Application of nanomaterials-enhanced magnetic resonance imaging in precise diagnosis of pan-vascular diseases_Journal of Biomedical Engineering

Authors：

LI Yao ¹ ,  ZHANG Peisen ¹ ,  ZHANG Ni ²

1. College of Chemical and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, Shandong 266042, P. R. China;
2. West China Hospital of Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

Keywords：

Pan-vascular diseases; Nanomaterials; Magnetic resonance imaging

DOI：

10.7507/1001-5515.202412068

Video：

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Pan-vascular diseases encompass a range of systemic conditions characterized by sharing a common pathologic basis of vascular deterioration. Due to the complexity of these diseases, a thorough understanding on their similarities and differences is essential for optimizing diagnosis and treatment strategies. Magnetic resonance imaging (MRI), as one of the commonly used medical imaging techniques, has been widely applied in the diagnosis of pan-vascular diseases. Particularly, the integration of MRI with contrast agents and multi-parameter imaging techniques significantly enhances diagnostic accuracy, reducing the likelihood of missed or incorrect diagnoses. Recently, a variety of nano-magnetic resonance contrast agents have been developed and applied to the magnetic resonance diagnosis of diseases. These nanotechnology-based contrast agents provide multiple advantages, ensuring more precise and forward-looking imaging of pan-vascular conditions. In this review, the diverse application strategies of nanomaterials-enhanced MRI techniques in the diagnosis of pan-vascular diseases were systematically summarized, by classifying them into the commonly used MRI sequences in clinical practice. Additionally, the potential advantages and challenges associated with the clinical translation of nanomaterial-enhanced MRI were also discussed. This review not only offers a novel perspective on the precise diagnosis of pan-vascular diseases, but also serves as a valuable reference for future clinical practice and research in the field.

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5.	Xu X, Xu X D, Liang Y, et al. Research trends and hotspots of exercise therapy in panvascular disease: a bibliometric analysis. Medicine, 2023, 102(45): e35879.
6.	Hu Y, Zhao Y, Li P, et al. Hypoxia and panvascular diseases: exploring the role of hypoxia-inducible factors in vascular smooth muscle cells under panvascular pathologies. Sci Bull, 2023, 68(17): 1954-1974.
7.	Li Y, Liu Y, Liu S, et al. Diabetic vascular diseases: molecular mechanisms and therapeutic strategies. Signal Transduct Target Ther, 2023, 8(1): 152.
8.	Li J. Application of nanoscale microparticle technology in medical imaging diagnosis and treatment. J Nanomater, 2022, 2022: 5735757.
9.	Liu J, Zhou X, Guan W, et al. Research on detection method of bleeding point in two-dimensional DSA image based on parametric color imaging. Comput Biol Med, 2022, 146: 105496.
10.	杨金生, 曾鹏程, 陶辉, 等. 头颈CTA联合全脑CT灌注成像对早期缺血性脑卒中的临床应用价值. 影像研究与医学应用, 2024, 8(22): 76-78.
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17.	Gao Y, Liu S, Zeng X, et al. Reduction of reactive oxygen species accumulation using gadolinium-doped ceria for the alleviation of atherosclerosis. ACS Appl Mater Interfaces, 2023, 15(8): 10414-10425.
18.	Fang Y, Yang R, Hou Y, et al. Dual-modality imaging of angiogenesis in unstable atherosclerotic plaques with VEGFR2-targeted upconversion nanoprobes in vivo. Mol Imaging Biol, 2022, 24(5): 721-731.
19.	Li X, Huang W, Holmes J H. Dynamic contrast-enhanced (DCE) MRI. Magn Reson Imaging Clin N Am, 2024, 32(1): 47-61.
20.	Kinota N, Kameda H, Bai Xiawei, et al. Blockage of CSF outflow in rats after deep cervical lymph node ligation observed using Gd-based MR Imaging. Magn Reson Med Sci, 2024, 23(4): 449-459.
21.	Lu Y, Xu Y J, Zhang G B, et al. Iron oxide nanoclusters for T1 magnetic resonance imaging of non-human primates. Nat Biomed Eng, 2017, 1(8): 637-643.
22.	徐阳, 甄俊平. 增强磁共振成像对比剂的研究进展. 临床放射学杂志, 2023, 42(9): 1523-1526.
23.	Zhang P, Cheng J, Liu C, et al. Hypersensitive MR angiography for diagnosis of ischemic stroke and reperfusion subarachnoid hemorrhage. Anal Chem, 2024, 96(29): 11742-11750.
24.	He F, Zhu L, Zhou X, et al. Red blood cell membrane-coated ultrasmall NaGdF4 nanoprobes for high-resolution 3D magnetic resonance angiography. ACS Appl Mater Interfaces, 2022, 14(23): 26372-26381.
25.	Li W, Cheng J, Zhang X, et al. High-resolution magnetic resonance angiography of tumor vasculatures with an interlocking contrast agent. ACS nano, 2024, 18(37): 25647-25656.
26.	Briola C. Magnetic resonance imaging and magnetic resonance imaging cholangiopancreatography of the pancreas in small animals. Vet Sci, 2022, 9(8): 378.
27.	余日胜, 杨晓艳. 诊疗一体化超顺磁性氧化铁纳米颗粒用于胰腺癌靶向成像与治疗的研究进展. 浙江医学, 2022, 44(16): 1687-1693.
28.	乔瑞瑞, 曾剑峰, 贾巧娟, 等. 磁性氧化铁纳米颗粒——通向肿瘤磁共振分子影像的重要基石. 物理化学学报, 2012, 28(5): 993-1011.
29.	Wen S, Liu D F, Liu Z, et al. OxLDL-targeted iron oxide nanoparticles for in vivo MRI detection of perivascular carotid collar induced atherosclerotic lesions in ApoE-deficient mice. J Lipid Res, 2012, 53(5): 829-838.
30.	Qiao H, Wang Y, Zhang R, et al. MRI/optical dual-modality imaging of vulnerable atherosclerotic plaque with an osteopontin-targeted probe based on Fe₃O₄ nanoparticles. Biomaterials, 2017, 112: 336-345.
31.	Wu Q, Pan W, Wu G, et al. CD40-targeting magnetic nanoparticles for MRI/optical dual-modality molecular imaging of vulnerable atherosclerotic plaques. Atherosclerosis, 2023, 369: 17-26.
32.	Geng Z, Wang S, Ma L, et al. Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging. Radiol Med, 2024, 129(8): 1130-1142.
33.	郑玉明. 磁敏感加权成像在脑血管疾病诊断中的应用. 中国冶金工业医学杂志, 2024, 41(6): 704-705.
34.	Wang T, Hou Y, Bu B, et al. Timely visualization of the collaterals formed during acute ischemic stroke with Fe₃O₄ nanoparticle-based MR imaging probe. Small, 2018, 14(23): e1800573.
35.	Zhang P, Li W, Liu C, et al. Simultaneous identifying the infarct core, collaterals, and penumbra after acute ischemic stroke with a low-immunogenic MRI nanoprobe. Mater Design, 2023, 233: 112211.
36.	Zhang P, Feng Y, Zhu L, et al. Predicting thrombolytic haemorrhage risk of acute ischemic stroke through angiogenesis/inflammation dual-targeted MR imaging. Nano Today, 2023, 48: 101707.
37.	Laothamatas I, Al Mubarak H, Reddy A, et al. Multiparametric MRI of solid renal masses: principles and applications of advanced quantitative and functional methods for tumor diagnosis and characterization. J Magn Reson Imaging, 2023, 58(2): 342-359.
38.	Li W, Zhang R, Zhang X, et al. Precise diagnosis of cardiac-cerebral vascular diseases with magnetic resonance imaging-based nanoprobes. iRadiology, 2024, 2(3): 264-284.
39.	Li W, Cheng J, Liu C, et al. Shine and darkle the blood vessels: multiparameter hypersensitive MR angiography for diagnosis of panvascular diseases. Sci Adv, 2024, 10(40): eadq4082.
40.	Wang J, Jia Y, Wang Q, et al. An ultrahigh-field-tailored T1-T2 dual-mode MRI contrast agent for high-performance vascular imaging. Adv Mater, 2021, 33(2): e2004917.

1. Zhou X, Yu L, Zhao Y, et al. Panvascular medicine: an emerging discipline focusing on atherosclerotic diseases. Eur Heart J, 2022, 43(43): 4528-4531.
2. 朱德文, 陈丽娜. 泛血管病的抗栓治疗进展. 心电与循环, 2024, 43(5): 530-534.
3. Mehra M R, Boulet J, Pelletier-Galarneau M. The panvascular interplay in pathophysiology and prognosis of cardiac allograft vasculopathy. J Am Coll Cardiol, 2022, 80(17): 1629-1632.
4. 翁子骞, 朱月, 胡思宁, 等. 泛血管动脉粥样硬化性疾病的研究进展. 心血管病学进展, 2023, 44(12): 1094-1097.
5. Xu X, Xu X D, Liang Y, et al. Research trends and hotspots of exercise therapy in panvascular disease: a bibliometric analysis. Medicine, 2023, 102(45): e35879.
6. Hu Y, Zhao Y, Li P, et al. Hypoxia and panvascular diseases: exploring the role of hypoxia-inducible factors in vascular smooth muscle cells under panvascular pathologies. Sci Bull, 2023, 68(17): 1954-1974.
7. Li Y, Liu Y, Liu S, et al. Diabetic vascular diseases: molecular mechanisms and therapeutic strategies. Signal Transduct Target Ther, 2023, 8(1): 152.
8. Li J. Application of nanoscale microparticle technology in medical imaging diagnosis and treatment. J Nanomater, 2022, 2022: 5735757.
9. Liu J, Zhou X, Guan W, et al. Research on detection method of bleeding point in two-dimensional DSA image based on parametric color imaging. Comput Biol Med, 2022, 146: 105496.
10. 杨金生, 曾鹏程, 陶辉, 等. 头颈CTA联合全脑CT灌注成像对早期缺血性脑卒中的临床应用价值. 影像研究与医学应用, 2024, 8(22): 76-78.
11. Qaseem Y, Cassidy F, Aganovic L, et al. Renovascular involvement of systemic vascular disease: a pictorial review. Abdom Radiol, 2022, 47(10): 3531-3545.
12. Soufi G J, Hekmatnia A, Iravani S, et al. Nanoscale contrast agents for magnetic resonance imaging: a review. ACS Appl Nano Mater, 2022, 5(8): 10151-10166.
13. Foster D, Larsen J. Polymeric metal contrast agents for T1-weighted magnetic resonance imaging of the brain. ACS Biomater Sci Eng, 2023, 9(3): 1224-1242.
14. Werner E J, Datta A, Jocher C J, et al. High-relaxivity MRI contrast agents: where coordination chemistry meets medical imaging. Angew Chem Int Ed Engl, 2008, 47(45): 8568-8580.
15. 孟俊, 毕俊英, 刘良进, 等. T1加权灌注成像在肝细胞癌诊断中的应用研究. 现代医用影像学, 2022, 31(1): 1-4.
16. Zhang P, Cheng J, Lu Y, et al. Hypersensitive MR angiography based on interlocking stratagem for diagnosis of cardiac-cerebral vascular diseases. Nat Commun, 2023, 14(1): 6149.
17. Gao Y, Liu S, Zeng X, et al. Reduction of reactive oxygen species accumulation using gadolinium-doped ceria for the alleviation of atherosclerosis. ACS Appl Mater Interfaces, 2023, 15(8): 10414-10425.
18. Fang Y, Yang R, Hou Y, et al. Dual-modality imaging of angiogenesis in unstable atherosclerotic plaques with VEGFR2-targeted upconversion nanoprobes in vivo. Mol Imaging Biol, 2022, 24(5): 721-731.
19. Li X, Huang W, Holmes J H. Dynamic contrast-enhanced (DCE) MRI. Magn Reson Imaging Clin N Am, 2024, 32(1): 47-61.
20. Kinota N, Kameda H, Bai Xiawei, et al. Blockage of CSF outflow in rats after deep cervical lymph node ligation observed using Gd-based MR Imaging. Magn Reson Med Sci, 2024, 23(4): 449-459.
21. Lu Y, Xu Y J, Zhang G B, et al. Iron oxide nanoclusters for T1 magnetic resonance imaging of non-human primates. Nat Biomed Eng, 2017, 1(8): 637-643.
22. 徐阳, 甄俊平. 增强磁共振成像对比剂的研究进展. 临床放射学杂志, 2023, 42(9): 1523-1526.
23. Zhang P, Cheng J, Liu C, et al. Hypersensitive MR angiography for diagnosis of ischemic stroke and reperfusion subarachnoid hemorrhage. Anal Chem, 2024, 96(29): 11742-11750.
24. He F, Zhu L, Zhou X, et al. Red blood cell membrane-coated ultrasmall NaGdF4 nanoprobes for high-resolution 3D magnetic resonance angiography. ACS Appl Mater Interfaces, 2022, 14(23): 26372-26381.
25. Li W, Cheng J, Zhang X, et al. High-resolution magnetic resonance angiography of tumor vasculatures with an interlocking contrast agent. ACS nano, 2024, 18(37): 25647-25656.
26. Briola C. Magnetic resonance imaging and magnetic resonance imaging cholangiopancreatography of the pancreas in small animals. Vet Sci, 2022, 9(8): 378.
27. 余日胜, 杨晓艳. 诊疗一体化超顺磁性氧化铁纳米颗粒用于胰腺癌靶向成像与治疗的研究进展. 浙江医学, 2022, 44(16): 1687-1693.
28. 乔瑞瑞, 曾剑峰, 贾巧娟, 等. 磁性氧化铁纳米颗粒——通向肿瘤磁共振分子影像的重要基石. 物理化学学报, 2012, 28(5): 993-1011.
29. Wen S, Liu D F, Liu Z, et al. OxLDL-targeted iron oxide nanoparticles for in vivo MRI detection of perivascular carotid collar induced atherosclerotic lesions in ApoE-deficient mice. J Lipid Res, 2012, 53(5): 829-838.
30. Qiao H, Wang Y, Zhang R, et al. MRI/optical dual-modality imaging of vulnerable atherosclerotic plaque with an osteopontin-targeted probe based on Fe₃O₄ nanoparticles. Biomaterials, 2017, 112: 336-345.
31. Wu Q, Pan W, Wu G, et al. CD40-targeting magnetic nanoparticles for MRI/optical dual-modality molecular imaging of vulnerable atherosclerotic plaques. Atherosclerosis, 2023, 369: 17-26.
32. Geng Z, Wang S, Ma L, et al. Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging. Radiol Med, 2024, 129(8): 1130-1142.
33. 郑玉明. 磁敏感加权成像在脑血管疾病诊断中的应用. 中国冶金工业医学杂志, 2024, 41(6): 704-705.
34. Wang T, Hou Y, Bu B, et al. Timely visualization of the collaterals formed during acute ischemic stroke with Fe₃O₄ nanoparticle-based MR imaging probe. Small, 2018, 14(23): e1800573.
35. Zhang P, Li W, Liu C, et al. Simultaneous identifying the infarct core, collaterals, and penumbra after acute ischemic stroke with a low-immunogenic MRI nanoprobe. Mater Design, 2023, 233: 112211.
36. Zhang P, Feng Y, Zhu L, et al. Predicting thrombolytic haemorrhage risk of acute ischemic stroke through angiogenesis/inflammation dual-targeted MR imaging. Nano Today, 2023, 48: 101707.
37. Laothamatas I, Al Mubarak H, Reddy A, et al. Multiparametric MRI of solid renal masses: principles and applications of advanced quantitative and functional methods for tumor diagnosis and characterization. J Magn Reson Imaging, 2023, 58(2): 342-359.
38. Li W, Zhang R, Zhang X, et al. Precise diagnosis of cardiac-cerebral vascular diseases with magnetic resonance imaging-based nanoprobes. iRadiology, 2024, 2(3): 264-284.
39. Li W, Cheng J, Liu C, et al. Shine and darkle the blood vessels: multiparameter hypersensitive MR angiography for diagnosis of panvascular diseases. Sci Adv, 2024, 10(40): eadq4082.
40. Wang J, Jia Y, Wang Q, et al. An ultrahigh-field-tailored T1-T2 dual-mode MRI contrast agent for high-performance vascular imaging. Adv Mater, 2021, 33(2): e2004917.

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