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Huang ZL, Zhang JK, Prim M, Coppens J. Pseudoaneurysm as a differential for the computed tomography angiography “spot sign” in atypical presentations of intracerebral hemorrhage: illustrative case. JOURNAL OF NEUROSURGERY: CASE LESSONS 2022; 4:CASE22308. [PMID: 36345204 PMCID: PMC9644414 DOI: 10.3171/case22308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/15/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND The computed tomography angiography (CTA) “spot sign” is a well-recognized radiographic marker in primary intracerebral hemorrhage (ICH). Although it has been demonstrated to represent an area of active hemorrhage or contrast extravasation, the exact pathophysiology remains unclear. Vascular mimics of the spot sign have been identified; however, those representing pseudoaneurysm and small vessel aneurysm have rarely been reported. OBSERVATIONS A 57-year-old female with a past medical history of hypertension and diabetes mellitus presented with 2 weeks of acute-onset, worsening headache. Computed tomography scanning showed a right interior frontal lobe intraparenchymal hemorrhage. CTA demonstrated a punctate focus of hyperattenuation within the hematoma, consistent with a spot sign, which corresponded to a distal anterior cerebral artery pseudoaneurysm on a cerebral angiogram. The patient subsequently underwent emergent resection of the pseudoaneurysm and hematoma evacuation without complications. Her postoperative course was unremarkable without acute concerns or residual symptoms at the 4-month follow-up. LESSONS The authors present a unique case of a distal anterior cerebral artery pseudoaneurysm presenting as a spot sign in a relatively young patient without underlying vascular disease. Given the need for emergent intervention, intracranial pseudoaneurysm is an important diagnosis to consider in the presence of a spot sign in atypical clinical presentations of primary ICH.
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Affiliation(s)
- Zi Ling Huang
- Division of Neurosurgery, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Justin K. Zhang
- Division of Neurosurgery, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Michael Prim
- Division of Neurosurgery, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Jeroen Coppens
- Division of Neurosurgery, Saint Louis University School of Medicine, St. Louis, Missouri
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Che R, Zhang M, Sun H, Ma J, Hu W, Liu X, Ji X. Long-term outcome of cerebral amyloid angiopathy-related hemorrhage. CNS Neurosci Ther 2022; 28:1829-1837. [PMID: 35975394 PMCID: PMC9532921 DOI: 10.1111/cns.13922] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/30/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECT The long-term functional outcome of cerebral amyloid angiopathy-related hemorrhage (CAAH) patients is unclear. We sought to assess the long-term functional outcome of CAAH and determine the prognostic factors associated with unfavorable outcomes. METHODS We enrolled consecutive CAAH patients from 2014 to 2020 in this observational study. Baseline characteristics and clinical outcomes were presented. Multivariable logistic regression analysis was performed to identify the prognostic factors associated with long-term outcome. RESULTS Among the 141 CAAH patients, 76 (53.9%) achieved favorable outcomes and 28 (19.9%) of them died at 1-year follow-up. For the longer-term follow-up with a median observation time of 19.0 (interquartile range, 12.0-26.5) months, 71 (50.4%) patients obtained favorable outcomes while 33 (23.4%) died. GCS on admission (OR, 0.109; 95% CI, 0.021-0.556; p = 0.008), recurrence of ICH (OR, 2923.687; 95% CI, 6.282-1360730.14; p = 0.011), WML grade 3-4 (OR, 31.007; 95% CI, 1.041-923.573; p = 0.047), severe central atrophy (OR, 4220.303; 95% CI, 9.135-1949674.84; p = 0.008) assessed by CT was identified as independent predictors for long-term outcome. INTERPRETATION Nearly 50% of CAAH patients achieved favorable outcomes at long-term follow-up. GCS, recurrence of ICH, WML grade and cerebral atrophy were identified as independent prognostic factors of long-term outcome.
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Affiliation(s)
- Ruiwen Che
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Hypoxia Conditioning Translational Medicine, Beijing, China
| | - Mengke Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hailiang Sun
- Department of Neurosurgery, Beijing Fengtai You'anmen Hospital, Beijing, China
| | - Jin Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wenbo Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Liu
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xunming Ji
- Beijing Key Laboratory of Hypoxia Conditioning Translational Medicine, Beijing, China
- Department of Neurosurgery, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Brain Disorders, Beijing, China
- Capital Medical University, Beijing, China
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Truong MQ, Metcalfe AV, Ovenden CD, Kleinig TJ, Barras CD. Intracerebral hemorrhage markers on non-contrast computed tomography as predictors of the dynamic spot sign on CT perfusion and associations with hematoma expansion and outcome. Neuroradiology 2022; 64:2135-2144. [PMID: 36076088 DOI: 10.1007/s00234-022-03032-6] [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: 04/20/2022] [Accepted: 07/30/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE To assess the association between non-contrast computed tomography (NCCT) hematoma markers and the dynamic spot sign on computed tomography perfusion (CTP), and their associations with hematoma expansion, clinical outcome, and in-hospital mortality. METHODS Patients who presented with intracerebral hemorrhage (ICH) to a stroke center over an 18-month period and underwent baseline NCCT and CTP, and a follow-up NCCT within 24 h after the baseline scan were included. The initial and follow-up hematoma volumes were calculated. Two raters independently assessed the baseline NCCT for hematoma markers and concurrently assessed the CTP for the dynamic spot sign. Univariate and multivariate logistic regression analyses were performed to assess the association between the hematoma markers and the dynamic spot sign, adjusting for known ICH expansion predictors. RESULTS Eighty-five patients were included in our study and 55 patients were suitable for expansion analysis. Heterogeneous density was the only NCCT hematoma marker to be associated with the dynamic spot sign after multivariate analysis (odds ratio, 58.61; 95% confidence interval, 9.13-376.05; P < 0.001). The dynamic spot sign was present in 22 patients (26%) and significantly predicted hematoma expansion (odds ratio, 36.6; 95% confidence interval, 2.51-534.2; P = 0.008). All patients with a spot sign had a swirl sign. A co-located hypodensity and spot sign was significantly associated with in-hospital mortality (odds ratio, 6.17; 95% confidence interval, 1.09-34.78; P = 0.039). CONCLUSION Heterogeneous density and swirl sign are associated with the dynamic spot sign. The dynamic spot sign is a stronger predictor than NCCT hematoma markers of significant hematoma expansion. A co-located spot sign and hypodensity predicts in-hospital mortality.
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Affiliation(s)
| | - Andrew Viggo Metcalfe
- School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Christopher Dillon Ovenden
- Faculty of Health and Medical Sciences, Surgical Specialties, The University of Adelaide, Adelaide, South Australia, Australia
| | - Timothy John Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.,Department of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Christen David Barras
- Department of Radiology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,The University of Adelaide, Adelaide, South Australia, Australia
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Zhao M, Huang W, Huang S, Lin F, He Q, Zheng Y, Gao Z, Cai L, Ye G, Chen R, Wu S, Fang W, Wang D, Lin Y, Kang D, Yu L. Quantitative hematoma heterogeneity associated with hematoma growth in patients with early intracerebral hemorrhage. Front Neurol 2022; 13:999223. [PMID: 36341120 PMCID: PMC9634162 DOI: 10.3389/fneur.2022.999223] [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: 07/20/2022] [Accepted: 09/27/2022] [Indexed: 11/24/2022] Open
Abstract
Background Early hematoma growth is associated with poor functional outcomes in patients with intracerebral hemorrhage (ICH). We aimed to explore whether quantitative hematoma heterogeneity in non-contrast computed tomography (NCCT) can predict early hematoma growth. Methods We used data from the Risk Stratification and Minimally Invasive Surgery in Acute Intracerebral Hemorrhage (Risa-MIS-ICH) trial. Our study included patients with ICH with a time to baseline NCCT <12 h and a follow-up CT duration <72 h. To get a Hounsfield unit histogram and the coefficient of variation (CV) of Hounsfield units (HUs), the hematoma was segmented by software using the auto-segmentation function. Quantitative hematoma heterogeneity is represented by the CV of hematoma HUs. Multivariate logistic regression was utilized to determine hematoma growth parameters. The discriminant score predictive value was assessed using the area under the ROC curve (AUC). The best cutoff was determined using ROC curves. Hematoma growth was defined as a follow-up CT hematoma volume increase of >6 mL or a hematoma volume increase of 33% compared with the baseline NCCT. Results A total of 158 patients were enrolled in the study, of which 31 (19.6%) had hematoma growth. The multivariate logistic regression analysis revealed that time to initial baseline CT (P = 0.040, odds ratio [OR]: 0.824, 95 % confidence interval [CI]: 0.686–0.991), “heterogeneous” in the density category (P = 0.027, odds ratio [OR]: 5.950, 95 % confidence interval [CI]: 1.228–28.828), and CV of hematoma HUs (P = 0.018, OR: 1.301, 95 % CI: 1.047–1.617) were independent predictors of hematoma growth. By evaluating the receiver operating characteristic curve, the CV of hematoma HUs (AUC = 0.750) has a superior predictive value for hematoma growth than for heterogeneous density (AUC = 0.638). The CV of hematoma HUs had an 18% cutoff, with a specificity of 81.9 % and a sensitivity of 58.1 %. Conclusion The CV of hematoma HUs can serve as a quantitative hematoma heterogeneity index that predicts hematoma growth in patients with early ICH independently.
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Affiliation(s)
- Mingpei Zhao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wei Huang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Shuna Huang
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Fuxin Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qiu He
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yan Zheng
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zhuyu Gao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Lveming Cai
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Gengzhao Ye
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Renlong Chen
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Siying Wu
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Wenhua Fang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Dengliang Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yuanxiang Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Dezhi Kang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Dezhi Kang
| | - Lianghong Yu
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- *Correspondence: Lianghong Yu
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Krishnan K, Law ZK, Woodhouse LJ, Dineen RA, Sprigg N, Wardlaw JM, Bath PM. Measures of intracranial compartments in acute intracerebral haemorrhage: data from the Rapid Intervention with Glyceryl Trinitrate in Hypertensive Stroke-2 Trial (RIGHT-2). Stroke Vasc Neurol 2022; 8:151-160. [PMID: 36202546 PMCID: PMC10176998 DOI: 10.1136/svn-2021-001375] [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: 10/17/2021] [Accepted: 05/11/2022] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND AND PURPOSE Intracerebral haemorrhage volume (ICHV) is prognostically important but does not account for intracranial volume (ICV) and cerebral parenchymal volume (CPV). We assessed measures of intracranial compartments in acute ICH using computerised tomography scans and whether ICHV/ICV and ICHV/CPV predict functional outcomes. We also assessed if cistern effacement, midline shift, old infarcts, leukoaraiosis and brain atrophy were associated with outcomes. METHODS Data from 133 participants from the Rapid Intervention with Glyceryl Trinitrate in Hypertensive Stroke-2 Trial trial were analysed. Measures included ICHV (using ABC/2) and ICV (XYZ/2) (by independent observers); ICHV, ICV and CPV (semiautomated segmentation, SAS); atrophy (intercaudate distance, ICD, Sylvian fissure ratio, SFR); midline shift; leukoaraiosis and cistern effacement (visual assessment). The effects of these measures on death at day 4 and poor functional outcome at day 90 (modified Rankin scale, mRS of >3) was assessed. RESULTS ICV was significantly different between XYZ and SAS: mean (SD) of 1357 (219) vs 1420 (196), mean difference (MD) 62 mL (p<0.001). There was no significant difference in ICHV between ABC/2 and SAS. There was very good agreement for ICV measured by SAS, CPV, ICD, SFR, leukoaraiosis and cistern score (all interclass correlations, n=10: interobserver 0.72-0.99, intraobserver 0.73-1.00). ICHV/ICV and ICHV/CPV were significantly associated with mRS at day 90, death at day 4 and acute neurological deterioration (all p<0.05), similar to ICHV. Midline shift and cistern effacement at baseline were associated with poor functional outcome but old infarcts, leukoaraiosis and brain atrophy were not. CONCLUSIONS Intracranial compartment measures and visual estimates are reproducible. ICHV adjusted for ICH and CPV could be useful to prognosticate in acute stroke. The presence of midline shift and cistern effacement may predict outcome but the mechanisms need validation in larger studies.
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Affiliation(s)
- Kailash Krishnan
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK .,Stroke Trials Unit, University of Nottingham, Nottingham, UK
| | - Zhe Kang Law
- Department of Medicine, National University of Malaysia Faculty of Medicine, Kuala Lumpur, Malaysia
| | | | - Rob A Dineen
- Radiological Sciences Research Group, University of Nottingham, Nottingham, UK.,National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Nikola Sprigg
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK.,Stroke Trials Unit, University of Nottingham, Nottingham, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, Chancellor's Building, University of Edinburgh, Edinburgh, UK
| | - Philip M Bath
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK.,Stroke Trials Unit, University of Nottingham, Nottingham, UK
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Validation of perihematomal edema expansion as a new imaging biomarker to predict clinical outcome in patients with intracerebral hemorrhage. J Stroke Cerebrovasc Dis 2022; 31:106692. [PMID: 35932542 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106692] [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: 06/09/2022] [Revised: 07/16/2022] [Accepted: 07/26/2022] [Indexed: 10/16/2022] Open
Abstract
OBJECTIVES The use of hematoma expansion (HE) in intracerebral hemorrhage (ICH) patients is limited due to its low sensitivity. Perihematomal edema (PHE) has been considered an important marker of secondary brain injury after ICH. Enrolling PHE expansion to redefine traditional ICH expansion merits exploration. MATERIALS AND METHODS This study analyzed a cohort of patients with spontaneous ICH. The hematoma and PHE were manually segmented. Logistic regression analysis was utilized to identify risk factors for poor outcomes. Receiver operating characteristic curve analysis was performed to calculate the predictive values of PHE expansion and HE. Poor neurological outcome was defined as a modified Rankin Scale score of 4-6 at 90 days. RESULTS Overall, 223 target patients were enrolled in the study. Multivariable analysis showed the larger PHE expansion is the independent risk factors for poor prognosis. The predictive value of absolute PHE expansion (AUC=0.776, sensitivity=67.9%, specificity=77.0%) was higher than that of absolute HE (AUC=0.573, sensitivity=41.7%, specificity=87.1%) and HE (>6 ml) (AUC=0.594, sensitivity=23.8%, specificity=95.0%). The best cutoff for early absolute/relative PHE expansion resulting in a poor outcome was 5.96 ml and 31%. CONCLUSIONS Early PHE expansion was associated with a poor outcome, characterized by a better predictive value than HE.
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57
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Weller JM, Meissner JN, Stösser S, Dorn F, Petzold GC, Bode FJ. Mechanical Thrombectomy in Patients with Acute Ischemic Stroke and Concomitant Intracranial Hemorrhage. Clin Neuroradiol 2022; 32:809-816. [PMID: 34989816 PMCID: PMC9424164 DOI: 10.1007/s00062-021-01128-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/01/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Intravenous thrombolysis and mechanical thrombectomy (MT) are standard of care in patients with acute ischemic stroke due to large vessel occlusion. Data on MT in patients with intracranial hemorrhage prior to intervention is limited to anecdotal reports, as these patients were excluded from thrombectomy trials. METHODS We analyzed patients from an observational multicenter cohort with acute ischemic stroke and endovascular treatment, the German Stroke Registry-Endovascular Treatment trial, with intracranial hemorrhage before MT. Baseline characteristics, procedural parameters and functional outcome at 90 days were analyzed and compared to a propensity score matched cohort. RESULTS Out of 6635 patients, we identified 32 patients (0.5%) with acute ischemic stroke due to large vessel occlusion and preinterventional intracranial hemorrhage who underwent MT. Risk factors of intracranial hemorrhage were head trauma, oral anticoagulation and intravenous thrombolysis. Overall mortality was high (50%) but among patients with a premorbid modified Rankin scale (mRS) of 0-2 (n = 15), good clinical outcome (mRS 0-2) at 90 days was achieved in 40% of patients. Periprocedural and outcome results did not differ between patients with and without preinterventional intracranial hemorrhage. CONCLUSION Preinterventional intracranial hemorrhage in acute ischemic stroke patients with large vessel occlusion is rare. The use of MT is technically feasible and a substantial number of patients achieve good clinical outcome, indicating that MT should not be withheld in patients with preinterventional intracranial hemorrhage.
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Affiliation(s)
- Johannes M Weller
- Section for Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Julius N Meissner
- Section for Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Sebastian Stösser
- Section for Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Franziska Dorn
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Gabor C Petzold
- Section for Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Felix J Bode
- Section for Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
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Advances in Intracranial Hemorrhage. Crit Care Clin 2022; 39:71-85. [DOI: 10.1016/j.ccc.2022.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Nehme A, Ducroux C, Panzini MA, Bard C, Bereznyakova O, Boisseau W, Deschaintre Y, Diestro JDB, Guilbert F, Jacquin G, Maallah MT, Nelson K, Padilha IG, Poppe AY, Rioux B, Roy D, Touma L, Weill A, Gioia LC, Létourneau-Guillon L. Non-contrast CT markers of intracerebral hematoma expansion: a reliability study. Eur Radiol 2022; 32:6126-6135. [PMID: 35348859 DOI: 10.1007/s00330-022-08710-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 02/21/2022] [Accepted: 03/01/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES We evaluated whether clinicians agree in the detection of non-contrast CT markers of intracerebral hemorrhage (ICH) expansion. METHODS From our local dataset, we randomly sampled 60 patients diagnosed with spontaneous ICH. Fifteen physicians and trainees (Stroke Neurology, Interventional and Diagnostic Neuroradiology) were trained to identify six density (Barras density, black hole, blend, hypodensity, fluid level, swirl) and three shape (Barras shape, island, satellite) expansion markers, using standardized definitions. Thirteen raters performed a second assessment. Inter- and intra-rater agreement were measured using Gwet's AC1, with a coefficient > 0.60 indicating substantial to almost perfect agreement. RESULTS Almost perfect inter-rater agreement was observed for the swirl (0.85, 95% CI: 0.78-0.90) and fluid level (0.84, 95% CI: 0.76-0.90) markers, while the hypodensity (0.67, 95% CI: 0.56-0.76) and blend (0.62, 95% CI: 0.51-0.71) markers showed substantial agreement. Inter-rater agreement was otherwise moderate, and comparable between density and shape markers. Inter-rater agreement was lower for the three markers that require the rater to identify one specific axial slice (Barras density, Barras shape, island: 0.46, 95% CI: 0.40-0.52 versus others: 0.60, 95% CI: 0.56-0.63). Inter-observer agreement did not differ when stratified for raters' experience, hematoma location, volume, or anticoagulation status. Intra-rater agreement was substantial to almost perfect for all but the black hole marker. CONCLUSION In a large sample of raters with different backgrounds and expertise levels, only four of nine non-contrast CT markers of ICH expansion showed substantial to almost perfect inter-rater agreement. KEY POINTS • In a sample of 15 raters and 60 patients, only four of nine non-contrast CT markers of ICH expansion showed substantial to almost perfect inter-rater agreement (Gwet's AC1> 0.60). • Intra-rater agreement was substantial to almost perfect for eight of nine hematoma expansion markers. • Only the blend, fluid level, and swirl markers achieved substantial to almost perfect agreement across all three measures of reliability (inter-rater agreement, intra-rater agreement, agreement with the results of a reference reading).
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Affiliation(s)
- Ahmad Nehme
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.
| | - Célina Ducroux
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Marie-Andrée Panzini
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Céline Bard
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Olena Bereznyakova
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Axe Neurosciences, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
- Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada
| | - William Boisseau
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Yan Deschaintre
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Axe Neurosciences, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
- Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada
| | | | - François Guilbert
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Grégory Jacquin
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Axe Neurosciences, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
- Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada
| | - Mohamed Taoubane Maallah
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Kristoff Nelson
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Igor Gomes Padilha
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Alexandre Y Poppe
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Axe Neurosciences, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
- Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada
| | - Bastien Rioux
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Daniel Roy
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Lahoud Touma
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Alain Weill
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Laura C Gioia
- Neurovascular Health Program, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Axe Neurosciences, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
- Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada
| | - Laurent Létourneau-Guillon
- Département de Radiologie, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Imaging and Engineering Axis, Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
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3D Island Sign on Computed Tomography Predicts Early Perihematomal Edema Expansion and Poor Outcome in Patients with Intracerebral Hemorrhage. Clin Neurol Neurosurg 2022; 222:107443. [DOI: 10.1016/j.clineuro.2022.107443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/27/2022] [Accepted: 09/13/2022] [Indexed: 11/24/2022]
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61
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Gil-Garcia CA, Alvarez EF, Garcia RC, Mendoza-Lopez AC, Gonzalez-Hermosillo LM, Garcia-Blanco MDC, Valadez ER. Essential topics about the imaging diagnosis and treatment of Hemorrhagic Stroke: a comprehensive review of the 2022 AHA guidelines. Curr Probl Cardiol 2022; 47:101328. [PMID: 35870549 DOI: 10.1016/j.cpcardiol.2022.101328] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 07/17/2022] [Indexed: 11/03/2022]
Abstract
Intracerebral hemorrhage (ICH) is a severe stroke with a high death rate (40 % mortality). The prevalence of hemorrhagic stroke has increased globally, with changes in the underlying cause over time as anticoagulant use and hypertension treatment have improved. The fundamental etiology of ICH and the mechanisms of harm from ICH, particularly the complex interaction between edema, inflammation, and blood product toxicity, have been thoroughly revised by the American Heart Association (AHA) in 2022. Although numerous trials have investigated the best medicinal and surgical management of ICH, there is still no discernible improvement in survival and functional tests. Small vessel diseases, such as cerebral amyloid angiopathy (CAA) or deep perforator arteriopathy (hypertensive arteriopathy), are the most common causes of spontaneous non-traumatic intracerebral hemorrhage (ICH). Even though ICH only causes 10-15% of all strokes, it contributes significantly to morbidity and mortality, with few acute or preventive treatments proven effective. Current AHA guidelines acknowledge up to 89% sensitivity for unenhanced brain CT and 81% for brain MRI. The imaging findings of both methods are helpful for initial diagnosis and follow-up, sometimes necessary a few hours after admission, especially for detecting hemorrhagic transformation or hematoma expansion. This review summarized the essential topics on hemorrhagic stroke epidemiology, risk factors, physiopathology, mechanisms of injury, current management approaches, findings in neuroimaging, goals and outcomes, recommendations for lifestyle modifications, and future research directions ICH. A list of updated references is included for each topic.
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Affiliation(s)
| | | | | | | | | | | | - Ernesto-Roldan Valadez
- Directorado de investigación, Hospital General de Mexico "Dr. Eduardo Liceaga," 06720, CDMX, Mexico; I.M. Sechenov First Moscow State Medical University (Sechenov University), Department of Radiology, 119992, Moscow, Russia.
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62
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Tang ZR, Chen Y, Hu R, Wang H. Predicting hematoma expansion in intracerebral hemorrhage from brain CT scans via K-nearest neighbors matting and deep residual network. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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63
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Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review. Biocybern Biomed Eng 2022. [DOI: 10.1016/j.bbe.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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64
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The Spot Sign and Intraventricular Hemorrhage are Associated with Baseline Coagulopathy and Outcome in Intracerebral Hemorrhage. Neurocrit Care 2022; 37:660-669. [PMID: 35761128 DOI: 10.1007/s12028-022-01537-9] [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: 12/02/2021] [Accepted: 05/18/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Spontaneous intracerebral hemorrhage (ICH) is the second most prevalent subtype of stroke and has high mortality and morbidity. The utility of radiographic features to predict secondary brain injury related to hematoma expansion (HE) or increased intracranial pressure has been highlighted in patients with ICH, including the computed tomographic angiography (CTA) spot sign and intraventricular hemorrhage (IVH). Understanding the pathophysiology of spot sign and IVH may help identify optimal therapeutic strategies. We examined factors related to the spot sign and IVH, including coagulation status, hematoma size, and location, and evaluated their prognostic value in patients with ICH. METHODS Prospectively collected data from a single center between 2012 and 2015 were analyzed. Patients who underwent thromboelastography within 24 h of symptom onset and completed follow-up brain imaging and CTA within 48 h after onset were included for analysis. Multivariate logistic regression analyses were performed to identify determinants of the spot sign and IVH and their predictive value for HE, early neurological deterioration (END), in-hospital mortality, and functional outcome at discharge. RESULTS Of 161 patients, 50 (31.1%) had a spot sign and 93 (57.8%) had IVH. In multivariable analysis, the spot sign was associated with greater hematoma volume (odds ratio [OR] 1.02; 95% confidence interval [CI] 1.00-1.03), decreased white blood cell count (OR 0.88; 95% CI 0.79-0.98), and prolonged activated partial thromboplastin time (OR 1.14; 95% CI 1.06-1.23). IVH was associated with greater hematoma volume (OR 1.02; 95% CI 1.01-1.04) and nonlobar location of hematoma (OR 0.23; 95% CI 0.09-0.61). The spot sign was associated with greater risk of all adverse outcomes. IVH was associated with an increased risk of END and reduced HE, without significant impact on mortality or functional outcome. CONCLUSIONS The spot sign and IVH are associated with specific hematoma characteristics, such as size and location, but are related differently to coagulation status and clinical course. A combined analysis of the spot sign and IVH can improve the understanding of pathophysiology and risk stratification after ICH.
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65
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Approach to Neuroimaging of the Brain, Vessels, and Cerebral Edema. Neurocrit Care 2022. [DOI: 10.1017/9781108907682.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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66
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Intracerebral Hemorrhage. Neurocrit Care 2022. [DOI: 10.1017/9781108907682.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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67
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Chen C, Girgenti S, Mallick D, Marsh EB. When less is more: Non-contrast head CT alone to work-up hypertensive intracerebral hemorrhage. J Clin Neurosci 2022; 100:108-112. [PMID: 35447508 PMCID: PMC11031262 DOI: 10.1016/j.jocn.2022.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/26/2022] [Accepted: 04/08/2022] [Indexed: 11/27/2022]
Abstract
Hypertension is a common cause of intracerebral hemorrhage (ICH). The work up typically involves neuroimaging of the brain and blood vessels to determine etiology. However, extensive testing may be unnecessary for presumed hypertensive hemorrhages, and instead prolong hospital stay and increase costs. This study evaluates the predictive utility of hemorrhage location on the non-contrast head CT in determining hypertensive ICH. Patients presenting with non-traumatic ICH between March 2014 and June 2019 were prospectively enrolled. Hemorrhage etiology was determined based on previously defined criteria. Chi square and Student's t tests were used to determine the association between patient demographics, ICH severity, neuroimaging characteristics, and medical variables, with hypertensive etiology. Multivariable regression models and an ROC analysis determined utility of CT to accurately diagnose hypertensive ICH. Data on 380 patients with ICH were collected; 42% were determined to be hypertensive. Along with deep location on CT, black race, history of hypertension, renal disease, left ventricular hypertrophy, and higher admission blood pressure were significantly associated with hypertensive etiology, while atrial fibrillation and anticoagulation were associated with non-hypertensive etiologies. Deep location alone resulted in an area under the curve of 0.726. When history of hypertension was added, this improved to 0.771. Additional variables did not further improve the model's predictability. Hypertensive ICH is associated with several predictive factors. Using deep location and history of hypertension alone correctly identifies the majority of hypertensive ICH without additional work-up. This model may result in more efficient diagnostic testing without sacrificing patient care.
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Affiliation(s)
- Claire Chen
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States
| | - Sophia Girgenti
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States
| | - Dania Mallick
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States
| | - Elisabeth B Marsh
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States.
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68
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Irregular shape as an independent predictor of prognosis in patients with primary intracerebral hemorrhage. Sci Rep 2022; 12:8552. [PMID: 35595831 PMCID: PMC9123162 DOI: 10.1038/s41598-022-12536-3] [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: 10/13/2021] [Accepted: 05/12/2022] [Indexed: 11/09/2022] Open
Abstract
The utility of noncontrast computed tomography markers in the prognosis of spontaneous intracerebral hemorrhage has been studied. This study aimed to investigate the predictive value of the computed tomography (CT) irregularity shape for poor functional outcomes in patients with spontaneous intracerebral hemorrhage. We retrospectively reviewed all 782 patients with intracranial hemorrhage in our stroke emergency center from January 2018 to September 2019. Laboratory examination and CT examination were performed within 24 h of admission. After three months, the patient's functional outcome was assessed using the modified Rankin Scale. Multinomial logistic regression analyses were applied to identify independent predictors of functional outcome in patients with intracerebral hemorrhage. Out of the 627 patients included in this study, those with irregular shapes on CT imaging had a higher proportion of poor outcomes and mortality 90 days after discharge (P < 0.001). Irregular shapes were found to be significant independent predictors of poor outcome and mortality on multiple logistic regression analysis. In addition, the increase in plasma D-dimer was associated with the occurrence of irregular shapes (P = 0.0387). Patients with irregular shapes showed worse functional outcomes after intracerebral hemorrhage. The elevated expression level of plasma D-dimers may be directly related to the formation of irregular shapes.
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69
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Huang X, Wang D, Zhang Q, Ma Y, Li S, Zhao H, Deng J, Yang J, Ren J, Xu M, Xi H, Li F, Zhang H, Xie Y, Yuan L, Hai Y, Yue M, Zhou Q, Zhou J. Development and Validation of a Clinical-Based Signature to Predict the 90-Day Functional Outcome for Spontaneous Intracerebral Hemorrhage. Front Aging Neurosci 2022; 14:904085. [PMID: 35615596 PMCID: PMC9125153 DOI: 10.3389/fnagi.2022.904085] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/15/2022] [Indexed: 11/23/2022] Open
Abstract
We aimed to develop and validate an objective and easy-to-use model for identifying patients with spontaneous intracerebral hemorrhage (ICH) who have a poor 90-day prognosis. This three-center retrospective study included a large cohort of 1,122 patients with ICH who presented within 6 h of symptom onset [training cohort, n = 835; internal validation cohort, n = 201; external validation cohort (center 2 and 3), n = 86]. We collected the patients’ baseline clinical, radiological, and laboratory data as well as the 90-day functional outcomes. Independent risk factors for prognosis were identified through univariate analysis and multivariate logistic regression analysis. A nomogram was developed to visualize the model results while a calibration curve was used to verify whether the predictive performance was satisfactorily consistent with the ideal curve. Finally, we used decision curves to assess the clinical utility of the model. At 90 days, 714 (63.6%) patients had a poor prognosis. Factors associated with prognosis included age, midline shift, intraventricular hemorrhage (IVH), subarachnoid hemorrhage (SAH), hypodensities, ICH volume, perihematomal edema (PHE) volume, temperature, systolic blood pressure, Glasgow Coma Scale (GCS) score, white blood cell (WBC), neutrophil, and neutrophil-lymphocyte ratio (NLR) (p < 0.05). Moreover, age, ICH volume, and GCS were identified as independent risk factors for prognosis. For identifying patients with poor prognosis, the model showed an area under the receiver operating characteristic curve of 0.874, 0.822, and 0.868 in the training cohort, internal validation, and external validation cohorts, respectively. The calibration curve revealed that the nomogram showed satisfactory calibration in the training and validation cohorts. Decision curve analysis showed the clinical utility of the nomogram. Taken together, the nomogram developed in this study could facilitate the individualized outcome prediction in patients with ICH.
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Affiliation(s)
- Xiaoyu Huang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Dan Wang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
| | - Qiaoying Zhang
- Department of Radiology, Xi’an Central Hospital, Xi’an, China
| | - Yaqiong Ma
- Second Clinical School, Lanzhou University, Lanzhou, China
- Department of Radiology, Gansu Provincial Hospital, Lanzhou, China
| | - Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Hui Zhao
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Jingjing Yang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | | | - Min Xu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Huaze Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Fukai Li
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Hongyu Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Yijing Xie
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Long Yuan
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Yucheng Hai
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
| | - Mengying Yue
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
| | - Qing Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
- *Correspondence: Junlin Zhou,
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70
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The Predictive Accuracy of the Delayed Spot Sign for Haematoma Expansion in Spontaneous Supratentorial Intracerebral Haemorrhage: A Systematic Review and Meta-Analysis. J Stroke Cerebrovasc Dis 2022; 31:106379. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/24/2022] [Accepted: 01/29/2022] [Indexed: 11/17/2022] Open
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71
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Blood Pressure and Spot Sign in Spontaneous Supratentorial Subcortical Intracerebral Hemorrhage. Neurocrit Care 2022; 37:246-254. [PMID: 35445934 PMCID: PMC9283165 DOI: 10.1007/s12028-022-01485-4] [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: 09/24/2021] [Accepted: 03/07/2022] [Indexed: 10/27/2022]
Abstract
BACKGROUND Spontaneous intracerebral hemorrhage is a potentially devastating cause of brain injury, often occurring secondary to hypertension. Contrast extravasation on computed tomography angiography (CTA), known as the spot sign, has been shown to predict hematoma expansion and worse outcomes. Although hypertension has been associated with an increased rate of the spot sign being present, the relationship between spot sign and blood pressure has not been fully explored. METHODS We retrospectively analyzed data from 134 patients (40 women and 94 men, mean age 62.3 ± 15.73 years) presenting to a tertiary academic medical center with spontaneous supratentorial subcortical intracerebral hemorrhage from 1/1/2018 to 1/4/2021. RESULTS A spot sign was demonstrated in images of 18 patients (13.43%) and correlated with a higher intracerebral hemorrhage score (2.61 ± 1.42 vs. 1.31 ± 1.25, p = 0.002), larger hematoma volume (53.49cm3 ± 32.08 vs. 23.45cm3 ± 25.65, p = 0.001), lower Glasgow Coma Scale on arrival (9.06 ± 4.56 vs. 11.74 ± 3.65, p = 0.027), increased risk of hematoma expansion (16.67% vs. 5.26%, p = 0.042), and need for surgical intervention (66.67% vs. 15.52%, p < 0.001). We did not see a correlation with age, sex, or underlying comorbidities. The presence of spot sign correlated with higher modified Rankin scores at discharge (4.94 ± 1.00 vs. 3.92 ± 1.64, p < 0.001). We saw significantly higher systolic blood pressure at the time of CTA in patients with a spot sign (184 mm Hg ± 43.11 vs. 153 mm Hg ± 36.99, p = 0.009) and the highest recorded blood pressure (p = 0.019), although not blood pressure on arrival (p = 0.081). Performing CTA early in the process of blood pressure lowering was associated with a spot sign (p < 0.001). CONCLUSIONS The presence of spot sign correlates with larger hematomas, worse outcomes, and increased surgical intervention. There is a significant association between spot sign and systolic blood pressure at the time of CTA, with the highest systolic blood pressure being recorded prior to CTA. Although the role of intensive blood pressure management in spontaneous intracerebral hemorrhage remains a subject of debate, patients with a spot sign may be a subgroup that could benefit from this.
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Magid-Bernstein J, Girard R, Polster S, Srinath A, Romanos S, Awad IA, Sansing LH. Cerebral Hemorrhage: Pathophysiology, Treatment, and Future Directions. Circ Res 2022; 130:1204-1229. [PMID: 35420918 PMCID: PMC10032582 DOI: 10.1161/circresaha.121.319949] [Citation(s) in RCA: 168] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Intracerebral hemorrhage (ICH) is a devastating form of stroke with high morbidity and mortality. This review article focuses on the epidemiology, cause, mechanisms of injury, current treatment strategies, and future research directions of ICH. Incidence of hemorrhagic stroke has increased worldwide over the past 40 years, with shifts in the cause over time as hypertension management has improved and anticoagulant use has increased. Preclinical and clinical trials have elucidated the underlying ICH cause and mechanisms of injury from ICH including the complex interaction between edema, inflammation, iron-induced injury, and oxidative stress. Several trials have investigated optimal medical and surgical management of ICH without clear improvement in survival and functional outcomes. Ongoing research into novel approaches for ICH management provide hope for reducing the devastating effect of this disease in the future. Areas of promise in ICH therapy include prognostic biomarkers and primary prevention based on disease pathobiology, ultra-early hemostatic therapy, minimally invasive surgery, and perihematomal protection against inflammatory brain injury.
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Affiliation(s)
| | - Romuald Girard
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Sean Polster
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Abhinav Srinath
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Sharbel Romanos
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Issam A. Awad
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Lauren H. Sansing
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
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Bowry R, Parker SA, Bratina P, Singh N, Yamal JM, Rajan SS, Jacob AP, Phan K, Czap A, Grotta JC. Hemorrhage Enlargement Is More Frequent in the First 2 Hours: A Prehospital Mobile Stroke Unit Study. Stroke 2022; 53:2352-2360. [DOI: 10.1161/strokeaha.121.037591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Hematoma enlargement (HE) after intracerebral hemorrhage (ICH) is a therapeutic target for improving outcomes. Hemostatic therapies to prevent HE may be more effective the earlier they are attempted. An understanding of HE in first 1 to 2 hours specifically in the prehospital setting would help guide future treatment interventions in this time frame and setting.
Methods:
Patients with spontaneous ICH within 4 hours of symptom onset were prospectively evaluated between May 2014 and April 2020 as a prespecified substudy within a multicenter trial of prehospital mobile stroke unit versus standard management. Baseline computed tomography scans obtained <1, 1 to 2, and 2 to 4 hours postsymptom onset on the mobile stroke unit in the prehospital setting were compared with computed tomography scans repeated 1 hour later and at 24 hours in the hospital. HE was defined as >6 mL if baseline ICH volume was
<
20 mL and 33% increase if baseline volume >20 mL. The association between time from symptom onset to baseline computed tomography (hours) and HE was investigated using Wilcoxon rank-sum test when time was treated as a continuous variable and using Fisher exact test when time was categorized. Kruskal-Wallis and Wilcoxon rank-sum tests evaluated differences in baseline volumes and HE. Univariable and multivariable logistic regression analyses were conducted to identify factors associated with HE and variable selection was performed using cross-validated L1-regularized (Lasso regression). This study adhered to STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology) for cohort studies.
Results:
One hundred thirty-nine patients were included. There was no difference between baseline ICH volumes obtained <1 hour (n=43) versus 1 to 2 hour (n=51) versus >2 hours (n=45) from symptom onset (median [interquartile range], 13 mL [6–24] versus 14 mL [6–30] versus 12 mL [4–19];
P
=0.65). However, within the same 3 time epochs, initial hematoma growth (volume/time from onset) was greater with earlier baseline scanning (median [interquartile range], 17 mL/hour [9–35] versus 9 mL/hour [5–23]) versus 4 mL/hour [2–7];
P
<0.001). Forty-nine patients had repeat scans 1 hour after baseline imaging (median, 2.3 hours [interquartile range. 1.9–3.1] after symptom onset). Eight patients (16%) had HE during that 1-hour interval; all of these occurred in patients with baseline imaging within 2 hours of onset (5/18=28% with baseline imaging within 1 hour, 3/18=17% within 1–2 hour, 0/13=0% >2 hours;
P
=0.02). HE did not occur between the scans repeated at 1 hour and 24 hours. No association between baseline variables and HE was detected in multivariable analyses.
Conclusions:
HE in the next hour occurs in 28% of ICH patients with baseline imaging within the first hour after symptom onset, and in 17% of those with baseline imaging between 1 and 2 hours. These patients would be a target for ultraearly hemostatic intervention.
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Affiliation(s)
- Ritvij Bowry
- Department of Neurology, McGovern Medical School, University of Texas Health Sciences Center, Houston (R.B., S.A.P., P.B., A.C.)
| | - Stephanie A. Parker
- Department of Neurology, McGovern Medical School, University of Texas Health Sciences Center, Houston (R.B., S.A.P., P.B., A.C.)
| | - Patti Bratina
- Department of Neurology, McGovern Medical School, University of Texas Health Sciences Center, Houston (R.B., S.A.P., P.B., A.C.)
| | - Noopur Singh
- Department of Biostatics and Data Science (N.S., J.M.Y., A.P.J.)
| | | | - Suja S. Rajan
- Department of Management, Policy and Community Health (S.S.R.)
| | - Asha P. Jacob
- Department of Biostatics and Data Science (N.S., J.M.Y., A.P.J.)
| | - Kenny Phan
- University of Texas School of Public Health, Houston. Clinical Innovation and Research Institute, Memorial Hermann Hospital, Houston, TX (K.P., J.C.G.)
| | - Alexandra Czap
- Department of Neurology, McGovern Medical School, University of Texas Health Sciences Center, Houston (R.B., S.A.P., P.B., A.C.)
| | - James C. Grotta
- University of Texas School of Public Health, Houston. Clinical Innovation and Research Institute, Memorial Hermann Hospital, Houston, TX (K.P., J.C.G.)
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Baseline neutrophil-lymphocyte ratio can be associated with hematoma expansion in patients with intracerebral hemorrhage: a retrospective observational study. BMC Neurosci 2022; 23:18. [PMID: 35337267 PMCID: PMC8957183 DOI: 10.1186/s12868-022-00705-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/21/2022] [Indexed: 01/14/2023] Open
Abstract
Background Hematoma expansion can be related to increased mortality and poor clinical outcomes in patients with intracerebral hemorrhage (ICH). So, early identification and prevention of hematoma expansion can be considered as an important therapeutic aim. This study aimed to evaluate the hypothesis that the neutrophil to lymphocyte ratio (NLR) is associated with hematoma expansion in ICH patients. Methods We retrospectively evaluated the clinical data of a total of 221 patients with ICH who were treated in our department between April 2018 and April 2021. The demographic, clinical, radiological, and laboratory test data including the NLR upon admission were investigated. A binary logistic regression analysis was used to assess the independent associations between different variables and hematoma expansion. Results A total of 221 patients with ICH were included. There were 122 (55.2%) males and 99 (44.8%) females. The mean age (years) at admission was 66.43 ± 8.28. The hematoma expansion occurred in 57 (25.8%) cases. The results of the multivariate analysis showed that hematoma volume at baseline (OR, 3.12; 95% CI 1.78–5.02; P < 0.001), admission systolic blood pressure (OR, 2.87; 95% CI 1.79–4.34; P = 0.013), Glasgow Coma Scale (GCS) (OR, 1.94; 95% CI 1.45–2.93; P = 0.020), and NLR (OR, 1.74; 95% CI 1.16–2.60; P = 0.032) were correlated with hematoma expansion in these patients. Conclusions Our findings suggest that NLR can be a predictor of hematoma expansion in patients with ICH. This cost-effective and easily available biomarker could be used to early prediction of hematoma expansion in these patients.
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75
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Traumatic Intracranial Hemorrhage on CT After Ground-Level Fall in Adult Patients on Antithrombotic Therapy: A Retrospective Case-Control Study. AJR Am J Roentgenol 2022; 219:501-508. [PMID: 35319911 DOI: 10.2214/ajr.21.27274] [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] [Indexed: 12/21/2022]
Abstract
Background: Antithrombotic medications may increase risk and severity of traumatic intracranial hemorrhage (tICH) after minor head trauma. Objective: To determine the frequency, distribution, and clinical course of tICH in patients on antithrombotic therapy who present with good neurological status after ground-level fall. Methods: This retrospective study included 1630 patients (mean age 80±12 years; 693 female, 937 male) who underwent head CT after presenting to the emergency department with ground-level fall between January 1 and December 31, 2020, and with Glasgow Coma Scale ≥14 and no focal neurological deficit. Patients with tICH were identified based on the clinical reports. In patients with tICH, images from initial head CT examinations were reviewed for tICH characteristics, images from follow-up head CT examinations (performed within 24 hours) were reviewed for hematoma expansion, and clinical outcomes were extracted from medical records. Patients on antithrombotic therapy and control patients (not on antithrombotic therapy) were compared. Results: The antithrombotic therapy group included 954 patients (608 anticoagulant, 226 antiplatelet, 120 both); the control group included 676 patients. A total of 63 (3.9%; 95% CI, 2.9-4.8%) patients had tICH. The antithrombotic therapy and control groups were not significantly different in terms of frequency of tICH (4.4% vs 3.1%, p = .24), midline shift (10.0% vs 7.1%, p = .76) or regional mass effect (33.3% vs 14.3%, p = .19) on initial CT. Hematoma expansion on follow-up CT occurred in 11/42 (26.2%) patients in the antithrombotic group and 1/21 (4.8%) patient in the control group (p = .04). Two patients required neurosurgical intervention, and three patients died within 30 days related to tICH; all such patients were on antithrombotic therapy. Conclusion: Antithrombotic therapy use was not associated with increased frequency of tICH, although was associated with increased frequency of hematoma expansion at follow-up. Clinical impact: The findings suggest, in patients with good neurological status after ground-level fall, application of a similar strategy for selecting patients for initial head CT regardless of antithrombotic therapy use; if initial head CT shows tICH, early follow-up head CT should be systematically performed in those on antithrombotic therapy though possibly deferred in other patients.
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76
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Wang P, Wu F, Wang Y, Du F, Yang X, Li J, Sheng J, Yu H, Jiang R. Computed tomography and clinical parameters predict intracerebral hemorrhage expansion. Medicine (Baltimore) 2022; 101:e28912. [PMID: 35244045 PMCID: PMC8896498 DOI: 10.1097/md.0000000000028912] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 02/01/2022] [Indexed: 01/04/2023] Open
Abstract
This study aimed to evaluate the association of imaging signs, and to establish a predictive model through selecting highly relevant imaging signs in combination with clinical parameters for hematoma expansion.Intracerebral Hemorrhage (ICH) patients who received 2 consecutive noncontrast computed tomography scans were examined and recruited through January 2014 to December 2020. Demographic information and clinical characteristics were collected. Two experienced radiologists reviewed baseline noncontrast computed tomography images to assess the imaging characteristics. Correlation analysis was analyzed with Pearson and Spearman correlation tests. The association between clinical and imaging predictors with hematoma expansion was evaluated in multivariate models. Receiver operating characteristic (ROC) curve analysis was adopted to evaluate predictive performance.A total of 232 ICH patients, with mean age of 59.73 years, and 31% of female were included, among which, 32 patients occurred with hematoma expansion. For sex, ICH density, low density in hematoma, the midline shift, and Glasgow Coma Scale score, liquid level, H-tra, edema Cor, H Volume, time from onset to examination, there were significant differences between the 2 groups. As for imaging signs, only blend sign showed a significant difference, that patients with blend sign had a higher incidence of ICH expansion. The logistic analysis found that radiation attenuation, liquid level, the midline shift, Glasgow Coma Scale score, history of ischemic stroke, and smoking could predict the occurrence of ICH expansion.In summary, the model combined radiological characteristics with clinical indicators showed considerable predictive performance. Further validation is needed to verify the findings and help transfer to clinical practice.
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Affiliation(s)
- Peng Wang
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Fa Wu
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Yang Wang
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Feizhou Du
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Xiaokun Yang
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Jianhao Li
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Jinping Sheng
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Hongmei Yu
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
| | - Rui Jiang
- Department of Radiology, The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, PR China
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77
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Advances in computed tomography-based prognostic methods for intracerebral hemorrhage. Neurosurg Rev 2022; 45:2041-2050. [DOI: 10.1007/s10143-022-01760-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 10/19/2022]
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78
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Lin F, He Q, Tong Y, Zhao M, Ye G, Gao Z, Huang W, Cai L, Wang F, Fang W, Lin Y, Wang D, Dai L, Kang D. Early Deterioration and Long-Term Prognosis of Patients With Intracerebral Hemorrhage Along With Hematoma Volume More Than 20 ml: Who Needs Surgery? Front Neurol 2022; 12:789060. [PMID: 35069417 PMCID: PMC8766747 DOI: 10.3389/fneur.2021.789060] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Purpose: The treatment of patients with intracerebral hemorrhage along with moderate hematoma and without cerebral hernia is controversial. This study aimed to explore risk factors and establish prediction models for early deterioration and poor prognosis. Methods: We screened patients from the prospective intracerebral hemorrhage (ICH) registration database (RIS-MIS-ICH, ClinicalTrials.gov Identifier: NCT03862729). The enrolled patients had no brain hernia at admission, with a hematoma volume of more than 20 ml. All patients were initially treated by conservative methods and followed up ≥ 1 year. A decline of Glasgow Coma Scale (GCS) more than 2 or conversion to surgery within 72 h after admission was defined as early deterioration. Modified Rankin Scale (mRS) ≥ 4 at 1 year after stroke was defined as poor prognosis. The independent risk factors of early deterioration and poor prognosis were determined by univariate and multivariate regression analysis. The prediction models were established based on the weight of the independent risk factors. The accuracy and value of models were tested by the receiver operating characteristic (ROC) curve. Results: After screening 632 patients with ICH, a total of 123 legal patients were included. According to statistical analysis, admission GCS (OR, 1.43; 95% CI, 1.18–1.74; P < 0.001) and hematoma volume (OR, 0.9; 95% CI, 0.84–0.97; P = 0.003) were the independent risk factors for early deterioration. Hematoma location (OR, 0.027; 95% CI, 0.004–0.17; P < 0.001) and hematoma volume (OR, 1.09; 95% CI, 1.03–1.15; P < 0.001) were the independent risk factors for poor prognosis, and island sign had a trend toward significance (OR, 0.5; 95% CI, 0.16-1.57; P = 0.051). The admission GCS and hematoma volume score were combined for an early deterioration prediction model with a score from 2 to 5. ROC curve showed an area under the curve (AUC) was 0.778 and cut-off point was 3.5. Combining the score of hematoma volume, island sign, and hematoma location, a long-term prognosis prediction model was established with a score from 2 to 6. ROC curve showed AUC was 0.792 and cutoff point was 4.5. Conclusions: The novel early deterioration and long-term prognosis prediction models are simple, objective, and accurate for patients with ICH along with a hematoma volume of more than 20 ml.
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Affiliation(s)
- Fuxin Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Clinical Research Center for Neurological Diseases, Fuzhou, China
| | - Qiu He
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Youliang Tong
- Department of Neurosurgery, Wupin County Hospital, Wupin, China
| | - Mingpei Zhao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Gezhao Ye
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zhuyu Gao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wei Huang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Lveming Cai
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Fangyu Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Department of Neurosurgery, Wupin County Hospital, Wupin, China
| | - Wenhua Fang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Department of Neurosurgery, Wupin County Hospital, Wupin, China
| | - Yuanxiang Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Clinical Research Center for Neurological Diseases, Fuzhou, China
| | - Dengliang Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Clinical Research Center for Neurological Diseases, Fuzhou, China
| | - Linsun Dai
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Clinical Research Center for Neurological Diseases, Fuzhou, China
| | - Dezhi Kang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Clinical Research Center for Neurological Diseases, Fuzhou, China
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Falcone J, Chen JW. Early Minimally Invasive Parafascicular Surgery for Evacuation of Spontaneous Intracerebral Hemorrhage in the Setting of Computed Tomography Angiography Spot Sign: A Case Series. Oper Neurosurg (Hagerstown) 2022; 22:123-130. [PMID: 35030111 DOI: 10.1227/ons.0000000000000078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/03/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Spontaneous intracerebral hemorrhage (sICH) is associated with high morbidity and mortality, and the role of surgery is uncertain. Spot sign on computed tomography angiography (CTA) has previously been seen as a contraindication for minimally invasive techniques. OBJECTIVE To demonstrate the use of minimally invasive parafascicular surgery (MIPS) for early evacuation of sICH in patients with spot sign on CTA. METHODS Retrospective review of patients presenting to a US tertiary academic medical center from 2018 to 2020 with sICH and CTA spot sign who were treated with MIPS within 6 h of arrival. RESULTS Seven patients (6 men and 1 woman, mean age 54.4 yr) were included in this study. There was a significant decrease between preoperative and postoperative intracerebral hemorrhage volumes (75.03 ± 39.00 cm3 vs 19.48 ± 17.81 cm3, P = .005) and intracerebral hemorrhage score (3.1 ± 0.9 vs 1.9 ± 0.9, P = .020). The mean time from arrival to surgery was 3.72 h (±1.22 h). The mean percentage of hematoma evacuation was 73.78% (±21.11%). The in-hospital mortality was 14.29%, and the mean modified Rankin score at discharge was 4.6 (±1.3). No complications related to the surgery were encountered in any of the cases, with no abnormal intraoperative bleeding and no pathology demonstrating occult vascular lesion. CONCLUSION Early intervention with MIPS appears to be a safe and effective means of hematoma evacuation despite the presence of CTA spot sign, and this finding should not delay early intervention when indicated. Intraoperative hemostasis may be facilitated by the direct visualization provided by a tubular retractor system.
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Affiliation(s)
- Joseph Falcone
- Department of Neurosurgery, University of California Irvine, Orange, California, USA
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80
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Dundamadappa SK. Nontraumatic brain parenchymal hemorrhage: The usual suspects and more. Clin Imaging 2022; 83:99-122. [PMID: 35032839 DOI: 10.1016/j.clinimag.2021.12.010] [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: 09/24/2021] [Revised: 11/23/2021] [Accepted: 12/09/2021] [Indexed: 11/28/2022]
Abstract
Brain parenchymal hemorrhage is a common neuroimaging finding in an emergency room. It is considered primary in the absence of an underlying lesion or coagulopathy. Secondary hemorrhages are caused by various structural causes and pathologies. The goals of imaging are to identify the hematoma, assess factors that have prognostic significance, assess associated complications, identify an underlying etiology whenever possible, and guide therapeutic decisions. The review provides an illustrative review of various etiologies of non-traumatic brain parenchymal hemorrhage and their imaging evaluation.
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Affiliation(s)
- Sathish Kumar Dundamadappa
- Umass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01655, United States of America.
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81
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Dzialowski I, Puetz V, Parsons M, Bivard A, von Kummer R. Computed Tomography-Based Evaluation of Cerebrovascular Disease. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00047-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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82
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Anderson CS. Intracerebral Hemorrhage. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00028-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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83
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Picard JM, Schmidt C, Sheth KN, Bösel J. Critical Care of the Patient With Acute Stroke. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00056-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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84
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Lim MJR, Quek RHC, Ng KJ, Loh NHW, Lwin S, Teo K, Nga VDW, Yeo TT, Motani M. Machine Learning Models Prognosticate Functional Outcomes Better than Clinical Scores in Spontaneous Intracerebral Haemorrhage. J Stroke Cerebrovasc Dis 2021; 31:106234. [PMID: 34896819 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/11/2021] [Accepted: 11/17/2021] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE This study aims to develop and compare the use of deep neural networks (DNN) and support vector machines (SVM) to clinical prognostic scores for prognosticating 30-day mortality and 90-day poor functional outcome (PFO) in spontaneous intracerebral haemorrhage (SICH). MATERIALS AND METHODS We conducted a retrospective cohort study of 297 SICH patients between December 2014 and May 2016. Clinical data was collected from electronic medical records using standardized data collection forms. The machine learning workflow included imputation of missing data, dimensionality reduction, imbalanced-class correction, and evaluation using cross-validation and comparison of accuracy against clinical prognostic scores. RESULTS 32 (11%) patients had 30-day mortality while 177 (63%) patients had 90-day PFO. For prognosticating 30-day mortality, the class-balanced accuracies for DNN (0.875; 95% CI 0.800-0.950; McNemar's p-value 1.000) and SVM (0.848; 95% CI 0.767-0.930; McNemar's p-value 0.791) were comparable to that of the original ICH score (0.833; 95% CI 0.748-0.918). The c-statistics for DNN (0.895; DeLong's p-value 0.715), and SVM (0.900; DeLong's p-value 0.619), though greater than that of the original ICH score (0.862), were not significantly different. For prognosticating 90-day PFO, the class-balanced accuracies for DNN (0.853; 95% CI 0.772-0.934; McNemar's p-value 0.003) and SVM (0.860; 95% CI 0.781-0.939; McNemar's p-value 0.004) were better than that of the ICH-Grading Scale (0.706; 95% CI 0.600-0.812). The c-statistic for SVM (0.883; DeLong's p-value 0.022) was significantly greater than that of the ICH-Grading Scale (0.778), while the c-statistic for DNN was 0.864 (DeLong's p-value 0.055). CONCLUSION We showed that the SVM model performs significantly better than clinical prognostic scores in predicting 90-day PFO in SICH.
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Affiliation(s)
- Mervyn Jun Rui Lim
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore.
| | | | - Kai Jie Ng
- Yong Loo Lin School of Medicine, National University of Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital, Singapore
| | - Sein Lwin
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Kejia Teo
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Vincent Diong Weng Nga
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Tseng Tsai Yeo
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Mehul Motani
- Department of Electrical and Computer Engineering, National University of Singapore; N.1 Institute for Health, National University of Singapore; Institute for Data Science, National University of Singapore
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85
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Wang W, Jin W, Feng H, Wu G, Wang W, Jia J, Ji R, Wang A, Zhao X. Higher Cerebral Blood Flow Predicts Early Hematoma Expansion in Patients With Intracerebral Hemorrhage: A Clinical Study. Front Neurol 2021; 12:735771. [PMID: 34938256 PMCID: PMC8685442 DOI: 10.3389/fneur.2021.735771] [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: 07/03/2021] [Accepted: 11/03/2021] [Indexed: 12/03/2022] Open
Abstract
The early hematoma expansion of intracerebral hemorrhage (ICH) indicates a poor prognosis. This paper studies the relationship between cerebral blood flow (CBF) around the hematoma and hematoma expansion (HE) in the acute stage of intracerebral hemorrhage. A total of 50 patients with supratentorial cerebral hemorrhage were enrolled in this study. They underwent baseline whole-brain CTP within 6 h after intracerebral hemorrhage, and non-contrast CT within 24 h. Absolute hematoma growth and relative hematoma growth were calculated, respectively. A relative growth of Hematoma volume >33% was considered to be hematoma expansion. The Ipsilateral peri-edema CBF and Ipsilateral edema CBF were calculated by CTP maps in patients with and without hematoma expansion, respectively. In this study the incidence of hematoma expansion in the early stage of supratentorial cerebral hemorrhage was 32%; The CBF of the hematoma expansion group was higher than that of the patients without hematoma expansion (23.5 ± 12.5 vs. 15.1 ± 7.4, P = 0.004). After adjusting for age, gender, Symptom onset to NCCT and Baseline hematoma volume, ipsilateral peri-edema CBF was still an independent risk factor for early HE (or = 1.095, 95% CI = 1.01-1.19, P = 0.024). Here, we concluded that higher cerebral blood flow predicts early hematoma expansion in patients with intracerebral hemorrhage.
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Affiliation(s)
- Weijing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Haidian Hospital, Beijing, China
- Department of Neurology, Haidian Section of Peking University Third Hospital, Beijing, China
| | - Weitao Jin
- Department of Neurosurgery, Peking University International Hospital, Beijing, China
| | - Hao Feng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Guoliang Wu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiaokun Jia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Ruijun Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
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86
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Rangaraj S, Islam M, Vs V, Wijethilake N, Uppal U, See AAQ, Chan J, James ML, King NKK, Ren H. Identifying risk factors of intracerebral hemorrhage stability using explainable attention model. Med Biol Eng Comput 2021; 60:337-348. [PMID: 34859369 DOI: 10.1007/s11517-021-02459-y] [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: 11/01/2020] [Accepted: 09/29/2021] [Indexed: 10/19/2022]
Abstract
Segmentation of intracerebral hemorrhage (ICH) helps improve the quality of diagnosis, draft the desired treatment methods, and clinically observe the variations with healthy patients. The clinical utilization of various ICH progression scoring systems has limitations due to the systems' modest predictive value. This paper proposes a single pipeline of a multi-task model for end-to-end hemorrhage segmentation and risk estimation. We introduce a 3D spatial attention unit and integrate it into the state-of-the-art segmentation architecture, UNet, to enhance the accuracy by bootstrapping the global spatial representation. We further extract the geometric features from the segmented hemorrhage volume and fuse them with clinical features such as CT angiography (CTA) spot, Glasgow Coma Scale (GCS), and age to predict the ICH stability. Several state-of-the-art machine learning techniques such as multilayer perceptron (MLP), support vector machine (SVM), gradient boosting, and random forests are applied to train stability estimation and to compare the performances. To align clinical intuition with model learning, we determine the shapely values (SHAP) and explain the most significant features for the ICH risk scoring system. A total of 79 patients are included, of which 20 are found in critical condition. Our proposed single pipeline model achieves a segmentation accuracy of 86.3%, stability prediction accuracy of 78.3%, and precision of 82.9%; the mean square error of exact expansion rate regression is observed to be 0.46. The SHAP analysis reveals that CTA spot sign, age, solidity, location, and length of the first axis of the ICH volume are the most critical characteristics that help define the stability of the stroke lesion. We also show that integrating significant geometric features with clinical features can improve the ICH progression scoring by predicting long-term outcomes. Graphical abstract Overview of our proposed method comprising of spatial attention and feature extraction mechanisms. The architecture is trained on the input CT images, and the first step output is the predicted segmentation of the hemorrhagic region. The output is fed into a geometric feature extractor and is fused with clinical features to estimate ICH stability using a multilayer perceptron (MLP).
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Affiliation(s)
- Seshasayi Rangaraj
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,Department of ECE, National Institute of Technology, Tiruchirappalli, India
| | - Mobarakol Islam
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,NUS Graduate School for Integrative Sciences and Engineering (NGS), National University of Singapore, Singapore, Singapore
| | - Vibashan Vs
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,Department of ECE, National Institute of Technology, Tiruchirappalli, India
| | - Navodini Wijethilake
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,Department of ENTC, University of Moratuwa, Moratuwa, Sri Lanka
| | - Utkarsh Uppal
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,Department of Electrical Engineering, Punjab Engineering College, Chandigarh, India
| | - Angela An Qi See
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Jasmine Chan
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | | | - Nicolas Kon Kam King
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.,Neuro Asia Care, Mount Elizabeth Hospital, Singapore, Singapore
| | - Hongliang Ren
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore. .,Department of Electronic Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong.
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87
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Bi Q, Hou J, Krafft PR, Zhou X. Crescent-shaped enhancement in cranial CT angiography: A manifestation of intracerebral hematoma expansion. BRAIN HEMORRHAGES 2021. [DOI: 10.1016/j.hest.2021.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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88
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Cai Q, Zhang X, Chen H. Patients with venous thromboembolism after spontaneous intracerebral hemorrhage: a review. Thromb J 2021; 19:93. [PMID: 34838069 PMCID: PMC8626951 DOI: 10.1186/s12959-021-00345-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/14/2021] [Indexed: 01/17/2023] Open
Abstract
Background Patients with spontaneous intracerebral hemorrhage (ICH) have a higher risk of venous thromboembolism (VTE) and in-hospital VTE is independently associated with poor outcomes for this patient population. Methods A comprehensive literature search about patients with VTE after spontaneous ICH was conducted using databases MEDLINE and PubMed. We searched for the following terms and other related terms (in US and UK spelling) to identify relevant studies: intracerebral hemorrhage, ICH, intraparenchymal hemorrhage, IPH, venous thromboembolism, VTE, deep vein thrombosis, DVT, pulmonary embolism, and PE. The search was restricted to human subjects and limited to articles published in English. Abstracts were screened and data from potentially relevant articles was analyzed. Results The prophylaxis and treatment of VTE are of vital importance for patients with spontaneous ICH. Prophylaxis measures can be mainly categorized into mechanical prophylaxis and chemoprophylaxis. Treatment strategies include anticoagulation, vena cava filter, systemic thrombolytic therapy, catheter-based thrombus removal, and surgical embolectomy. We briefly summarized the state of knowledge regarding the prophylaxis measures and treatment strategies of VTE after spontaneous ICH in this review, especially on chemoprophylaxis and anticoagulation therapy. Early mechanical prophylaxis, especially with intermittent pneumatic compression, is recommended by recent guidelines for patients with spontaneous ICH. While decision-making on chemoprophylaxis and anticoagulation therapy evokes debate among clinicians, because of the concern that anticoagulants may increase the risk of recurrent ICH and hematoma expansion. Uncertainty still exists regarding optimal anticoagulants, the timing of initiation, and dosage. Conclusion Based on current evidence, we deem that initiating chemoprophylaxis with UFH/LMWH within 24–48 h of ICH onset could be safe; anticoagulation therapy should depend on individual clinical condition; the role of NOACs in this patient population could be promising.
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Affiliation(s)
- Qiyan Cai
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Xin Zhang
- Respiratory Disease Department, Xinqiao Hospital, Chongqing, China
| | - Hong Chen
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
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89
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Escudero D, Astola I, Balboa S, Leoz B, Meilan Á, Del Busto C, Quindós B, Forcelledo L, Vizcaino D, Martín L, Salgado E, Viña L. Clinico-radiological related to early brain death factors. Med Intensiva 2021; 46:1-7. [PMID: 34802992 DOI: 10.1016/j.medine.2021.11.005] [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: 10/31/2019] [Revised: 06/09/2020] [Accepted: 06/28/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To identify clinical and radiological factors associated to early evolution to brain death (BD), defined as occurring within the first 24 h. DESIGN A retrospective cohort study was made covering the period 2015-2017. SETTING An adult Intensive Care Unit (ICU). PATIENTS/METHODS Epidemiological, clinical and imaging (CT scan) parameters upon admission to the ICU in patients evolving to BD. RESULTS A total of 166 patients with BD (86 males, mean age 62.7 years) were analyzed. Primary cause: intracerebral hemorrhage 42.8%, subarachnoid hemorrhage 18.7%, traumatic brain injury 17.5%, anoxia 9%, stroke 7.8%, other causes 4.2%. Epidemiological data: arterial hypertension 50%, dyslipidemia 34%, smoking 33%, antiplatelet medication 21%, alcoholism 19%, anticoagulant therapy 15%, diabetes 15%. The Glasgow Coma Score (GCS) upon admission was 3 in 68.8% of the cases in early BD versus in 38.2% of the cases in BD occurring after 24 h (p = 0.0001). Eighty-five patients presented supratentorial hematomas with a volume of 90.9 ml in early BD versus 82.7 ml in BD > 24 h (p = 0.54). The mean midline shift was 10.7 mm in early BD versus 7.8 mm in BD > 24 h (p = 0.045). Ninety-one patients presented ventriculomegaly and 38 additionally ependymal transudation (p = 0.021). Thirty-six patients with early BD versus 24 with BD > 24 h presented complete effacement of basal cisterns (p = 0.005), sulcular effacement (p = 0.013), loss of cortico-subcortical differentiation (p = 0.0001) and effacement of the suprasellar cistern (p = 0.005). The optic nerve sheath measurements showed no significant differences between groups. CONCLUSIONS Early BD (>24 h) was associated to GCS < 5, midline shift, effacement of the basal cisterns, cerebral sulci and suprasellar cistern, and ependymal transudation.
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Affiliation(s)
- D Escudero
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain.
| | - I Astola
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - S Balboa
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - B Leoz
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Á Meilan
- Sección de Neurorradiología, Servicio de Radiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - C Del Busto
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - B Quindós
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Forcelledo
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - D Vizcaino
- Sección de Neurorradiología, Servicio de Radiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Martín
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - E Salgado
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Viña
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
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90
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Kopacz AA, Miears H, Collins RA, Nagy L. Novel Predictive Markers on Computed Tomography for Predicting Early Epidural Hematoma Growth in Pediatric Patients. J Neurosci Rural Pract 2021; 12:689-693. [PMID: 34737503 PMCID: PMC8559077 DOI: 10.1055/s-0041-1735327] [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] [Indexed: 12/03/2022] Open
Abstract
Objective
Epidural hematoma (EDH), most often caused by rupture of the middle meningeal artery secondary to head trauma with fracture of the temporal bone, is a potentially fatal condition that can lead to elevated intracranial pressure, herniation, and death within hours following the inciting traumatic incident, unless surgical evacuation is accomplished. Several markers have been found to be associated with hematoma expansion in intracerebral hemorrhage (ICH) patients, including: the CT Blend Sign, Swirl Sign, and Black Hole Sign. This study aims to examine these markers, along with intradural air close to or in the region of an EDH and/or close to a significant fracture, fractures involving the skull base, and complicated (i.e., comminuted or displaced) fractures for possible associations to EDH growth in the pediatric population. Predicting hematoma growth is a crucial part of patient management, as surgery can be a life-saving intervention.
Methods
Scans from all pediatric patients with EDH from 2012 to 2019 across two separate health systems were examined and measurements were taken to determine whether these additional factors are of predictive value. Specifications such as length, transverse, and height measurements were taken from CT images.
Statistical Analysis
The average percent change in the hematoma measurements was used to determine which predictive factors were associated with a “noteworthy increase,” namely, an increase of greater than 25%. Additionally, the average percent change in hematoma size was evaluated for patients whose original imaging showed either all three CT signs or intradural air in all three specified locations.
Results
Most of the proposed markers were associated with EDH growth in this cohort. The established CT signs were also supported. This is notable, as most of the research on these signs has been in adult populations rather than pediatric.
Conclusions
Adding these novel imaging signs could aid in the decision to operate on versus observe PEDH patients, thereby preventing unnecessary procedures or preserving brain function quickly when surgery is indicated. This study serves as a starting point for several other investigations into the validity of the proposed markers as well as a reevaluation of the current signs in the pediatric population.
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Affiliation(s)
- Avery A Kopacz
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, Texas, United States
| | - Hunter Miears
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, Texas, United States
| | - Reagan A Collins
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, Texas, United States
| | - Laszlo Nagy
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, Texas, United States
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91
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Management of Intracerebral Hemorrhage: Update and Future Therapies. Curr Neurol Neurosci Rep 2021; 21:57. [PMID: 34599652 DOI: 10.1007/s11910-021-01144-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW Intracerebral hemorrhage (ICH) represents about 15% of all strokes in the USA, but almost 50% of fatal strokes. There are many causes of ICH, but the most common are hypertension and cerebral amyloid angiopathy. This review will discuss new advances in the treatment of intracerebral hemorrhage. RECENT FINDINGS The treatment of ICH focuses on management of edema, aggressive blood pressure reduction, and correction of coagulopathy. Early initiation of supportive medical therapies, including blood pressure management, in a neurological intensive care unit reduces mortality, but at present there is no definitive, curative therapy analogous to mechanical thrombectomy for ischemic stroke. Nonetheless, new medical and surgical approaches promise more successful management of ICH patients, especially new approaches to surgical management. In this review, we focus on the current standard of care of acute ICH and discuss emerging therapies that may alter the landscape of this devastating disease.
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92
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Size-Related Differences in Computed Tomography Markers of Hematoma Expansion in Acute Intracerebral Hemorrhage. Neurocrit Care 2021; 36:602-611. [PMID: 34590291 DOI: 10.1007/s12028-021-01347-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Noncontrast computed tomography (NCCT) markers for hematoma expansion (HE) in intracerebral hemorrhage (ICH) are difficult to be found in small ICHs, of which can also expand. We aimed to investigate whether there were size-related differences in the prevalence of NCCT markers and their association with HE. METHODS This retrospective analysis of prospectively collected stroke registry included 267 consecutive patients with ICH who underwent baseline NCCT within 12 h of onset. Qualitative NCCT markers, including heterogeneous density and irregular shape, were assessed. Hematoma density, defined as mean Hounsfield unit of hematoma, and hematoma volume were measured by semiautomated planimetry. Hematoma volume was categorized as small (≤ 10 ml) and large (> 10 ml). Associations of NCCT markers with HE were analyzed using multivariable logistic regression analyses. The model performances of NCCT markers and hematoma density were compared using receiver operating characteristic curves. RESULTS Hematoma expansion occurred in 29.9% of small ICHs and 35.5% of large ICHs. Qualitative NCCT markers were less frequently observed in small ICHs. Heterogeneous density, irregular shape, and hematoma density were associated with HE in small ICH (adjusted odds ratios [95% confidence interval] 3.94 [1.50-10.81], 4.23 [1.73-10.81], and 0.72 [0.60-0.84], respectively), and hematoma density was also related to HE in large ICH (0.84 [0.73-0.97). The model performance was significantly improved in small ICHs when hematoma density was added to the baseline model (DeLong's test, p = 0.02). CONCLUSIONS The prevalence of NCCT markers and their association with HE differed according to hematoma volume. Quantitative hematoma density was associated with HE, regardless of hematoma size.
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93
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Tanaka K, Toyoda K. Clinical Strategies Against Early Hematoma Expansion Following Intracerebral Hemorrhage. Front Neurosci 2021; 15:677744. [PMID: 34526875 PMCID: PMC8435629 DOI: 10.3389/fnins.2021.677744] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 08/05/2021] [Indexed: 02/01/2023] Open
Abstract
Hematoma volume is the strongest predictor of morbidity and mortality after intracerebral hemorrhage. Protection against early hematoma growth is therefore the mainstay of therapeutic intervention for acute intracerebral hemorrhage, but the current armamentarium is restricted to early blood pressure lowering and emergent reversal for anticoagulant agents. Although intensive lowering of systolic blood pressure to <140 mmHg appears likely to prevent hematoma growth, two recent randomized trials, INTERACT-2 and ATACH-2, demonstrated non-significant trends of reduced hematoma enlargement by intensive blood pressure control, with only a small magnitude of benefit or no benefit for clinical outcomes. While oral anticoagulants can be immediately reversed by prothrombin complex concentrate, or the newly developed idarucizumab for direct thrombin inhibitor or andexanet for factor Xa inhibitors, the situation regarding reversal of antiplatelet agents is not yet quite as advanced. However, considering at most the approximately 10% rate of anticoagulant use among patients with intracerebral hemorrhage, what is most essential for patients with intracerebral hemorrhage in general is early hemostatic therapy. Tranexamic acid may safely reduce hematoma expansion, but its hemostatic effect was insufficient to be translated into improved functional outcomes in the TICH-2 randomized trial with 2,325 participants. In this context, recombinant activated factor VII (rFVIIa) is a candidate to be added to the armory against hematoma enlargement. The FAST, a phase 3 trial that compared doses of 80 and 20 μg/kg rFVIIa with placebo in 841 patients within 4 h after the stroke onset, showed a significant reduction in hematoma growth with rFVIIa treatment, but demonstrated no significant difference in the proportion of patients with severe disability or death. However, a post hoc analysis of the FAST trial suggested a benefit of rFVIIa in a target subgroup of younger patients without extensive bleeding at baseline when treated earlier after stroke onset. The FASTEST trial is now being prepared to determine this potential benefit of rFVIIa, reflecting the pressing need to develop therapeutic strategies against hematoma enlargement, a powerful but modifiable prognostic factor in patients with intracerebral hemorrhage.
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Affiliation(s)
- Kanta Tanaka
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
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94
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Beucler N. Letter: Intracerebral Hemorrhage Volume Reduction and Timing of Intervention Versus Functional Benefit and Survival in the MISTIE III and STICH Trials. Neurosurgery 2021; 89:E245-E246. [PMID: 34293173 DOI: 10.1093/neuros/nyab261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Nathan Beucler
- Neurosurgery Department Sainte-Anne Military Teaching Hospital Toulon, France
- Ecole du Val-de-Grâce French Military Health Service Academy Paris, France
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95
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Lyerly MJ, Chow D. Neuroimaging Considerations in Patients with Chronic Kidney Disease. J Stroke Cerebrovasc Dis 2021; 30:105930. [PMID: 34176719 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 12/14/2022] Open
Abstract
Chronic Kidney Disease is a common medical condition that frequently overlaps with neurologic disease. Neuroimaging can be a useful tool to aid in the diagnoses of neurologic illness, including those that result from renal impairment. Some neuroimaging studies also have the potential to lead to adverse effects on the kidneys necessitating a thoughtful approach to selection of imaging modalities. In particular, multimodal imaging is becoming increasingly common in patients presenting with symptoms of acute stroke, a population that may be at higher risk for renal complications. This article will summarize the neuroimaging manifestations of conditions with shared renal and neurologic involvement and highlight considerations regarding the use of contrast media, nephrogenic systemic fibrosis, and metformin-associated lactic acidosis.
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Affiliation(s)
- Michael J Lyerly
- Department of Neurology, University of Alabama at Birmingham USA; Birmingham VA Medical Center USA.
| | - Daniel Chow
- Department of Radiology, University of California-Irvine USA
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96
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The Magnetic Resonance Imaging "Spot" Sign: A Sign of Imminent Intracranial Hemorrhage? Can J Neurol Sci 2021; 49:416-417. [PMID: 34346304 DOI: 10.1017/cjn.2021.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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97
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Gladstone DJ, Aviv RI, Demchuk AM, Hill MD, Thorpe KE, Khoury JC, Sucharew HJ, Al-Ajlan F, Butcher K, Dowlatshahi D, Gubitz G, De Masi S, Hall J, Gregg D, Mamdani M, Shamy M, Swartz RH, Del Campo CM, Cucchiara B, Panagos P, Goldstein JN, Carrozzella J, Jauch EC, Broderick JP, Flaherty ML. Effect of Recombinant Activated Coagulation Factor VII on Hemorrhage Expansion Among Patients With Spot Sign-Positive Acute Intracerebral Hemorrhage: The SPOTLIGHT and STOP-IT Randomized Clinical Trials. JAMA Neurol 2021; 76:1493-1501. [PMID: 31424491 DOI: 10.1001/jamaneurol.2019.2636] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Importance Intracerebral hemorrhage (ICH) is a devastating stroke type that lacks effective treatments. An imaging biomarker of ICH expansion-the computed tomography (CT) angiography spot sign-may identify a subgroup that could benefit from hemostatic therapy. Objective To investigate whether recombinant activated coagulation factor VII (rFVIIa) reduces hemorrhage expansion among patients with spot sign-positive ICH. Design, Setting, and Participants In parallel investigator-initiated, multicenter, double-blind, placebo-controlled randomized clinical trials in Canada ("Spot Sign" Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy [SPOTLIGHT]) and the United States (The Spot Sign for Predicting and Treating ICH Growth Study [STOP-IT]) with harmonized protocols and a preplanned individual patient-level pooled analysis, patients presenting to the emergency department with an acute primary spontaneous ICH and a spot sign on CT angiography were recruited. Data were collected from November 2010 to May 2016. Data were analyzed from November 2016 to May 2017. Interventions Eligible patients were randomly assigned 80 μg/kg of intravenous rFVIIa or placebo as soon as possible within 6.5 hours of stroke onset. Main Outcomes and Measures Head CT at 24 hours assessed parenchymal ICH volume expansion from baseline (primary outcome) and total (ie, parenchymal plus intraventricular) hemorrhage volume expansion (secondary outcome). The pooled analysis compared hemorrhage expansion between groups by analyzing 24-hour volumes in a linear regression model adjusted for baseline volumes, time from stroke onset to treatment, and trial. Results Of the 69 included patients, 35 (51%) were male, and the median (interquartile range [IQR]) age was 70 (59-80) years. Baseline median (IQR) ICH volumes were 16.3 (9.6-39.2) mL in the rFVIIa group and 20.4 (8.6-32.6) mL in the placebo group. Median (IQR) time from CT to treatment was 71 (57-96) minutes, and the median (IQR) time from stroke onset to treatment was 178 (138-197) minutes. The median (IQR) increase in ICH volume from baseline to 24 hours was small in both the rFVIIa group (2.5 [0-10.2] mL) and placebo group (2.6 [0-6.6] mL). After adjustment, there was no difference between groups on measures of ICH or total hemorrhage expansion. At 90 days, 9 of 30 patients in the rFVIIa group and 13 of 34 in the placebo group had died or were severely disabled (P = .60). Conclusions and Relevance Among patients with spot sign-positive ICH treated a median of about 3 hours from stroke onset, rFVIIa did not significantly improve radiographic or clinical outcomes. Trial Registration ClinicalTrials.gov identifier: NCT01359202 and NCT00810888.
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Affiliation(s)
- David J Gladstone
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Richard I Aviv
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Andrew M Demchuk
- Department of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Michael D Hill
- Department of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences and Medicine, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | - Jane C Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Heidi J Sucharew
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Fahad Al-Ajlan
- Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ken Butcher
- University of New South Wales, Prince of Wales Clinical School, Sydney, New South Wales, Australia
| | - Dar Dowlatshahi
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Gord Gubitz
- Division of Neurology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Stephanie De Masi
- Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | - Judith Hall
- Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | - David Gregg
- Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston
| | - Muhammad Mamdani
- Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | | | - Richard H Swartz
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - C Martin Del Campo
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Brett Cucchiara
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Peter Panagos
- Department of Emergency Medicine, Washington University in St Louis, St Louis, Missouri
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Janice Carrozzella
- Department of Radiology, University of Cincinnati Academic Health Center, Cincinnati, Ohio
| | - Edward C Jauch
- Mission Research Institute, Mission Health System, Asheville, North Carolina
| | - Joseph P Broderick
- Department of Neurology, University of Cincinnati Academic Health Center, Cincinnati, Ohio
| | - Matthew L Flaherty
- Department of Neurology, University of Cincinnati Academic Health Center, Cincinnati, Ohio
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98
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Serrano E, López-Rueda A, Moreno J, Rodríguez A, Llull L, Zwanzger C, Oleaga L, Amaro S. The new Hematoma Maturity Score is highly associated with poor clinical outcome in spontaneous intracerebral hemorrhage. Eur Radiol 2021; 32:290-299. [PMID: 34148109 DOI: 10.1007/s00330-021-08085-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/06/2021] [Accepted: 05/20/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVES The purpose of this study was to analyze the new combined indicators on noncontrast computed tomography (NCCT) to predict functional outcome at discharge, compared to previously individual radiological NCCT signs. METHODS Patients with spontaneous intracerebral hemorrhage (ICH) who underwent baseline CT scan were retrospectively analyzed. Black hole (BH) sign, blend sign (BS), island sign (IS), swirl sign (SwS), Barras classification, any hypodensity, any irregularity, and two combined novel indicators-Combined Barras Total Score (CBTS) and Hematoma Maturity Score-were assessed independently by two radiologists blinded to clinical information. Patients were trichotomized depending on the disability or dependency at discharge according to the Modified Rankin Scale (mRS): no symptoms or no significant/mild disability (mRS 0-2); moderate or severe disability (mRS 3-5); and mortality (mRS 6). RESULTS One hundred fourteen patients with spontaneous ICH confirmed by NCCT were included in the analysis. Multivariable statistical analysis was adjusted for anticoagulation, hematoma volume, ventricular expansion, hypertension, blood glucose level at admission, age, and history of atrial fibrillation and demonstrated that any hypodensity (OR 4.768, p 0.006), any irregularity (OR 4.768, p 0.006), CBTS ≥ 4 (OR 3.205, p 0.025), and the new Hematoma Maturity Score (Immature) (OR 5.872, p 0.006) are independent predictors of functional outcome at discharge. CONCLUSIONS The new concept of the Hematoma Maturity Score was the radiological sign on NCCT with the highest impact on clinical outcome in comparison with the rest of the evaluated radiological signs. KEY POINTS • This is the first manuscript where density and shape characteristics of the ICH had been evaluated together and integrated in a new Hematoma Maturity Score. • The new Hematoma Maturity Score is the radiological sign on NCCT with the highest impact on clinical outcome at discharge.
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Affiliation(s)
- Elena Serrano
- Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain
| | | | - Javier Moreno
- Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain
| | | | - Laura Llull
- Department of Neurology, Hospital Clínic Barcelona, Barcelona, Spain
| | | | - Laura Oleaga
- Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain
| | - Sergi Amaro
- Department of Neurology, Hospital Clínic Barcelona, Barcelona, Spain
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99
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Singh SD, Pasi M, Schreuder FHBM, Morotti A, Senff JR, Warren AD, McKaig BN, Schwab K, Gurol ME, Rosand J, Greenberg SM, Viswanathan A, Klijn CJM, Rinkel GJE, Goldstein JN, Brouwers HB. Computed Tomography Angiography Spot Sign, Hematoma Expansion, and Functional Outcome in Spontaneous Cerebellar Intracerebral Hemorrhage. Stroke 2021; 52:2902-2909. [PMID: 34126759 DOI: 10.1161/strokeaha.120.033297] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Sanjula D Singh
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.D.S., J.R.S., G.J.E.R., H.B.B.)
| | - Marco Pasi
- University of Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience and Cognition, France (M.P.)
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain Cognition and Behavior, Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands (F.H.B.M.S., C.J.M.K.)
| | - Andrea Morotti
- ASST Valcamonica, Neurology Unit, Esine (BS), Italy (A.M.)
| | - Jasper R Senff
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.D.S., J.R.S., G.J.E.R., H.B.B.)
| | - Andrew D Warren
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Brenna N McKaig
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Kristin Schwab
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - M Edip Gurol
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jonathan Rosand
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Genomic Medicine (J.R.), Massachusetts General Hospital, Harvard Medical School, Boston.,Division of Neurocritical Care and Emergency Neurology (J.R., J.N.G.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Steven M Greenberg
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Anand Viswanathan
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center (S.D.S., A.D.W., B.N.M., K.S., M.E.G., J.R., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain Cognition and Behavior, Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands (F.H.B.M.S., C.J.M.K.)
| | - Gabriel J E Rinkel
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.D.S., J.R.S., G.J.E.R., H.B.B.)
| | - Joshua N Goldstein
- Division of Neurocritical Care and Emergency Neurology (J.R., J.N.G.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Emergency Medicine (J.N.G.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - H Bart Brouwers
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands (S.D.S., J.R.S., G.J.E.R., H.B.B.)
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Li Q, Dong F, Wang Q, Xu F, Zhang M. A model comprising the blend sign and black hole sign shows good performance for predicting early intracerebral haemorrhage expansion: a comprehensive evaluation of CT features. Eur Radiol 2021; 31:9131-9138. [PMID: 34109487 DOI: 10.1007/s00330-021-08061-y] [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: 03/04/2021] [Revised: 04/17/2021] [Accepted: 05/07/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To predict early intracerebral haemorrhage expansion (HE) by comprehensive evaluation of commonly used noncontrast computed tomography (NCCT) features. METHODS Two hundred eighty-eight patients who had a spontaneous intracerebral haemorrhage (ICH) were included. All of the patients had undergone baseline NCCT within 6 h after ICH symptom onset. Ten NCCT features were extracted. Univariate analysis and multivariable logistic regression analysis were used to select the features. Using the finally selected features, a logistic regression model was built with a training cohort (n = 202) and subsequently validated in an independent test cohort (n = 86). Additionally, stratification analysis was performed in cases with and without anticoagulant therapy. RESULTS HE was found in 78 patients (27.1%). The blend sign and black hole sign were finally selected. The logistic regression model built with the two features exhibited accuracies of 76.7% and 75.6%, specificities of 98.6% and 98.4%, and positive predictive values (PPVs) of 83.3% and 75.0% for the training and test cohorts, respectively. The model also showed specificities of 100% and 98.5% and PPVs of 100% and 76.9% for the anticoagulant and non-anticoagulant drug use groups, respectively. These performances were better than those of each of the separate features. CONCLUSIONS By comprehensive evaluation, the model comprising the blend sign and black hole sign showed good performance for predicting early intracerebral haemorrhage expansion, particularly for high specificity and PPV, regardless of the anticoagulant status. KEY POINTS • Early identification of patients who are more likely to have haematoma expansion is important for therapeutic intervention. • Many radiological features have been reported to correlate with intracerebral haemorrhage expansion. • By integrating only the blend sign and black hole sign, the logistic regression model showed good performance for predicting early intracerebral haemorrhage expansion.
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Affiliation(s)
- Qian Li
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Fei Dong
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
| | - Qiyuan Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Fangfang Xu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
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