Gradient of luminal narrowing of internal carotid artery on atherosclerotic plaque as risk factor for cerebral ischemic damage
https://doi.org/10.15829/1560-4071-2019-12-62-69
Abstract
Aim. To study the clinical significance of the gradient of narrowing of arterial lumen (GNL) for atherosclerotic stenosis of the internal carotid artery (ICA) as a risk factor for ischemic brain damage.
Material and methods. We proposed a new parameter of hemodynamic severity of ICA atherosclerotic stenosis — GNL. It calculated as ratio of the difference in the ICA cross section areas on the stenotic lesion and the near non-stenotic region to the distance between them: Snorm — Sstenosis)/Dnorm — stenosis, mm2 /mm. We examined 25 patients with advanced atherosclerosis and with uni(n=22) or bilateral (n=3) ICA stenosis >50% according to European Carotid Surgery Trial, and 11 individuals without ICA stenosis. Each participant underwent magnetic resonance angiography (MRA) of the carotid arteries with reconstruction of the arteries from C6-C7 level to the parietal bones, and the GNL was calculated. The thickness of the baseline slice was 0,8-1 mm. Each subject also underwent cerebral magnetic resonance imaging (MRI) in T1-, T2-, PD-, flair-weighted protocols.
Results. Patients were divided into groups: group 1 (n=12) — without ischemic injury in the ICA system, and group 2 (n=13) — with MRI signs ischemic injury history. The groups did not differ in proportion of stenosis (74,9±4,25% and 77,8±3,8%, p<0,05), ICA lumen area on the stenotic lesion (1,05±0,18 mm2 and 1,14±0,17 mm2 , p<0,05) and the ICA diameter at the non-stenotic region (4,30±0,32 mm and 4,9±0,29 mm, p<0,05). In control group, GNL was <0,75 mm2 /mm. Groups 1 and 2 significantly differed (2,47±0,41 mm2 /mm and 4,60±0,51 mm2 /mm, p<0,02). In group 2, 12 out of 13 patients had GNL >3,35 mm2 /mm, and, in group 1, 9 out of 12 — less than 3,35 mm2 /mm. GNL did not correlate significantly with other parameters of ICA stenosis. Two patients with the highest GNL in each group (5,5 and 8,6 mm2 /mm) had a fatal ischemic stroke within six months
Conclusion. Firstly, proposed parameter of stenosis hemodynamic severity GNL is independent, informative and prognostically important indicator for carotid artery atherosclerotic lesion.
Keywords
About the Authors
W. Yu. UssovCardiology Research Institute, Tomsk National Research Medical Center; Tomsk Polytechnic University
Russian Federation
Tomsk
Competing Interests: Конфликты отсутствуют
A. S. Maksimova
Cardiology Research Institute, Tomsk National Research Medical Center
Russian Federation
Tomsk
Competing Interests: Конфликты отсутствуют
V. E. Sinitsyn
Russian Federation
Moscow
Competing Interests: Конфликты отсутствуют
S. I. Karas
Russian Federation
Tomsk
Competing Interests:
Конфликты отсутствуют
E. E. Bobrikova
Russian Federation
Tomsk
Competing Interests: Конфликт отсутствует
S. P. Yaroshevsky
Russian Federation
Tomsk
Competing Interests: Конфликт отсутствует
O. I. Belichenko
Russian Federation
Moscow
Competing Interests: конфликты отсутствуют
N. M. Fedotov
Research and Production Company Biotok
Russian Federation
Tomsk
Competing Interests: конфликты отсутствуют
References
1. Sedykh D.Yu., Kazantsev A.H., Tarasov R.S., Kashtalap V.V., Volkov A.N., Grachev K.I., Shabaev A.R., Barbarash O.L. Predictors of prograssive multifocal atherosclerosis in patients underwent myocardial infarction. Kardiologiya 2019; 59(5): 36 -44. DOI: 10.18087/cardio.2019.5.10257. (Russ)
2. Balanova Yu.A., Kontsevaya A.V., Imaeva A.E., Karpov O.I., Khudyakov M.B. Economic losses due to low involvement of patients with cardiovascular pathology to hypolidaemic therapy, in Russian Federation. Ratsionalnaya therapiya v kardiologii. 2018; 14(5); 716-724. (Russ)
3. Sinitsyn V.E., Ternovoy S.K., Ustyuzhanin D.V., Veselova T.N., Matchin Yu.G. Dignostic value of CT-coronarography in detection of hemodynamically significant stenoses of coronary arteries. Kardiologiya . 2008; 48(1): 9-14. (Russ.).
4. Bobrikova E.E., Maksimova A.S., Plotnikova M.P., Kuznetsov M.S., Rebenkova M.S., Shelupanov A.A., Trubacheva I.A., Sverbeeva M.G., Ussov W.Yu. Complex magnetic resonance tomographic study of carotid arteries and brain in screening of high0risc carotid stenoses. Sib.Med.Journal(Tomsk). 2015; 30(4): 49-56. (Russ.)
5. Saxena A, Ng EYK, Lim ST. Imaging modalities to diagnose carotid artery stenosis: progress and prospect. Biomed Eng Online. 2019; 18(1): 66-73. doi: 10.1186/s12938-019-0685-7.
6. Ho SS. Current status of carotid ultrasound in atherosclerosis. Quant Imaging Med Surg. 2016; 6(3): 285-296. doi: 10.21037/qims.2016.05.03.
7. Brinjikji W, Huston J, Rabinstein AA, Kim GM, Lerman A, Lanzino G. Contemporary carotid imaging: from degree of stenosis to plaque vulnerability. J Neurosurg. 2016; 124(1): 27-42. doi: 10.3171/2015.1.JNS142452.
8. Alexandrov AV. Ultrasound and angiography in the selection of patients for carotid endarterectomy. Curr Cardiol Rep. 2003; 5(2): 141-147.
9. Muscari A, Bonfiglioli A, Magalotti D, Puddu GM, Zorzi V, Zoli M. Prognostic significance of carotid and vertebral ultrasound in ischemic stroke patients. Brain Behav. 2016; 6(6):e00475. doi: 10.1002/brb3.475.
10. Levtov V.A., Regirer S.A., Shadrina N.Kh. Rheology of the blood. M.Medisina Publ. 1982. 270 P. (Russ.).
11. Purinya B.A., Kasyanov V.A. Biomechanics of large blood vessels of man. Riga: Zinatne Publ., 1980. 260 P. (Russ.).
12. Pedly T. Haemodynamic of large blood vessels. Moscow. Mir Publ.Vo., 1983. 400 P.
13. Pavlova O.E., Ivanov D.V., Gramakova A.A., Morozov K.M., Suslov I.I. Haemodynamic and mechanic behaviour of bifurcation of the carotid artery with pathologic kinking. Izv.Saratov Univ. 2010; 10(Ser. Mathematics-Mechanics-Informatics)(2):. 66 — 81.(Russ.).
14. Dharmarajah B, Thapar A, Salem J, Lane TR, Leen EL, Davies AH. Impact of risk scoring on decision-making in symptomatic moderate carotid atherosclerosis. Br J Surg. 2014; 101(5): 475-480. doi: 10.1002/bjs.9461.
15. Hosoda K. The Significance of Cerebral Hemodynamics Imaging in Carotid Endarterectomy: A Brief Review. Neurol.Med. Chir. (Tokyo). 2015; 55: 782–788
16. Zadneprovskij V.F., Talalaev A.A., Tishchenko I.P., Fralenko V.P., Khachumov V.M. Software-hardware complex of high efficient processing of images of medical and industrial application. Informatsionnye technologii I vychislitelnye sistemy. 2014; .(1): 61-72. (Russ.).
17. Karmazikov Yu.V., Fainberg E.M. Studies of processes of receiving and analysis of digital medical images in hardware-software complexes employed for diagnosis and treatment of various diseases. Technologii priborostroeniya. 2004; (3): 55-61. (Russ.).
18. Ilyasova N.Yu. Systems for computer analysis of geometric charactristics of diagnostic images of blood vessels. Izvestiya Samarskogo nauchnogo centra Rossijskoi Akademii nauk. 2014; 16(4): 54-62. (Russ.).
19. Matkevich E.I., Sinitsyn V.E., Ivanov I.V. Educational Internet resources for radiologists. Medisinskaya radiologiya I radiatsyonnaya bezopastnost. 2019; 64(1): 58-66. (Russ).
20. Vetsheva N.N., Fisenko E.P., Stepanova Yu.A., Kamalov Yu.R., Timchina I.E., Kiseleva T.N., Zhestovskaya S.I. Ultrasonic studies with contrst enhancement: terminologic descriptions, technical and methodological aspects. Meditsinskaya vizualizatsiya. 2016; (4): 132 – 140. (Russ).
Review
For citations:
Ussov W.Yu., Maksimova A.S., Sinitsyn V.E., Karas S.I., Bobrikova E.E., Yaroshevsky S.P., Belichenko O.I., Fedotov N.M. Gradient of luminal narrowing of internal carotid artery on atherosclerotic plaque as risk factor for cerebral ischemic damage. Russian Journal of Cardiology. 2019;(12):62-69. (In Russ.) https://doi.org/10.15829/1560-4071-2019-12-62-69