journal article·2023-12Open access

Contrast Agent‐Free 3D Renal Ultrafast Doppler Imaging Reveals Vascular Dysfunction in Acute and Diabetic Kidney Diseases

Donghyeon Oh, Donghyun Lee, Jinseok Heo, Jooyoung Kweon, Uijung Yong, Jinah Jang, Yong Joo Ahn, Chulhong Kim

Advanced Science· Volume 10· Issue 36

Abstract

Abstract To combat the irreversible decline in renal function associated with kidney disease, it is essential to establish non‐invasive biomarkers for assessing renal microcirculation. However, the limited resolution and/or vascular sensitivity of existing diagnostic imaging techniques hinders the visualization of complex cortical vessels. Here, a 3D renal ultrafast Doppler (UFD) imaging system that uses a high ultrasound frequency (18 MHz) and ultrahigh frame rate (1 KHz per slice) to scan the entire volume of a rat's kidney in vivo is demonstrated. The system, which can visualize the full 3D renal vascular branching pyramid at a resolution of 167 µm without any contrast agent, is used to chronically and noninvasively monitor kidneys with acute kidney injury (AKI, 3 days) and diabetic kidney disease (DKD, 8 weeks). Multiparametric UFD analyses (e.g., vessel volume occupancy (VVO), fractional moving blood volume (FMBV), vessel number density (VND), and vessel tortuosity (VT)) describe rapid vascular rarefaction from AKI and long‐term vascular degeneration from DKD, while the renal pathogeneses are validated by in vitro blood serum testing and stained histopathology. This work demonstrates the potential of 3D renal UFD to offer valuable insights into assessing kidney perfusion levels for future research in diabetes and kidney transplantation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Renal and Vascular Pathologies · MRI in cancer diagnosis · Advanced MRI Techniques and Applications

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

Affiliations

Departments of Electrical Engineering Convergence IT Engineering Medical Science and Engineering Mechanical Engineering and Medical Device Innovation Center Pohang University of Science and Technology (POSTECH) Cheongam‐ro 77, Nam‐gu Pohang Gyeongbuk 37673 Republic of Korea

Funding

National Research Foundation of Korea · Ministry of Science and ICT, South Korea · Kementerian Pendidikan · Ministry of Trade, Industry and Energy · Ministry of Health and Welfare · Korea Medical Device Development Fund

References (74)

Show source-provided references
1. Centers for Disease Control and Prevention Chronic Kidney Disease in the United States 2023. Atlanta GA 2023.https://www.cdc.gov/kidneydisease/publications-resources/ckd-national-facts.html.
2. 10.1016/S0140-6736(15)60126-X10.1016/S0140-6736(15)60126-X ↗
3. 10.1001/jama.2011.86110.1001/jama.2011.861 ↗
4. 10.1056/NEJMra05441510.1056/NEJMra054415 ↗
5. 10.1038/ki.1985.20510.1038/ki.1985.205 ↗
6. 10.2337/diab.38.9.110910.2337/diab.38.9.1109 ↗
7. 10.1152/ajprenal.00315.201810.1152/ajprenal.00315.2018 ↗
8. 10.1152/ajprenal.00421.201110.1152/ajprenal.00421.2011 ↗
9. 10.1681/ASN.201602023210.1681/ASN.2016020232 ↗
10. 10.1016/j.pacs.2020.10016810.1016/j.pacs.2020.100168 ↗
11. 10.1038/s41377-022-00820-w10.1038/s41377-022-00820-w ↗
12. 10.1016/j.pacs.2023.10048510.1016/j.pacs.2023.100485 ↗
13. 10.1002/lpor.20210012410.1002/lpor.202100124 ↗
14. 10.1073/pnas.192087911810.1073/pnas.1920879118 ↗
15. 10.1021/acs.chemrev.2c0062710.1021/acs.chemrev.2c00627 ↗
16. 10.1038/s41377-019-0220-410.1038/s41377-019-0220-4 ↗
17. 10.2214/ajr.180.6.180163310.2214/ajr.180.6.1801633 ↗
18. 10.1148/radiology.218.2.r01fe3648110.1148/radiology.218.2.r01fe36481 ↗
19. 10.1109/TMI.2012.220331610.1109/TMI.2012.2203316 ↗
20. 10.1109/TUFFC.2018.287008310.1109/TUFFC.2018.2870083 ↗
21. 10.1148/radiol.22073910.1148/radiol.220739 ↗
22. 10.1109/TMI.2015.242863410.1109/TMI.2015.2428634 ↗
23. 10.1038/jcbfm.2014.4910.1038/jcbfm.2014.49 ↗
24. 10.1016/j.cobme.2021.10028610.1016/j.cobme.2021.100286 ↗
25. 10.1038/s41592-019-0572-y10.1038/s41592-019-0572-y ↗
26. 10.1126/scitranslmed.aah675610.1126/scitranslmed.aah6756 ↗
27. 10.1038/s41551-021-00697-x10.1038/s41551-021-00697-x ↗
28. 10.1109/TUFFC.2018.285081110.1109/TUFFC.2018.2850811 ↗
29. 10.1038/s41598-017-13676-710.1038/s41598-017-13676-7 ↗
30. 10.1038/nature1606610.1038/nature16066 ↗
31. 10.1002/mp.1558310.1002/mp.15583 ↗
32. 10.1016/j.kint.2020.02.01110.1016/j.kint.2020.02.011 ↗
33. 10.1038/ki.1996.4810.1038/ki.1996.48 ↗
34. 10.1161/01.RES.38.1.3010.1161/01.RES.38.1.30 ↗
35. 10.1681/ASN.V118155310.1681/ASN.V1181553 ↗
36. 10.1152/ajprenal.00656.202010.1152/ajprenal.00656.2020 ↗
37. 10.1111/j.1440-1797.2007.00796.x10.1111/j.1440-1797.2007.00796.x ↗
38. 10.1007/s00125-011-2200-y10.1007/s00125-011-2200-y ↗
39. 10.2337/dc07-073210.2337/dc07-0732 ↗
40. 10.1056/NEJMcibr160856410.1056/NEJMcibr1608564 ↗
41. 10.1007/s00125-009-1268-010.1007/s00125-009-1268-0 ↗
42. 10.3109/0036551860908366010.3109/00365518609083660 ↗
43. 10.1002/uog.100210.1002/uog.1002 ↗
44. 10.1148/radiol.201919024810.1148/radiol.2019190248 ↗
45. 10.1016/j.addr.2010.10.00210.1016/j.addr.2010.10.002 ↗
46. 10.1016/j.ultrasmedbio.2006.07.03310.1016/j.ultrasmedbio.2006.07.033 ↗
47. 10.1016/j.ultrasmedbio.2007.03.00210.1016/j.ultrasmedbio.2007.03.002 ↗
48. 10.1016/j.kint.2021.04.03210.1016/j.kint.2021.04.032 ↗
49. 10.1177/1742271X1562718510.1177/1742271X15627185 ↗
50. 10.1177/205435811877857310.1177/2054358118778573 ↗
51. 10.1148/radiol.201919209410.1148/radiol.2019192094 ↗
52. 10.1186/s12968-015-0174-510.1186/s12968-015-0174-5 ↗
53. 10.1016/j.neuroimage.2021.11872410.1016/j.neuroimage.2021.118724 ↗
54. 10.1002/mrm.2078410.1002/mrm.20784 ↗
55. Stankovic Z. · Cardiovasc. Diagn. Ther. · 2014 · 4 · 173
56. Zhang H. · J. Ultrasound Med. · 2023
57. 10.1016/j.mri.2011.09.01810.1016/j.mri.2011.09.018 ↗
58. 10.1016/j.ultrasmedbio.2022.05.03510.1016/j.ultrasmedbio.2022.05.035 ↗
59. 10.1016/j.kisu.2017.10.00310.1016/j.kisu.2017.10.003 ↗
60. Thomas M. C. · Nat. Rev. Dis. Primers · 2015 · 1 · 1
61. 10.1053/j.ajkd.2015.02.33810.1053/j.ajkd.2015.02.338 ↗
62. 10.1016/j.ebiom.2023.10457810.1016/j.ebiom.2023.104578 ↗
63. 10.1016/j.neuroimage.2015.11.01410.1016/j.neuroimage.2015.11.014 ↗
64. 10.1109/TMI.2019.295983310.1109/TMI.2019.2959833 ↗
65. 10.1158/0008-5472.CAN-20-333410.1158/0008-5472.CAN-20-3334 ↗
66. 10.1002/advs.20220208910.1002/advs.202202089 ↗
67. 10.1148/radiol.21102910.1148/radiol.211029 ↗
68. 10.1016/j.pacs.2020.10017310.1016/j.pacs.2020.100173 ↗
69. 10.1109/TUFFC.2005.140654410.1109/TUFFC.2005.1406544 ↗
70. 10.1109/TUFFC.2005.140654310.1109/TUFFC.2005.1406543 ↗
71. 10.1097/01.ASN.0000099379.61001.F810.1097/01.ASN.0000099379.61001.F8 ↗
72. 10.1016/j.kint.2023.01.02710.1016/j.kint.2023.01.027 ↗
73. 10.1002/advs.20220575910.1002/advs.202205759 ↗
74. 10.1109/TMI.2003.81696410.1109/TMI.2003.816964 ↗