OBJECTIVE: To determine the influence of carotid plaque morphology and severity of stenosis on symptoms of cerebrovascular disease and cerebral infarction. PATIENTS AND METHODS: One hundred and ninety patients with 329 carotid plaques producing 50-99% stenosis were studied. Carotid plaque echogenicity on ultrasonography was evaluated using computerised measurement of the median of the overall grey scale content (GSM). Heterogeneity was evaluated as the difference between the GSMs of the most echogenic and the most echolucent areas within each plaque and expressed as the heterogeneity index (HI). All patients had a CT brain scan and the presence of ipsilateral cerebral infarction noted. RESULTS: Cerebral infarction was more common in symptomatic than asymptomatic plaques (42% vs. 29%, p<0.02) and in echolucent than echogenic plaques (mean GSM of 37.8 vs. 29.7, p<0.01). Plaques with GSM below or equal to 32 were associated with a higher incidence of cerebral infarction as compared to those above this level, this was significant in both symptomatic and asymptomatic plaques. Symptomatic carotid plaque were less heterogenous than asymptomatic plaques. Plaques associated with cerebral infarction were less heterogenous than those not associated with infarction. CONCLUSION: This study has shown that the identification of the high risk carotid plaques, i.e. those associated with a high incidence of cerebral infarction is possible both in symptomatic and asymptomatic patients. The potential of such analysis in the identification of patients with asymptomatic carotid stenosis with high and low risk of stroke should be explored in a natural history study.
OBJECTIVE: To determine the influence of carotid plaque morphology and severity of stenosis on symptoms of cerebrovascular disease and cerebral infarction. PATIENTS AND METHODS: One hundred and ninety patients with 329 carotid plaques producing 50-99% stenosis were studied. Carotid plaque echogenicity on ultrasonography was evaluated using computerised measurement of the median of the overall grey scale content (GSM). Heterogeneity was evaluated as the difference between the GSMs of the most echogenic and the most echolucent areas within each plaque and expressed as the heterogeneity index (HI). All patients had a CT brain scan and the presence of ipsilateral cerebral infarction noted. RESULTS:Cerebral infarction was more common in symptomatic than asymptomatic plaques (42% vs. 29%, p<0.02) and in echolucent than echogenic plaques (mean GSM of 37.8 vs. 29.7, p<0.01). Plaques with GSM below or equal to 32 were associated with a higher incidence of cerebral infarction as compared to those above this level, this was significant in both symptomatic and asymptomatic plaques. Symptomatic carotid plaque were less heterogenous than asymptomatic plaques. Plaques associated with cerebral infarction were less heterogenous than those not associated with infarction. CONCLUSION: This study has shown that the identification of the high risk carotid plaques, i.e. those associated with a high incidence of cerebral infarction is possible both in symptomatic and asymptomatic patients. The potential of such analysis in the identification of patients with asymptomatic carotid stenosis with high and low risk of stroke should be explored in a natural history study.
Authors: J J Connors; D Seidenwurm; J C Wojak; R W Hurst; M E Jensen; R Wallace; T Tomsick; J Barr; C Kerber; E Russell; G M Nesbit; A J Fox; F Y Tsai Journal: AJNR Am J Neuroradiol Date: 2000-03 Impact factor: 3.825
Authors: Manuel López-Alcaraz; Pedro Manuel Garamendi González; Inmaculada Alemán Aguilera; Miguel Botella López Journal: Int J Legal Med Date: 2013-08-25 Impact factor: 2.686
Authors: Manuel López-Alcaraz; Pedro Manuel Garamendi González; Inmaculada Alemán Aguilera; Miguel Botella López Journal: Int J Legal Med Date: 2014-07-02 Impact factor: 2.686
Authors: Mohamed Ouhlous; H Zwenneke Flach; Thomas T de Weert; Johanna M Hendriks; Marc R H M van Sambeek; Diederik W J Dippel; Peter M T Pattynama; Aad van der Lugt Journal: AJNR Am J Neuroradiol Date: 2005-05 Impact factor: 3.825
Authors: Aditya M Sharma; Ajay Gupta; P Krishna Kumar; Jeny Rajan; Luca Saba; Ikeda Nobutaka; John R Laird; Andrew Nicolades; Jasjit S Suri Journal: Curr Atheroscler Rep Date: 2015-09 Impact factor: 5.113
Authors: Max Wintermark; Sandeep Arora; Elizabeth Tong; Eric Vittinghoff; Benison C Lau; Jeffrey D Chien; William P Dillon; David Saloner Journal: Ann Neurol Date: 2008-08 Impact factor: 10.422
Authors: Luca Saba; Mainak Biswas; Harman S Suri; Klaudija Viskovic; John R Laird; Elisa Cuadrado-Godia; Andrew Nicolaides; N N Khanna; Vijay Viswanathan; Jasjit S Suri Journal: Cardiovasc Diagn Ther Date: 2019-10