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Wu X, Chen T, Han Y, Wang K, Zhou J. Left atrial myxoma as a rare cause of stroke. Heliyon 2024; 10:e23897. [PMID: 38223711 PMCID: PMC10784162 DOI: 10.1016/j.heliyon.2023.e23897] [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: 02/01/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 01/16/2024] Open
Abstract
Cerebrovascular events may attribute to the fragmentation of a cardiac tumor. Due to the small number of reported cases of large vascular occlusion-acute ischemic stroke (LVO-AIS) associated with atrial myxoma, current guidelines still follow the principle of intravenous thrombolysis priority, even if LVO-AIS patients are eligible for mechanical thrombectomy, and have not recommended the timing of cardiac surgery or preoperative anticoagulation and antithrombotic therapy. Surgical removal is the definitive therapy for cardiac myxomas, especially for left-sided myxomas. With this case, we aim to demonstrate the main challenges that clinicians may encounter when dealing with patients with AIS secondary to cardiac myxoma: the difficulties with clinical diagnosis, strategies for reperfusion therapy, and therapeutic management of cardiac myxoma.
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Affiliation(s)
- Xindi Wu
- Department of Intensive Care Unit, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Tongyu Chen
- Department of Cardiothoracic Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Yan Han
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Ke Wang
- Department of Clinical Research Institute of Acupuncture and Anaesthetic, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
| | - Jia Zhou
- Department of Cardiothoracic Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
- Department of Clinical Research Institute of Acupuncture and Anaesthetic, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai Traditional Chinese Medicine, Shanghai, China
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Shen L, Lu X, Wang H, Wu G, Guo Y, Zheng S, Ren L, Zhang H, Huang L, Ren B, Zhu J, Xia S. Impaired T1 mapping and Tmax during the first 7 days after ischemic stroke. A retrospective observational study. J Stroke Cerebrovasc Dis 2023; 32:107383. [PMID: 37844455 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107383] [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: 06/29/2023] [Revised: 09/14/2023] [Accepted: 09/19/2023] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVE To measure the relative T1 (rT1) value in different hypo-perfused regions after ischemic stroke using T1 mapping derived by Strategically Acquired Gradient Echo (STAGE) and assess its relationship with onset time and severity of ischemia. MATERIALS AND METHODS Sixty-three patients with acute anterior circulation ischemic stroke from 2017 to 2022 who underwent STAGE, diffusion weighted imaging (DWI) and dynamic susceptibility contrast perfusion weighted imaging (DSC-PWI) within 7 days were retrospectively enrolled. The areas with reduced diffusion and hypo-perfusion were segmented based on apparent diffusion coefficient (ADC) value < 0.62 × 10-3mm2/s and time-to-maximum (Tmax) thresholds (4, 6, 8, and 10 seconds). We measured the T1 value in the diffusion reduced and every 2 s Tmax strata regions and calculated rT1 (T1ipsi/T1contra) to explore the relationship between rT1 value, Tmax, and onset time. RESULTS rT1 value was increased in diffusion reduced (1.42) and hypo-perfused regions (1.02, 1.06, 1.12, 1.27, Tmax 4-6 s, 6-8 s, 8-10 s, > 10 s, respectively; all different from 1, P < 0.001). rT1 value was positively correlated with Tmax (rs = 0.61, P < 0.001) and onset time in area with reduced diffusion (rs = 0.39, P = 0.014). CONCLUSIONS Increased rT1 value in different hypo-perfused brain regions using T1 mapping derived by STAGE may reflect the edema; it was associated with the severity of Tmax and showed a weak correlation with the onset time in diffusion reduced areas.
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Affiliation(s)
- Lianfang Shen
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Xiudi Lu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huiying Wang
- The School of Medicine, Nankai University, Tianjin, China
| | - Gemuer Wu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Yu Guo
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Shaowei Zheng
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lei Ren
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huanlei Zhang
- Department of Radiology, Yidu Central Hospital of Weifang, Qingzhou City, Shandong, China
| | - Lixiang Huang
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Bo Ren
- College of Computer Science, Nankai University, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, China
| | - Shuang Xia
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
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Lu W, Yao F, Yin C, Wan S, Liu X, He C, Leng X, Fiehler J, Siddiqui AH, Peng Y, Xiang J. Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study. J Neuroimaging 2023; 33:983-990. [PMID: 37737687 DOI: 10.1111/jon.13154] [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: 06/28/2023] [Revised: 08/09/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND AND PURPOSE This study was dedicated to investigating the agreement of the calculated results of two CT perfusion (CTP) postprocessing software packages, including parameter maps and ischemic volume, focusing on the infarct core volume (ICV) and penumbra volume (PV). METHODS A retrospective collection of 235 patients with acute ischemic stroke who underwent CTP examination were enrolled. All images had been analyzed with two software pipelines, RAPID CTP and AccuCTP, and the comparative analysis was based on ICV and PV results calculated by both software packages. The agreement of parameter maps was evaluated by root mean square error and Bland-Altman analysis. The ICV and PV agreement was evaluated by intraclass correlation coefficient (ICC) and Bland-Altman analysis. The accuracy of ICV and PV based on multiple thresholds was also analyzed. RESULTS The ICV and PV of AccuCTP and RAPID CTP show excellent agreement. The relative differences of the parameter maps were all within 10% and the Bland-Altman analysis also showed a strong agreement. From ordinary least squares fitting results, both ICV and PV had a remarkably high goodness of fit (ICV, R2 = 0.975 [p<.001]; PV, R2 = 0.964 [p<.001]). For the ICC analysis, both had high ICC scores (ICV ICC 0.984, 95% CI [confidence interval] 0.973-0.989; PV ICC 0.955, 95% CI 0.947-0.964). Furthermore, multi-threshold analysis on the basis of ICV and PV also achieved reliable analytical accuracy. CONCLUSIONS The image analysis results of AccuCTP are in excellent agreement with RAPID CTP and can be used as an alternative analysis tool to RAPID CTP software in stroke clinical practice.
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Affiliation(s)
- Wei Lu
- ArteryFlow Technology Co., Ltd., Hangzhou, China
| | - Feirong Yao
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Congguo Yin
- Department of Neurology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shu Wan
- Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xin Liu
- ArteryFlow Technology Co., Ltd., Hangzhou, China
| | - Chongxin He
- Department of Neurosurgery, The Third People's Hospital of Hefei, Hefei, China
| | | | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center, Hamburg-Eppendorf, Germany
| | - Adnan H Siddiqui
- Departments of Neurosurgery and Radiology, University at Buffalo, Buffalo, New York, USA
| | - Ya Peng
- Department of Neurosurgery, The First People's Hospital of Changzhou/The Third Affiliated Hospital of Soochow University, Changzhou, China
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Zhu C, Qin W, Xu J, Hu W. Perfusion deficits in thrombolysis-treated acute ischemic stroke patients with negative or positive diffusion-weighted imaging. BMC Neurol 2023; 23:380. [PMID: 37865726 PMCID: PMC10590031 DOI: 10.1186/s12883-023-03427-9] [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: 04/13/2023] [Accepted: 10/05/2023] [Indexed: 10/23/2023] Open
Abstract
OBJECTIVE Magnetic resonance imaging (MRI) and CT perfusion may provide diagnostic information for intravenous tissue-type plasminogen activator (IV t-PA) administration in acute ischemic stroke (AIS) patients. We aimed to compare the clinical features and perfusion deficits of diffusion weighted imaging (DWI)-negative and DWI-positive AIS patients. METHODS This retrospective and observational study included thrombolysis-treated AIS patients undergoing multimodel CT imaging before treatment and DWI after treatment between 2021 and 2022. Two experienced neuroradiologists blindly and independently examined the images to identify perfusion deficits in AIS patients. The patients were divided into DWI-positive and DWI-negative groups based on visible hyperintense lesions on DWI. A modified Rankin scale (mRS) score of ≤ 2 indicated good functional outcomes at discharge. Sensitivity analysis was conducted to determine whether CT perfusion was an independent predictor of positive DWI imaging on follow-up. RESULTS This study included 151 patients, of whom 35 (23.2%) patients were DWI-negative on follow-up. These DWI-negative patients were less likely to have a medical history of atrial fibrillation; they had lower triglyceride levels, a shorter admission time, lower National Institutes of Health Stroke Scale (NIHSS) scores after IV t-PA and lower mRS scores at discharge, and had better functional outcomes. A total of 37.1% of DWI-positive and 25.7% of DWI-negative patients had vascular stenosis (P = 0.215). A total of 47.4% of DWI-positive and 37.1% of DWI-negative patients had CT perfusion deficits (P = 0.284). A total of 73.5% of patients with normal CT perfusion had positive DWI, while 19.1% of patients with perfusion deficits had negative DWI. The sensitivity and specificity of NCCT were 14.8% and 97.1% (Kappa = 0.061, P = 0.074), CTP was 47.4% and 62.9% for predicting DWI lesion (Kappa = 0.069, P = 0.284). CONCLUSIONS About 23.2% of AIS patients who received intravenous thrombolysis treatment did not have a relevant DWI-MRI lesion on follow-up. Over one-third of patients in the DWI-MRI negative group showed CT perfusion deficits, with a sensitivity of 47.4% for predicting DWI lesions in non-mechanical thrombectomy patients.
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Affiliation(s)
- Cuiting Zhu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, P.R. China
| | - Wei Qin
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, P.R. China
| | - Jihua Xu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, P.R. China
| | - Wenli Hu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, P.R. China.
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Gao J, Zhang L, Lin J, Yang J, Yao M, Cheng Z, Cai X, Huang L. Stroke recurrence is associated with unfavorable intracranial venous outflow in patients with symptomatic intracranial atherosclerotic large vessel severe stenosis or occlusion. Front Neurol 2023; 14:1156315. [PMID: 37228413 PMCID: PMC10203233 DOI: 10.3389/fneur.2023.1156315] [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: 02/01/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023] Open
Abstract
Objective The purpose of this study was to investigate the predictive value of intracranial venous outflow for recurrent cerebral ischemic events (RCIE) in patients with symptomatic intracranial atherosclerotic large-vessel severe stenosis or occlusion (sICAS-S/O). Methods This retrospective study included sICAS-S/O patients with anterior circulation who underwent dynamic computed tomography angiography (dCTA) and computed tomography perfusion (CTP). Arterial collaterals were evaluated using the pial arterial filling score for dCTA data, tissue-level collaterals (TLC) were assessed using the high-perfusion intensity ratio (HIR, Tmax >10 s/Tmax >6 s), and cortical veins were evaluated using the multi-phase venous score (MVS) for the vein of Labbé (VOL), sphenoparietal sinus (SPS), and superficial cerebral middle vein (SCMV). The relationships between multi-phase venous outflow (mVO), TLC, and 1-year RCIE were analyzed. Results Ninety-nine patients were included, 37 of whom had unfavorable mVO (mVO-) and 62 of whom had favorable mVO (mVO+). Compared with the mVO+ patients, mVO- patients had a higher admission National Institutes of Health Stroke Scale (NIHSS) score (median, 4 [interquartile range (IQR), 0-9] vs. 1 [IQR, 0-4]; p = 0.048), larger ischemic volume (median, 74.3 [IQR, 10.1-177.9] vs. 20.9 [IQR, 5-86.4] mL; p = 0.042), and worse tissue perfusion (median, 0.04 [IQR, 0-0.17] vs. 0 [IQR, 0-0.03]; p = 0.007). Multivariate regression analysis showed that mVO- was an independent predictor of 1-year RCIE. Conclusion For patients with sICAS-S/O of the anterior circulation, unfavorable intracranial venous outflow is a potential imaging indicator for predicting higher 1-year RCIE risk.
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Affiliation(s)
- Jiali Gao
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Liang Zhang
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiaxin Lin
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiajie Yang
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Mingzheng Yao
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhongyuan Cheng
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Xiangran Cai
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Li’an Huang
- Department of Neurology, Clinical Neuroscience Institute, First Affiliated Hospital of Jinan University, Guangzhou, China
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Dittrich TD, Sporns PB, Kriemler LF, Rudin S, Nguyen A, Zietz A, Polymeris AA, Tränka C, Thilemann S, Wagner B, Altersberger VL, Piot I, Barinka F, Müller S, Hänsel M, Gensicke H, Engelter ST, Lyrer PA, Sutter R, Nickel CH, Katan M, Peters N, Kulcsár Z, Karwacki GM, Pileggi M, Cereda C, Wegener S, Bonati LH, Fischer U, Psychogios M, De Marchis GM. Mechanical Thrombectomy Versus Best Medical Treatment in the Late Time Window in Non-DEFUSE-Non-DAWN Patients: A Multicenter Cohort Study. Stroke 2023; 54:722-730. [PMID: 36718751 PMCID: PMC10561685 DOI: 10.1161/strokeaha.122.039793] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/21/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND We assessed the efficacy and safety of mechanical thrombectomy (MT) in adult stroke patients with anterior circulation large vessel occlusion presenting in the late time window not fulfilling the DEFUSE-3 (Thrombectomy for Stroke at 6 to 16 Hours With Selection by Perfusion Imaging trial) and DAWN (Thrombectomy 6 to 24 Hours After Stroke With a Mismatch Between Deficit and Infarct trial) inclusion criteria. METHODS Cohort study of adults with anterior circulation large vessel occlusion admitted between 6 and 24 hours after last-seen-well at 5 participating Swiss stroke centers between 2014 and 2021. Mismatch was assessed by computer tomography or magnetic resonance imaging perfusion with automated software (RAPID or OLEA). We excluded patients meeting DEFUSE-3 and DAWN inclusion criteria and compared those who underwent MT with those receiving best medical treatment alone by inverse probability of treatment weighting using the propensity score. The primary efficacy end point was a favorable functional outcome at 90 days, defined as a modified Rankin Scale score shift toward lower categories. The primary safety end point was symptomatic intracranial hemorrhage within 7 days of stroke onset; the secondary was all-cause mortality within 90 days. RESULTS Among 278 patients with anterior circulation large vessel occlusion presenting in the late time window, 190 (68%) did not meet the DEFUSE-3 and DAWN inclusion criteria and thus were included in the analyses. Of those, 102 (54%) received MT. In the inverse probability of treatment weighting analysis, patients in the MT group had higher odds of favorable outcomes compared with the best medical treatment alone group (modified Rankin Scale shift: acOR, 1.46 [1.02-2.10]; P=0.04) and lower odds of all-cause mortality within 90 days (aOR, 0.59 [0.37-0.93]; P=0.02). There were no significant differences in symptomatic intracranial hemorrhage (MT versus best medical treatment alone: 5% versus 2%, P=0.63). CONCLUSIONS Two out of 3 patients with anterior circulation large vessel occlusion presenting in the late time window did not meet the DEFUSE-3 and DAWN inclusion criteria. In these patients, MT was associated with higher odds of favorable functional outcomes without increased rates of symptomatic intracranial hemorrhage. These findings support the enrollment of patients into ongoing randomized trials on MT in the late window with more permissive inclusion criteria.
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Affiliation(s)
- Tolga D Dittrich
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Peter B Sporns
- Department of Neuroradiology, University Hospital Basel, Switzerland (P.B.S., A.N., M.P.)
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (P.B.S.)
| | - Lilian F Kriemler
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
- Clinic for Internal Medicine, Cantonal Hospital Schaffhausen, Switzerland (L.F.K.)
| | - Salome Rudin
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Anh Nguyen
- Department of Neuroradiology, University Hospital Basel, Switzerland (P.B.S., A.N., M.P.)
| | - Annaelle Zietz
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Alexandros A Polymeris
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Christopher Tränka
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Sebastian Thilemann
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Benjamin Wagner
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Valerian L Altersberger
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Ines Piot
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Filip Barinka
- Department of Neurology and Stroke Center, Hirslanden Hospital Zurich, Switzerland (F.B., N.P.)
| | - Susanne Müller
- Department of Neuroradiology, University Hospital Zurich, Switzerland (S.M.)
| | - Martin Hänsel
- Department of Neurology, University Hospital Zurich and University of Zurich, Switzerland (M.H., S.W.)
| | - Henrik Gensicke
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, Basel, Switzerland (H.G., S.T.E.)
| | - Stefan T Engelter
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, Basel, Switzerland (H.G., S.T.E.)
| | - Philippe A Lyrer
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Raoul Sutter
- Department of Intensive Care Medicine, University Hospital Basel, Switzerland (R.S.)
| | - Christian H Nickel
- Emergency Department University Hospital Basel and University of Basel, Switzerland (C.H.N.)
| | - Mira Katan
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Nils Peters
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
- Department of Neurology and Stroke Center, Hirslanden Hospital Zurich, Switzerland (F.B., N.P.)
| | - Zsolt Kulcsár
- Department of Neuroradiology, University Hospital Zurich, Switzerland (Z.K.)
| | - Grzegorz M Karwacki
- Department of Radiology and Nuclear Medicine, Cantonal Hospital of Lucerne, Switzerland (G.M.K.)
| | - Marco Pileggi
- Department of Neuroradiology, University Hospital Basel, Switzerland (P.B.S., A.N., M.P.)
| | - Carlo Cereda
- Department of Neurology and Stroke Center, EOC Neurocenter of Southern Switzerland, Lugano, Switzerland (C.C.)
| | - Susanne Wegener
- Department of Neurology, University Hospital Zurich and University of Zurich, Switzerland (M.H., S.W.)
| | - Leo H Bonati
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
- Rheinfelden Rehabilitation Clinic, Switzerland (L.H.B.)
| | - Urs Fischer
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
| | - Marios Psychogios
- Department of Neuroradiology, EOC Neurocenter of Southern Switzerland, Lugano, Switzerland (M.P.)
| | - Gian Marco De Marchis
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland (T.D.D., L.F.K., S.R., A.Z., A.A.P., C.T., S.T., B.W., V.L.A., I.P., H.G., S.T.E., P.A.L., M.K., N.P., L.H.B., U.F., G.M.D.M.)
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Huang J, Chen J, Wang X, Hao L, Zhang J, Zhang X, Sheng Z, Liu K. The diagnostic value of quantitative parameters on dual-layer detector-based spectral CT in identifying ischaemic stroke. Front Neurol 2023; 14:1056941. [PMID: 36908613 PMCID: PMC9996291 DOI: 10.3389/fneur.2023.1056941] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/03/2023] [Indexed: 02/25/2023] Open
Abstract
Objective To investigate the diagnostic value of quantitative parameters of spectral computed tomography (CT) in ischaemic stroke areas. Methods The medical records of 57 patients with acute ischaemic stroke (AIS) who underwent plain computed tomography (CT) head scans, CT angiography (CTA), and CT perfusion (CTP) were retrospectively reviewed. The ischaemic areas (including the core infarct area and penumbra) and non-ischaemic areas in each patient were quantitatively analyzed using F-STROKE software. Two independent readers measured the corresponding values of the spectroscopic quantitative parameters (effective atomic number [Zeff value], iodine density value, and iodine-no-water value) in the ischaemic area and contralateral normal area alone. The differences in spectroscopic quantitative parameters between the two groups were compared, and their diagnostic efficacy was obtained. Results The Zeff, iodine-no-water value, and iodine density value of the ischaemic area all showed significant lower than those of non-ischaemic tissue (P < 0.001). For differentiating the ischaemic area from non-ischaemic tissue, the area under the curve (AUC) of the Zeff value reached 0.869 (cut-off value: 7.385; sensitivity: 93.0%; specificity: 70.2%), the AUC of the iodine density value reached 0.932 (cut-off value: 0.235; sensitivity: 91.2%; specificity: 82.5%), and the AUC of the iodine-no-water value reached 0.922 (cut-off value: 0.205; sensitivity: 96.5%; specificity: 78.9%). Conclusion The study showed the spectral CT would be a potential novel rapid method for identifying AIS. The spectral CT quantitative parameters (Zeff, iodine density values, and iodine-no-water values) can effectively differentiate the ischaemic area from non-ischaemic tissue in stroke patients.
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Affiliation(s)
- Jian Huang
- Department of Radiology, Taicang Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Taicang, Jiangsu, China.,Department of Radiology, Taicang Hospital, The Affiliated Hospital of Jiangsu Vocational College of Medicine, Yancheng, Jiangsu, China
| | - Jinghua Chen
- Department of Radiology, Taicang Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Taicang, Jiangsu, China.,Department of Radiology, Taicang Hospital, The Affiliated Hospital of Jiangsu Vocational College of Medicine, Yancheng, Jiangsu, China
| | - Ximing Wang
- Department of Radiology, First Affiliated Hospital of Suzhou University, Suzhou, Jiangsu, China
| | - Ling Hao
- Department of Radiology, Taicang Hospital, The Affiliated Hospital of Jiangsu Vocational College of Medicine, Yancheng, Jiangsu, China
| | - Jinfeng Zhang
- Department of Neurology, Taicang Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Taicang, Jiangsu, China
| | - Xiaohui Zhang
- Clinical Science, Philips Healthcare, Shanghai, China
| | | | - Kefu Liu
- Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
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8
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Yang W, Hoving JW, Koopman MS, Tolhuisen ML, van Voorst H, Berkheme OA, Coutinho JM, Beenen LFM, Emmer BJ. Agreement between estimated computed tomography perfusion ischemic core and follow-up infarct on diffusion-weighted imaging. Insights Imaging 2022; 13:191. [PMID: 36512159 DOI: 10.1186/s13244-022-01334-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Computed tomography perfusion (CTP) is frequently performed during the diagnostic workup of acute ischemic stroke patients. Yet, ischemic core estimates vary widely between different commercially available software packages. We assessed the volumetric and spatial agreement of the ischemic core on CTP with the follow-up infarct on diffusion-weighted imaging (DWI) using an automated software. METHODS We included successfully reperfused patients who underwent endovascular treatment (EVT) with CTP and follow-up DWI between November 2017 and September 2020. CTP data were processed with a fully automated software using relative cerebral blood flow (rCBF) < 30% to estimate the ischemic core. The follow-up infarct was segmented on DWI imaging data, which were acquired at approximately 24 h. Ischemic core on CTP was compared with the follow-up infarct lesion on DWI using intraclass correlation coefficient (ICC) and Dice similarity coefficient (Dice). RESULTS In 59 patients, the median estimated core volume on CTP was 16 (IQR 8-47) mL. The follow-up infarct volume on DWI was 11 (IQR 6-42) mL. ICC was 0.60 (95% CI 0.33-0.76), indicating moderate volumetric agreement. Median Dice was 0.20 (IQR 0.01-0.35). The median positive predictive value was 0.24 (IQR 0.05-0.57), and the median sensitivity was 0.3 (IQR 0.13-0.47). Severe core overestimation on computed tomography perfusion > 50 mL occurred in 4/59 (7%) of the cases. CONCLUSIONS In patients with successful reperfusion after EVT, CTP-estimated ischemic core showed moderate volumetric and spatial agreement with the follow-up infarct lesion on DWI, similar to the most used commercially available CTP software packages. Severe ischemic core overestimation was relatively uncommon.
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Affiliation(s)
- Wenjin Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China.,Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan W Hoving
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
| | - Miou S Koopman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Manon L Tolhuisen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.,Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.,Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Olvert A Berkheme
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
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9
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Zhang Z, Yang H, Tu Z, Nepal G, Ojha R, Xi Y, Qiao J, Hu M, Li C, Lin F, Zhou L, Jin P, Hou S. Multicentre registration of wake-up stroke in China (MCRWUSC): a protocol for a prospective, multicentre, registry-based cohort study. BMJ Open 2022; 12:e060818. [PMID: 36357004 PMCID: PMC9660665 DOI: 10.1136/bmjopen-2022-060818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Wake-up stroke (WUS) is a type of acute ischaemic stroke (AIS) that occurs during sleep with unknown time of symptom onset. The best treatment is usually not suitable for WUS, as thrombolysis is usually provided to patients who had a symptomatic AIS within a definite 4.5 hours, and WUS remains a therapeutic quandary. Efforts to explore the onset time characteristics of patients who had a WUS and the risk factors affecting poor prognosis support a role for providing new insights by performing multicentre cohort study. METHODS AND ANALYSIS This multicentre, nationwide prospective registry will include 21 comprehensive stroke centres, with a goal of recruiting 550 patients who had a WUS in China. In this study, clinical data including patient's clinical characteristics, stroke onset time, imaging findings, therapeutic interventions and prognosis (the National Institutes of Health Stroke Scale Score and the modified Rankin Scale Score at different time points) will be used to develop prediction models for stroke onset time and prognostic evaluation using the fast-processing of ischemic stroke software. The purpose of this study is to identify risk factors influencing prognosis, to investigate the relationship between the time when the symptoms are found and the actual onset time and to establish an artificial intelligence-based model to predict the prognosis of patients who had a WUS. ETHICS AND DISSEMINATION This study is approved by the ethics committee of Shanghai Pudong Hospital (Shanghai, China) and rest of all participating centres. The findings will be disseminated through peer-reviewed publications and conference presentations. PROSPERO REGISTRATION NUMBER ChiCTR2100049133.
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Affiliation(s)
- Zengyu Zhang
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Hualan Yang
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Zhilan Tu
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Gaurav Nepal
- Department of Internal Medicine, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Kathmandu, Nepal
| | - Rajeev Ojha
- Department of Neurology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Kathmandu, Nepal
| | - Yan Xi
- Department of Radiology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Jianlan Qiao
- Department of Radiology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Mengting Hu
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Chao Li
- School of Pharmacy, Hubei University of Science and Technology, Hubei, China
| | - Fuchun Lin
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Lili Zhou
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Pengpeng Jin
- Department of Chronic Disease Management, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Shuangxing Hou
- Department of Neurology, Shanghai Pudong Hospital, Fudan University, Shanghai, China
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10
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Lu Q, Fu J, Lv K, Han Y, Pan Y, Xu Y, Zhang J, Geng D. Agreement of three CT perfusion software packages in patients with acute ischemic stroke: A comparison with RAPID. Eur J Radiol 2022; 156:110500. [PMID: 36099834 DOI: 10.1016/j.ejrad.2022.110500] [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: 04/10/2022] [Revised: 08/07/2022] [Accepted: 08/22/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE To compare ischemic core volume (ICV) and penumbra volume (PV) measured by MIStar, F-STROKE, and Syngo.via with that measured by RAPID in acute ischemic stroke (AIS), and their concordance in selecting patients for endovascular thrombectomy (EVT). METHODS Computed tomography perfusion (CTP) data were processed with four software packages. Bland-Altman analysis and intraclass correlation coefficient (ICC) were performed to evaluate their agreement in quantifying ICV and PV. Kappa test was conducted to assess consistency in the selection of EVT candidates. The correlation between predicted ICV and segmented final infarct volume (FIV) on follow-up images was investigated. RESULTS A total of 91 patients were retrospectively included. F-STROKE had the best consistency with RAPID (ICV: ICC = 0.97; PV: ICC = 0.84) and Syngo.via had the worst consistency (ICV: ICC = 0.77; PV: ICC = 0.66). F-STROKE had the narrowest limits of agreements both in ICV (-27.02, 24.40 mL) and PV (-85.59, 101.80 mL). When selecting EVT candidates, MIStar (kappa = 0.71-0.88) and F-STROKE (kappa = 0.84-0.90) had good to excellent consistency with RAPID, while Syngo.via had poor consistency (kappa = 0.20-0.41). ICV predicted by MIStar was correlated strongest with FIV (r = 0.77). CONCLUSIONS F-STROKE is most consistent with RAPID in quantitative ICV and PV. F-STROKE and MIStar exhibit similar EVT candidate selection to RAPID. Syngo.via, for its part, seems to have overestimated ICV and underestimated PV, leading to an overly restrictive selection of EVT candidates.
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Affiliation(s)
- Qingqing Lu
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China; Department of Radiology, Ningbo First Hospital, Ningbo 315000, China
| | - Junyan Fu
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China
| | - Kun Lv
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China
| | - Yan Han
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China
| | - Yuning Pan
- Department of Radiology, Ningbo First Hospital, Ningbo 315000, China
| | - Yiren Xu
- Department of Radiology, Ningbo First Hospital, Ningbo 315000, China
| | - Jun Zhang
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Shanghai 200040, China.
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200040, China; Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Reasearch, Huashan Hospital, Fudan Universtiy, Shanghai 200040, China.
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11
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Cao F, Wang M, Fan S, Han S, Guo Y, Zaman A, Guo J, Luo Y, Kang Y. Cerebral Venous Oxygen Saturation in Hypoperfusion Regions May Become a New Imaging Indicator to Predict the Clinical Outcome of Stroke. Life (Basel) 2022; 12:life12091312. [PMID: 36143349 PMCID: PMC9504954 DOI: 10.3390/life12091312] [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: 08/01/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022] Open
Abstract
To automatically and quantitatively evaluate the venous oxygen saturation (SvO2) in cerebral ischemic tissues and explore its value in predicting prognosis. A retrospective study was conducted on 48 AIS patients hospitalized in our hospital from 2015−2018. Based on quantitative susceptibility mapping and perfusion-weighted imaging, this paper measured the cerebral SvO2 in hypoperfusion tissues and its change after intraarterial rt-PA treatment. The cerebral SvO2 in different hypoperfusion regions between the favorable and unfavorable clinical outcome groups was analyzed using an independent t-test. Relationships between cerebral SvO2 and clinical scores were determined using the Pearson correlation coefficient. The receiver operating characteristic process was conducted to evaluate the accuracy of cerebral SvO2 in predicting unfavorable clinical outcomes. Cerebral SvO2 in hypoperfusion (Tmax > 4 and 6 s) was significantly different between the two groups at follow-up (p < 0.05). Cerebral SvO2 and its changes before and after treatment were negatively correlated with clinical scores. The positive predictive value, negative predictive value, accuracy, and area under the curve of the cerebral SvO2 were higher than those predicted by the ischemic core. Therefore, the cerebral SvO2 of hypoperfusion regions was a stronger imaging predictor of unfavorable clinical outcomes after stroke.
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Affiliation(s)
- Fengqiu Cao
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
| | - Mingming Wang
- Department of Radiology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China
| | - Shengyu Fan
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
| | - Shanhua Han
- Department of Radiology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China
| | - Yingwei Guo
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
| | - Asim Zaman
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
- Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China
| | - Jia Guo
- Department of Psychiatry, Columbia University, New York, NY 10027, USA
- Correspondence: (J.G.); (Y.L.); (Y.K.); Tel.: +86-139-4047-2926 (Y.K.)
| | - Yu Luo
- Department of Radiology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China
- Correspondence: (J.G.); (Y.L.); (Y.K.); Tel.: +86-139-4047-2926 (Y.K.)
| | - Yan Kang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
- Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China
- School of Applied Technology, Shenzhen University, Shenzhen 518060, China
- Correspondence: (J.G.); (Y.L.); (Y.K.); Tel.: +86-139-4047-2926 (Y.K.)
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12
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Cao F, Wang M, Han S, Fan S, Guo Y, Yang Y, Luo Y, Guo J, Kang Y. Quantitative Distribution of Cerebral Venous Oxygen Saturation and Its Prognostic Value in Patients with Acute Ischemic Stroke. Brain Sci 2022; 12:brainsci12081109. [PMID: 36009171 PMCID: PMC9406002 DOI: 10.3390/brainsci12081109] [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: 07/03/2022] [Revised: 07/26/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
This study investigated the quantitative distribution of cerebral venous oxygen saturation (SvO2) based on quantitative sensitivity mapping (QSM) and determined its prognostic value in patients with acute ischemic stroke (AIS). A retrospective study was conducted on 39 hospitalized patients. Reconstructed QSM was used to calculate the cerebral SvO2 of each region of interest (ROI) in the ischemic hemisphere. The intraclass correlation coefficient (ICC) and Bland−Altman analysis were conducted to define the best resolution of the distribution map. The correlation between the cerebral SvO2 in hypoxic regions (SvO2ROI < 0.7) and clinical scores was obtained by Spearman and power analysis. The associations between cerebral SvO2 and unfavorable prognosis were analyzed using multivariate logistic regression. Excellent agreement was found between the cerebral SvO2 in hypoxic regions with a resolution of 7.18 × 7.18 × 1.6 mm3 and asymmetrically prominent cortical veins regions (ICC: 0.879 (admission), ICC: 0.906 (discharge)). The cerebral SvO2 was significantly negative with clinical scores (all |r| > 0.3). The cerebral SvO2 and its changes at discharge were significantly associated with an unfavorable prognosis (OR: 0.812 and 0.866). Therefore, the cerebral SvO2 in hypoxic regions measured by the quantitative distribution map can be used as an indicator for evaluating the early prognosis of AIS.
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Affiliation(s)
- Fengqiu Cao
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
| | - Mingming Wang
- Department of Radiology, School of Medicine, Shanghai Fourth People’s Hospital Affiliated to Tongji University, Shanghai 200434, China
| | - Shanhua Han
- Department of Radiology, School of Medicine, Shanghai Fourth People’s Hospital Affiliated to Tongji University, Shanghai 200434, China
| | - Shengyu Fan
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
| | - Yingwei Guo
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
| | - Yingjian Yang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
| | - Yu Luo
- Department of Radiology, School of Medicine, Shanghai Fourth People’s Hospital Affiliated to Tongji University, Shanghai 200434, China
- Correspondence: (Y.L.); (J.G.); (Y.K.); Tel.: +86-13-9404-72926 (Y.K.)
| | - Jia Guo
- Department of Psychiatry, Columbia University, New York, NY 10027, USA
- Correspondence: (Y.L.); (J.G.); (Y.K.); Tel.: +86-13-9404-72926 (Y.K.)
| | - Yan Kang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
- College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China
- Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China
- School of Applied Technology, Shenzhen University, Shenzhen 518060, China
- Correspondence: (Y.L.); (J.G.); (Y.K.); Tel.: +86-13-9404-72926 (Y.K.)
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13
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Zhou X, Nan Y, Ju J, Zhou J, Xiao H, Wang S. Comparison of Two Software Packages for Perfusion Imaging: Ischemic Core and Penumbra Estimation and Patient Triage in Acute Ischemic Stroke. Cells 2022; 11:cells11162547. [PMID: 36010624 PMCID: PMC9406974 DOI: 10.3390/cells11162547] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/20/2022] [Accepted: 08/12/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: Automated postprocessing packages have been developed for managing acute ischemic stroke (AIS). These packages identify ischemic core and penumbra using either computed tomographic perfusion imaging (CTP) data or magnetic resonance imaging (MRI) data. Measurements of abnormal tissues and treatment decisions derived from different vendors can vary. The purpose of this study is to investigate the agreement of volumetric and decision-making outcomes derived from two software packages. Methods: A total of 594 AIS patients (174 underwent CTP and 420 underwent MRI) were included. Imaging data were accordingly postprocessed by two software packages: RAPID and RealNow. Volumetric outputs were compared between packages by performing intraclass correlation coefficient (ICC), Wilcoxon paired test and Bland–Altman analysis. Concordance of selecting patients eligible for mechanical thrombectomy (MT) was assessed based on neuroimaging criteria proposed in DEFUSE3. Results: In the group with CTP data, mean ischemic core volume (ICV)/penumbral volume (PV) was 14.9/81.1 mL via RAPID and 12.6/83.2 mL via RealNow. Meanwhile, in the MRI group, mean ICV/PV were 52.4/68.4 mL and 48.9/61.6 mL via RAPID and RealNow, respectively. Reliability, which was measured by ICC of ICV and PV in CTP and MRI groups, ranged from 0.87 to 0.99. The bias remained small between measurements (CTP ICV: 0.89 mL, CTP PV: −2 mL, MRI ICV: 3.5 mL and MRI PV: 6.8 mL). In comparison with CTP ICV with follow-up DWI, the ICC was 0.92 and 0.94 for RAPID and Realnow, respectively. The bias remained small between CTP ICV and follow-up DWI measurements (Rapid: −4.65 mL, RealNow: −3.65 mL). Wilcoxon paired test showed no significant difference between measurements. The results of patient triage were concordant in 159/174 cases (91%, ICC: 0.90) for CTP and 400/420 cases (95%, ICC: 0.93) for MRI. Conclusion: The CTP ICV derived from RealNow was more accurate than RAPID. The similarity in volumetric measurement between packages did not necessarily relate to equivalent patient triage. In this study, RealNow showed excellent agreement with RAPID in measuring ICV and PV as well as patient triage.
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Affiliation(s)
- Xiang Zhou
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Rd., Shanghai 200065, China
| | - Yashi Nan
- YIWEI Medical Technology Co., Ltd., Room 1001, MAI KE LONG Building, Shenzhen 518000, China
| | - Jieyang Ju
- The Second Affiliated Hospital of Nanjing Medical University, 121 Jiangjiayuan Rd., Nanjing 210011, China
| | - Jingyu Zhou
- YIWEI Medical Technology Co., Ltd., Room 1001, MAI KE LONG Building, Shenzhen 518000, China
| | - Huanhui Xiao
- YIWEI Medical Technology Co., Ltd., Room 1001, MAI KE LONG Building, Shenzhen 518000, China
| | - Silun Wang
- YIWEI Medical Technology Co., Ltd., Room 1001, MAI KE LONG Building, Shenzhen 518000, China
- Correspondence:
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14
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Chalet L, Boutelier T, Christen T, Raguenes D, Debatisse J, Eker OF, Becker G, Nighoghossian N, Cho TH, Canet-Soulas E, Mechtouff L. Clinical Imaging of the Penumbra in Ischemic Stroke: From the Concept to the Era of Mechanical Thrombectomy. Front Cardiovasc Med 2022; 9:861913. [PMID: 35355966 PMCID: PMC8959629 DOI: 10.3389/fcvm.2022.861913] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/11/2022] [Indexed: 01/01/2023] Open
Abstract
The ischemic penumbra is defined as the severely hypoperfused, functionally impaired, at-risk but not yet infarcted tissue that will be progressively recruited into the infarct core. Early reperfusion aims to save the ischemic penumbra by preventing infarct core expansion and is the mainstay of acute ischemic stroke therapy. Intravenous thrombolysis and mechanical thrombectomy for selected patients with large vessel occlusion has been shown to improve functional outcome. Given the varying speed of infarct core progression among individuals, a therapeutic window tailored to each patient has recently been proposed. Recent studies have demonstrated that reperfusion therapies are beneficial in patients with a persistent ischemic penumbra, beyond conventional time windows. As a result, mapping the penumbra has become crucial in emergency settings for guiding personalized therapy. The penumbra was first characterized as an area with a reduced cerebral blood flow, increased oxygen extraction fraction and preserved cerebral metabolic rate of oxygen using positron emission tomography (PET) with radiolabeled O2. Because this imaging method is not feasible in an acute clinical setting, the magnetic resonance imaging (MRI) mismatch between perfusion-weighted imaging and diffusion-weighted imaging, as well as computed tomography perfusion have been proposed as surrogate markers to identify the penumbra in acute ischemic stroke patients. Transversal studies comparing PET and MRI or using longitudinal assessment of a limited sample of patients have been used to define perfusion thresholds. However, in the era of mechanical thrombectomy, these thresholds are debatable. Using various MRI methods, the original penumbra definition has recently gained a significant interest. The aim of this review is to provide an overview of the evolution of the ischemic penumbra imaging methods, including their respective strengths and limitations, as well as to map the current intellectual structure of the field using bibliometric analysis and explore future directions.
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Affiliation(s)
- Lucie Chalet
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Olea Medical, La Ciotat, France
| | | | - Thomas Christen
- Grenoble Institut Neurosciences, INSERM, U1216, Univ. Grenoble Alpes, Grenoble, France
| | | | - Justine Debatisse
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Omer Faruk Eker
- CREATIS, CNRS UMR-5220, INSERM U1206, Université Lyon 1, Villeurbanne, France
- Neuroradiology Department, Hospices Civils of Lyon, Lyon, France
| | - Guillaume Becker
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Norbert Nighoghossian
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Stroke Department, Hospices Civils of Lyon, Lyon, France
| | - Tae-Hee Cho
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Stroke Department, Hospices Civils of Lyon, Lyon, France
| | - Emmanuelle Canet-Soulas
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Laura Mechtouff
- Univ Lyon, CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Stroke Department, Hospices Civils of Lyon, Lyon, France
- *Correspondence: Laura Mechtouff
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Wang C, Shi Z, Yang M, Huang L, Fang W, Jiang L, Ding J, Wang H. Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA. J Cereb Blood Flow Metab 2021; 41:3028-3038. [PMID: 34102912 PMCID: PMC8756471 DOI: 10.1177/0271678x211023660] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The accurate identification of irreversible infarction and salvageable tissue is important in planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic perfusion (CTP) can be used to evaluate the ischemic core and deficit, covering most of the territories of anterior circulation, but many community hospitals and primary stroke centers do not have the capability to perform CTP scan in emergency situation. This study aimed to identify AIS lesions from widely available non-contrast computed tomography (NCCT) and CT angiography (CTA) using deep learning. A total of 345AIS patients from our emergency department were included. A multi-scale 3D convolutional neural network (CNN) was used as the predictive model with inputs of NCCT, CTA, and CTA+ (8 s delay after CTA) images. An external cohort with 108 patients was included to further validate the generalization performance of the proposed model. Strong correlations with CTP-RAPID segmentations (r = 0.84 for core, r = 0.83 for deficit) were observed when NCCT, CTA, and CTA+ images were all used in the model. The diagnostic decisions according to DEFUSE3 showed high accuracy when using NCCT, CTA, and CTA+ (0.90±0.04), followed by the combination of NCCT and CTA (0.87±0.04), CTA-alone (0.76±0.06), and NCCT-alone (0.53±0.09).
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Affiliation(s)
- Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai, China.,Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Zhang Shi
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Ming Yang
- NeuroBlem Ltd. Co., Shanghai, China.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Lixiang Huang
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | | | - Li Jiang
- NeuroBlem Ltd. Co., Shanghai, China
| | - Jing Ding
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - He Wang
- Human Phenome Institute, Fudan University, Shanghai, China.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
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