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      The value of transcranial Doppler derived pulsatility index for diagnosing cerebral small-vessel disease

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          Abstract

          Background:

          The pulsatility index (PI), measured by transcranial Doppler (TCD) ultrasonography, can reflect vascular resistance induced by cerebral small-vessel disease (SVD). We evaluated the value of TCD-derived PI for diagnosing SVD as compared with magnetic resonance imaging (MRI).

          Materials and Methods:

          Fifty-six consecutive cases with SVD (based on MRI) and 48 controls with normal MRI underwent TCD. Based on MRI findings, patients were categorized into five subgroups of preventricular hyperintensity (PVH), deep white matter hyperintensity (DWMH), lacunar, pontin hyperintensity (PH), and PVH+DWMH+lacunar. The sensitivity and specificity of TCD in best PI cut-off points were calculated in each group.

          Results:

          The sensitivity and specificity of TCD in comparison with MRI with best PI cut-off points were as follows: In PVH with PI = 0.83, the sensitivity and specificity was 90% and 98%, respectively. In DWMH with PI = 0.79, the sensitivity and specificity was 75% and 87.5%, respectively. In lacunar with PI = 0.80, the sensitivity and specificity was 73% and 90%, respectively. In PH with PI = 0.69, the sensitivity and specificity was 92% and 87.5%, respectively. And, in PVH+DWMH+lacunar subgroup with PI = 0.83, the sensitivity and specificity was 90% and 96%, respectively.

          Conclusions:

          Increased TCD derived PI can accurately indicate the SVD. Hence, TCD can be used as a non-invasive and inexpensive method for diagnosing SVD, and TCD-derived PI can be considered as a physiologic index of the disease as well.

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          Most cited references19

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          • Article: found

          Classification of Stroke Subtypes

          This article reviews published stroke subtype classification systems and offers rules and a basis for a new way to subtype stroke patients. Stroke subtyping can have different purposes, e.g. describing patients’ characteristics in a clinical trial, grouping patients in an epidemiological study, careful phenotyping of patients in a genetic study, and classifying patients for therapeutic decision-making in daily practice. The classification should distinguish between ischemic and hemorrhagic stroke, subarachnoid hemorrhage, cerebral venous thrombosis, and spinal cord stroke. Regarding the 4 main categories of etiologies of ischemic stroke (i.e. atherothrombotic, small vessel disease, cardioembolic, and other causes), the classification should reflect the most likely etiology without neglecting the vascular conditions that are also found (e.g. evidence of small vessel disease in the presence of severe large vessel obstructions). Phenotypes of large cohorts can also be characterized by surrogate markers or intermediate phenotypes (e.g. presence of internal carotid artery plaque, intima-media thickness of the common carotid artery, leukoaraiosis, microbleeds, or multiple lacunae). Parallel classifications (i.e. surrogate markers) may serve as within-study abnormalities to support research findings.
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            Lacunar strokes and infarcts: a review.

            C M Fisher (1982)
            At least 20 different lacunar syndromes have been described and can be recognized by characteristic clinical features. Almost all occur in patients with hypertension. Small lacunes are usually due to lipohyalinosis, larger ones to atheromatous or embolic occlusion of a penetrating vessel. The concept of the "lacunar state" is examined in the light of recent knowledge with the conclusion that the clinical deficit is primarily related to unrecognized normal pressure hydrocephalus rather than to the presence of a few lacunes. The notion that lacunes occur haphazardly is criticized because the first or only lacune tends to be symptomatic. The incidence of cerebral lacunes has declined since the introduction of antihypertensive therapy, an indication that therapy is effective.
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              Arterial assessment by Doppler-shift ultrasound.

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                Author and article information

                Journal
                Adv Biomed Res
                Adv Biomed Res
                ABR
                Advanced Biomedical Research
                Medknow Publications & Media Pvt Ltd (India )
                2277-9175
                2015
                17 February 2015
                : 4
                : 54
                Affiliations
                [1]Department of Neurology, Isfahan Neuroscience Research Center, Medical Students’ Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
                Author notes
                Address for correspondence: Dr. Abbas Ghorbani, Department of Neurology, Alzahra Hospital, Soffeh Avenue, Isfahan - 81848 16383, Iran. E-mail: ghorbani@ 123456med.mui.ac.ir
                Article
                ABR-4-54
                10.4103/2277-9175.151574
                4361964
                25802823
                74f764f9-37ac-48b9-92e9-8438d3603050
                Copyright: © 2015 Ghorbani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 07 July 2012
                : 17 August 2014
                Categories
                Original Article

                Molecular medicine
                cerebral small-vessel disease,diagnosis,pulsatility index,small-vessel disease,transcranial doppler ultrasonography,vascular resistance

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