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Wu J, Liu J, Wang J, Li J, Gu S, Yao Y, Xiong H, Li Y. Imaging features of cardioembolic stroke on 4-dimensional computed tomography angiography. Quant Imaging Med Surg 2023; 13:6026-6036. [PMID: 37711776 PMCID: PMC10498211 DOI: 10.21037/qims-23-120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 07/13/2023] [Indexed: 09/16/2023]
Abstract
Background Identifying cardioembolic stroke is important for the decision-making of endovascular treatment and anticoagulation therapy. We aimed to explore the features of cardioembolic stroke on 4-dimensional (4D) computed tomography angiography (4D-CTA) and assess whether these features can assist in classifying stroke etiology. Methods In this retrospective study, we analyzed the images of 294 patients with acute ischemic stroke (AIS) from July 2020 to February 2022 at the First Affiliated Hospital of Chongqing Medical University, which had been consecutively collected. The data of 110 patients with occlusion of the M1/M2 segment of the middle cerebral artery (MCA) with/without intracranial internal carotid artery (ICA) occlusion were analyzed to calculate the clot burden score (CBS) and collateral score (CS), and the data of 88 patients with a clear origin and distal part were analyzed to measure clot length. Maximum intensity projection (MIP) and time MIP (tMIP) post-processing were used to assess the clot features. The Mann-Whitney U test was used to compare the clot characteristics between the 2 groups. Binary logistic regression was performed to assess the association between the image characteristics and cardioembolic stroke. Moreover, the receiver operating characteristic (ROC) curve was used to test the diagnostic efficacy of MIP/tMIP clot features in classifying cardioembolic stroke. Results Age, high-risk factors for cerebrovascular disease, high/medium-risk sources of cardioembolic stroke, clot length, CBS, and CS were significantly different between the cardioembolic stroke group and non-cardioembolic stroke group (P<0.05). In the cardioembolic stroke group, the median MIP and tMIP clot length was 12 mm [interquartile range (IQR), 8.3-17.4 mm] and 9.3 mm (IQR, 6.8-14.3 mm), respectively. In the non-cardioembolic stroke group, the median MIP and tMIP clot length was 6.5 mm (IQR, 4.7-11.5 mm) and 5.8 mm (IQR, 3.9-10.6 mm), respectively. Binary logistic regression showed that cardioembolic stroke was significantly associated with MIP-clot length [odds ratio (OR), 1.15; 95% confidence interval (CI): 1.02-1.29; P<0.05], tMIP-clot length (OR, 1.18; 95% CI: 1.02-1.36; P<0.05), and tMIP-CBS (OR, 3.96; 95% CI: 1.08-14.58; P<0.05). The area under the ROC curve (AUC) values of MIP clot length for identifying cardioembolic stroke were 0.75 (95% CI: 0.65-0.84, P<0.05), with a cut-off value of >7.4 mm [sensitivity: 84.62% (95% CI: 69.50-94.10%); specificity: 59.18% (95% CI: 44.20-73.00%)]. The AUC value of tMIP clot length was 0.72 (95% CI: 0.61-0.81, P<0.05), with a cut-off value of >5.4 mm [sensitivity: 92.31% (95% CI: 79.10-98.40%); specificity: 48.98% (95% CI: 34.40-63.70%)]. Conclusions Clot length and CBS were overestimated on MIP images. Among the clot characteristics, clot length could identify cardioembolic stroke.
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Affiliation(s)
- Jiajing Wu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Radiology, 958th Hospital of the People’s Liberation Army, Chongqing, China
| | - Jiayang Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jingjie Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Sirun Gu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunzhuo Yao
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Xiong
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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2
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Bathla G, Ajmera P, Mehta PM, Benson JC, Derdeyn CP, Lanzino G, Agarwal A, Brinjikji W. Advances in Acute Ischemic Stroke Treatment: Current Status and Future Directions. AJNR Am J Neuroradiol 2023; 44:750-758. [PMID: 37202115 PMCID: PMC10337623 DOI: 10.3174/ajnr.a7872] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 04/03/2023] [Indexed: 05/20/2023]
Abstract
The management of acute ischemic stroke has undergone a paradigm shift in the past decade. This has been spearheaded by the emergence of endovascular thrombectomy, along with advances in medical therapy, imaging, and other facets of stroke care. Herein, we present an updated review of the various stroke trials that have impacted and continue to transform stroke management. It is critical for the radiologist to stay abreast of the ongoing developments to provide meaningful input and remain a useful part of the stroke team.
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Affiliation(s)
- G Bathla
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - P Ajmera
- Department of Radiology (P.A.), University College of Medical Sciences, Delhi, India
| | - P M Mehta
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - J C Benson
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - C P Derdeyn
- Department of Radiology (C.P.D.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - G Lanzino
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - A Agarwal
- Department of Radiology (A.A.), Mayo Clinic, Jacksonville, Florida
| | - W Brinjikji
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
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Aguirre C, Trillo S, Ramos C, Zapata-Wainberg G, Sanz-García A, Ximénez-Carrillo Á, Barbosa A, Caniego JL, Vivancos J. Predictive value of ischemia location on multimodal CT in thrombectomy-treated patients. Neuroradiol J 2023; 36:319-328. [PMID: 36281569 PMCID: PMC10268084 DOI: 10.1177/19714009221128658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2024] Open
Abstract
OBJECTIVE Alberta Stroke Program Early CT Score (ASPECTS) applied to CT-perfusion (CTP) and CT-angiography-source-images (CTA-SI) may improve outcome prediction in large vessel occlusion (LVO) stroke if compared to non-contrast CT (NCCT) alone. Besides, ischemia location may have enhanced capabilities, compared to ischemia volume alone, in predicting stroke outcomes. We aim to evaluate the association between ischemia location as measured by ASPECTS regions in NCCT, CTP maps and CTA-SI and 3 months outcome in patients with LVO treated with mechanical thrombectomy (MT). MATERIAL AND METHODS Consecutive patients with anterior circulation stroke treated with MT were recorded in a prospectively maintained database at a single center. Modified Rankin scale (mRS) at 3 months >2 was considered a poor outcome. Association of patients' characteristics, NCCT, CTP, and CTA-SI parameters with outcome was evaluated using single-variable analysis and binary logistic regression multivariate analysis for each imaging technique. RESULTS 177 patients were included. 115 (65%) patients reached a favorable outcome. The involvement of lenticular, caudate, M1, or M2 in all imaging techniques, insula in NCCT and CTA-SI and M5 in CBV maps and CTA-SI was related to functional outcome in bivariate analysis. However, in the multivariate analysis, none ischemia location was independently related to outcome, no matter the imaging technique studied. This finding remained unchanged when restricted to patients with good recanalization and when analyzing subpopulations according to hemisphere involvement or territories association. CONCLUSIONS Our study suggests ischemia location shouldn't be used solely for decision-making in LVO stroke patients. Its predictive value may be taken in consideration together with other clinical and radiological variables.
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Affiliation(s)
- Clara Aguirre
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
| | - Santiago Trillo
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
| | - Carmen Ramos
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
| | - Gustavo Zapata-Wainberg
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
| | - Ancor Sanz-García
- Data Analysis Unit, Instituto de
Investigación Sanitaria, Hospital Universitario de la
Princesa, Madrid, Spain
| | - Álvaro Ximénez-Carrillo
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
| | - Antonio Barbosa
- Neuroradiology Department, Hospital Universitario de La
Princesa., Madrid, Spain
| | - José L Caniego
- Neuroradiology Department, Hospital Universitario de La
Princesa., Madrid, Spain
| | - José Vivancos
- Stroke Center, Neurology
Department, Instituto de Investigación Sanitaria, Hospital Universitario de La
Princesa, Madrid, Spain
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Dillmann M, Bonnet L, Vuillier F, Moulin T, Biondi A, Charbonnier G. Factors That Influence Susceptibility Vessel Sign in Patients With Acute Stroke Referred for Mechanical Thrombectomy. Front Neurol 2022; 13:893060. [PMID: 35645960 PMCID: PMC9130602 DOI: 10.3389/fneur.2022.893060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/14/2022] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose The presence of a Susceptibility Vessel Sign (SVS) in the acute phase of proximal occlusion ischemic stroke indicates the presence of deoxyhemoglobin in the thrombus. Thrombi composition changes over time. The aim of this study was to investigate whether the absence of SVS is associated with a shorter symptom onset to imaging time. Methods We retrospectively analyzed all patients referred for mechanical thrombectomy at Besançon University Hospital between 1 January 2015 and 31 December 2020 for whom readable T2*-weighted imaging was available. We compared patient characteristics according to the presence or absence of an SVS. We also studied the subgroup for whom the exact symptom onset time was known. We performed a univariate statistical analysis, then a multivariate analysis on the variables that were statistically significant in the univariate analysis. Results Of the 389 patients included, 309 (79.4%) were SVS+. We found no significant relationship between SVS– and the time between symptom onset and imaging in the whole cohort. In the multivariate analysis, SVS– was associated with anticoagulant treatment (p < 0.01), and SVS+ with age (p = 0.023) and carotid terminus occlusion (p = 0.042). In the known symptom onset subgroup, SVS– was significantly associated with a shorter symptom onset -imaging time (p < 0.001), and this was confirmed in the multivariate analysis (p = 0.011; OR 0.911; 95% CI [0.844; 0.972]). Conclusion In the acute phase of proximal occlusion ischemic stroke, absence of SVS was associated with a shorter symptom onset–imaging time for patients with a known symptom onset time.
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Affiliation(s)
- Manon Dillmann
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- *Correspondence: Manon Dillmann
| | - Louise Bonnet
- Neurology Department, University Hospital Centre Besancon, Besançon, France
| | - Fabrice Vuillier
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
| | - Thierry Moulin
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
| | - Alessandra Biondi
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
- Interventional Neuroradiology Department, University Hospital Centre Besancon, Besançon, France
| | - Guillaume Charbonnier
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
- Interventional Neuroradiology Department, University Hospital Centre Besancon, Besançon, France
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LaGrange DD, Wanke I, Machi P, Bernava G, Vargas M, Botta D, Berberat J, Muster M, Platon A, Poletti PA, Lövblad KO. Multimodality Characterization of the Clot in Acute Stroke. Front Neurol 2022; 12:760148. [PMID: 34970209 PMCID: PMC8712945 DOI: 10.3389/fneur.2021.760148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/17/2021] [Indexed: 11/26/2022] Open
Abstract
Aim: Current treatment of occluded cerebral vessels can be done by a variety of endovascular techniques. Sometimes, the clot responds in varying degrees to the treatment chosen. The Ex vivo characterization of the clot occluding the arteries in acute ischemic stroke can help in understanding the underlying imaging features obtained from pre-treatment brain scans. For this reason, we explored the potential of microCT when combined with electron microscopy for clot characterization. Results were compared to the clinical CT findings. Methods: 16 patients (9 males, 8 females, age range 54–93 years) who were referred to our institution for acute stroke underwent dual-source CT. Results: Clinical CT clots were seen as either iso or hyperdense. This was corroborated with micro-CT, and electron microscopy can show the detailed composition. Conclusion: MicroCT values can be used as an indicator for red blood cells-rich composition of clots. Meaningful information regarding the clot composition and modalities of embedding along the stent retrievers can be obtained through a combination of microCT and electron microscopy.
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Affiliation(s)
- Daniela Dumitriu LaGrange
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
| | - Isabel Wanke
- Division of Neuroradiology, Zentrum für Neuroradiologie, Klinik Hirslanden, Zurich, Switzerland.,Swiss Neuroradiology Institute, Zurich, Switzerland.,Division of Neuroradiology, Institute of Diagnostic and Interventional Radiology and Neuroradiology, University of Essen, Essen, Germany
| | - Paolo Machi
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
| | - Gianmarco Bernava
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
| | - Maria Vargas
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
| | - Daniele Botta
- Division of Radiology, Diagnostic Department, Geneva University Hospitals, Genève, Switzerland
| | - Jatta Berberat
- Division of Neuroradiology, Zentrale Medizinische Dienste, Kantonsspital Aarau, Aarau, Switzerland
| | - Michel Muster
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
| | - Alexandra Platon
- Division of Radiology, Diagnostic Department, Geneva University Hospitals, Genève, Switzerland
| | | | - Karl-Olof Lövblad
- Division of Diagnostic and Interventional Neuroradiology, Diagnostic Department, HUG Geneva University Hospitals, Genève, Switzerland
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