A novel ultrasound-based carotid plaque risk index associated with the presence of cerebrovascular symptoms

Ultraschall in der Medizin

Volumn 36, Issue 5, 2015, Pages 480-486

  Kanber, B ^a   Hartshorne, T C ^b   Horsfield, M A ^a   Naylor, A R ^b   Robinson, T G ^a   Ramnarine, K V ^b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b UNIVERSITY HOSPITALS OF LEICESTER NHS TRUST   (United Kingdom)

Author keywords

carotid plaque; CPRI; risk index

Indexed keywords

AGED; ARTERIAL WALL THICKNESS; CAROTID ARTERY OBSTRUCTION; CEREBROVASCULAR ACCIDENT; COLOR DOPPLER FLOWMETRY; COMPUTER ASSISTED DIAGNOSIS; CROSS-SECTIONAL STUDY; ECHOGRAPHY; FEMALE; HUMAN; LONGITUDINAL STUDY; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; PROCEDURES; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TRANSIENT ISCHEMIC ATTACK; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CAROTID INTIMA-MEDIA THICKNESS; CAROTID STENOSIS; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; ISCHEMIC ATTACK, TRANSIENT; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STROKE; ULTRASONOGRAPHY, DOPPLER, COLOR;

EID: 84938487774     PISSN: 01724614     EISSN: 14388782     Source Type: Journal    
DOI: 10.1055/s-0034-1385462     Document Type: Article

References (39)

1. European Carotid Surgery Trialists' Collaborative Group MRC European Carotid Surgery Trial: interim results for symptomatic patients with severe (70-99%) or with mild (0-29%) carotid stenosis. Lancet: 1991; 337 1235 1243
2. North American Symptomatic Carotid Endarterectomy Trial Collaborators Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. The New England Journal of Medicine: 1991; 325 445 453
3. Naylor A. R. Time to rethink management strategies in asymptomatic carotid artery disease. Nature Reviews Cardiology: 2012; 9 116 124
4. Kanber B., Hartshorne T. C., Horsfield M. A. et al. Dynamic variations in the ultrasound greyscale median of carotid artery plaques. Cardiovascular Ultrasound: 2013; 11 21
5. Kanber B., Hartshorne T. C., Horsfield M. A. et al. Quantitative assessment of carotid plaque surface irregularities and correlation to cerebrovascular symptoms. Cardiovascular Ultrasound: 2013; 11 38
6. Aburahma A. F., Kyer P. D., Robinson P. A. et al. The correlation of ultrasonic carotid plaque morphology and carotid plaque hemorrhage: clinical implications. Surgery: 1998; 124 n721 n 726
7. Aburahma A. F., Covelli M. A., Robinson P. A. et al. The role of carotid duplex ultrasound in evaluating plaque morphology: potential use in selecting patients for carotid stenting. Journal of Endovascular Surgery: 1999; 6 59 65
8. Kessler C., Von Maravic M., Brückmann H. et al. Ultrasound for the assessment of the embolic risk of carotid plaques. Acta Neurologica Scandinavica: 1995; 92 231 234
9. Pedro L. M., Pedro M. M., Gonçalves I. et al. Computer-assisted carotid plaque analysis: characteristics of plaques associated with cerebrovascular symptoms and cerebral infarction. European Journal of Vascular and Endovascular Surgery: 2000; 19 118 123
10. Carra G., Visonà A., Bonanome A. et al. Carotid plaque morphology and cerebrovascular events. International Angiology: 2003; 22 284 289
11. Ding S., Zhang M., Zhao Y. et al. The role of carotid plaque vulnerability and inflammation in the pathogenesis of acute ischemic stroke. American Journal of the Medical Sciences: 2008; 336 27 31
12. Golledge J., Cuming R., Ellis M. et al. Carotid plaque characteristics and presenting symptom. British Journal of Surgery: 1998; 84 1697 1701
13. Steinke W., Hennerici M., Rautenberg W. et al. Symptomatic and asymptomatic high-grade carotid stenoses in Doppler color-flow imaging. Neurology: 1992; 42 131 138
14. Prabhakaran S., Rundek T., Ramas R. et al. Carotid plaque surface irregularity predicts ischemic stroke: the northern Manhattan study. Stroke: 2006; 37 2696 2701
15. Biasi G. M., Sampaolo A., Mingazzini P. et al. Computer analysis of ultrasonic plaque echolucency in identifying high risk carotid bifurcation lesions. European Journal of Vascular and Endovascular Surgery: 1999; 17 476 479
16. Elatrozy T., Nicolaides A., Tegos T. et al. The objective characterisation of ultrasonic carotid plaque features. European Journal of Vascular and Endovascular Surgery: 1998; 16 223 230
17. Gronholdt M. L., Nordestgaard B. G., Schroeder T. V. et al. Ultrasonic echolucent carotid plaques predict future strokes. Circulation: 2001; 104 68 73
18. Polak J. F., Shemanski L., Leary D. H. et al. Hypoechoic plaque at US of the carotid artery: an independent risk factor for incident stroke in adults aged 65 years or older. Cardiovascular Health Study. Radiology: 1998; 208 649 654
19. Tegos T. J., Stavropoulos P., Sabetai M. M. et al. Determinants of carotid plaque instability: echoicity versus heterogeneity. European Journal of Vascular and Endovascular Surgery: 2001; 22 22 30
20. Salem M. K., Sayers R. D., Bown M. J. et al. Patients with recurrent ischaemic events from carotid artery disease have a large lipid core and low GSM. European Journal of Vascular and Endovascular Surgery: 2012; 43 147 153
21. Ruiz-ares G., Fuentes B., Martínez-sánchez P. et al. Utility of the assessment of echogenicity in the identification of symptomatic carotid artery atheroma plaques in ischemic stroke patients. Cerebrovascular Diseases: 2012; 32 535 541
22. Hoogi A., Akkus Z., Van Oord D. et al. Quantitative analysis of ultrasound contrast flow behavior in carotid plaque neovasculature. Ultrasound in Medicine & Biology: 2013; 38 2072 2083
23. Prati P., Tosetto A., Casaroli M. et al. Carotid plaque morphology improves stroke risk prediction: usefulness of a new ultrasonographic score. Cerebrovascular Diseases: 2011; 31 300 304
24. Momjian-mayor I., Kuzmanovic I., Momjian S. et al. Accuracy of a novel risk index combining degree of stenosis of the carotid artery and plaque surface echogenicity. Stroke: 2012; 43 1260 1265
25. Pedro L. M., Fernandes J., Pedro M. M. et al. Ultrasonographic risk score of carotid plaques. European Journal of Vascular and Endovascular Surgery: 2002; 24 492 498
26. Afonso D., Seabra J., Suri J. S. et al. A CAD system for atherosclerotic plaque assessment. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.: 2013; 2012 1008 1011
27. Nicolaides A. N., Kakkos S. K., Kyriacou E. et al. Asymptomatic internal carotid artery stenosis and cerebrovascular risk stratification. Journal of Vascular Surgery: 2010; 52 1486 1496
28. Kyriacou E., Nicolaides A., Pattichis C. S. et al. First and second order statistical texture features in carotid plaque image analysis: preliminary results from ongoing research. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.: 2012; 2011 6655 6658
29. Mayor I., Momjian S., Lalive P. et al. Carotid plaque: comparison between visual and grey-scale median analysis. Ultrasound in Medicine & Biology: 2003; 29 961 966
30. Grant E. G., Benson C. B., Moneta G. L. et al. Carotid artery stenosis: gray-scale and Doppler US diagnosis - Society of Radiologists in Ultrasound Consensus Conference. Radiology: 2003; 229 340 346
31. Oates C. P., Naylor A. R., Hartshorne T. et al. Joint recommendations for reporting carotid ultrasound investigations in the United Kingdom. European Journal of Vascular and Endovascular Surgery: 2008; 37 251 261
32. Piliouras N., Kalatzis I., Theocharakis P. et al. Development of the probabilistic neural networkraphic characterization and identification of symptomatic carotid plaques. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society: 2011; 2010 6110 6113
33. Kyriacou E. C., Petroudi S., Pattichis C. S. et al. Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features. IEEE Transactions on Information Technology in Biomedicine: 2013; 16 966 973
34. Acharya U. R., Mookiah M. RK, Vinitha Sree S. et al. Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. Medical & Biological Engineering & Computing: 2013; 51 513 523
35. Acharya U. R., Sree S. V., Krishnan M. MR et al. Atherosclerotic risk stratification strategy for carotid arteries using texture-based features. Ultrasound in Medicine & Biology: 2012; 38 899 915
36. Tsiaparas N. N., Golemati S., Andreadis I. et al. Comparison of multiresolution features for texture classification of carotid atherosclerosis from B-mode ultrasound. IEEE Transactions on Information Technology in Biomedicine: 2011; 15 130 137
37. Mougiakakou S. GR, Golemati S., Gousias I. et al. Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws' texture and neural networks. Ultrasound in Medicine & Biology: 2006; 33 26 36
38. Christodoulou C. I., Pattichis C. S., Pantziaris M. et al. Texture-based classification of atherosclerotic carotid plaques. IEEE Transactions on Medical Imaging: 2003; 22 902 912
39. Stoitsis J., Golemati S., Nikita K. S. et al. Characterization of carotid atherosclerosis based on motion and texture features and clustering using fuzzy c-means. Proceedings of the IEEE Engineering in Medicine and Biology Society: 2007; 2 1407 1410