avsg.2014.11.005 pmid:25591486

    CrossRefPubMed
28. 28.↵
    2. Saba L,
    3. Raz E,
    4. di Martino M, et al

    . Is there an association between asymmetry of carotid artery wall thickness (ACAWT) and cerebrovascular symptoms? Int J Neurosci 2015;125:456–63 doi:10.3109/00207454.2014.948116 pmid:25057761

    CrossRefPubMed
29. 29.↵
    2. Zhu G,
    3. Li Y,
    4. Ding V, et al

    . Semiautomated characterization of carotid artery plaque features from computed tomography angiography to predict atherosclerotic cardiovascular disease risk score. J Comput Assist Tomogr 2019 May 6 [Epub ahead of print] doi:10.1097/RCT.0000000000000862 pmid:31082978

    CrossRefPubMed
30. 30.↵
    2. Chrencik MT,
    3. Khan AA,
    4. Luther L, et al

    . Quantitative assessment of carotid plaque morphology (geometry and tissue composition) using computed tomography angiography. J Vasc Surg 2019 Mar 5. [Epub ahead of print] doi:10.1016/j.jvs.2018.11.050 pmid:30850296

    CrossRefPubMed
31. 31.↵
    2. Ajduk M,
    3. Pavić L,
    4. Bulimbasić S, et al

    . Multidetector-row computed tomography in evaluation of atherosclerotic carotid plaques complicated with intraplaque hemorrhage. Ann Vasc Surg 2009;23:186–93 doi:10.1016/j.avsg.2008.05.008 pmid:18657388

    CrossRefPubMed
32. 32.↵
    2. Liu Y,
    3. Wang M,
    4. Zhang B, et al

    . Size of carotid artery intraplaque hemorrhage and acute ischemic stroke: a cardiovascular magnetic resonance Chinese atherosclerosis risk evaluation study. J Cardiovasc Magn Reson 2019;21:36
33. 33.↵
    2. Nandalur KR,
    3. Baskurt E,
    4. Hagspiel KD, et al

    . Calcified carotid atherosclerotic plaque is associated less with ischemic symptoms than is noncalcified plaque on MDCT. AJR Am J Roentgenol 2005;184:295–28 doi:10.2214/ajr.184.1.01840295 pmid:15615991

    CrossRefPubMedWeb of Science
34. 34.↵
    2. Bentzon JF,
    3. Otsuka F,
    4. Virmani R, et al

    . Mechanisms of plaque formation and rupture. Circ Res 2014;114:1852–66 doi:10.1161/CIRCRESAHA.114.302721 pmid:24902970

    Abstract/FREE Full Text