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Zedde M, Napoli M, Grisendi I, Assenza F, Moratti C, Valzania F, Pascarella R. CT Perfusion in Lacunar Stroke: A Systematic Review. Diagnostics (Basel) 2023; 13:1564. [PMID: 37174955 PMCID: PMC10177869 DOI: 10.3390/diagnostics13091564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 04/07/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND The main theory underlying the use of perfusion imaging in acute ischemic stroke is the presence of a hypoperfused volume of the brain downstream of an occluded artery. Indeed, the main purpose of perfusion imaging is to select patients for endovascular treatment. Computed Tomography Perfusion (CTP) is the more used technique because of its wide availability but lacunar infarcts are theoretically outside the purpose of CTP, and limited data are available about CTP performance in acute stroke patients with lacunar stroke. METHODS We performed a systematic review searching in PubMed and EMBASE for CTP and lacunar stroke with a final selection of 14 papers, which were examined for data extraction and, in particular, CTP technical issues and sensitivity, specificity, PPV, and NPV values. RESULTS A global cohort of 583 patients with lacunar stroke was identified, with a mean age ranging from 59.8 to 72 years and a female percentage ranging from 32 to 53.1%.CTP was performed with different technologies (16 to 320 rows), different post-processing software, and different maps. Sensitivity ranges from 0 to 62.5%, and specificity from 20 to 100%. CONCLUSIONS CTP does not allow to reasonable exclude lacunar infarct if no perfusion deficit is found, but the pathophysiology of lacunar infarct is more complex than previously thought.
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Affiliation(s)
- Marialuisa Zedde
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (I.G.)
| | - Manuela Napoli
- Neuroradiology Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (M.N.)
| | - Ilaria Grisendi
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (I.G.)
| | - Federica Assenza
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (I.G.)
| | - Claudio Moratti
- Neuroradiology Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (M.N.)
| | - Franco Valzania
- Neurology Unit, Stroke Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (I.G.)
| | - Rosario Pascarella
- Neuroradiology Unit, AUSL-IRCCS di Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy; (M.N.)
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Qiu F, Chen C, Fan Z, Qiu J, Chen Q, Shao B. White Matter Hypoperfusion Associated with Leukoaraiosis Predicts Intracranial Hemorrhage after Intravenous Thrombolysis. J Stroke Cerebrovasc Dis 2020; 30:105528. [PMID: 33307291 DOI: 10.1016/j.jstrokecerebrovasdis.2020.105528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES White matter hyperintensity is common in patients receiving intravenous thrombolysis. Some studies have expressed concern about the increased risk of hemorrhagic transformation and poor prognosis for those patients with pre-existing leukoaraiosis. The purpose of this study was to evaluate hypoperfusion associated with leukoaraiosis before thrombolysis using CT perfusion and to explore whether chronic white matter hypoperfusion increases risks of intracranial hemorrhage and poor clinical prognosis. MATERIALS AND METHODS We collected 175 patients underwent intravenous thrombolysis with complete CT perfusion data and follow-up MRI between June 2017 and January 2020. We measured cerebral blood flow, cerebral blood volume, mean transit time and transit time to the peak at both periventricular and subcortical layers in the cerebral hemisphere contralateral to the stroke. The differences of white matter perfusion were compared between groups with different leukoaraiosis severity. Univariate analysis was used to compare in incidence of hemorrhagic transformation and poor prognosis between the hypoperfusion and normal perfusion groups. Further, we examined association between white matter hypoperfusion and intracranial hemorrhage after thrombolysis using logistic regression. RESULTS The length of periventricular transit time to the peak was independently associated with a higher risk of intracranial hemorrhage after thrombolysis (OR=4.740, 95%CI=1.624-13.837, P=0.004). The best predictive value was 4.012. But there was no significant difference in poor prognosis at 3 months between hypoperfusion (periventricular transit time to the peak≥4.012 s) and normal perfusion (periventricular transit time to the peak<4.012 s) group. CONCLUSIONS Image presentations of white matter hypoperfusion reflected the severity of leukoaraiosis. White matter hypoperfusion was independently associated with intracranial hemorrhage after intravenous thrombolysis. However, hypoperfusion would not increase the risk of poor prognosis.
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Affiliation(s)
- Fengzhen Qiu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Cuiping Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Zijian Fan
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Jiayou Qiu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Qitao Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Bei Shao
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
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Rudilosso S, Laredo C, Vivancos C, Urra X, Llull L, Renú A, Obach V, Zhao Y, Moreno JL, Lopez-Rueda A, Amaro S, Chamorro Á. Leukoaraiosis May Confound the Interpretation of CT Perfusion in Patients Treated with Mechanical Thrombectomy for Acute Ischemic Stroke. AJNR Am J Neuroradiol 2019; 40:1323-1329. [PMID: 31345941 DOI: 10.3174/ajnr.a6139] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 06/19/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Leukoaraiosis frequently coexists in patients with acute stroke. We studied whether leukoaraiosis could confound the interpretation of CTP findings in patients treated with mechanical thrombectomy. MATERIALS AND METHODS We analyzed 236 patients with stroke treated with mechanical thrombectomy and studied with CTP, of whom 127 (53.8%) achieved complete reperfusion. Periventricular white matter hyperintensities on MR imaging and hypodensities on NCCT were assessed through the Fazekas score. CTP-predicted nonviable tissue was defined as relative CBF <30%, and final infarct volume was quantified in DWI. We estimated mean MTT, CBV, and CBF in the asymptomatic hemisphere. In patients achieving complete reperfusion, we assessed the accuracy of nonviable tissue to predict final infarct volume using the intraclass correlation coefficient across periventricular hyperintensity/hypodensity Fazekas scores and variable relative CBF cutoffs. RESULTS MTT was longer (Spearman ρ = 0.279, P < .001) and CBF was lower (ρ = -0.263, P < .001) as the periventricular hyperintensity Fazekas score increased, while CBV was similar across groups (ρ = -0.043, P = .513). In the subgroup of patients achieving complete reperfusion, nonviable tissue-final infarct volume reliability was excellent in patients with periventricular hyperintensity Fazekas score grade 0 (intraclass correlation coefficient, 0.900; 95% CI, 0.805-0.950), fair in patients with periventricular hyperintensity Fazekas scores 1 (intraclass correlation coefficient, 0.569; 95% CI, 0.327-0.741) and 2 (intraclass correlation coefficient, 0.444; 95% CI, 0.165-0.657), and poor in patients with periventricular hyperintensity Fazekas score 3 (intraclass correlation coefficient, 0.310; 95% CI, -0.359-0.769). The most accurate cutoffs were relative CBF <30% for periventricular hyperintensity Fazekas score grades 0 and 1, relative CBF <25% for periventricular hyperintensity Fazekas score 2, and relative CBF <20% for periventricular hyperintensity Fazekas score 3. The reliability analysis according to periventricular hypodensity Fazekas score grades on NCCT was similar to that in follow-up MR imaging. CONCLUSIONS In patients with stroke, the presence of leukoaraiosis confounds the interpretation of CTP despite proper adjustment of CBF thresholds.
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Affiliation(s)
- S Rudilosso
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - C Laredo
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - C Vivancos
- Neurosurgery Service (C.V.), Universitary Hospital La Paz, Madrid, Spain
| | - X Urra
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - L Llull
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - A Renú
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - V Obach
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Y Zhao
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - J L Moreno
- Department of Radiology (J.L.M., A.L.-R.), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - A Lopez-Rueda
- Department of Radiology (J.L.M., A.L.-R.), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - S Amaro
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Á Chamorro
- From the Department of Neuroscience (S.R., C.L., X.U., L.L., A.R., V.O., Y.Z., S.A., Á.C.)., Comprehensive Stroke Center, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain .,Medicine Department (Á.C.), School of Medicine, University of Barcelona, Barcelona, Spain
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Shi Y, Thrippleton MJ, Makin SD, Marshall I, Geerlings MI, de Craen AJM, van Buchem MA, Wardlaw JM. Cerebral blood flow in small vessel disease: A systematic review and meta-analysis. J Cereb Blood Flow Metab 2016; 36:1653-1667. [PMID: 27496552 PMCID: PMC5076792 DOI: 10.1177/0271678x16662891] [Citation(s) in RCA: 235] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 07/08/2016] [Indexed: 11/15/2022]
Abstract
White matter hyperintensities are frequent on neuroimaging of older people and are a key feature of cerebral small vessel disease. They are commonly attributed to chronic hypoperfusion, although whether low cerebral blood flow is cause or effect is unclear. We systematically reviewed studies that assessed cerebral blood flow in small vessel disease patients, performed meta-analysis and sensitivity analysis of potential confounders. Thirty-eight studies (n = 4006) met the inclusion criteria, including four longitudinal and 34 cross-sectional studies. Most cerebral blood flow data were from grey matter. Twenty-four cross-sectional studies (n = 1161) were meta-analysed, showing that cerebral blood flow was lower in subjects with more white matter hyperintensity, globally and in most grey and white matter regions (e.g. mean global cerebral blood flow: standardised mean difference-0.71, 95% CI -1.12, -0.30). These cerebral blood flow differences were attenuated by excluding studies in dementia or that lacked age-matching. Four longitudinal studies (n = 1079) gave differing results, e.g., more baseline white matter hyperintensity predated falling cerebral blood flow (3.9 years, n = 575); cerebral blood flow was low in regions that developed white matter hyperintensity (1.5 years, n = 40). Cerebral blood flow is lower in subjects with more white matter hyperintensity cross-sectionally, but evidence for falling cerebral blood flow predating increasing white matter hyperintensity is conflicting. Future studies should be longitudinal, obtain more white matter data, use better age-correction and stratify by clinical diagnosis.
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Affiliation(s)
- Yulu Shi
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom Department of Neurology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen D Makin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Mirjam I Geerlings
- University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Anton J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Centre, Leiden, Netherlands
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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