BACKGROUND: Patients with symptomatic carotid artery stenosis are at high risk for recurrent stroke. To date, the decision to perform carotid endarterectomy in patients with a recent cerebrovascular event is mainly based on degree of stenosis of the ipsilateral carotid artery. However, additional atherosclerotic plaque characteristics might be better predictors of stroke, allowing for more precise selection of patients for carotid endarterectomy. AIMS AND HYPOTHESIS: We investigate the hypothesis that the assessment of carotid plaque characteristics with magnetic resonance imaging, multidetector-row computed tomography angiography, ultrasonography, and transcranial Doppler, either alone or in combination, may improve identification of a subgroup of patients with < 70% carotid artery stenosis with an increased risk of recurrent stroke. METHODS: The Plaque At RISK (PARISK) study is a prospective multicenter cohort study of patients with recent (<3 months) neurological symptoms due to ischemia in the territory of the carotid artery and < 70% ipsilateral carotid artery stenosis who are not scheduled for carotid endarterectomy or stenting. At baseline, 300 patients will undergo magnetic resonance imaging, multidetector-row computed tomography angiography, and ultrasonography examination of the carotid arteries. In addition, magnetic resonance imaging of the brain, ambulatory transcranial Doppler recording of the middle cerebral artery and blood withdrawal will be performed. After two-years, imaging will be repeated in 150 patients. All patients undergo a follow-up brain magnetic resonance imaging, and there will be regular clinical follow-up until the end of the study. STUDY OUTCOMES: The combined primary end-point contains ipsilateral recurrent ischemic stroke or transient ischemic attack or new ipsilateral ischemic brain lesions on follow-up brain magnetic resonance imaging.
BACKGROUND:Patients with symptomatic carotid artery stenosis are at high risk for recurrent stroke. To date, the decision to perform carotid endarterectomy in patients with a recent cerebrovascular event is mainly based on degree of stenosis of the ipsilateral carotid artery. However, additional atherosclerotic plaque characteristics might be better predictors of stroke, allowing for more precise selection of patients for carotid endarterectomy. AIMS AND HYPOTHESIS: We investigate the hypothesis that the assessment of carotid plaque characteristics with magnetic resonance imaging, multidetector-row computed tomography angiography, ultrasonography, and transcranial Doppler, either alone or in combination, may improve identification of a subgroup of patients with < 70% carotid artery stenosis with an increased risk of recurrent stroke. METHODS: The Plaque At RISK (PARISK) study is a prospective multicenter cohort study of patients with recent (<3 months) neurological symptoms due to ischemia in the territory of the carotid artery and < 70% ipsilateral carotid artery stenosis who are not scheduled for carotid endarterectomy or stenting. At baseline, 300 patients will undergo magnetic resonance imaging, multidetector-row computed tomography angiography, and ultrasonography examination of the carotid arteries. In addition, magnetic resonance imaging of the brain, ambulatory transcranial Doppler recording of the middle cerebral artery and blood withdrawal will be performed. After two-years, imaging will be repeated in 150 patients. All patients undergo a follow-up brain magnetic resonance imaging, and there will be regular clinical follow-up until the end of the study. STUDY OUTCOMES: The combined primary end-point contains ipsilateral recurrent ischemic stroke or transient ischemic attack or new ipsilateral ischemic brain lesions on follow-up brain magnetic resonance imaging.
Authors: Raf H M van Hoof; Floris H B M Schreuder; Patty Nelemans; Martine T B Truijman; Narender P van Orshoven; Tobien H Schreuder; Werner H Mess; Sylvia Heeneman; Robert J van Oostenbrugge; Joachim E Wildberger; M Eline Kooi Journal: Cerebrovasc Dis Date: 2017-09-26 Impact factor: 2.762
Authors: G A J C Crombag; M Aizaz; F H B M Schreuder; F Benali; D H K van Dam-Nolen; M I Liem; C Lucci; A F van der Steen; M J A P Daemen; W H Mess; A van der Lugt; P J Nederkoorn; J Hendrikse; P A M Hofman; R J van Oostenbrugge; J E Wildberger; M E Kooi Journal: AJNR Am J Neuroradiol Date: 2022-02 Impact factor: 3.825
Authors: Savino Cilla; Gabriella Macchia; Jacopo Lenkowicz; Elena H Tran; Antonio Pierro; Lella Petrella; Mara Fanelli; Celestino Sardu; Alessia Re; Luca Boldrini; Luca Indovina; Carlo Maria De Filippo; Eugenio Caradonna; Francesco Deodato; Massimo Massetti; Vincenzo Valentini; Pietro Modugno Journal: Radiol Med Date: 2022-06-09 Impact factor: 6.313
Authors: A C van Dijk; M T B Truijman; B Hussain; T Zadi; G Saiedie; A A J de Rotte; M I Liem; A F W van der Steen; M J A P Daemen; P J Koudstaal; P J Nederkoorn; J Hendrikse; M E Kooi; A van der Lugt Journal: AJNR Am J Neuroradiol Date: 2015-08-06 Impact factor: 3.825
Authors: Harm A Nieuwstadt; Zaid A M Kassar; Aad van der Lugt; Marcel Breeuwer; Anton F W van der Steen; Jolanda J Wentzel; Frank J H Gijsen Journal: PLoS One Date: 2015-04-09 Impact factor: 3.240
Authors: K Dilba; D H K van Dam-Nolen; A C van Dijk; M Kassem; A F W van der Steen; P J Koudstaal; P J Nederkoorn; J Hendrikse; M E Kooi; J J Wentzel; A van der Lugt Journal: AJNR Am J Neuroradiol Date: 2020-11-19 Impact factor: 3.825