Advances in imaging detection of carotid intraplaque hemorrhage

doi:10.11817/j.issn.1673-9248.2022.06.009

Abstract

Abstract:

Intraplaque hemorrhage (IPH) is one of the critical characteristics of vulnerable carotid plaques, which may predict the occurrence of stroke in patients with carotid atherosclerosis. Therefore, the identification and quantitative analysis of IPH have essential significance for stroke prevention. At present, the effect of various imaging examinations is still controversial, and the imaging detection strategy is defective. This article reviews the application progress of IPH imaging detection and the predictive effect of IPH detection on stroke, providing a reference for the construction of a stroke risk prediction model and further research of IPH.

Key words: Atherosclerosis, Carotid stenosis, Intraplaque hemorrhage, Diagnostic imaging

Xinwei Zhu, Junlin Li, Jianping Zhang, Jingang Bao, Rile Wu. Advances in imaging detection of carotid intraplaque hemorrhage[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2022, 16(06): 427-431.

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https://zhnxgbzz.cma-cmc.com.cn/EN/Y2022/V16/I06/427

References 36

1	Wang W, Jiang B, Sun H, et al. Prevalence, incidence, and mortality of stroke in China: results from a nationwide population-based survey of 480 687 adults [J]. Circulation, 2017, 135(8): 759-771.
2	Zhao X, Li R, Hippe DS, et al. Chinese Atherosclerosis Risk Evaluation (CARE Ⅱ) study: a novel cross-sectional, multicentre study of the prevalence of high-risk atherosclerotic carotid plaque in Chinese patients with ischaemic cerebrovascular events-design and rationale [J]. Stroke Vasc Neurol, 2017, 2(1): 15-20.
3	Zhu C, Tian X, Degnan AJ, et al. Clinical significance of intraplaque hemorrhage in low- and high-grade basilar artery stenosis on high-resolution MRI [J]. AJNR Amer J Neuroradiol, 2018, 39(7): 1286-1292.
4	Naghavi M, Libby P, Falk E, et al. From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part Ⅰ [J]. Circulation, 2003, 108(14): 1664-1672.
5	Michel JB, Virmani R, Arbustini E, et al. Intraplaque haemorrhages as the trigger of plaque vulnerability [J]. Eur Heart J, 2011, 32(16): 1977-1985.
6	Sluimer JC, Daemen MJ. Novel concepts in atherogenesis: angiogenesis and hypoxia in atherosclerosis [J]. J Pathol, 2009, 218(1): 7-29.
7	Saba L, Lanzino G, Lucatelli P, et al. Carotid plaque CTA analysis in symptomatic subjects with bilateral intraparenchymal hemorrhage: a preliminary analysis [J]. AJNR Amer J Neuroradiol, 2019, 40(9): 1538-1545.
8	Larson AS, Brinjikji W, Savastano L, et al. Carotid intraplaque hemorrhage and stenosis: at what stage of plaque progression does intraplaque hemorrhage occur, and when is it most likely to be associated with symptoms? [J]. AJNR Amer J Neuroradiol, 2021, 42(7): 1285-1290.
9	Schindler A, Schinner R, Altaf N, et al. Prediction of stroke risk by detection of hemorrhage in carotid plaques: meta-analysis of individual patient data [J]. JACC Cardiovasc Imaging, 2020, 13(2 Pt 1): 395-406.
10	Brinjikji W, Huston J, Rabinstein AA, et al. Contemporary carotid imaging: from degree of stenosis to plaque vulnerability [J]. J Neurosurg, 2016, 124(1): 27-42.
11	Ota H, Yarnykh VL, Ferguson MS, et al. Carotid intraplaque hemorrhage imaging at 3.0-T MR imaging: comparison of the diagnostic performance of three T1-weighted sequences [J]. Radiology, 2010, 254(2): 551-563.
12	Liu J, Balu N, Hippe DS, et al. Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection [J]. J Cardiovasc Magn Reson, 2016, 18(1): 41.
13	Motoyama R, Saito K, Tonomura S, et al. Utility of complementary magnetic resonance plaque imaging and contrast-enhanced ultrasound to detect carotid vulnerable plaques [J]. J Am Heart Assoc, 2019, 8(8): e011302.
14	Xiong Y, Zhang Z, He L, et al. Intracranial simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRA: Analyzation, optimization, and extension for dynamic MRA [J]. Magn Reson Med, 2019, 82(5): 1646-1659.
15	Li D, Zhao H, Chen X, et al. Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study [J]. Eur Radiol, 2018, 28(4): 1681-1686.
16	Li D, Qiao H, Han Y, et al. Histological validation of simultaneous non-contrast angiography and intraplaque hemorrhage imaging (SNAP) for characterizing carotid intraplaque hemorrhage [J]. Eur Radiol, 2021, 31(5): 3106-3115.
17	Liu J, Sun J, Balu N, et al. Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI [J]. J Magn Reson Imaging, 2019, 50(4): 1055-1062.
18	Cao X, Tang Y, Pan L, et al. Assessment of carotid atherosclerotic plaque using 3D motion-sensitized driven-equilibrium prepared rapid gradient echo: a comparative study [J]. Quant Imaging Med Surg, 2021, 11(6): 2744-2755.
19	Wei H, Zhang M, Li Y, et al. Evaluation of 3D multi-contrast carotid vessel wall MRI: a comparative study [J]. Quant Imaging Med Surg, 2020, 10(1): 269-282.
20	Qiao H, Li D, Cao J, et al. Quantitative evaluation of carotid atherosclerotic vulnerable plaques using in vivo T1 mapping cardiovascular magnetic resonance: validation by histology [J]. J Cardiovasc Magn Reson, 2020, 22(1): 38.
21	Azuma M, Maekawa K, Yamashita A, et al. Characterization of carotid plaque components by quantitative susceptibility mapping [J]. AJNR Am J Neuroradiol, 2020, 41(2): 310-317.
22	Ikebe Y, Ishimaru H, Imai H, et al. Quantitative susceptibility mapping for carotid atherosclerotic plaques: a pilot study [J]. Magn Reson Med Sci, 2020, 19(2): 135-140.
23	Sun J, Underhill HR, Hippe DS, Et al. Sustained acceleration in carotid atherosclerotic plaque progression with intraplaque hemorrhage: a long-term time course study [J]. JACC Cardiovasc Imaging, 2012, 5(8): 798-804.
24	Wang X, Sun J, Zhao X, et al. Ipsilateral plaques display higher T1 signals than contralateral plaques in recently symptomatic patients with bilateral carotid intraplaque hemorrhage [J]. Atherosclerosis, 2017, 257: 78-85.
25	Sheahan M, Ma X, Paik D, et al. Atherosclerotic plaque tissue: noninvasive quantitative assessment of characteristics with software-aided measurements from conventional CT angiography [J]. Radiology, 2018, 286(2): 622-631.
26	Saba L, Francone M, Bassareo PP, et al. CT attenuation analysis of carotid intraplaque hemorrhage [J]. AJNR Am J Neuroradiol, 2018, 39(1): 131-137.
27	Margaritis M, Sanna F, Lazaros G, Et Al. Predictive value of telomere length on outcome following acute myocardial infarction: evidence for contrasting effects of vascular vs. blood oxidative stress [J]. Eur Heart J, 2017, 38(41): 3094-3104.
28	CHistiakov DA, Orekhov AN, Bobryshev YV. Contribution of neovascularization and intraplaque haemorrhage to atherosclerotic plaque progression and instability [J]. Acta Physiol (Oxf), 2015, 213(3): 539-553.
29	Antoniades C, Antonopoulos AS, Deanfield J. Imaging residual inflammatory cardiovascular risk [J]. Eur Heart J, 2020, 41(6): 748-758.
30	Zhang S, Gu H, Yu X, et al. Association between carotid artery perivascular fat density and intraplaque hemorrhage [J]. Front Cardiovasc Med, 2021, 8: 735794.
31	Dilba K, Van Dam-Nolen DHK, Van Dijk AC, et al. Plaque composition as a predictor of plaque ulceration in carotid artery atherosclerosis: the plaque at RISK study [J]. AJNR Am J Neuroradiol, 2021, 42(1): 144-151.
32	Trandafir C, Laurent-Chabalier S, Cosma C, et al. Association of symptomatic atherosclerotic carotid arteries with plaque areas showing low densities on computed tomographic angiography [J]. Eur J Neurol, 2022, 29(4): 1056-1061.
33	Vesey AT, Jenkins WSA, Irkle A, et al. ¹⁸F-Fluoride and ¹⁸F-Fluorodeoxyglucose positron emission tomography after transient ischemic attack or minor ischemic stroke: case-control study [J]. Circ Cardiovasc Imaging, 2017, 10(3): e004976.
34	Kaczynski J, Sellers S, Seidman MA, et al. ¹⁸F-NaF PET/MRI for detection of carotid atheroma in acute neurovascular syndrome [J]. Radiology, 2022, 305(1): 137-148.
35	Spanos K, Tzorbatzoglou I, Lazari P, et al. Carotid artery plaque echomorphology and its association with histopathologic characteristics [J]. J Vasc Surg, 2018, 68(6): 1772-1780.
36	Czernuszewicz TJ, Homeister JW, Caughey MC, et al. Performance of acoustic radiation force impulse ultrasound imaging for carotid plaque characterization with histologic validation [J]. J Vasc Surg, 2017, 66(6): 1749-1757.e3.

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