[1]
|
Offenbacher, H., Fazekas, F., Schmidt, R., et al. (1996) MR of Cerebral Abnormalities Concomitant with Primary Intracerebral Hematomas. American Journal of Neuroradiology, 17, 573-578.
|
[2]
|
Schwarz, G., Banerjee, G., Hostettler, I.C., Ambler, G., Seiffge, D.J., Ozkan, H., et al. (2022) MRI and CT Imaging Biomarkers of Cerebral Amyloid Angiopathy in Lobar Intracerebral Hemorrhage. International Journal of Stroke, 18, 85-94. https://doi.org/10.1177/17474930211062478
|
[3]
|
Wach-Klink, A., Iżycka-Świeszewska, E., Kozera, G. and Sobolewski, P. (2021) Cerebral Microbleeds in Neurological Practice: Concepts, Diagnostics and Clinical Aspects. Neurologia i Neurochirurgia Polska, 55, 450-461. https://doi.org/10.5603/pjnns.a2021.0058
|
[4]
|
Haller, S., Scheffler, M., Salomir, R., Herrmann, F.R., Gold, G., Montandon, M., et al. (2019) MRI Detection of Cerebral Microbleeds: Size Matters. Neuroradiology, 61, 1209-1213. https://doi.org/10.1007/s00234-019-02267-0
|
[5]
|
Weerink, L.B., Appelman, A.P., Kloet, R.W. and Van der Hoorn, A. (2023) Susceptibility-weighted Imaging in Intracranial Hemorrhage: Not All Bleeds Are Black. The British Journal of Radiology, 96, Article ID: 20220304. https://doi.org/10.1259/bjr.20220304
|
[6]
|
Puy, L., Pasi, M., Rodrigues, M., van Veluw, S.J., Tsivgoulis, G., Shoamanesh, A., et al. (2021) Cerebral Microbleeds: From Depiction to Interpretation. Journal of Neurology, Neurosurgery & Psychiatry, 92, 598-607. https://doi.org/10.1136/jnnp-2020-323951
|
[7]
|
Luo, Q., Tang, H., Xu, X., Huang, J., Wang, P., He, G., et al. (2021) The Prevalence and Risk Factors of Cerebral Microbleeds: A Community-Based Study in China. Therapeutics and Clinical Risk Management, 17, 165-171. https://doi.org/10.2147/tcrm.s297708
|
[8]
|
Lu, D., Liu, J., MacKinnon, A.D., Tozer, D.J. and Markus, H.S. (2021) Prevalence and Risk Factors of Cerebral Microbleeds. Neurology, 97, e1493-e1502. https://doi.org/10.1212/wnl.0000000000012673
|
[9]
|
Liang, C., Wang, J., Feng, M., Zhang, N. and Guo, L. (2022) White Matter Changes, Duration of Hypertension, and Age Are Associated with Cerebral Microbleeds in Patients with Different Stages of Hypertension. Quantitative Imaging in Medicine and Surgery, 12, 119-130. https://doi.org/10.21037/qims-21-28
|
[10]
|
An, S.J., Kim, T.J. and Yoon, B. (2017) Epidemiology, Risk Factors, and Clinical Features of Intracerebral Hemorrhage: An Update. Journal of Stroke, 19, 3-10. https://doi.org/10.5853/jos.2016.00864
|
[11]
|
Perini, G., Ramusino, M.C., Farina, L.M., Fabbro, B.D., Canavero, I., Picascia, M., et al. (2023) Cognitive versus Hemorrhagic Onset in Cerebral Amyloid Angiopathy: Neuroimaging Features. Current Alzheimer Research, 20, 267-276. https://doi.org/10.2174/1567205020666230713151211
|
[12]
|
Thorn, L.M., Shams, S., Gordin, D., Liebkind, R., Forsblom, C., Summanen, P., et al. (2018) Clinical and MRI Features of Cerebral Small-Vessel Disease in Type 1 Diabetes. Diabetes Care, 42, 327-330. https://doi.org/10.2337/dc18-1302
|
[13]
|
Napolitano, A., Arrigoni, A., Caroli, A., Cava, M., Remuzzi, A., Longhi, L.G., et al. (2022) Cerebral Microbleeds Assessment and Quantification in COVID-19 Patients with Neurological Manifestations. Frontiers in Neurology, 13, Article 884449. https://doi.org/10.3389/fneur.2022.884449
|
[14]
|
Sparks, M.A., South, A.M., Badley, A.D., Baker-Smith, C.M., Batlle, D., Bozkurt, B., et al. (2020) Severe Acute Respiratory Syndrome Coronavirus 2, COVID-19, and the Renin-Angiotensin System. Hypertension, 76, 1350-1367. https://doi.org/10.1161/hypertensionaha.120.15948
|
[15]
|
Ji, Y., Li, X., Teng, Z., Li, X., Jin, W. and Lv, P.Y. (2020) Homocysteine Is Associated with the Development of Cerebral Small Vessel Disease: Retrospective Analyses from Neuroimaging and Cognitive Outcomes. Journal of Stroke and Cerebrovascular Diseases, 29, Article ID: 105393. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105393
|
[16]
|
Wang, B., Ou, Z., Jiang, T., Zhang, Y., Zhao, H., Tian, Y., et al. (2016) Independent Correlation of Serum Homocysteine with Cerebral Microbleeds in Patients with Acute Ischemic Stroke Due to Large-Artery Atherosclerosis. Journal of Stroke and Cerebrovascular Diseases, 25, 2746-2751. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.07.028
|
[17]
|
Jiang, L., Cai, X., Yao, D., Jing, J., Mei, L., Yang, Y., et al. (2022) Association of Inflammatory Markers with Cerebral Small Vessel Disease in Community-Based Population. Journal of Neuroinflammation, 19, Article No. 106. https://doi.org/10.1186/s12974-022-02468-0
|
[18]
|
Rouhl, R.P.W., Damoiseaux, J.G.M.C., Lodder, J., Theunissen, R.O.M.F.I.H., Knottnerus, I.L.H., Staals, J., et al. (2012) Vascular inflammation in cerebral small vessel disease. Neurobiology of Aging, 33, 1800-1806. https://doi.org/10.1016/j.neurobiolaging.2011.04.008
|
[19]
|
Ge, L., Niu, G., Han, X., Gao, Y., Wu, Q., Wu, H., et al. (2011) Aspirin Treatment Increases the Risk of Cerebral Microbleeds. Canadian Journal of Neurological Sciences, 38, 863-868. https://doi.org/10.1017/s0317167100012440
|
[20]
|
Ge, L., Ouyang, X., Ban, C., Yu, H., Wu, Q., Wu, H., et al. (2019) Cerebral Microbleeds in Patients with Ischemic Cerebrovascular Disease Taking Aspirin or Clopidogrel. Medicine, 98, e14685. https://doi.org/10.1097/md.0000000000014685
|
[21]
|
Van Belle, E., Debry, N., Vincent, F., Kuchcinski, G., Cordonnier, C., Rauch, A., et al. (2022) Cerebral Microbleeds during Transcatheter Aortic Valve Replacement: A Prospective Magnetic Resonance Imaging Cohort. Circulation, 146, 383-397. https://doi.org/10.1161/circulationaha.121.057145
|
[22]
|
Tipirneni, S., Stanwell, P., Weissert, R. and Bhaskar, S.M.M. (2023) Prevalence and Impact of Cerebral Microbleeds on Clinical and Safety Outcomes in Acute Ischaemic Stroke Patients Receiving Reperfusion Therapy: A Systematic Review and Meta-Analysis. Biomedicines, 11, Article 2865. https://doi.org/10.3390/biomedicines11102865
|
[23]
|
Minhas, A.S. and Oliver, R. (2022) Magnetic Resonance Imaging Basics. Advances in Experimental Medicine and Biology, 1380, 47-82. https://doi.org/10.1007/978-3-031-03873-0_3
|
[24]
|
Raposo, N. and Viswanathan, A. (2020) MRI-Visible Enlarged Perivascular Spaces. Neurology, 95, 709-710. https://doi.org/10.1212/wnl.0000000000010790
|
[25]
|
Zivadinov, R., Ramasamy, D.P., Benedict, R.R.H., Polak, P., Hagemeier, J., Magnano, C., et al. (2016) Cerebral Microbleeds in Multiple Sclerosis Evaluated on Susceptibility-Weighted Images and Quantitative Susceptibility Maps: A Case-Control Study. Radiology, 281, 884-895. https://doi.org/10.1148/radiol.2016160060
|
[26]
|
Luijten, S.P.R., van der Ende, N.A.M., Cornelissen, S.A.P., Kluijtmans, L., van Hattem, A., Lycklama a Nijeholt, G., et al. (2023) Comparison of Diffusion Weighted Imaging B0 with T2-Weighted Gradient Echo or Susceptibility Weighted Imaging for Intracranial Hemorrhage Detection after Reperfusion Therapy for Ischemic Stroke. Neuroradiology, 65, 1649-1655. https://doi.org/10.1007/s00234-023-03180-3
|
[27]
|
Martínez Camblor, L., Peña Suárez, J.M., Martínez-Cachero García, M., Santamarta Liébana, E., Rodríguez Castro, J. and Saiz Ayala, A. (2023) Cerebral Microbleeds. Utility of SWI Sequences. Radiología (English Edition), 65, 362-375. https://doi.org/10.1016/j.rxeng.2022.12.006
|
[28]
|
于海霞, 葛丽红, 牛广明. SWI、3D-ASL在急性缺血性脑卒中诊疗中的研究进展[J]. 内蒙古医科大学学报, 2019, 41(2): 199-202, 206. https://doi.org/10.16343/j.cnki.issn.2095-512x.2019.02.027
|
[29]
|
Martín-Noguerol, T., Montesinos, P., Casado-Verdugo, O.L., Beltrán, L.S. and Luna, A. (2021) Susceptibility Weighted Imaging for Evaluation of Musculoskeletal Lesions. European Journal of Radiology, 138, Article ID: 109611. https://doi.org/10.1016/j.ejrad.2021.109611
|
[30]
|
Haller, S., Haacke, E.M., Thurnher, M.M. and Barkhof, F. (2021) Susceptibility-Weighted Imaging: Technical Essentials and Clinical Neurologic Applications. Radiology, 299, 3-26. https://doi.org/10.1148/radiol.2021203071
|
[31]
|
Cheng, A., Batool, S., McCreary, C.R., Lauzon, M.L., Frayne, R., Goyal, M., et al. (2013) Susceptibility-weighted Imaging Is More Reliable than T2*-Weighted Gradient-Recalled Echo MRI for Detecting Microbleeds. Stroke, 44, 2782-2786. https://doi.org/10.1161/strokeaha.113.002267
|
[32]
|
严小兰, 刘红翠. 不同序列磁共振加权成像对高血压脑出血患者的早期诊断价值比较[J]. 影像科学与光化学, 2020, 38(6): 1014-1017.
|
[33]
|
Ruetten, P.P.R., Gillard, J.H. and Graves, M.J. (2019) Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging. The British Journal of Radiology, 92, Article ID: 20181016. https://doi.org/10.1259/bjr.20181016
|
[34]
|
Dimov, A.V., Li, J., Nguyen, T.D., Roberts, A.G., Spincemaille, P., Straub, S., et al. (2023) QSM throughout the Body. Journal of Magnetic Resonance Imaging, 57, 1621-1640. https://doi.org/10.1002/jmri.28624
|
[35]
|
Biondetti, E., Cho, J. and Lee, H. (2023) Cerebral Oxygen Metabolism from MRI Susceptibility. NeuroImage, 276, Article ID: 120189. https://doi.org/10.1016/j.neuroimage.2023.120189
|
[36]
|
倪民桦, 颜林枫, 崔光彬. 定量磁化率图在脑微出血中的研究进展[J]. 国际医学放射学杂志, 2022, 45(3): 303-306. https://doi.org/10.19300/j.2022.Z19401
|
[37]
|
Li, K.R., Avecillas‐Chasin, J., Nguyen, T.D., Gillen, K.M., Dimov, A., Chang, E., et al. (2021) Quantitative Evaluation of Brain Iron Accumulation in Different Stages of Parkinson’s Disease. Journal of Neuroimaging, 32, 363-371. https://doi.org/10.1111/jon.12957
|
[38]
|
Lee, K., Ellison, B., Selim, M., Long, N.H., Filippidis, A., Thomas, A.J., et al. (2022) Quantitative Susceptibility Mapping Improves Cerebral Microbleed Detection Relative to Susceptibility‐Weighted Images. Journal of Neuroimaging, 33, 138-146. https://doi.org/10.1111/jon.13054
|