journal article·2024-08-13

Ultrahigh-Resolution Visualization of Vascular Heterogeneity in Brain Tumors via Magnetic Nanoparticles-Enhanced Susceptibility-Weighted Imaging

Yujie Zhao, Jinbin Pan, Bing Han, Wenjing Hou, Bingjie Li, Jiaojiao Wang, Guohe Wang, Yujing He, Min Ma, Junzi Zhou, Chunshui Yu, Shao-Kai Sun

ACS Nano· Volume 18· Issue 32
Publisher page

Abstract

The precise assessment of vascular heterogeneity in brain tumors is vital for diagnosing, grading, predicting progression, and guiding treatment decisions. However, currently, there is a significant shortage of high-resolution imaging approaches. Herein, we propose a contrast-enhanced susceptibility-weighted imaging (CE-SWI) utilizing the minimalist dextran-modified Fe 3 O 4 nanoparticles (Dextran@Fe 3 O 4 NPs) for ultrahigh-resolution mapping of vasculature in brain tumors. The Dextran@Fe 3 O 4 NPs are prepared via a facile coprecipitation method under room temperature, and exhibit small hydrodynamic size (28 nm), good solubility, excellent biocompatibility, and high transverse relaxivity ( r 2 *, 159.7 mM –1 s –1 ) under 9.4 T magnetic field. The Dextran@Fe 3 O 4 NPs-enhanced SWI can increase the contrast-to-noise ratio (CNR) of cerebral vessels to 2.5 times that before injection and achieves ultrahigh-spatial-resolution visualization of microvessels as small as 0.1 mm in diameter. This advanced imaging capability not only allows for the detailed mapping of both enlarged peritumoral drainage vessels and the intratumoral microvessels, but also facilitates the sensitive imaging detection of vascular permeability deterioration in a C6 cells-bearing rat glioblastoma model. Our proposed Dextran@Fe 3 O 4 NPs-enhanced SWI provides a powerful imaging technique with great clinical translation potential for the precise theranostics of brain tumors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced MRI Techniques and Applications · Nanoparticle-Based Drug Delivery · MRI in cancer diagnosis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

Department of Diagnostic and Therapeutic Ultrasonography, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China

Department of Radiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China

School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin 300204, China

Funding

Natural Science Foundation of Tianjin Municipality · National Natural Science Foundation of China · Tianjin Medical University · Tianjin Health Research Project · Tianjin Key Medical Discipline (Specialty) Construction Project

References (69)

Show source-provided references
1. 10.1093/neuonc/noz15010.1093/neuonc/noz150 ↗
2. 10.3322/caac.2161310.3322/caac.21613 ↗
3. 10.1002/cac2.1202610.1002/cac2.12026 ↗
4. 10.1038/nrn217510.1038/nrn2175 ↗
5. 10.1038/s41582-018-0025-810.1038/s41582-018-0025-8 ↗
6. 10.1038/s41568-019-0205-x10.1038/s41568-019-0205-x ↗
7. 10.3171/2019.10.JNS19220610.3171/2019.10.JNS192206 ↗
8. 10.3390/cancers1101008410.3390/cancers11010084 ↗
9. 10.7150/thno.2478410.7150/thno.24784 ↗
10. 10.1161/CIRCIMAGING.123.01540410.1161/CIRCIMAGING.123.015404 ↗
11. 10.1007/s00330-024-10772-x10.1007/s00330-024-10772-x ↗
12. 10.1002/jmri.2630610.1002/jmri.26306 ↗
13. 10.1002/jmri.2866210.1002/jmri.28662 ↗
14. 10.1148/radiol.248107149710.1148/radiol.2481071497 ↗
15. 10.1002/jmri.2364110.1002/jmri.23641 ↗
16. 10.1148/radiol.202120307110.1148/radiol.2021203071 ↗
17. 10.4329/wjr.v10.i4.3010.4329/wjr.v10.i4.30 ↗
18. 10.1080/00207454.2019.157665910.1080/00207454.2019.1576659 ↗
19. 10.1089/neu.2018.600410.1089/neu.2018.6004 ↗
20. 10.1148/radiology.204.1.920525910.1148/radiology.204.1.9205259 ↗
21. 10.1007/s00330-013-2895-x10.1007/s00330-013-2895-x ↗
22. 10.1016/j.jneumeth.2017.07.00310.1016/j.jneumeth.2017.07.003 ↗
23. 10.1148/radiol.22011410.1148/radiol.220114 ↗
24. 10.1002/nbm.425610.1002/nbm.4256 ↗
25. 10.1021/cr068445e10.1021/cr068445e ↗
26. 10.1002/adma.20080236610.1002/adma.200802366 ↗
27. 10.1038/ncomms1546810.1038/ncomms15468 ↗
28. 10.1016/j.biomaterials.2019.11963110.1016/j.biomaterials.2019.119631 ↗
29. 10.1002/smll.20180057310.1002/smll.201800573 ↗
30. 10.1016/j.nantod.2022.10170710.1016/j.nantod.2022.101707 ↗
31. 10.1038/s41427-023-00505-910.1038/s41427-023-00505-9 ↗
32. 10.1016/j.matdes.2023.11221110.1016/j.matdes.2023.112211 ↗
33. 10.1007/s12274-023-6214-910.1007/s12274-023-6214-9 ↗
34. 10.1038/s41467-020-19061-910.1038/s41467-020-19061-9 ↗
35. 10.2147/IJN.S38567910.2147/IJN.S385679 ↗
36. 10.1016/j.biomaterials.2015.07.05010.1016/j.biomaterials.2015.07.050 ↗
37. 10.1021/acsnano.2c1287410.1021/acsnano.2c12874 ↗
38. 10.1002/smll.20220270510.1002/smll.202202705 ↗
39. 10.1002/smll.20230484810.1002/smll.202304848 ↗
40. 10.1016/j.cej.2020.12574010.1016/j.cej.2020.125740 ↗
41. 10.1021/acsanm.4c0083310.1021/acsanm.4c00833 ↗
42. 10.1016/j.neuroimage.2020.11710610.1016/j.neuroimage.2020.117106 ↗
43. 10.1002/adhm.20230277310.1002/adhm.202302773 ↗
44. 10.1016/j.matlet.2016.02.00610.1016/j.matlet.2016.02.006 ↗
45. 10.1039/C8NR00736E10.1039/C8NR00736E ↗
46. 10.1093/nsr/nwae05710.1093/nsr/nwae057 ↗
47. 10.1039/C5DT02486B10.1039/C5DT02486B ↗
48. 10.7763/IJESD.2013.V4.36610.7763/IJESD.2013.V4.366 ↗
49. 10.1016/j.apsusc.2014.02.00610.1016/j.apsusc.2014.02.006 ↗
50. 10.1021/ac00234a03010.1021/ac00234a030 ↗
51. 10.1016/j.bej.2008.07.00910.1016/j.bej.2008.07.009 ↗
52. 10.1039/C6NR07462F10.1039/C6NR07462F ↗
53. 10.1021/acsami.6b1293210.1021/acsami.6b12932 ↗
54. 10.1039/C6NR00280C10.1039/C6NR00280C ↗
55. 10.1016/j.atherosclerosis.2023.02.00810.1016/j.atherosclerosis.2023.02.008 ↗
56. 10.3389/fbioe.2022.84454010.3389/fbioe.2022.844540 ↗
57. 10.1002/mrm.2218510.1002/mrm.22185 ↗
58. 10.1007/s00401-009-0615-z10.1007/s00401-009-0615-z ↗
59. 10.1148/radiology.175.2.232647410.1148/radiology.175.2.2326474 ↗
60. 10.2214/ajr.152.1.16710.2214/ajr.152.1.167 ↗
61. 10.1038/s41571-021-00529-610.1038/s41571-021-00529-6 ↗
62. 10.1101/cshperspect.a02041210.1101/cshperspect.a020412 ↗
63. 10.1002/smll.20130167310.1002/smll.201301673 ↗
64. 10.3389/fonc.2020.0073910.3389/fonc.2020.00739 ↗
65. 10.1002/smll.20230261310.1002/smll.202302613 ↗
66. 10.1016/j.acra.2018.10.01210.1016/j.acra.2018.10.012 ↗
67. 10.1007/978-1-4939-7531-0_2310.1007/978-1-4939-7531-0_23 ↗
68. 10.1148/radiol.201514269010.1148/radiol.2015142690 ↗
69. 10.1681/ASN.200606060110.1681/ASN.2006060601 ↗