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Shinohara Y, Ohmura T, Sasaki F, Sato Y, Inomata T, Itoh T, Kinoshita T. Dual-Energy Computed Tomography Virtual Noncalcium Imaging of Intracranial Arteries in Acute Ischemic Stroke: Differentiation Between Acute Thrombus and Calcification. J Comput Assist Tomogr 2024; 48:986-990. [PMID: 38657159 DOI: 10.1097/rct.0000000000001623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
OBJECTIVE Hyperdense artery sign (HAS) on noncontrast brain computed tomography (CT) indicates an acute thrombus within the cerebral artery. It is a valuable imaging biomarker for diagnosing large-vessel occlusion; however, its identification may be challenging with the presence of vascular calcification. Dual-energy CT virtual noncalcium (VNCa) imaging using a 3-material decomposition algorithm is helpful for differentiating between calcification and hemorrhage. This study aimed to clarify the potential of VNCa imaging for differentiating HAS from vascular calcification. METHODS Patients with acute ischemic stroke and large-vessel occlusion identified on MR angiography, who also underwent noncontrast dual-energy CT, were included. The 80 kV/Sn 140 kV mixed images, with a weighting factor of 0.4, were considered 120 kVp-equivalent images. Postprocessing using a 3-material decomposition algorithm to differentiate between calcium (Ca), cerebrospinal fluid, and hemorrhage was performed via a commercially available 3-dimensional workstation. A mixed image, VNCa image, color-coded Ca image, and color-coded Ca image with VNCa image overlay (color-coded Ca-overlay image) were obtained, and axial reconstruction with a 1-mm slice thickness was performed for each image type. Two experienced neuroradiologists conducted imaging evaluations in consensus. RESULTS Thirty-four patients (mean age, 76.0 years; 21 male and 13 female patients) were included. The mixed and VNCa images revealed an HAS (indicating an acute clot) corresponding to the large-vessel occlusion site in 30 patients. Among them, the VNCa and color-coded Ca-overlay images enabled clear differentiation between the acute thrombus and adjacent vessel wall calcification in 5 patients. Among the other 4 patients, the VNCa, Ca-overlay, and Ca images identified calcified cerebral emboli in the M1 segment in 1 patient. For the other 3 patients, no high attenuation corresponding to magnetic resonance angiography findings was observed in any of the mixed, VNCa, Ca-overlay, or Ca images. CONCLUSIONS VNCa and color-coded Ca-overlay images obtained via dual-energy brain CT enabled differentiation of acute thrombus from vessel wall calcification and calcified cerebral emboli in patients with acute ischemic stroke.
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Affiliation(s)
- Yuki Shinohara
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
| | - Tomomi Ohmura
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
| | - Fumiaki Sasaki
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
| | - Yuichiro Sato
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
| | - Takato Inomata
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
| | - Toshihide Itoh
- CT Research and Collaboration Department, Diagnostic Imaging Division, Siemens Healthcare K.K., Tokyo, Japan
| | - Toshibumi Kinoshita
- From the Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Akita, Japan
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Yi T, Sui Y, Zheng D, Ren X, Lin X, Wu Y, Lin D, Pan Z, Zheng X, Hong G, Wu M, Zeng L, Chen W. Diagnostic Performance of Carotid Ring Sign on CT-Angiography in Internal Carotid True Occlusion. Stroke 2024; 55:1025-1031. [PMID: 38527154 DOI: 10.1161/strokeaha.123.045156] [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] [Received: 09/13/2023] [Accepted: 01/24/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND To differentiate between pseudo occlusion (PO) and true occlusion (TO) of internal carotid artery (ICA) is important in thrombectomy treatment planning for patients with acute ischemic stroke. Although delayed contrast filling has been differentiated carotid PO from TO, its application has been limited by the implementations of multiphasic computed tomography angiography. In this study, we hypothesized that carotid ring sign, which is readily acquired from single-phasic CTA, can sufficiently differentiate carotid TO from PO. METHODS One thousand four hundred and twenty patients with anterior circulation stroke receiving endovascular therapy were consecutively recruited through a hospital- and web-based registry. Two hundred patients with nonvisualization of the proximal ICA were included in the analysis after a retrospective screening. Diagnosis of PO or TO of the cervical segment of ICA was made based on digital subtraction angiography. Diagnostic performances of carotid ring sign on arterial-phasic CTA and delayed contrast filling on multiphasic computed tomography angiography were evaluated and compared. RESULTS One-hundred twelve patients had ICA PO and 88 had TO. Carotid ring sign was more common in patients with TO (70.5% versus 6.3%; P<0.001), whereas delayed contrast filling was more common in PO (94.9% versus 7.7%; P<0.001). The sensitivity and specificity of carotid ring sign in diagnosing carotid TO were 0.70 and 0.94, respectively, whereas sensitivity and specificity of delayed contrast filling was 0.95 and 0.92 in judging carotid PO. CONCLUSIONS Carotid ring sign is a potent imaging marker in diagnosing ICA TO. Carotid ring sign could be complementary to delayed contrast filling sign in differentiating TO from PO, in particular in centers with only single-phasic CTA.
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Affiliation(s)
- Tingyu Yi
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (T.Y.)
| | - Yi Sui
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, China (Y.S.)
- Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, China (Y.S.)
| | - Dinghuan Zheng
- Department of Neurology, Huian County Hospital, Quanzhou, Fujian, China (D.Z.)
| | - Xinwen Ren
- George Institute for Global Health China (X.R.)
| | - Xiaohui Lin
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Yanmin Wu
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Dinglai Lin
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Zhinan Pan
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Xiufen Zheng
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Ganji Hong
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Meihua Wu
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Lisan Zeng
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
| | - Wenhuo Chen
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, China (T.Y., X.L., Y.W., D.L., Z.P., X.Z., G.H., M.W., L.Z., W.C.)
- Department of Neurology, Fujian Medical University Union Hospital, China (W.C.)
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Schwarz R, Bier G, Wilke V, Wilke C, Taubmann O, Ditt H, Hempel JM, Ernemann U, Horger M, Gohla G. Automated Intracranial Clot Detection: A Promising Tool for Vascular Occlusion Detection in Non-Enhanced CT. Diagnostics (Basel) 2023; 13:2863. [PMID: 37761230 PMCID: PMC10527571 DOI: 10.3390/diagnostics13182863] [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: 07/31/2023] [Revised: 08/30/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: to test the diagnostic performance of a fully convolutional neural network-based software prototype for clot detection in intracranial arteries using non-enhanced computed tomography (NECT) imaging data. (2) Methods: we retrospectively identified 85 patients with stroke imaging and one intracranial vessel occlusion. An automated clot detection prototype computed clot location, clot length, and clot volume in NECT scans. Clot detection rates were compared to the visual assessment of the hyperdense artery sign by two neuroradiologists. CT angiography (CTA) was used as the ground truth. Additionally, NIHSS, ASPECTS, type of therapy, and TOAST were registered to assess the relationship between clinical parameters, image results, and chosen therapy. (3) Results: the overall detection rate of the software was 66%, while the human readers had lower rates of 46% and 24%, respectively. Clot detection rates of the automated software were best in the proximal middle cerebral artery (MCA) and the intracranial carotid artery (ICA) with 88-92% followed by the more distal MCA and basilar artery with 67-69%. There was a high correlation between greater clot length and interventional thrombectomy and between smaller clot length and rather conservative treatment. (4) Conclusions: the automated clot detection prototype has the potential to detect intracranial arterial thromboembolism in NECT images, particularly in the ICA and MCA. Thus, it could support radiologists in emergency settings to speed up the diagnosis of acute ischemic stroke, especially in settings where CTA is not available.
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Affiliation(s)
- Ricarda Schwarz
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (R.S.); (M.H.)
| | - Georg Bier
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (G.B.); (J.-M.H.); (U.E.)
- Radiologie Salzstraße, D-48143 Muenster, Germany
| | - Vera Wilke
- Department of Neurology & Stroke, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany;
- Centre for Neurovascular Diseases Tübingen, D-72076 Tuebingen, Germany
| | - Carlo Wilke
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, Center of Neurology, University of Tuebingen, D-72076 Tuebingen, Germany;
- German Center for Neurodegenerative Diseases (DZNE), D-72076 Tuebingen, Germany
| | - Oliver Taubmann
- Siemens Healthcare GmbH, Computed Tomography, D-91301 Forchheim, Germany; (O.T.); (H.D.)
| | - Hendrik Ditt
- Siemens Healthcare GmbH, Computed Tomography, D-91301 Forchheim, Germany; (O.T.); (H.D.)
| | - Johann-Martin Hempel
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (G.B.); (J.-M.H.); (U.E.)
| | - Ulrike Ernemann
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (G.B.); (J.-M.H.); (U.E.)
| | - Marius Horger
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (R.S.); (M.H.)
| | - Georg Gohla
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University of Tuebingen, D-72076 Tuebingen, Germany; (G.B.); (J.-M.H.); (U.E.)
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Baek JH, Kim BM, Kim DJ, Heo JH, Nam HS, Kim YD, Rho MH, Chung PW, Won YS, Chung Y. Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision. J Neurointerv Surg 2023; 15:e2-e8. [PMID: 35710314 DOI: 10.1136/neurintsurg-2022-018946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/17/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To evaluate whether an occlusion pathomechanism can be accurately determined by common preprocedural findings through a machine learning-based prediction model (ML-PM). METHODS A total of 476 patients with acute stroke who underwent endovascular treatment were retrospectively included to derive an ML-PM. For external validation, 152 patients from another tertiary stroke center were additionally included. An ML algorithm was trained to classify an occlusion pathomechanism into embolic or intracranial atherosclerosis. Various common preprocedural findings were entered into the model. Model performance was evaluated based on accuracy and area under the receiver operating characteristic curve (AUC). For practical utility, a decision flowchart was devised from an ML-PM with a few key preprocedural findings. Accuracy of the decision flowchart was validated internally and externally. RESULTS An ML-PM could determine an occlusion pathomechanism with an accuracy of 96.9% (AUC=0.95). In the model, CT angiography-determined occlusion type, atrial fibrillation, hyperdense artery sign, and occlusion location were top-ranked contributors. With these four findings only, an ML-PM had an accuracy of 93.8% (AUC=0.92). With a decision flowchart, an occlusion pathomechanism could be determined with an accuracy of 91.2% for the study cohort and 94.7% for the external validation cohort. The decision flowchart was more accurate than single preprocedural findings for determining an occlusion pathomechanism. CONCLUSIONS An ML-PM could accurately determine an occlusion pathomechanism with common preprocedural findings. A decision flowchart consisting of the four most influential findings was clinically applicable and superior to single common preprocedural findings for determining an occlusion pathomechanism.
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Affiliation(s)
- Jang-Hyun Baek
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byung Moon Kim
- Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong Joon Kim
- Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hoe Heo
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Suk Nam
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Dae Kim
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myung Ho Rho
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Pil-Wook Chung
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yu Sam Won
- Department of Neurosurgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yeongu Chung
- Department of Neurosurgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Sirimarco G, Strambo D, Nannoni S, Labreuche J, Cereda C, Dunet V, Puccinelli F, Saliou G, Meuli R, Eskandari A, Wintermark M, Michel P. Predicting Penumbra Salvage and Infarct Growth in Acute Ischemic Stroke: A Multifactor Survival Game. J Clin Med 2023; 12:4561. [PMID: 37510676 PMCID: PMC10380847 DOI: 10.3390/jcm12144561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 06/28/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Effective treatment of acute ischemic stroke requires reperfusion of salvageable tissue. We investigated the predictors of penumbra salvage (PS) and infarct growth (IG) in a large cohort of stroke patients. METHODS In the ASTRAL registry from 2003 to 2016, we selected middle cerebral artery strokes <24 h with a high-quality CT angiography and CT perfusion. PS and IG were correlated in multivariate analyses with clinical, biochemical and radiological variables, and with clinical outcomes. RESULTS Among 4090 patients, 551 were included in the study, 50.8% male, mean age (±SD) 66.3 ± 14.7 years, mean admission NIHSS (±SD 13.3 ± 7.1) and median onset-to-imaging-time (IQR) 170 (102 to 385) minutes. Increased PS was associated with the following: higher BMI and lower WBC; neglect; larger penumbra; absence of early ischemic changes, leukoaraiosis and other territory involvement; and higher clot burden score. Reduced IG was associated with the following: non-smokers; lower glycemia; larger infarct core; absence of early ischemic changes, chronic vascular brain lesions, other territory involvement, extracranial arterial pathology and hyperdense middle cerebral artery sign; and higher clot burden score. When adding subacute variables, recanalization was associated with increased PS and reduced IG, and the absence of haemorrhage with reduced IG. Collateral status was not significantly associated with IG nor with PS. Increased PS and reduced IG correlated with better 3- and 12-month outcomes. CONCLUSION In our comprehensive analysis, multiple factors were found to be responsible for PS or IG, the strongest being radiological features. These findings may help to better select patients, particularly for more aggressive or late acute stroke treatment.
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Affiliation(s)
- Gaia Sirimarco
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
- Neurology Unit, Department of Internal Medicine, Riviera Chablais Hospital, 1847 Rennaz, Switzerland
| | - Davide Strambo
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Stefania Nannoni
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Julien Labreuche
- Statistical Unit, Regional House of Clinical Research, University of Lille, CHU Lille, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins, 59000 Lille, France
| | - Carlo Cereda
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
- Stroke Center, Neurology Service, Ospedale Civico di Lugano, 6900 Lugano, Switzerland
| | - Vincent Dunet
- Diagnostic and Interventional Radiology Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Francesco Puccinelli
- Diagnostic and Interventional Radiology Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Guillaume Saliou
- Diagnostic and Interventional Radiology Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Reto Meuli
- Diagnostic and Interventional Radiology Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Ashraf Eskandari
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Max Wintermark
- Diagnostic and Interventional Radiology Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
- Department of Diagnostic and Interventional Radiology, Neuroradiology Division, Stanford University and Medical Center, Stanford, CA 94305, USA
| | - Patrik Michel
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
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Xiong X, Wang J, Ke J, Hong R, Jiang S, Ye J, Hu C. Radiomics-based intracranial thrombus features on preoperative noncontrast CT predicts successful recanalization of mechanical thrombectomy in acute ischemic stroke. Quant Imaging Med Surg 2023; 13:682-694. [PMID: 36819277 PMCID: PMC9929391 DOI: 10.21037/qims-22-599] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/11/2022] [Indexed: 01/05/2023]
Abstract
Background To evaluate the predictive value of radiomics features extracted from the thrombus on preoperative computed tomography images to identify successful recanalization after stent retrieve (SR) treatment in patients with acute ischemic stroke (AIS). Methods Two hundred fifty-six patients newly diagnosed AIS between March 2017 and September 2020 from two institutes, including the first affiliated hospital of Soochow university (institute I) and Northern Jiangsu People's hospital (institute II), were enrolled continuously and retrospectively. Patients with unsatisfactory image quality were excluded. The remaining patients of institute I were randomly divided into the training and internal validation cohorts at a ratio of 7 to 3, and patients of institute II were collected as the external validation cohort. After extraction and selection of the optimal radiomics features from training cohort, six machine learning (ML) classifiers including naïve Bayes (NB), random forest (RF), logistic regression (LR), linear support vector machine (L.SVM), radial SVM (R.SVM), and an artificial neural network (ANN) were developed to predict successful recanalization with SR treatment and compared. A combined model based on the optimal ML classifier was constructed using the optimal radiomics model and clinical-radiological risk variables. Finally, the performance of the model was selected based on the Matthews correlation coefficient (MCC) and the area under the receiver operating (AUC) and independently evaluated on the internal validation and external validation cohorts. Results We automatically extracted 1,130 radiomics features from the voxel of interest (VOI) using PyRadiomics. The eight most relevant radiomics features were identified using Intraclass coefficient, single-factor logistic regression analysis, and least absolute shrinkage and selection operator algorithm in the training cohort. Among the six ML classifiers, the ANN classifier using thrombus radiomics features achieved the best prediction of early recanalization under SR with MCCs of 0.913, 0.693 and 0.505 in training, internal and external validation cohorts, respectively. Moreover, receiver operating characteristic curves showed that the combined model [AUC =0.860, 95% confidence interval (CI): 0.731-0.936; AUC =0.849, 95% CI: 0.759-0.831] was not significantly better than radiomics model based on the ANN classifier alone (AUC =0.873, 95% CI: 0.803-0.891; AUC =0.805, 95% CI: 0.864-0.971) (P>0.05, Delong test) in internal and external validation cohorts. Conclusions A radiomics model based on the ANN classifier has the ability to predict successful recanalization after SR in patients with AIS, thus allowing a potentially better selection of mechanical thrombectomy treatment.
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Affiliation(s)
- Xing Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jia Wang
- Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Jun Ke
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Rong Hong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shu Jiang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jing Ye
- Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
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Shi C, Killingsworth MC, Bhaskar SMM. Prognostic capacity of hyperdense middle cerebral artery sign in anterior circulation acute ischaemic stroke patients receiving reperfusion therapy: a systematic review and meta-analysis. Acta Neurol Belg 2022; 122:423-435. [PMID: 34095978 PMCID: PMC8180356 DOI: 10.1007/s13760-021-01720-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 05/31/2021] [Indexed: 12/29/2022]
Abstract
Pre-intervention CT imaging-based biomarkers, such as hyperdense middle cerebral artery sign (HMCAS) may have a role in acute ischaemic stroke prognostication. However, the clinical utility of HMCAS in settings of reperfusion therapy and the level of prognostic association is still unclear. This systematic review and meta-analysis investigated the association of HMCAS sign with clinical outcomes and its prognostic capacity in acute ischaemic stroke patients treated with reperfusion therapy. Prospective and retrospective studies from the following databases were retrieved from EMBASE, MEDLINE and Cochrane. Association of HMCAS with functional outcome, symptomatic intracerebral haemorrhage (sICH) and mortality were investigated. The random effect model was used to calculate the risk ratio (RR). Subgroup analyses were performed for subgroups of patients receiving thrombolysis (tPA), mechanical thrombectomy (EVT) and/or combined therapy (tPA + EVT). HMCAS significantly increased the rate of poor functional outcome by 1.43-fold in patients (RR 1.43; 95% CI 1.30-1.57; p < 0.0001) without any significant differences in sICH rates (RR 0.91; 95% CI 0.68-1.23; p = 0.546) and mortality (RR 1.34; 95% CI 0.72-2.51; p = 354) in patients with positive HMCAS as compared to negative HMCAS. In subgroup analyses, significant association between HMCAS and 90 days functional outcome was observed in patients receiving tPA (RR 1.53; 95% CI 1.40-1.67; p < 0.0001) or both therapies (RR 1.40; 95% CI 1.08-1.80; p = 0.010). This meta-analysis demonstrated that pre-treatment HMCAS increases risk of poor functional outcomes. However, its prognostic sensitivity and specificity in predicting long-term functional outcome, mortality and sICH after reperfusion therapy is poor.
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Affiliation(s)
- Chenyu Shi
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW Australia
| | - Murray C. Killingsworth
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, Australia
- NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW Australia
- Correlative Microscopy Facility, Ingham Institute for Applied Medical Research, Sydney, Australia
- Department of Anatomical Pathology, NSW Health Pathology and Liverpool Hospital, Liverpool, NSW Australia
| | - Sonu Menachem Maimonides Bhaskar
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, Australia
- South West Sydney Local Health District (SWSLHD), Sydney, Australia
- Stroke and Neurology Research Group, Ingham Institute for Applied Medical Research, Sydney, Australia
- NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW Australia
- Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, Australia
- Present Address: Department of Neurology and Neurophysiology, Liverpool Hospital, Clinical Sciences Building, Elizabeth St, Liverpool, NSW 2170 Australia
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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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9
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Kim YD, Nam HS, Yoo J, Park H, Sohn SI, Hong JH, Kim BM, Kim DJ, Bang OY, Seo WK, Chung JW, Lee KY, Jung YH, Lee HS, Ahn SH, Shin DH, Choi HY, Cho HJ, Baek JH, Kim GS, Seo KD, Kim SH, Song TJ, Kim J, Han SW, Park JH, Lee SI, Heo J, Choi JK, Heo JH. Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion. J Stroke 2021; 23:244-252. [PMID: 34102759 PMCID: PMC8189851 DOI: 10.5853/jos.2020.03622] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 02/10/2021] [Indexed: 11/26/2022] Open
Abstract
Background and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
Methods Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
Results Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
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Affiliation(s)
- Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo Suk Nam
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Joonsang Yoo
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, Korea.,Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hyungjong Park
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.,Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, Korea
| | - Sung-Il Sohn
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, Korea
| | - Byung Moon Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Dong Joon Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung-Yul Lee
- Department of Neurology, Gangnam Severance Hospital, Severance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, Korea
| | - Yo Han Jung
- Department of Neurology, Gangnam Severance Hospital, Severance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, Korea.,Department of Neurology, Changwon Fatima Hospital, Changwon, Korea
| | - Hye Sun Lee
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
| | - Seong Hwan Ahn
- Department of Neurology, Chosun University College of Medicine, Gwangju, Korea
| | - Dong Hoon Shin
- Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea
| | - Hye-Yeon Choi
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea
| | - Han-Jin Cho
- Department of Neurology, Pusan National University School of Medicine, Busan, Korea
| | - Jang-Hyun Baek
- Department of Neurology, National Medical Center, Seoul, Korea.,Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyu Sik Kim
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Kwon-Duk Seo
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea.,Department of Neurology, Wonkwang University Sanbon Hospital, Wonkwang University School of Medicine, Sanbon, Korea
| | - Seo Hyun Kim
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Tae-Jin Song
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea.,Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University School of Medicine, Seoul, Korea
| | - Jinkwon Kim
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.,Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Sang Won Han
- Department of Neurology, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
| | - Joong Hyun Park
- Department of Neurology, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
| | - Sung Ik Lee
- Department of Neurology, Wonkwang University Sanbon Hospital, Wonkwang University School of Medicine, Sanbon, Korea
| | - JoonNyung Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Jin Kyo Choi
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.,Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
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10
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Wei W, Song C, Li X, Jin D. Utility of CT Perfusion Imaging in Patients With Vertebral Artery Stenosis Treated With Balloon Expandable Stent. Front Neurol 2021; 12:650887. [PMID: 33815262 PMCID: PMC8010256 DOI: 10.3389/fneur.2021.650887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/17/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To investigate the clinical value of CT perfusion (CTP) imaging in vertebral artery stenosis stenting, so as to provide the basis for preoperative and postoperative evaluation. Ninety-seven patients with vertebral artery stenosis were accepted for endovascular stenting between Jan 2016 and Jan 2020. CT angiography, Digital Subtraction Angiography, and CTP were performed pre-operation and post-operation. The cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transmit time (MTT) between the health and affected sides were analyzed statistically, and the imaging results pre- and post-operation were evaluated. The stenosis was relieved by endovascular stents in all 97 patients without serious complications. The abnormal perfusion was observed in 66 patients (68%). The differences in CBF and MTT between the diseased side and healthy side were statistically significant (P < 0.05). Compared with the preoperative imaging, the postoperative CTP was improved in 59 patients (89%). The differences in CBF and MTT between pre-operation and post-operation were statistically significant (P < 0.05). But there was no significant difference in CBV. CTP can sensitively reflect the perfusion of brain, and can also be used for preoperative and postoperative evaluation of vertebral artery stenting. It may be helpful as an adequate indicator of vertebral artery stenosis stent surgery.
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Affiliation(s)
- Wei Wei
- Department of Neurosurgery, Affiliated Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
| | - Chong Song
- Department of Neurosurgery, Affiliated Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
| | - Xuqin Li
- Department of Neurosurgery, Affiliated Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
| | - Dianshi Jin
- Department of Neurosurgery, Affiliated Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
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11
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Tahir RA, Affan M, Marin H, Haider SA, Alsrouji OK, Ahmad A, Chebl AB, Katramados A, Van Harn M, Kole M. Quantification of pial collateral pressure in acute large vessel occlusion stroke: basic concept with patient outcomes. Neuroradiology 2021; 63:1313-1323. [PMID: 33507337 DOI: 10.1007/s00234-021-02641-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/06/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Pial collateral perfusion to the ischemic penumbra plays a critical role in determining patient outcomes in acute stroke. We aimed to assess the validity and reliability of an intra-procedural technique for measuring and quantifying the pial collateral pressure (QPCP) to ischemic brain tissue during acute stroke secondary to LVO. QPCP measurements were correlated with standard computed tomography angiography (CTA) and digital subtraction angiography imaging assessments of pial collateral perfusion and outcomes after mechanical endovascular revascularization (MER). METHODS This prospective cohort study included 60 consecutive patients with middle cerebral artery (MCA)-M1 and proximal M2 occlusions. QPCP measurements were obtained during MER. The validity of QPCP measurements was evaluated using four widely accepted collateral grading scales. QPCP measurements were also analyzed as a predictor of patient outcomes utilizing National Institute of Health Stroke Scale reduction at 24 h and modified Rankin Scale (mRS) scores at 30 days. RESULTS QPCP measurements and QPCP ratio (QPCP/systemic mean arterial blood pressure) showed a statistically significant association with single-phase pretreatment CTA Maas and American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology binary grading scales. Patient outcomes demonstrated for every 10-unit increase in QPCP, the odds of mRS 0-2 at 30 days increased by 76% (p = 0.019). CONCLUSION QPCP measurements related best with the pretreatment CTA Maas collateral grading scale but were more strongly associated with patient outcomes than any of the four widely accepted collateral grading scales. Greater QPCP was significantly associated with better overall patient outcomes as defined by mRS at 30 days.
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Affiliation(s)
- Rizwan A Tahir
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Muhammad Affan
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Horia Marin
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
- Department of Radiology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Sameah A Haider
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Owais Khadem Alsrouji
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Ayesha Ahmad
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Alex Bou Chebl
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Angelos Katramados
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Meredith Van Harn
- Department of Public Health Sciences, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Max Kole
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA.
- Department of Radiology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA.
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12
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Derraz I, Pou M, Labreuche J, Legrand L, Soize S, Tisserand M, Rosso C, Piotin M, Boulouis G, Oppenheim C, Naggara O, Bracard S, Clarençon F, Lapergue B, Bourcier R. Clot Burden Score and Collateral Status and Their Impact on Functional Outcome in Acute Ischemic Stroke. AJNR Am J Neuroradiol 2021; 42:42-48. [PMID: 33184069 DOI: 10.3174/ajnr.a6865] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/12/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Collateral status and thrombus length have been independently associated with functional outcome in patients with acute ischemic stroke. It has been suggested that thrombus length would influence functional outcome via interaction with the collateral circulation. We investigated the individual and combined effects of thrombus length assessed by the clot burden score and collateral status assessed by a FLAIR vascular hyperintensity-ASPECTS rating system on functional outcome (mRS). MATERIALS AND METHODS Patients with anterior circulation acute ischemic stroke due to large-vessel occlusion from the ASTER and THRACE trials treated with endovascular thrombectomy were pooled. The clot burden score and FLAIR vascular hyperintensity score were determined on MR imaging obtained before endovascular thrombectomy. Favorable outcome was defined as an mRS score of 0-2 at 90 days. Association of the clot burden score and the FLAIR vascular hyperintensity score with favorable outcome (individual effect and interaction) was examined using logistic regression models. RESULTS Of the 326 patients treated by endovascular thrombectomy with both the clot burden score and FLAIR vascular hyperintensity assessment, favorable outcome was observed in 165 (51%). The rate of favorable outcome increased with clot burden score (smaller clots) and FLAIR vascular hyperintensity (better collaterals) values. The association between clot burden score and functional outcome was significantly modified by the FLAIR vascular hyperintensity score, and this association was stronger in patients with good collaterals, with an adjusted OR = 6.15 (95% CI, 1.03-36.81). CONCLUSIONS The association between the clot burden score and functional outcome varied for different collateral scores. The FLAIR vascular hyperintensity score might be a valuable prognostic factor, especially when contrast-based vascular imaging is not available.
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Affiliation(s)
- I Derraz
- From the Department of Neuroradiology (I.D.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - M Pou
- Department of Neuroradiology (M.P., F.C.)
| | - J Labreuche
- Santé publique: épidémiologie et qualité des soins (J.L.), University of Lille, Centre Hospitalier Universitaire Lille, Lille, France
| | - L Legrand
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - S Soize
- Department of Neuroradiology (S.S.), Centre Hospitalier Universitaire Reims, Reims, France
| | | | - C Rosso
- Institut du Cerveau et de la Moelle épinière (C.R.), Sorbonne Université, Institut du Cerveau, National Institute for Health and Medical Research U 1127, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, Paris, France
| | - M Piotin
- Department of Interventional Neuroradiology (M.P.), Rothschild Fondation, Paris, France
| | - G Boulouis
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - C Oppenheim
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - O Naggara
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - S Bracard
- Department of Neuroradiology (S.B.), Regional and University Hospital Centre Nancy, Nancy, France
| | | | - B Lapergue
- Stroke Center (B.L.), Foch Hospital, Suresnes, France
| | - R Bourcier
- Department of Diagnostic and Interventional Neuroradiology (R.B.), Guillaume et René Laennec University Hospital, Nantes, France
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13
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Ohara T, Menon BK, Al-Ajlan FS, Horn M, Najm M, Al-Sultan A, Puig J, Dowlatshahi D, Calleja Sanz AI, Sohn SI, Ahn SH, Poppe AY, Mikulik R, Asdaghi N, Field TS, Jin A, Asil T, Boulanger JM, Letteri F, Dey S, Evans JW, Goyal M, Hill MD, Almekhlafi M, Demchuk AM. Thrombus Migration and Fragmentation After Intravenous Alteplase Treatment: The INTERRSeCT Study. Stroke 2020; 52:203-212. [PMID: 33317416 DOI: 10.1161/strokeaha.120.029292] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE There is interest in what happens over time to the thrombus after intravenous alteplase. We study the effect of alteplase on thrombus structure and its impact on clinical outcome in patients with acute stroke. METHODS Intravenous alteplase treated stroke patients with intracranial internal carotid artery or middle cerebral artery occlusion identified on baseline computed tomography angiography and with follow-up vascular imaging (computed tomography angiography or first run of angiography before endovascular therapy) were enrolled from INTERRSeCT study (Identifying New Approaches to Optimize Thrombus Characterization for Predicting Early Recanalization and Reperfusion With IV Alteplase and Other Treatments Using Serial CT Angiography). Thrombus movement after intravenous alteplase was classified into complete recanalization, thrombus migration, thrombus fragmentation, and no change. Thrombus migration was diagnosed when occlusion site moved distally and graded according to degrees of thrombus movement (grade 0-3). Thrombus fragmentation was diagnosed when a new distal occlusion in addition to the primary occlusion was identified on follow-up imaging. The association between thrombus movement and clinical outcome was also evaluated. RESULTS Among 427 patients in this study, thrombus movement was seen in 54% with a median time of 123 minutes from alteplase administration to follow-up imaging, and sub-classified as marked (thrombus migration grade 2-3 + complete recanalization; 27%) and mild to moderate thrombus movement (thrombus fragmentation + thrombus migration grade 0-1; 27%). In patients with proximal M1/internal carotid artery occlusion, marked thrombus movement was associated with a higher rate of good outcome (90-day modified Rankin Scale, 0-2) compared with mild to moderate movement (52% versus 27%; adjusted odds ratio, 5.64 [95% CI, 1.72-20.10]). No difference was seen in outcomes between mild to moderate thrombus movement and no change. In M1 distal/M2 occlusion, marked thrombus movement was associated with improved 90-day good outcome compared with no change (70% versus 56%; adjusted odds ratio, 2.54 [95% CI, 1.21-5.51]). CONCLUSIONS Early thrombus movement is common after intravenous alteplase. Marked thrombus migration leads to good clinical outcomes. Thrombus dynamics over time should be further evaluated in clinical trials of acute reperfusion therapy.
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Affiliation(s)
- Tomoyuki Ohara
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.).,Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan (T.O.)
| | - Bijoy K Menon
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Fahad S Al-Ajlan
- King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia (F.S.A.-A.)
| | - MacKenzie Horn
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Mohamed Najm
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Abdulaziz Al-Sultan
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Josep Puig
- IDI-IDIBGI, Dr Josep Trueta University Hospital, Girona, Spain (J.P.)
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Canada (D.D.)
| | - Ana I Calleja Sanz
- Department of Neurology, Universitary Clinical Hospital of Valladolid, Spain (A.I.C.-S.)
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University, Daegu, Republic of Korea (S.-I.S.)
| | - Seong H Ahn
- Gwangju Institute of Science and Technology, Republic of Korea (S.H.A.)
| | - Alexandre Y Poppe
- Department of Neurosciences, University of Montreal, Canada (A.Y.P.)
| | - Robert Mikulik
- International Clinical Research Center, Department of Neurology, St Anne's University Hospital, Masaryk University, Brno, Czech Republic (R.M.)
| | | | - Thalia S Field
- Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (T.S.F.)
| | - Albert Jin
- Department of Medicine (Neurology), Queen's University, Kingston, Ontario, Canada (A.J.)
| | - Talip Asil
- Bezmialem Vakif Univesitesi Noroloji, Istanbul, Turkey (T.A.)
| | | | - Federica Letteri
- Istituto Don Calabria, IRCCS Sacro Cuore Hospital, Negrar, Italy (F.L.)
| | | | | | - Mayank Goyal
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Michael D Hill
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Mohammed Almekhlafi
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
| | - Andrew M Demchuk
- Calgary Stroke Program, Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Radiology, Cumming School of Medicine, University of Calgary, Canada (T.O., B.K.M., M.H., M.N., A.A.-S., M.G., M.D.H., M.A., A.M.D.)
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14
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Kyselyova AA, Fiehler J, Leischner H, Flottmann F, Buhk JH, Frölich AM. Vessel diameter and catheter-to-vessel ratio affect the success rate of clot aspiration. J Neurointerv Surg 2020; 13:605-608. [PMID: 32753556 DOI: 10.1136/neurintsurg-2020-016459] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 07/08/2020] [Accepted: 07/09/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND A direct aspiration first pass technique (ADAPT) is an efficient, safe, cost-effective, and fast thrombectomy technique. OBJECTIVE To evaluate anatomical and clot characteristics associated with success of the aspiration component as part of ADAPT. METHODS 106 cases of acute carotid-T, basilar, and middle cerebral artery occlusion undergoing endovascular treatment with ADAPT were retrospectively assessed for successful catheter-clot contact and successful primary aspiration, defined as a Thrombolysis in Cerebral Infarction score ≥2b after primary aspiration with 5F or 6F aspiration catheters. Patient age, National Institutes of Health Stroke Scale (NIHSS) score, time from symptom onset to groin puncture, time from groin puncture to revascularization, aortic arch type, access vessel tortuosity, vessel diameter at the proximal end of the thrombus, catheter-to-vessel ratio (CVR), clot density, length, and perviousness were determined. RESULTS Successful clot contact with the aspiration catheter was achieved in 76 cases (72%); these patients were younger (67.7±15.2 vs 73.7±11.4 years; p=0.05) and had less tortuous access vessels (1 vs 2 reverse curves; p=0.004) than those in whom clot contact failed. Successful primary aspiration occurred in 36 of these cases (47%) and was associated with significantly smaller vessel diameter at the proximal thrombus end (2.5±0.7 mm vs 3.1±1.3 mm; p=0.01) and higher CVR (CVR outer diameter: 0.85±0.2 vs 0.68±0.2; p=0.01 and CVR inner diameter: 0.72±0.2 vs 0.58±0.2; p<0.001). No significant differences were seen in aortic arch type, radiographic clot features, and NIHSS score. CONCLUSION With ADAPT, patient age and vessel tortuosity affect the ability to deliver the aspiration catheter and achieve clot contact, whereas vessel diameter and CVR at the aspiration site seem to affect the effectiveness of clot aspiration. Strategies aimed at improving catheter deliverability and increasing CVR may increase the efficacy of ADAPT.
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Affiliation(s)
- Anna Andriana Kyselyova
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Hendrik Buhk
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas Maximilian Frölich
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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15
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Heo JH, Nam HS, Kim YD, Choi JK, Kim BM, Kim DJ, Kwon I. Pathophysiologic and Therapeutic Perspectives Based on Thrombus Histology in Stroke. J Stroke 2020; 22:64-75. [PMID: 32027792 PMCID: PMC7005358 DOI: 10.5853/jos.2019.03440] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/23/2020] [Indexed: 01/04/2023] Open
Abstract
Recent advances in endovascular thrombectomy have enabled the histopathologic analysis of fresh thrombi in patients with acute stroke. Histologic analysis has shown that the thrombus composition is very heterogeneous between patients. However, the distribution pattern of each thrombus component often differs between patients with cardiac thrombi and those with arterial thrombi, and the efficacy of endovascular thrombectomy is different according to the thrombus composition. Furthermore, the thrombus age is related to the efficacy of reperfusion therapy. Recent studies have shown that neutrophils and neutrophil extracellular traps contribute to thrombus formation and resistance to reperfusion therapy. Histologic features of thrombi in patients with stroke may provide some clues to stroke etiology, which is helpful for determining the strategy of stroke prevention. Research on thrombus may also be helpful for improving reperfusion therapy, including the development of new thrombolytic agents.
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Affiliation(s)
- Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.,Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo Suk Nam
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.,Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Korea
| | - Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.,Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Korea
| | - Jin Kyo Choi
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Byung Moon Kim
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Korea.,Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Dong Joon Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Il Kwon
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Korea
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16
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Velasco Gonzalez A, Buerke B, Görlich D, Fobker M, Rusche T, Sauerland C, Meier N, Jeibmann A, McCarthy R, Kugel H, Sporns P, Faldum A, Paulus W, Heindel W. Clot Analog Attenuation in Non-contrast CT Predicts Histology: an Experimental Study Using Machine Learning. Transl Stroke Res 2020; 11:940-949. [PMID: 31933117 DOI: 10.1007/s12975-019-00766-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/01/2019] [Accepted: 12/04/2019] [Indexed: 12/12/2022]
Abstract
Exact histological clot composition remains unknown. The purpose of this study was to identify the best imaging variables to be extrapolated on clot composition and clarify variability in the imaging of thrombi by non-contrast CT. Using a CT-phantom and covering a wide range of histologies, we analyzed 80 clot analogs with respect to X-ray attenuation at 24 and 48 h after production. The mean, maximum, and minimum HU values for the axial and coronal reconstructions were recorded. Each thrombus underwent a corresponding histological analysis, together with a laboratory analysis of water and iron contents. Decision trees, a type of supervised machine learning, were used to select the primary variable altering attenuation and the best parameter for predicting histology. The decision trees selected red blood cells (RBCs) for correlation with all attenuation parameters (p < 0.001). Conversely, maximum attenuation on axial CT offered the greatest accuracy for discriminating up to four groups of clot histology (p < 0.001). Similar RBC-rich thrombi displayed variable imaging associated with different iron (p = 0.023) and white blood cell contents (p = 0.019). Water content varied among the different histologies but did not in itself account for the differences in attenuation. Independent factors determining clot attenuation were the RBCs (β = 0.33, CI = 0.219-0.441, p < 0.001) followed by the iron content (β = 0.005, CI = 0.0002-0.009, p = 0.042). Our findings suggest that it is possible to extract more and valuable information from NCCT that can be extrapolated to provide insights into clot histological and chemical composition.
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Affiliation(s)
- Aglae Velasco Gonzalez
- Department of Clinical Radiology, Neuroradiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
| | - Boris Buerke
- Department of Clinical Radiology, Neuroradiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Dennis Görlich
- Institute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany
| | - Manfred Fobker
- Center for Laboratory Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Thilo Rusche
- Department of Clinical Radiology, Neuroradiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Cristina Sauerland
- Institute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany
| | - Norbert Meier
- Department of Clinical Radiology, Medical Physics, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Astrid Jeibmann
- Institute of Neuropathology, University Hospital Muenster, Pottkamp 2, 48149, Muenster, Germany
| | - Ray McCarthy
- Cerenovus, Galway Neuro Technology Centre, Mervue Business Park, Galway, Ireland
| | - Harald Kugel
- Department of Clinical Radiology, Medical Physics, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Peter Sporns
- Department of Clinical Radiology, Neuroradiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
| | - Andreas Faldum
- Institute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany
| | - Werner Paulus
- Institute of Neuropathology, University Hospital Muenster, Pottkamp 2, 48149, Muenster, Germany
| | - Walter Heindel
- Department of Clinical Radiology, Neuroradiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany
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17
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Parvizi M, Farzanefar S, Tafakhori A, Gholami M, Johari Daha F, Saffar H, Khalaj A, Abbasi M. Imaging of Clot by 99mTc-HMPAO Labeled Platelet in Animal Model Induced Thrombosis. IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH : IJPR 2020; 19:76-84. [PMID: 33841523 PMCID: PMC8019865 DOI: 10.22037/ijpr.2020.1101234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
99mTc-HMPAO labeled platelet (LP) imaging may integrate thrombosis imaging into routine clinical procedures. In the current study, we assessed the feasibility of the use of 99mTc-HMPAO LP for imaging of small clots in an animal model. Thrombosis was induced by application of FeCl3 solution in the distal part of the inferior vena cava (IVC) of a 6100 g anesthetized rabbit and in a male Wistar rat weighing 420 g. Twenty minutes later, 178 MBq 99mTc-HMPAO LP was injected. 99mTc-HMPAO LP preparation was done as defined and standardized in a previous report. Whole body and SPECT imaging were done 60, 90, and 120 min after tracer injection. Then, the clotted part of the vein was extracted and then its activity and pathologic evaluations were compared with the proximal part of the IVC at a similar volume. A 17 × 6 mm clot was clearly detected with both planar and SPECT imaging. The count to pixel ratio (CPR) of the clotted part of the vein was 35, 40, and 40 compared to the non-clotted vein (i.e. 19, 18, and 21) at 60, 90, and 120 min, respectively. After clot extraction, the CPR decreased to 14. The clot activity was 0.44 MBq compared to 0.01 MBq of the normal control vein. Also, clot induction was pathologically proven. 99mTc-HMPAO LP preparation is logistically possible in clinical nuclear medicine and the ability of imaging small size clots encourages future trials for real clinical thrombotic scenarios.
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Affiliation(s)
- Mahdieh Parvizi
- Department of Radiopharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
| | - Saeed Farzanefar
- Department of Nuclear Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Abbas Tafakhori
- Department of Neurology, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mahdi Gholami
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
| | - Fariba Johari Daha
- Radiation Application Research School, Nuclear Science and Technology Research Institute, NSTRI, Tehran, Iran.
| | - Hana Saffar
- Department of Pathology, Cancer Institute, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ali Khalaj
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mehrshad Abbasi
- Department of Nuclear Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
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18
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Mönch S, Boeckh-Behrens T, Berndt M, Maegerlein C, Wunderlich S, Zimmer C, Friedrich B. Angiographic Baseline Proximal Thrombus Appearance of M1/M2 Occlusions in Mechanical Thrombectomy. Clin Neuroradiol 2019; 31:189-196. [PMID: 31807811 DOI: 10.1007/s00062-019-00863-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/19/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE Analyzing stroke thrombi has proven to be valuable in prognostication and risk stratification of stroke etiology, reperfusion success and outcomes. The aim of this study was to test if the baseline appearance of the proximal thrombus on digital subtraction angiography (DSA) can predict these parameters in acute ischemic stroke patients treated with mechanical thrombectomy. METHODS The appearance of the most proximal part of the thrombus was determined based on DSA. Thrombus perviousness, density, and histology were measured beforehand as described previously. Baseline, technical, and outcome variables were compared using the χ2-test, analysis of variance and the Kruskal-Wallis test. RESULTS A total of 144 stroke patients with M1 and M2 occlusions could be included in this present study. Of the patients 60.4% had a cutoff, 27.1% a tapered, and 12.5% a meniscus/tram-track appearance of the thrombus on baseline DSA. The number of maneuvers was higher in the cutoff cohort (P = 0.003). Age (P = 0.777), female sex (P = 0.936), administration of intravenous thrombolysis (P = 0.364), percentage of M1 occlusions (P = 0.194), Alberta Stroke Program early computed tomography score (ASPECTS, P = 0.256), usage of balloon guide catheters (P = 0.367), general anesthesia (P = 0.184), procedure time (P = 0.214) and symptom onset to groin puncture time (P = 0.114) did not significantly differ. Alongside a lower National Institutes of Health scale (NIHSS) score on admission (P = 0.085), good functional outcome was favorable for the meniscus/tram-track cohort (P = 0.030). Stroke etiology according to the trial of Org 10172 in acute stroke treatment (TOAST) criteria as well as thrombus perviousness, density, and histology showed no association with the thrombus appearance. CONCLUSION Baseline cut off thrombus appearance predicts a higher number of thrombectomy maneuvers. In day to day practice this may prepare the neurointerventionalist for a more challenging endovascular procedure ahead. Stroke etiology, clinical outcomes and thrombus-specific characteristics did not show any associations with the thrombus appearance.
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Affiliation(s)
- Sebastian Mönch
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.
| | - Tobias Boeckh-Behrens
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Maria Berndt
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Christian Maegerlein
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Silke Wunderlich
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany
| | - Benjamin Friedrich
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany
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19
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Li J, Wan N, Wen J, Cheng G, He L, Cheng L. Quantitative detection and evaluation of thrombus formation based on electrical impedance spectroscopy. Biosens Bioelectron 2019; 141:111437. [PMID: 31279177 DOI: 10.1016/j.bios.2019.111437] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 06/06/2019] [Accepted: 06/12/2019] [Indexed: 01/13/2023]
Abstract
Thrombus formation is quantitatively measured and evaluated by the electrical impedance spectroscopy method in this study, which confirms the possibility for the application of a promising non-invasive thrombus detection method. The impedance parameter Z*(t) of blood from the electrical impedance spectroscopy is utilized to elaborate the impedance performance of blood during thrombus formation process. Experimental results indicate that the impedance Z*(t) of blood has regular variations under the formation of thrombus, which could be divided into three stages. Modified Hanai equation is proposed to quantitatively expound the three stages of impedance Z*(t) variation. The amount of fibrin and thrombus clot is founded to be accounted for the impedance variation of blood, which confirms the feasibility and theoretical basis of the non-invasive and on-line thrombus bio-detection technology for patients with serious cardiovascular disease.
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Affiliation(s)
- Jianping Li
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China
| | - Nen Wan
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China.
| | - Jianming Wen
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China
| | - Guangming Cheng
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China
| | - Lidong He
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China
| | - Li Cheng
- Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, 321004, Zhejiang Province, China
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20
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Bang OY, Kim BM, Seo WK, Jeon P. Endovascular Therapy for Acute Ischemic Stroke of Intracranial Atherosclerotic Origin-Neuroimaging Perspectives. Front Neurol 2019; 10:269. [PMID: 30949124 PMCID: PMC6435574 DOI: 10.3389/fneur.2019.00269] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 02/28/2019] [Indexed: 12/18/2022] Open
Abstract
Large vessel occlusion (LVO) due to intracranial atherosclerosis (ICAS) is a common cause of acute ischemic stroke (AIS) in Asians. Endovascular therapy (EVT) has been established as the mainstay of treatment in patients with AIS and LVO. However, only a few patients of Asian descent with ICAS-related LVO (ICAS-LVO) were included in recent randomized controlled trials of EVT for AIS. Therefore, the findings of these trials cannot be directly applied to Asian patients with ICAS-LVO. In embolic LVO due to thrombus from the heart or a more proximal vessel, rapid, and complete recanalization can be achieved in more than 70-80% of patients, and it is important to exclude patients with large cores. In contrast, patients with ICAS-LVO usually have favorable hemodynamic profiles (good collateral status, small core, and less severe perfusion deficit), but poor response to EVT (more rescue treatments and longer procedure times are required for successful recanalization due to higher rates of reocclusion). Patients with ICAS-LVO may have different anatomic (plaque, angioarchitecture), hemodynamic (collateral status), and pathophysiologic (thrombus composition) features on neuroimaging compared to patients with embolic LVO. In this review, we discuss these neuroimaging features, their clinical implications with respect to determination of EVT responses, and the need for development of specific EVT devices and procedures for patients with ICAS-LVO.
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Affiliation(s)
- Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Byung Moon Kim
- Department of Radiology, Severance Hospital Stroke Center, Yonsei University College of Medicine, Seoul, South Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Pyoung Jeon
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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21
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Chung JW, Kim YC, Cha J, Choi EH, Kim BM, Seo WK, Kim GM, Bang OY. Characterization of clot composition in acute cerebral infarct using machine learning techniques. Ann Clin Transl Neurol 2019; 6:739-747. [PMID: 31019998 PMCID: PMC6469248 DOI: 10.1002/acn3.751] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 01/31/2019] [Accepted: 02/11/2019] [Indexed: 01/01/2023] Open
Abstract
Objective Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (ML) and validated its accuracy in patients undergoing endovascular treatment. Methods Pre‐endovascular treatment gradient echo (GRE) images from consecutive patients with middle cerebral artery occlusion were utilized to develop and validate an ML system to predict whether atrial fibrillation (AF) was the underlying cause of ischemic stroke. The accuracy of the ML algorithm was compared with that of visual inspection by neuroimaging specialists for the presence of blooming artifact. Endovascular procedures and outcomes were compared in patients with and without AF. Results Of 67 patients, 29 (43.3%) had AF. Of these, 13 had known AF and 16 were newly diagnosed with cardiac monitoring. By visual inspection, interrater correlation for blooming artifact was 0.73 and sensitivity and specificity for AF were 0.79 and 0.63, respectively. For AF classification, the ML algorithms yielded an average accuracy of > 75.4% in fivefold cross‐validation with clot signal profiles obtained from 52 patients and an area under the curve >0.87 for the average AF probability from five signal profiles in external validation (n = 15). Analysis with an in‐house interface took approximately 3 min per patient. Absence of AF was associated with increased number of passes by stentriever, high reocclusion frequency, and additional use of rescue stenting and/or glycogen IIb/IIIa blocker for recanalization. Interpretation ML‐based rapid clot analysis is feasible and can identify AF with high accuracy, enabling selection of endovascular treatment strategy.
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Affiliation(s)
- Jong-Won Chung
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Yoon-Chul Kim
- Clinical Research Institute Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Jihoon Cha
- Department of Radiology Yonsei University Medical Center Yonsei University College of Medicine Seoul Republic of Korea
| | - Eun-Hyeok Choi
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Byung Moon Kim
- Department of Radiology Yonsei University Medical Center Yonsei University College of Medicine Seoul Republic of Korea
| | - Woo-Keun Seo
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Gyeong-Moon Kim
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Oh Young Bang
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
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22
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Derraz I, Bourcier R, Soudant M, Soize S, Hassen WB, Hossu G, Clarencon F, Derelle AL, Tisserand M, Raoult H, Legrand L, Bracard S, Oppenheim C, Naggara O. Does Clot Burden Score on Baseline T2*-MRI Impact Clinical Outcome in Acute Ischemic Stroke Treated with Mechanical Thrombectomy? J Stroke 2019; 21:91-100. [PMID: 30732444 PMCID: PMC6372898 DOI: 10.5853/jos.2018.01921] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 10/02/2018] [Indexed: 12/20/2022] Open
Abstract
Background and Purpose A long clot, defined by a low (0-6) clot burden score (CBS) assessed by T2*-MR sequence, is associated with worse clinical outcome after intravenous thrombolysis (IVT) for acute ischemic stroke than is a small clot (CBS, 7-10). The added benefit of mechanical thrombectomy (MT) might be higher in patients with long clot. The aim of this pre-specified post hoc analysis of the THRombectomie des Artères CErebrales (THRACE) trial was to assess the association between T2*-CBS, successful recanalization and clinical outcome.
Methods Of 414 patients randomized in the THRACE trial, 281 patients were included in this analysis. Associations between T2*-CBS and clinical outcome on the modified Rankin Scale (mRS) at 3 months were tested.
Results High T2*-CBS, i.e., small clot, was associated with a shift toward better outcome on the mRS; proportional odds ratio (POR) per point CBS was 1.19 (95% confidence interval [CI], 1.05 to 1.34) in the whole population, 1.34 (95% CI, 1.13 to 1.59) in IVT group, and 1.04 (95% CI, 0.87 to 1.23) in IVTMT group. After adjustment for baseline prognostic variables, the effect of the full scale T2*-CBS was not statistically significant in the whole population and for the IVTMT group but remains significant for the IVT group (POR, 1.32; 95% CI, 1.11 to 1.58).
Conclusions A small clot, as assessed using T2*-CBS, is associated with improved outcome and may be used as a prognostic marker. Despite the worst outcome with long clot, the relative benefit of MT over IVT seemed to increase with low T2*-CBS and longer clot.
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Affiliation(s)
- Imad Derraz
- Department of Neuroradiology, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
| | | | - Marc Soudant
- Department of Biostatistics, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
| | | | - Wagih Ben Hassen
- Paris Descartes University, INSERM UMR 894 and Department of Neuroradiology, Sainte-Anne Hospital Center, Paris, France
| | - Gabriella Hossu
- Department of CIC1433 Innovative Technology, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
| | | | - Anne Laure Derelle
- Department of Neuroradiology, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
| | - Marie Tisserand
- Department of Neuroradiology, Foch Hospital, Suresnes, France
| | - Helene Raoult
- Department of Neuroradiology, CHU Rennes, Rennes, France
| | - Laurence Legrand
- Paris Descartes University, INSERM UMR 894 and Department of Neuroradiology, Sainte-Anne Hospital Center, Paris, France
| | - Serge Bracard
- Department of Neuroradiology, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
| | - Catherine Oppenheim
- Paris Descartes University, INSERM UMR 894 and Department of Neuroradiology, Sainte-Anne Hospital Center, Paris, France
| | - Olivier Naggara
- Paris Descartes University, INSERM UMR 894 and Department of Neuroradiology, Sainte-Anne Hospital Center, Paris, France
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- Department of Neuroradiology, CHRU Nancy, INSERM, University of Lorraine, Nancy, France
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23
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Abstract
Cerebral ischemic stroke treatment may change significantly now that clots are actually physically removed from the patient using thrombectomy. This allows for an analysis of the content of the clots as well as the correlation of the imaging findings and the clot behavior and morphology. This article illustrates how the interaction of different clots varies in the clinical setting and how analysis of clot composition, as well as the search for new pharmacologic targets, can lead to a better understanding of the pathophysiology and therapy resistance, in turn providing possibilities for a better approach in the treatment.
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Affiliation(s)
- Patrick A. Brouwer
- Neuroradiology Department, Neurointervention section, Karolinska University Hospital Stockholm, Sweden
| | - Waleed Brinjikji
- Departments of Radiology and Neurosurgery, Mayo Clinic Rochester MN, USA
- Joint Department of Medical Imaging, Toronto Western Hospital, Toronto ON, Canada
| | - Simon F. De Meyer
- Laboratory for Thrombosis Research, KU Leuven, Campus Kulak Kortrijk, Kortrijk, Belgium
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24
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Shu L, Meyne J, Jansen O, Jensen-Kondering U. Manual Thrombus Density Measurement Depends on the Method of Thrombus Delineation. J Stroke 2018; 20:411-412. [PMID: 30309237 PMCID: PMC6186916 DOI: 10.5853/jos.2018.01186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 06/04/2018] [Indexed: 11/11/2022] Open
Affiliation(s)
- Liang Shu
- Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Kiel, Germany.,Shanghai Ninth People's Hospital, Shanghai, China
| | - Johannes Meyne
- Department of Neurology, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Olav Jansen
- Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Ulf Jensen-Kondering
- Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Kiel, Germany
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25
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Yoo J, Baek JH, Park H, Song D, Kim K, Hwang IG, Kim YD, Kim SH, Lee HS, Ahn SH, Cho HJ, Kim GS, Kim J, Lee KY, Song TJ, Choi HY, Nam HS, Heo JH. Thrombus Volume as a Predictor of Nonrecanalization After Intravenous Thrombolysis in Acute Stroke. Stroke 2018; 49:2108-2115. [DOI: 10.1161/strokeaha.118.021864] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Joonsang Yoo
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
- Yonsei University College of Medicine, Seoul, Korea; Department of Neurology, Keimyung University School of Medicine, Daegu, Korea (J.Y.)
| | - Jang-Hyun Baek
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
- Department of Neurology, National Medical Center, Seoul, Korea (J.-H.B.)
| | - Hyungjong Park
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Dongbeom Song
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Kyoungsub Kim
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - In Gun Hwang
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Young Dae Kim
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Seo Hyun Kim
- Department of Neurology, Yonsei Wonju University College of Medicine, Korea (S.H.K.)
| | | | - Seong Hwan Ahn
- Department of Neurology, Chosun University College of Medicine, Kwangju, Korea (S.H.A.)
| | - Han-Jin Cho
- Department of Neurology, Pusan National University School of Medicine, Busan, Korea (H.-J.C.)
| | - Gyu Sik Kim
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea (G.S.K.)
| | - Jinkwon Kim
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, Korea (J.K.)
| | - Kyung-Yul Lee
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Tae-Jin Song
- Department of Neurology, Ewha Womans University College of Medicine, Seoul, Korea (T.-J.S.)
| | - Hye-Yeon Choi
- Department of Neurology, Kyung Hee University School of Medicine, Seoul, Korea (H.-Y.C.)
| | - Hyo Suk Nam
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
| | - Ji Hoe Heo
- From the Department of Neurology (J.Y., J.-H.B., H.P., D.S., K.K., I.G.H., Y.D.K., K.-Y.L., H.S.N., J.H.H.)
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Kaesmacher J, Giarrusso M, Zibold F, Mosimann PJ, Dobrocky T, Piechowiak E, Bellwald S, Arnold M, Jung S, El-Koussy M, Mordasini P, Gralla J, Fischer U. Rates and Quality of Preinterventional Reperfusion in Patients With Direct Access to Endovascular Treatment. Stroke 2018; 49:1924-1932. [DOI: 10.1161/strokeaha.118.021579] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Johannes Kaesmacher
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
| | - Mattia Giarrusso
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
| | - Felix Zibold
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Pascal J. Mosimann
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Tomas Dobrocky
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Eike Piechowiak
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Sebastian Bellwald
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
| | - Marcel Arnold
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
| | - Simon Jung
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
| | - Marwan El-Koussy
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Pasquale Mordasini
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Jan Gralla
- From the University Institute of Diagnostic and Interventional Neuroradiology (J.K., F.Z., P.J.M., T.D., E.P., M.E.-K., P.M., J.G.)
| | - Urs Fischer
- Department of Neurology (J.K., M.G., S.B., M.A., S.J., U.F.), University Hospital Bern, University of Bern, Inselspital, Switzerland
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Zhu F, Lapergue B, Kyheng M, Blanc R, Labreuche J, Ben Machaa M, Duhamel A, Marnat G, Saleme S, Costalat V, Bracard S, Richard S, Desal H, Mazighi M, Consoli A, Piotin M, Gory B. Similar Outcomes for Contact Aspiration and Stent Retriever Use According to the Admission Clot Burden Score in ASTER. Stroke 2018; 49:1669-1677. [PMID: 29880554 DOI: 10.1161/strokeaha.118.021120] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 04/09/2018] [Accepted: 05/04/2018] [Indexed: 11/16/2022]
Affiliation(s)
- François Zhu
- From the Department of Diagnostic and Therapeutic Neuroradiology (F.Z., S.B., B.G.)
| | - Bertrand Lapergue
- Stroke Unit, University Hospital of Nancy, University of Lorraine, INSERM U1254, IADI, Nancy, France; Department of Stroke Center (B.L.)
| | - Maéva Kyheng
- Department of Biostatistics, University Lille, CHU Lille, EA 2694–Santé Publique: Epidémiologie et Qualité des Soins, France (M.K., J.L., A.D.)
| | - Raphael Blanc
- Foch Hospital, Suresnes, France; Department of Interventional Neuroradiology, Rothschild Foundation, Paris, France (R.B., M.B.M., M.M., M.P.)
| | - Julien Labreuche
- Department of Biostatistics, University Lille, CHU Lille, EA 2694–Santé Publique: Epidémiologie et Qualité des Soins, France (M.K., J.L., A.D.)
| | - Malek Ben Machaa
- Foch Hospital, Suresnes, France; Department of Interventional Neuroradiology, Rothschild Foundation, Paris, France (R.B., M.B.M., M.M., M.P.)
| | - Alain Duhamel
- Department of Biostatistics, University Lille, CHU Lille, EA 2694–Santé Publique: Epidémiologie et Qualité des Soins, France (M.K., J.L., A.D.)
| | - Gautier Marnat
- Department of Neuroradiology, University Hospital of Bordeaux, France (G.M.)
| | - Suzana Saleme
- Department of Interventional Neuroradiology, University Hospital of Limoges, France (S.S.)
| | - Vincent Costalat
- Department of Neuroradiology, Hôpital Gui de Chauliac, Montpellier, France (V.C.)
| | - Serge Bracard
- From the Department of Diagnostic and Therapeutic Neuroradiology (F.Z., S.B., B.G.)
| | | | - Hubert Desal
- Department of Neuroradiology, Guillaume et René Laennec University Hospital, Nantes, France (H.D.)
| | - Mikael Mazighi
- Foch Hospital, Suresnes, France; Department of Interventional Neuroradiology, Rothschild Foundation, Paris, France (R.B., M.B.M., M.M., M.P.)
| | | | - Michel Piotin
- Foch Hospital, Suresnes, France; Department of Interventional Neuroradiology, Rothschild Foundation, Paris, France (R.B., M.B.M., M.M., M.P.)
| | - Benjamin Gory
- From the Department of Diagnostic and Therapeutic Neuroradiology (F.Z., S.B., B.G.)
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28
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Alves HC, Treurniet KM, Dutra BG, Jansen IGH, Boers AMM, Santos EMM, Berkhemer OA, Dippel DWJ, van der Lugt A, van Zwam WH, van Oostenbrugge RJ, Lingsma HF, Roos YBWEM, Yoo AJ, Marquering HA, Majoie CBLM. Associations Between Collateral Status and Thrombus Characteristics and Their Impact in Anterior Circulation Stroke. Stroke 2018; 49:391-396. [PMID: 29321337 DOI: 10.1161/strokeaha.117.019509] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/21/2017] [Accepted: 11/27/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Thrombus characteristics and collateral score are associated with functional outcome in patients with acute ischemic stroke. It has been suggested that they affect each other. The aim of this study is to evaluate the association between clot burden score, thrombus perviousness, and collateral score and to determine whether collateral score influences the association of thrombus characteristics with functional outcome. METHODS Patients with baseline thin-slice noncontrast computed tomography and computed tomographic angiography images from the MR CLEAN trial (Multicenter Randomized Clinical Trial of Endovascular Treatment of Acute Ischemic Stroke in the Netherlands) were included (n=195). Collateral score and clot burden scores were determined on baseline computed tomographic angiography. Thrombus attenuation increase was determined by comparing thrombus density on noncontrast computed tomography and computed tomographic angiography using a semiautomated method. The association of collateral score with clot burden score and thrombus attenuation increase was evaluated with linear regression. Mediation and effect modification analyses were used to assess the influence of collateral score on the association of clot burden score and thrombus attenuation increase with functional outcome. RESULTS A higher clot burden score (B=0.063; 95% confidence interval, 0.008-0.118) and a higher thrombus attenuation increase (B=0.014; 95% confidence interval, 0.003-0.026) were associated with higher collateral score. Collateral score mediated the association of clot burden score with functional outcome. The association between thrombus attenuation increase and functional outcome was modified by the collateral score, and this association was stronger in patients with moderate and good collaterals. CONCLUSIONS Patients with lower thrombus burden and higher thrombus perviousness scores had higher collateral score. The positive effect of thrombus perviousness on clinical outcome was only present in patients with moderate and high collateral scores. CLINICAL TRIAL REGISTRATION URL: http://www.trialregister.nl. Unique identifier: NTR1804 and URL: http://www.controlled-trials.com Unique identifier: ISRCTN10888758.
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Affiliation(s)
- Heitor C Alves
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands.
| | - Kilian M Treurniet
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Bruna G Dutra
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Ivo G H Jansen
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Anna M M Boers
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Emilie M M Santos
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Olvert A Berkhemer
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Diederik W J Dippel
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Aad van der Lugt
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Wim H van Zwam
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Robert J van Oostenbrugge
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Hester F Lingsma
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Yvo B W E M Roos
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Albert J Yoo
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Henk A Marquering
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
| | - Charles B L M Majoie
- From the Department of Radiology and Nuclear Medicine (H.C.A., K.M.T, B.G.D., I.G.H.J., A.M.M.B., E.M.M.S., O.A.B., C.B.L.M.M.), Department of Biomedical Engineering and Physics (H.C.A, B.G.D., A.M.M.B., E.M.M.S., H.A.M.), and Department of Neurology (Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, the Netherlands; Department of Radiology (E.M.M.S., A.v.d.L.), Department of Medical Informatics (E.M.M.S., W.J.N.), Department of Neurology (O.A.B., D.W.J.D.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Robotics and Mechatronics, University of Twente, the Netherlands (A.M.M.B.); Division of Interventional Neuroradiology, Department of Radiology, Texas Stroke Institute, Plano (A.J.Y.); and Department of Radiology (W.H.v.Z., O.A.B.), Department of Neurology (R.J.v.O.), and Cardiovascular Research Institute Maastricht (W.H.v.Z., R.J.v.O.), Maastricht University MC, the Netherlands
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Predictive value of thrombus volume for recanalization in stent retriever thrombectomy. Sci Rep 2017; 7:15938. [PMID: 29162921 PMCID: PMC5698357 DOI: 10.1038/s41598-017-16274-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 11/09/2017] [Indexed: 12/16/2022] Open
Abstract
This retrospective study investigated whether the volume or density of the thrombus is predictive of recanalization in stent retriever (SR) treatment. Consecutive patients treated with SR thrombectomy as the first endovascular modality were enrolled. The thrombus volume and density were measured on thin-section noncontrast computed tomography using 3-dimensional software. The patients were grouped by recanalization status and the number of SR passes. Among 165 patients, recanalization was achieved with the first pass in 68 (50.0%), 2–3 passes in 43 (31.6%), and ≥4 passes in 25 (18.4%) patients. The thrombus volume was smaller in patients with (107.5 mm3) than without (173.7 mm3, p = 0.025) recanalization, and tended to be larger with increasing number of passes (p for trend = 0.001). The thrombus volume was an independent predictor of first-pass recanalization (odds ratio 0.93 per 10 mm3, 95% confidence interval 0.89–0.97). However, the thrombus density was not associated with recanalization success. Recanalization within 3 passes was associated with a favorable outcome. In conclusion, the thrombus volume was significantly related to recanalization in SR thrombectomy. Measuring the thrombus volume was particularly predictive of first-pass recanalization, which was associated with a higher likelihood of a favorable outcome.
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30
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Clinical implications of CT hyperdense artery sign in patients with acute middle cerebral artery occlusion in the era of modern mechanical thrombectomy. J Neurol 2017; 264:2450-2456. [PMID: 29075836 DOI: 10.1007/s00415-017-8655-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 10/17/2017] [Accepted: 10/21/2017] [Indexed: 12/28/2022]
Abstract
The clinical implications of the CT hyperdense artery sign have yet to be established in the new era of modern mechanical thrombectomy. This study aimed to investigate prognostic implications of the CT hyperdense middle cerebral artery sign (HMCAS) on treatment outcomes after mechanical thrombectomy for acute MCA occlusions. A retrospective analysis of CT and clinical data from 212 patients with acute MCA occlusions who underwent mechanical thrombectomy was conducted. HMCAS was determined with visual assessment by consensus of two readers. Interobserver agreement was measured. HMCAS was classified into two groups: M1 and M2 HMCAS. Associations between HMCAS and vascular risk factors, stroke etiology, and treatment outcomes were analyzed. Of 212 patients, HMCAS was identified in 118 patients (55.7%). Overall, successful reperfusion was achieved in 82.5% (175/212) and a good outcome in 45.8% (97/212). There was no significant association between HMCAS and treatment outcomes after mechanical thrombectomy, regardless of HMCAS location. Cardioembolism was more frequent in patients with a positive HMCAS (67.8 vs 48.9%, P = 0.005). Large-artery atherosclerosis was more frequent in patients with a negative HMCAS (31.9 vs 12.7%, P = 0.001). Underlying severe MCA stenosis was more frequently observed in patients with a negative HMCAS (25.5 vs 3.4%, P < 0.001). Our study suggests that the prognostic implication of a HMCAS in predicting outcomes after endovascular therapy in patients with acute MCA occlusion may be low in the era of modern mechanical thrombectomy. Negative HMCAS is predictive of in situ thrombotic occlusion due to underlying severe atherosclerotic stenosis in such patients.
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31
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Pikija S, Magdic J, Killer-Oberpfalzer M, Florea C, Hauer L, Novak HF, McCoy MR, Sellner J. Proximal flow to middle cerebral artery is associated with higher thrombus density in terminal internal carotid artery occlusion. Ann Clin Transl Neurol 2017; 4:517-521. [PMID: 28695152 PMCID: PMC5497529 DOI: 10.1002/acn3.429] [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: 03/27/2017] [Revised: 04/20/2017] [Accepted: 05/15/2017] [Indexed: 12/04/2022] Open
Abstract
Proximal collaterals may determine the composition of occluding thrombi in acute ischemic stroke (AIS) in addition to source, hematocrit, time, and medication. Here, we performed a retrospective study of 39 consecutive patients with radiological evidence of I‐, L‐, and T‐type terminal internal carotid artery occlusion. Middle cerebral artery (MCA) thrombus density was assessed on noncontrast enhanced CT and proximal collaterals on CT angiography. In patients with presence of proximal collaterals to the MCA we detected more hyperdense clots (P = 0.003) and a higher frequency of leptomeningeal collaterals (P = 0.008). We expand the spectrum of factors that potentially determine clot perviousness and evolution of ischemic stroke.
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Affiliation(s)
- Slaven Pikija
- Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Jozef Magdic
- Department of Neurology University Medical Center Maribor Maribor Slovenia
| | - Monika Killer-Oberpfalzer
- Department of Neurology/Research Institute for Neurointervention Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Cristina Florea
- Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Larissa Hauer
- Department of Psychiatry and Psychotherapy Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Helmut F Novak
- Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Mark R McCoy
- Division of Neuroradiology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria
| | - Johann Sellner
- Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria.,Department of Neurology Klinikum rechts der Isar Technische Universität München München Germany
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