journal article·2024-06Open access

Detection of Blood Clots Using a Whole Stent as an Active Implantable Biosensor

Mahmut Talha Kirimi, Daniel Hoare, Michael Holsgrove, Jakup Czyzewski, Nosrat Mirzai, John R. Mercer, Steve L. Neale

Advanced Science· Volume 11· Issue 21

Abstract

Abstract Many cardiovascular problems stem from blockages that form within the vasculature and often treatment includes fitting a stent through percutaneous coronary intervention. This offers a minimally invasive therapy but re‐occlusion through restenosis or thrombosis formation often occurs post‐deployment. Research is ongoing into the creation of smart stents that can detect the occurrence of further problems. In this study, it is shown that selectively metalizing a non‐conductive stent can create a set of electrodes that are capable of detecting a build‐up of material around the stent. The associated increase in electrical impedance across the electrodes is measured, testing the stent with blood clot to mimic thrombosis. It is shown that the device is capable of sensing different amounts of occlusion. The stent can reproducibly sense the presence of clot showing a 16% +/−3% increase in impedance which is sufficient to reliably detect the clot when surrounded by explanted aorta (one sample t‐test, p = 0.009, n = 9). It is demonstrated that this approach can be extended beyond the 3D printed prototypes by showing that it can be applied to a commercially available stent and it is believed that it can be further utilized by other types of medical implants.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Coronary Interventions and Diagnostics · Analytical Chemistry and Sensors · Advanced Machining and Optimization Techniques

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

Affiliations

Centre for Medical and Industrial Ultrasonics James Watt School of Engineering University of Glasgow Glasgow G12 8QQ UK

Institute of Cardiovascular and Medical Sciences/British Heart Foundation University of Glasgow Glasgow G12 8QQ UK

BioElectronics Unit College of Medical Veterinary and Life Sciences University of Glasgow Glasgow G12 8QQ UK

Funding

Engineering and Physical Sciences Research Council

References (52)

Show source-provided references
1. World Health Organization 2022.
2. 10.1038/s41572-019-0106-z10.1038/s41572-019-0106-z ↗
3. 10.1093/clinchem/hvaa27510.1093/clinchem/hvaa275 ↗
4. 10.1161/ATVBAHA.119.31257810.1161/ATVBAHA.119.312578 ↗
5. 10.1161/CIRCRESAHA.118.31266910.1161/CIRCRESAHA.118.312669 ↗
6. 10.1016/j.jacc.2019.05.04910.1016/j.jacc.2019.05.049 ↗
7. 10.1016/j.mpmed.2018.06.00710.1016/j.mpmed.2018.06.007 ↗
8. 10.1038/s41598-022-12339-610.1038/s41598-022-12339-6 ↗
9. 10.1056/NEJMoa210465010.1056/NEJMoa2104650 ↗
10. 10.1093/ehjcr/ytab17310.1093/ehjcr/ytab173 ↗
11. 10.1016/S0735-1097(97)00450-610.1016/S0735-1097(97)00450-6 ↗
12. 10.1161/CIRCINTERVENTIONS.110.95733210.1161/CIRCINTERVENTIONS.110.957332 ↗
13. 10.1002/adma.20230107410.1002/adma.202301074 ↗
14. 10.1002/adhm.20220096510.1002/adhm.202200965 ↗
15. 10.1161/CIRCINTERVENTIONS.119.00782210.1161/CIRCINTERVENTIONS.119.007822 ↗
16. 10.3390/jcm706012610.3390/jcm7060126 ↗
17. 10.1016/j.ijcard.2016.11.25810.1016/j.ijcard.2016.11.258 ↗
18. Jinnouchi H. · Nat. Rev. Cardiol. · 2018 · 286
19. 10.1016/j.jacc.2018.02.02310.1016/j.jacc.2018.02.023 ↗
20. 10.1016/j.jcin.2016.03.01810.1016/j.jcin.2016.03.018 ↗
21. 10.1002/advs.20170056010.1002/advs.201700560 ↗
22. 10.1002/ccd.2346810.1002/ccd.23468 ↗
23. 10.1016/j.jacc.2006.03.04210.1016/j.jacc.2006.03.042 ↗
24. 10.1038/366591a010.1038/366591a0 ↗
25. 10.1073/pnas.81.12.376110.1073/pnas.81.12.3761 ↗
26. 10.1109/51.29401210.1109/51.294012 ↗
27. 10.1109/TBME.1986.32589610.1109/TBME.1986.325896 ↗
28. 10.1016/j.bios.2011.05.03310.1016/j.bios.2011.05.033 ↗
29. 10.1371/journal.pone.020675810.1371/journal.pone.0206758 ↗
30. Messina P. · J. neurointerventional surgery · 2022
31. 10.1002/mds3.1011610.1002/mds3.10116 ↗
32. 10.1109/LAWP.2015.247195510.1109/LAWP.2015.2471955 ↗
33. 10.1016/j.sna.2017.01.01710.1016/j.sna.2017.01.017 ↗
34. 10.1126/sciadv.abm117510.1126/sciadv.abm1175 ↗
35. 10.1002/advs.20190085610.1002/advs.201900856 ↗
36. 10.1002/advs.20190299910.1002/advs.201902999 ↗
37. 10.1002/advs.20210528510.1002/advs.202105285 ↗
38. D.Hoare S.Fisher F.Nelson A.Tsiamis J. R. K.Marland S.Mitra S. L.Neale J. R.Mercer in2022 44th Annual Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC) IEEE Glasgow UK2022pp.2298–2301.10.1109/EMBC48229.2022.9871936 ↗
39. 10.1186/1475-925X-9-6710.1186/1475-925X-9-67 ↗
40. 10.1002/admt.20210065210.1002/admt.202100652 ↗
41. 10.3390/s1921461610.3390/s19214616 ↗
42. 10.3390/s1606080910.3390/s16060809 ↗
43. 10.1039/D2AN01258H10.1039/D2AN01258H ↗
44. 10.1016/j.mee.2018.12.00710.1016/j.mee.2018.12.007 ↗
45. 10.1016/j.matdes.2022.11119510.1016/j.matdes.2022.111195 ↗
46. 10.1038/s41598-019-44784-110.1038/s41598-019-44784-1 ↗
47. 10.1016/j.compositesb.2021.10936510.1016/j.compositesb.2021.109365 ↗
48. 10.1016/j.bios.2022.11414510.1016/j.bios.2022.114145 ↗
49. 10.1088/0957-0233/14/8/31810.1088/0957-0233/14/8/318 ↗
50. 10.1136/neurintsurg-2020-01686210.1136/neurintsurg-2020-016862 ↗
51. 10.1007/s10047-015-0847-810.1007/s10047-015-0847-8 ↗
52. 10.1016/j.bios.2019.11143710.1016/j.bios.2019.111437 ↗