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Zhou L, Yu H, Bai J, Wang Y, Zhong Y, Jiang T, Dai Y. Predictive value of CT imaging features on the risk of hemorrhagic transformation after mechanical thrombectomy for acute ischemic stroke with large vessel obstruction. Biomed Eng Online 2025; 24:29. [PMID: 40050879 PMCID: PMC11887210 DOI: 10.1186/s12938-025-01359-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 02/22/2025] [Indexed: 03/09/2025] Open
Abstract
OBJECTIVE To investigate the predictive value of computer tomography (CT) imaging features for the risk of hemorrhagic transformation (HT) after mechanical thrombectomy for acute ischemic stroke with large vessel obstruction (AIS-LVO). METHODS A total of 135 patients with AIS-LVO diagnosed and treated in our hospital from August 2021 to May 2023 were selected as the research subjects. Their clinical data were retrospectively analyzed. Mechanical thrombectomy was performed in all patients. The patients were divided into the HT group (n = 27) and the non-HT group (n = 108) according to whether HT occurred within 24 h after thrombectomy. CT examination was performed after mechanical thrombectomy in the two groups, and the changes in CT imaging indexes in the two groups were observed. Logistic regression was used to analyze the influencing factors and a prediction model was constructed based on the influencing factors. The receiver operating characteristic (ROC) curve was established to analyze the predictive value. Additionally, ROC curve was used to analyze the diagnostic value of serum CT imaging features. RESULTS Compared with the non-HT group, the proportion of atrial fibrillation history in the HT group was significantly increased, and the National Institute of Health Stroke Scale (NIHSS) score and galectin-3 (Gal-3) level were significantly increased before thrombectomy (P < 0.01). Compared with the non-HT group, the proportion of exudation of contrast medium and Hyperdense Middle Cerebral Artery Sign (HMCAS) in the HT group was significantly increased, time to peak (TTP) was significantly prolonged, and cerebral blood flow (CBF) was significantly decreased (P < 0.001). The history of atrial fibrillation, NIHSS score before thrombectomy, Gal-3, contrast agent exudation, HMCAS, TTP and CBF were the influencing factors of postoperative HT after mechanical thrombectomy in AIS-LVO (P < 0.05). Based on the results of multivariate logistic regression analysis, a prediction model was established as follows: Logit (P) = -3.520 + 1.529 × history of atrial fibrillation + 0.968 × NIHSS score before thrombectomy + 0.806 × Gal-3 + 1.134 × contrast agent exudation + 2.146 × HMCAS + 0.684 × TTP-0.725 × CBF. The area under the curve (AUC) of the logistic prediction model for predicting HT after AIS-LVOLVO mechanical thrombectomy was 0.873 (95% CI 0.817-0.929) with a sensitivity of 78.75% and a specificity of 83.33%, indicating that the prediction model had good prediction efficiency. The AUC of TTP and CBF alone in predicting HT after mechanical thrombectomy in AIS-LVO patients was 0.728 and 0.736, respectively. The AUC of combined detection was 0.783, and the combined detection had a high diagnostic value for HT after mechanical thrombectomy in AIS-LVO patients. CONCLUSION The combined detection of TTP and CBF of CT imaging features had certain diagnostic value for HT in AIS-LVO patients after mechanical thrombectomy. The logistic prediction model based on these influencing factors had a high diagnostic value for HT after mechanical thrombectomy.
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Affiliation(s)
- Linyu Zhou
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Hong Yu
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Jianbing Bai
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Yang Wang
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Yingqiang Zhong
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Tao Jiang
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China
| | - Yongqing Dai
- Department of Neurosurgery, Affiliated Hospital 3201, Xi'an Jiaotong University, No. 783, Tianhan Avenue, Hanzhong, 723000, Shaanxi, China.
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Tan Y, Mao Z, Li Z, Fan H. Predictors of distal embolization during thrombectomy for anterior circulation large vessel bifurcation occlusion stroke. J Neurointerv Surg 2025:jnis-2024-022415. [PMID: 39481885 DOI: 10.1136/jnis-2024-022415] [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: 08/24/2024] [Accepted: 10/03/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND Distal embolization is a frequent complication of mechanical thrombectomy (MT) for acute ischemic stroke, often leading to poor clinical outcomes. The vascular bifurcations represent a specialized anatomical location, thereby augmenting the complexity of MT. The specific factors contributing to distal embolization in this context have not been thoroughly explored. This study seeks to identify the factors associated with distal embolization during MT in patients with anterior circulation large vessel bifurcation occlusion stroke. METHODS A retrospective analysis was conducted on patients who underwent MT for acute anterior circulation bifurcation occlusion stroke between January 2015 and December 2023. Baseline characteristics, procedural details, and clinical outcomes were assessed. Univariate and multivariable analyses were performed to identify predictors of distal embolization during MT. RESULTS The study included 119 patients. Univariate analysis revealed significant associations between distal embolization and occlusion location, internal carotid artery (ICA) tortuosity, first-line thrombectomy strategy, and the number of device passes. Multivariate analysis identified ICA bifurcation occlusions (odds ratio (OR) 3.21, 95% confidence interval (CI) 1.188 to 8.672, P=0.021), stent retriever thrombectomy (SRT) (OR 6.177, 95% CI 1.77 to 21.555, P=0.004), and a higher number of device passes (OR 1.778, 95% CI 1.132 to 2.792, P=0.013) as independent predictors of distal embolization. CONCLUSIONS ICA bifurcation occlusion, the use of SRT, and an increased number of device passes are significant predictors of distal embolization during MT in patients with anterior circulation large vessel bifurcation occlusion strokes.
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Affiliation(s)
- Yanping Tan
- Neurology, Jinan University Affiliated Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
| | - Zhenlin Mao
- Neurology, Jinan University Affiliated Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
| | - Zhenhui Li
- Neurology, Jinan University Affiliated Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
| | - Hongxing Fan
- Neurology, Jinan University Affiliated Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
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Yan Y, Zhang K, Zhong W, Yan S, Zhang B, Cheng J, Lou M. Influencing factors of futile recanalization after endovascular intervention in patients with acute basilar artery occlusion. Zhejiang Da Xue Xue Bao Yi Xue Ban 2024; 53:141-150. [PMID: 38501295 PMCID: PMC11057989 DOI: 10.3724/zdxbyxb-2023-0425] [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: 09/24/2023] [Accepted: 12/21/2023] [Indexed: 03/20/2024]
Abstract
OBJECTIVES To explore the influence factors for futile recanalization following endovascular treatment (EVT) in patients with acute basilar artery occlusion (BAO). METHODS Clinical data of patients with acute BAO, who underwent endovascular treatment within 24 h of onset from January 2017 to November 2022, were retrospectively analyzed. The futile recanalization was defined as modified thrombolysis in cerebral infarction (mTICI) grade ≥2b or 3 after successful reperfusion, but the modified Rankin Scale score >2 at 3 months after EVT. Binary logistic regression model was used to analyze the influencing factors of futile recanalization. RESULTS A total of 471 patients with a median age of 68 (57, 74) years were included and 68.9% were males, among whom 298 (63.27%) experienced futile recanalization. Multivariate analysis revealed that concomitant atrial fibrillation (OR=0.456, 95%CI: 0.282-0.737, P<0.01), bridging thrombolysis (OR=0.640, 95%CI: 0.416-0.985, P<0.05), achieving mTICI grade 3 (OR=0.554, 95%CI: 0.334-0.918, P<0.05), arterial occlusive lesion (AOL) grade 3 (OR=0.521, 95%CI: 0.326-0.834, P<0.01), and early postoperative statin therapy (OR=0.509, 95%CI: 0.273-0.948, P<0.05) were protective factors for futile recanalization after EVT in acute BAO patients. High baseline National Institutes of Health Stroke Scale (NIHSS) score (OR=1.068, 95%CI: 1.049-1.087, P<0.01), coexisting hypertension (OR=1.571, 95%CI: 1.017-2.427, P<0.05), multiple retrieval attempts (OR=1.237, 95%CI: 1.029-1.488, P<0.05) and postoperative hemorrhagic transformation (OR=8.497, 95%CI: 2.879-25.076, P<0.01) were risk factors. For trial of ORG 10172 in acute stroke treatment (TOAST) classification, cardiogenic embolism (OR=0.321, 95%CI: 0.193-0.534, P<0.01) and other types (OR=0.499, 95%CI: 0.260-0.961, P<0.05) were related to lower incidence of futile recanalization. CONCLUSIONS The incidence of futile recanalization after EVT in patients with acute BAO is high. Bridging venous thrombolysis before operation and an early postoperative statin therapy may reduce the incidence of futile recanalization.
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Affiliation(s)
- Yi Yan
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- Department of Neurology, Zhenhai People's Hospital, Ningbo 315202, Zhejiang Province, China.
| | - Kemeng Zhang
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Wansi Zhong
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Shenqiang Yan
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Bing Zhang
- Department of Neurology, Huzhou Central Hospital, Huzhou 313099, Zhejiang Province, China
| | - Jianhua Cheng
- Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, Zhejiang Province, China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
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Sahin C, Giraud A, Jabrah D, Patil S, Messina P, Bozsak F, Darcourt J, Sacchetti F, Januel AC, Bellanger G, Pagola J, Juega J, Imamura H, Ohta T, Spelle L, Chalumeau V, Mircic U, Stanarčević P, Vukašinović I, Ribo M, Sakai N, Cognard C, Doyle K. Electrical impedance measurements can identify red blood cell-rich content in acute ischemic stroke clots ex vivo associated with first-pass successful recanalization. Res Pract Thromb Haemost 2024; 8:102373. [PMID: 38617048 PMCID: PMC11015511 DOI: 10.1016/j.rpth.2024.102373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/07/2024] [Indexed: 04/16/2024] Open
Abstract
Background Electrochemical impedance spectroscopy can determine characteristics such as cell density, size, and shape. The development of an electrical impedance-based medical device to estimate acute ischemic stroke (AIS) clot characteristics could improve stroke patient outcomes by informing clinical decision making. Objectives To assess how well electrical impedance combined with machine learning identified red blood cell (RBC)-rich composition of AIS clots ex vivo, which is associated with a successfully modified first-pass effect. Methods A total of 253 clots from 231 patients who underwent thrombectomy in 5 hospitals in France, Japan, Serbia, and Spain between February 2021 and October 2023 were analyzed in the Clotbase International Registry. Electrical impedance measurements were taken following clot retrieval by thrombectomy, followed by Martius Scarlet Blue staining. The clot components were quantified via Orbit Image Analysis, and RBC percentages were correlated with the RBC estimations made by the electrical impedance machine learning model. Results Quantification by Martius Scarlet Blue staining identified RBCs as the major component in clots (RBCs, 37.6%; white blood cells, 5.7%; fibrin, 25.5%; platelets/other, 30.3%; and collagen, 1%). The impedance-based RBC estimation correlated well with the RBC content determined by histology, with a slope of 0.9 and Spearman's correlation of r = 0.7. Clots removed in 1 pass were significantly richer in RBCs and clots with successful recanalization in 1 pass (modified first-pass effect) were richer in RBCs as assessed using histology and impedance signature. Conclusion Electrical impedance estimations of RBC content in AIS clots are consistent with histologic findings and may have potential for clinically relevant parameters.
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Affiliation(s)
- Cansu Sahin
- Department of Physiology, University of Galway, Galway, Ireland
- Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland
| | | | - Duaa Jabrah
- Department of Physiology, University of Galway, Galway, Ireland
| | - Smita Patil
- Department of Physiology, University of Galway, Galway, Ireland
- Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland
| | | | | | - Jean Darcourt
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France
| | - Federico Sacchetti
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France
| | - Anne-Christine Januel
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France
| | - Guillaume Bellanger
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France
| | - Jorge Pagola
- Department of Neurology, University Hospital Vall d’Hebron, Barcelona, Spain
| | - Jesus Juega
- Department of Neurology, University Hospital Vall d’Hebron, Barcelona, Spain
| | - Hirotoshi Imamura
- Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Tsuyoshi Ohta
- Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Laurent Spelle
- Department of Interventional Neuroradiology, Bicêtre Hospital, Le Kremlin-Bicêtre, France
| | - Vanessa Chalumeau
- Department of Interventional Neuroradiology, Bicêtre Hospital, Le Kremlin-Bicêtre, France
| | - Uros Mircic
- Department of Neuroradiology, Centre for Radiology and Magnetic Resonance Imaging (MRI), University Clinical Center of Serbia, Belgrade, Serbia
| | | | - Ivan Vukašinović
- Department of Neuroradiology, Centre for Radiology and Magnetic Resonance Imaging (MRI), University Clinical Center of Serbia, Belgrade, Serbia
| | - Marc Ribo
- Department of Neurology, University Hospital Vall d’Hebron, Barcelona, Spain
| | - Nobuyuki Sakai
- Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Christophe Cognard
- Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France
| | - Karen Doyle
- Department of Physiology, University of Galway, Galway, Ireland
- Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland
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