Welcome to Francis Academic Press

Frontiers in Medical Science Research, 2022, 4(13); doi: 10.25236/FMSR.2022.041303.

The imaging principle of IVIM and its value in the diagnosis and treatment of ischemic stroke

Author(s)

Lingbo Zhang1,2, Jiancheng Wang2

Corresponding Author:
Jiancheng Wang
Affiliation(s)

1Yangtze University Health Science Center, Jingzhou, China

2The Second People's Hospital of Jingzhou, Jingzhou, China

Abstract

Ischemic stroke (IS) is the most common cerebrovascular disease in clinical practice, with high morbidity, high mortality and high disability rate. It is the leading cause of death and disability among Chinese adults. Intravoxel incoherent motion (IVIM) enables simultaneous acquisition of tissue diffusion and perfusion information in a single scan. In 1988, Le Bihan first proposed the concept of IVIM. With the emergence of high-field MR and the improvement of computer post-processing speed,IVIM imaging technology has gradually developed and matured, and has been widely used in the diagnosis of various systemic diseases, especially in the application of IS.This article aims to review the imaging principle of IVIM and the value of IVIM in the diagnosis and treatment of ischemic stroke, and discuss the clinical application value and research prospect of IVIM in IS.

Keywords

Ischemic stroke, Intravoxel incoherent motion, Magnetic resonance imaging

Cite This Paper

Lingbo Zhang, Jiancheng Wang. The imaging principle of IVIM and its value in the diagnosis and treatment of ischemic stroke. Frontiers in Medical Science Research (2022) Vol. 4, Issue 13: 12-18. https://doi.org/10.25236/FMSR.2022.041303.


References

[1] KATAN M, LUFT A. Global Burden of Stroke [J]. Semin Neurol, 2018, 38(2): 208-11.

[2] FEIGIN V L, NORRVING B, MENSAH G A. Global Burden of Stroke [J]. Circulation research, 2017, 120(3): 439-48.

[3] FEIGIN V L. Stroke epidemiology in the developing world [J]. Lancet (London, England), 2005, 365(9478): 2160-1.

[4] LIU M, WU B, WANG W Z, et al. Stroke in China: epidemiology, prevention, and management strategies [J]. The Lancet Neurology, 2007, 6(5): 456-64.

[5] WANG Y J, LI Z X, GU H Q, et al. China Stroke Statistics: an update on the 2019 report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations [J]. Stroke and vascular neurology, 2022.

[6] 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): 759-71.

[7] NAEL K, YOO B, SALAMON N, et al. Acute Ischemic Stroke: MR Imaging-Based Paradigms [J]. Neuroimaging clinics of North America, 2021, 31(2): 177-92.

[8] ZHU G, FEDERAU C, WINTERMARK M, et al. Comparison of MRI IVIM and MR perfusion imaging in acute ischemic stroke due to large vessel occlusion [J]. Int J Stroke, 2020, 15(3): 332-42.

[9] HANKEY G J. Stroke [J]. Lancet (London, England), 2017, 389(10069): 641-54.

[10] LANZMAN B, HEIT J J. Advanced MRI Measures of Cerebral Perfusion and Their Clinical Applications [J]. Top Magn Reson Imaging, 2017, 26(2): 83-90.

[11] YAO Y, ZHANG S, TANG X, et al. Intravoxel incoherent motion diffusion-weighted imaging in stroke patients: initial clinical experience [J]. Clinical radiology, 2016, 71(9): 938.e11-6.

[12] LEE K H, CHO S J, BYUN H S, et al. Triphasic perfusion computed tomography in acute middle cerebral artery stroke: a correlation with angiographic findings [J]. Archives of neurology, 2000, 57(7): 990-9.

[13] KIM S J, NOH H J, YOON C W, et al. Multiphasic perfusion computed tomography as a predictor of collateral flow in acute ischemic stroke: comparison with digital subtraction angiography [J]. European neurology, 2012, 67(4): 252-5.

[14] CHRISTENSEN S, CALAMANTE F, HJORT N, et al. Inferring origin of vascular supply from tracer arrival timing patterns using bolus tracking MRI [J]. J Magn Reson Imaging, 2008, 27(6): 1371-81.

[15] LE BIHAN D. What can we see with IVIM MRI? [J]. NeuroImage, 2019, 187: 56-67.

[16] HU P, ZHANG S, ZHOU Z. The value of bi-exponential and non-Gaussian distribution diffusion-weighted imaging in the differentiation of recurrent soft tissue neoplasms and post-surgical changes [J]. Annals of translational medicine, 2020, 8(21): 1357.

[17] LI J, LIANG L, YU H, et al. Whole-tumor histogram analysis of non-Gaussian distribution DWI parameters to differentiation of pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas [J]. Magnetic resonance imaging, 2019, 55: 52-9.

[18] HORI M, FUKUNAGA I, MASUTANI Y, et al. Visualizing non-Gaussian diffusion: clinical application of q-space imaging and diffusional kurtosis imaging of the brain and spine [J]. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2012, 11(4): 221-33.

[19] HU Y C, YAN L F, HAN Y, et al. Can the low and high b-value distribution influence the pseudodiffusion parameter derived from IVIM DWI in normal brain? [J]. BMC medical imaging, 2020, 20(1): 14.

[20] LE BIHAN D, TURNER R. The capillary network: a link between IVIM and classical perfusion [J]. Magnetic resonance in medicine, 1992, 27(1): 171-8.

[21] CONKLIN J, HEYN C, ROUX M, et al. A Simplified Model for Intravoxel Incoherent Motion Perfusion Imaging of the Brain [J]. AJNR American journal of neuroradiology, 2016, 37(12): 2251-7.

[22] ZHU G, HEIT J J, MARTIN B W, et al. Optimized Combination of b‑values for IVIM Perfusion Imaging in Acute Ischemic Stroke Patients [J]. Clin Neuroradiol, 2020, 30(3): 535-44.

[23] JANG M, JIN S, KANG M, et al. Pattern recognition analysis of directional intravoxel incoherent motion MRI in ischemic rodent brains [J]. NMR in biomedicine, 2020, 33(5): e4268.

[24] MAXIMOV, II, VELLMER S. Isotropically weighted intravoxel incoherent motion brain imaging at 7T [J]. Magnetic resonance imaging, 2019, 57: 124-32.

[25] SPINNER G R, FEDERAU C, KOZERKE S. Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke [J]. Medical image analysis, 2021, 73: 102144.

[26] HUANG B, YANG F, YIN M, et al. A Review of Multimodal Medical Image Fusion Techniques [J]. Computational and mathematical methods in medicine, 2020, 2020: 8279342.

[27] TRUONG T K, SONG A W. Cortical depth dependence and implications on the neuronal specificity of the functional apparent diffusion coefficient contrast [J]. NeuroImage, 2009, 47(1): 65-8.

[28] CHAN S W, HU W H, OUYANG Y C, et al. Quantitative Measurement of Breast Tumors Using Intravoxel Incoherent Motion (IVIM) MR Images [J]. Journal of personalized medicine, 2021, 11(7).

[29] EGNELL L, JEROME N P, ANDREASSEN M M S, et al. Effects of echo time on IVIM quantifications of locally advanced breast cancer in clinical diffusion-weighted MRI at 3 T [J]. NMR in biomedicine, 2021: e4654.

[30] MA Y, SHAN D, WEI J, et al. Application of intravoxel incoherent motion diffusion-weighted imaging in differential diagnosis and molecular subtype analysis of breast cancer [J]. American journal of translational research, 2021, 13(4): 3034-43.

[31] GU T, YANG T, HUANG J, et al. Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI [J]. Aging, 2021, 13(7): 9948-59.

[32] HOU W, XUE Y, QIAN Y, et al. Application of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Predicting and Monitoring Early Efficacy of Anti-Angiogenic Therapy in the C6 Glioma Rat Model [J]. Frontiers in oncology, 2021, 11: 842169.

[33] LUO H, HE L, CHENG W, et al. The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis [J]. The British journal of radiology, 2021, 94(1121): 20201321.

[34] PASCHOAL A M, ZOTIN M C Z, COSTA L M D, et al. Feasibility of intravoxel incoherent motion in the assessment of tumor microvasculature and blood-brain barrier integrity: a case-based evaluation of gliomas [J]. Magma (New York, NY), 2022, 35(1): 17-27.

[35] HENKELMAN R M. Does IVIM measure classical perfusion? [J]. Magnetic resonance in medicine, 1990, 16(3): 470-5.

[36] SUO S, CAO M, ZHU W, et al. Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI [J]. NMR in biomedicine, 2016, 29(3): 320-8.

[37] WU W C, CHEN Y F, TSENG H M, et al. Caveat of measuring perfusion indexes using intravoxel incoherent motion magnetic resonance imaging in the human brain [J]. European radiology, 2015, 25(8): 2485-92.

[38] CHEN F, DAI Z, YAO L, et al. Association of cerebral microvascular perfusion and diffusion dynamics detected by intravoxel incoherent motion-diffusion weighted imaging with initial neurological function and clinical outcome in acute ischemic stroke [J]. PeerJ, 2021, 9: e12196.

[39] Q C. The preliminary study of IVIM in different regions of DKI in patients with ischemic stroke [D]; Chinese Medical Sciences University(in chinese), 2019.

[40] HW Z, X Z, TH L, et al. Prediction of hemorrhagic transformation after revascularization in patients with acute ischemic stroke based on IVIM [J]. Chinese Journal of Magnetic Resonance Imaging(in chinese), 2019, 10(02): 110-4.

[41] MA J, ZHAO L, YUAN K, et al. Crossed cerebellar diaschisis after acute ischemic stroke detected by intravoxel incoherent motion magnetic resonance imaging [J]. Neurol Sci, 2022, 43(2): 1135-41.

[42] GAO Q Q, LU S S, XU X Q, et al. Quantitative assessment of hyperacute cerebral infarction with intravoxel incoherent motion MR imaging: Initial experience in a canine stroke model [J]. J Magn Reson Imaging, 2017, 46(2): 550-6.

[43] FEDERAU C, WINTERMARK M, CHRISTENSEN S, et al. Collateral blood flow measurement with intravoxel incoherent motion perfusion imaging in hyperacute brain stroke [J]. Neurology, 2019, 92(21): e2462-e71.

[44] UWANO I, KOBAYASHI M, SETTA K, et al. Assessment of Impaired Cerebrovascular Reactivity in Chronic Cerebral Ischemia using Intravoxel Incoherent Motion Magnetic Resonance Imaging [J]. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2021, 30(12): 106107.

[45] Y Z J, T S S, E Z Z, et al. Comparative study on evaluating brain perfusion of patients with ischemic stroke by intravoxel incoherent motion perfusion imaging and three-dimension arterial spin labeling imaging [J]. Journal of Shanghai Jiao Tong University(in chinese), 2015, 35(12): 1837-41.

[46] J P L, J W, Y Z J, et al. Diagnostic value of intravoxel incoherent motion magnetic resonance imaging in crossed cerebellar diaschisis after ischemic stroke [J]. Journal of Neurology and Neurorehabilitation (in chinese), 2020, 16(03): 100-7.