Hematoma Expansion Research Articles

CT Swirl Sign in intracranial hemorrhage and its association with hematoma expansion

CT Swirl Sign in intracranial hemorrhage and its association with hematoma expansion

Timing of Anticoagulation Resumption and Risk of Ischemic and Hemorrhagic Complications in Patients With ICH and Mechanical Heart Valves.

In patients with mechanical heart valves and recent intracranial hemorrhage (ICH), clinicians need to balance the risk of thromboembolism during the period off anticoagulation and the risk of hematoma expansion on anticoagulation. The optimal timing of anticoagulation resumption is unknown. We aimed to investigate the relationship between reversal therapy and ischemic stroke, between duration off anticoagulation and risk of ischemic strokes or systemic embolism and between timing of anticoagulation resumption and risk of rebleeding and ICH expansion. We conducted a retrospective cohort observational study in 3 tertiary hospitals. Consecutive adult patients with mechanical heart valves admitted for ICH between January 1, 2000, and July 13, 2022, were included. The primary end points of our study were thromboembolic events (cerebral, retinal, or systemic) while off anticoagulation and ICH expansion after anticoagulation resumption (defined by the following criteria: increase by one-third in intracerebral hematoma volume, increase by one-third in convexity subdural hemorrhage diameter, or visually unequivocal expansion of other ICH locations to the naked eye). A total of 171 patients with mechanical heart valves who experienced ICH were included in the final analysis. Most of the patients (79.5%) received reversal therapy for anticoagulation. Patients who received anticoagulation reversal therapy did not have increased risk of thromboembolic complications. Time off anticoagulation was not associated with risk of ischemic stroke; only 2 patients had a stroke within 7 days of the ICH, and both had additional major risk factors of thromboembolism. The rate of ischemic stroke/transient ischemic attack while off anticoagulation was lower than the rate of ICH expansion once anticoagulation was resumed (6.4% vs 9.9%). Furthermore, patients who developed ICH expansion had higher mortality compared with patients who had ischemic stroke while being off anticoagulation (41% vs 9%). Use of intravenous heparin bridging upon resumption of warfarin was strongly associated with increased risk of ICH expansion as compared with restarting warfarin without a heparin bridge. Withholding anticoagulation for at least 7 days after ICH may be safe in patients with mechanical heart valves. Heparin bridging during anticoagulation resumption may be associated with increased risk of bleeding.

Surgical Management for Primary Intracerebral Hemorrhage.

The incidence of primary intracerebral hemorrhage (ICH) is increasing, particularly in younger patients, in part, because of increased prescription of anticoagulants. The ICH incidence rate from 2016 to 2018 in the United States was nearly 79 per 100,000 person-years and as high as 367 per 100,000 person-years among those 75 years or older. Worldwide, ICH comprises 28% of all new strokes, but a higher disease burden than ischemic stroke because of its higher morbidity and mortality. While mortality seems to be decreasing, functional outcomes are not improving. After negative trials of open surgical evacuation, recent trials of medical management strategies including intensive blood pressure control and prothrombotic agents intended to reduce hematoma expansion failed to demonstrate efficacy. Concomitantly, continued interest in minimally invasive surgical approaches arose from appreciation of secondary iatrogenic injury incurred to subcortical white matter tracts from open surgical techniques. A positive trial of minimally invasive surgery for lobar hemorrhage has recently been reported, bringing new optimism and demanding a reconsideration of surgical management of ICH. In this narrative review, we summarize the landmark studies, review recent literature, and consider the outstanding questions surrounding surgical management of ICH.

Volumetric Assessment of Traumatic Intracranial Hematomas: Is ABC/2 Reliable?

Accurate measurement of traumatic intracranial hematoma volume is important for assessing disease progression and prognosis, as well as for serving as an important end-point in clinical trials aimed at preventing hematoma expansion. While the ABC/2 formula has traditionally been used for volume estimation in spontaneous intracerebral hemorrhage, its adaptation to traumatic hematomas lacks validation. This study aimed to compare the accuracy of ABC/2 with computer-assisted volumetric analysis (CAVA) in estimating the volumes of traumatic intracranial hematomas. We performed a dual-center observational study that included adult patients with moderate-to-severe traumatic brain injury. Volumes of intracerebral, subdural (SDHs), and epidural hematomas from admission computed tomography scans were measured using ABC/2 and CAVA, and compared using the Wilcoxon signed-rank test, Spearman's rank correlation, Lin's concordance correlation coefficient (CCC), and Bland-Altman plots. Prognostic significance for outcomes was evaluated through logistic and linear regression models. In total, 1,179 patients with 1,543 hematomas were included. Despite a high correlation (Spearman coefficients between 0.95 and 0.98) and excellent concordance (Lin's CCC from 0.89 to 0.96) between ABC/2 and CAVA, ABC/2 overestimated hematoma volumes compared with CAVA, in some instances exceeding 50 ml. Bland-Altman analysis highlighted wide limits of agreement, especially in SDH. While both methods demonstrated comparable accuracy in predicting outcomes, CAVA was slightly better at predicting craniotomies and midline shift. We conclude that while ABC/2 provides a generally reliable volumetric assessment suitable for descriptive purposes and as baseline variables in studies, CAVA should be the gold standard in clinical situations and studies requiring more precise volume estimations, such as those using hematoma expansion as an outcome.

Low hemoglobin causes hematoma expansion and poor intracerebral hemorrhage outcomes.

Although lower hemoglobin levels associate with worse intracerebral hemorrhage (ICH) outcomes, causal drivers for this relationship remain unclear. We investigated the hypothesis that lower hemoglobin relates to increased hematoma expansion (HE) risk and poor outcomes using human observational data and assessed causal relationships using a translational murine model of anemia and ICH. ICH patients with baseline hemoglobin measurements and serial CT neuroimaging enrolled between 2010-2016 to a multicenter, prospective observational cohort study were studied. Patients with systemic evidence of coagulopathy were excluded. Separate regression models assessed relationships of baseline hemoglobin with HE (≥33% and/or ≥6mL growth) and poor long-term neurological outcomes (modified Rankin Scale 4-6) after adjusting for relevant covariates. Using a murine collagenase ICH model with serial neuroimaging in anemic vs. non-anemic C57/BL6 mice, intergroup differences in ICH lesion volume, ICH volume changes, and early mortality were assessed. Among 1190 ICH patients analyzed, lower baseline hemoglobin levels associated with increased odds of HE (adjusted OR per -1g/dL hemoglobin decrement: 1.10 [1.02-1.19]) and poor 3-month clinical outcomes (adjusted OR per -1g/dL hemoglobin decrement: 1.11 [1.03-1.21]). Similar relationships were seen with poor 6 and 12-month outcomes. In our animal model, anemic mice had significantly greater ICH lesion expansion, final lesion volumes, and greater mortality, as compared to non-anemic mice. These results, in a human cohort and a mouse model, provide novel evidence suggesting that anemia has causal roles in HE and poor ICH outcomes. Additional studies are required to clarify whether correcting anemia can improve these outcomes.

Co-localization of NCCT hypodensity and CTA spot sign predicts substantial intracerebral hematoma expansion: The Black-&-White sign.

Existing radiological markers of hematoma expansion (HE) show modest predictive accuracy. We aim to investigate a novel radiological marker that co-localizes findings from non-contrast CT (NCCT) and CT angiography (CTA) to predict HE. Consecutive acute intracerebral hemorrhage patients admitted at Foothills Medical Centre in Calgary, Canada, were included. The Black-&-White sign was defined as any visually identified spot sign on CTA co-localized with a hypodensity sign on the corresponding NCCT. The primary outcome was hematoma expansion (⩾6 mL or ⩾33%). Secondary outcomes included absolute (<3, 3-6, 6-12, ⩾12 mL) and relative (0%, <25%, 25%-50%, 50%-75%, or >75%) hematoma growth scales. Two-hundred patients were included, with 50 (25%) experiencing HE. Forty-four (22%) showed the spot sign, 69 (34.5%) the hypodensity sign, and 14 (7%) co-localized both as the Black-&-White sign. Those with the Black-&-White sign had higher proportions of HE (100% vs 19.4%, p < 0.001), greater absolute hematoma growth (23.37 mL (IQR = 15.41-30.27) vs 0 mL (IQR = 0-2.39), p < 0.001) and relative hematoma growth (120% (IQR = 49-192) vs 0% (0-15%), p < 0.001). The Black-&-White sign had a specificity of 100% (95%CI = 97.6%-100%), a positive predictive value of 100% (95%CI = 76.8%-100%), and an overall accuracy of 82% (95%CI = 76%-87.1%). Among the 14 patients with the Black-&-White sign, 13 showed an absolute hematoma growth ⩾12 mL, and 10 experienced a HE exceeding 75% of the initial volume. The inter-rater agreement was excellent (kappa coefficient = 0.84). The Black-&-White sign is a robust predictor of hematoma expansion occurrence and severity, yet further validation is needed to confirm these compelling findings.

Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes.

The objective of this study was to define clinically meaningful phenotypes of intracerebral hemorrhage (ICH) using machine learning. We used patient data from two US medical centers and the Antihypertensive Treatment of Acute Cerebral Hemorrhage-II clinical trial. We used k-prototypes to partition patient admission data. We then used silhouette method calculations and elbow method heuristics to optimize the clusters. Associations between phenotypes, complications (e.g., seizures), and functional outcomes were assessed using the Kruskal-Wallis H-test or χ2 test. There were 916 patients; the mean age was 63.8 ± 14.1 years, and 426 patients were female (46.5%). Three distinct clinical phenotypes emerged: patients with small hematomas, elevated blood pressure, and Glasgow Coma Scale scores > 12 (n = 141, 26.6%); patients with hematoma expansion and elevated international normalized ratio (n = 204, 38.4%); and patients with median hematoma volumes of 24 (interquartile range 8.2-59.5) mL, who were more frequently Black or African American, and who were likely to have intraventricular hemorrhage (n = 186, 35.0%). There were associations between clinical phenotype and seizure (P = 0.024), length of stay (P = 0.001), discharge disposition (P < 0.001), and death or disability (modified Rankin Scale scores 4-6) at 3-months' follow-up (P < 0.001). We reproduced these three clinical phenotypes of ICH in an independent cohort (n = 385) for external validation. Machine learning identified three phenotypes of ICH that are clinically significant, associated with patient complications, and associated with functional outcomes. Cerebellar hematomas are an additional phenotype underrepresented in our data sources.

Influence of bundled care treatment on functional outcome in patients with intracerebral hemorrhage.

General guideline recommendations in patients with intracerebral hemorrhage (ICH) include blood pressure-, temperature- and glucose management. The therapeutic effect of such a "care bundle" (blood pressure lowering, glycemic control, and treatment of pyrexia) on clinical outcomes becomes increasingly established. For the present study, we aimed to investigate associations of strict bundled care treatment (BCT) with clinical outcomes and characterize associations with key outcome effectors such as hematoma enlargement (HE) and peak perihemorrhagic edema (PHE). We screened consecutive ICH patients (n = 1,322) from the prospective UKER-ICH cohort study. BCT was defined as achieving and maintaining therapeutic ranges for systolic blood pressure (110-160 mmHg), glucose (80-180 mg/dL), and body temperature (35.5-37.5°C) over the first 72 h. The primary outcome was the functional outcome at 12 months (modified Rankin Scale (mRS) 0-3). Secondary outcomes included mortality at 12 months, the occurrence of hematoma enlargement, and the development of peak perihemorrhagic edema. Confounding was addressed by a doubly robust methodology to calculate the absolute treatment effect (ATE) and by calculating e-values. A total of 681 patients remained for analysis, and 182 patients fulfilled all three BCT criteria and were compared to 499 controls. The ATE of BCT to achieve the primary outcome was 9.3%, 95% CI (1.7 to 16.9), p < 0.001; e-value: 3.1, CI (1.8). Mortality at 12 months was significantly reduced by BCT [ATE: -12.8%, 95% CI (-19.8 to -5.7), p < 0.001; e-value: 3.8, CI (2.2)], and no association was observed for HE or peak PHE. Significant drivers of BCT effect on the primary outcome were systolic blood pressure control (ATE: 15.9%) and maintenance of normothermia (ATE: 10.9%). Strict adherence to this "care bundle" over the first 72 h during acute hospital care in patients with ICH was independently associated with improved functional long-term outcome, driven by systolic blood pressure control and maintenance of normothermia. Our findings strongly warrant prospective validation to determine the generalizability especially in Western countries.Clinical trial registration:ClinicalTrials.gov, identifier [ID: NCT03183167].

Timing Matters: Ultra-Early and Early versus Late Thromboprophyaxis Following Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.

Spontaneous intracerebral hemorrhage (ICH) represents a critical and potentially devastating medical event resulting from the rupture of intracerebral vessels. Patients afflicted with ICH face an increased risk of venous thromboembolism (VTE) due to factors such as immobility. However, determining the ideal timing for initiating venous thromboembolism thromboprophylaxis (TP) remains uncertain, as it may carry the potential risk of exacerbating hematoma expansion. Thus, our objective was to ascertain the optimal timing for initiating TP following ICH through a comprehensive systematic review and meta-analysis.This systematic review and meta-analysis were performed following the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement guidelines, considering outcomes based on the time of intervention: Ultra early (UEPT) < 24h, Early (EPT) < 48h, Late (LPT) > 48h to perform an analysis on hematoma expansion and mortality.Of 2.777 Hematoma expansion was not more frequent in the 440 patients receiving UEPT/EPT (n = 440) versus 565 receiving LPT (Odds ratio (OR) 0.94 (95% CI; 0.62 to 1.43; I2 = 0%)). Similarly, mortality was not lower in the 293 received UEPT or EPT versus 477 receiving LPT (OR 0.63 (95% CI; 0.39 to 1.0; I2 = 0%).This study, through a systematic review and meta-analysis, conclusively found no difference in intracranial hematoma expansion and/or increased mortality between the use of heparin in the early thromboprophylaxis (< 48h) group compared to the late thromboprophylaxis (> 48h) group. Implementing this approach in the management of spontaneous cerebral hemorrhage could facilitate progress towards more optimal care protocols.

Code-ICH: A New Paradigm for Emergency Intervention.

Intracerebral hemorrhage (ICH) is the most devastating type of stroke, causing widespread disability and mortality. Unfortunately, the acute care of ICH has lagged behind that of ischemic stroke. There is an increasing body of evidence supporting the importance of early interventions including aggressive control of blood pressure and reversal of anticoagulation in the initial minutes to hours of presentation. This review highlights scientific evidence behind a new paradigm to care for these patients called Code-ICH. While numerous trials aimed at decreasing hematoma expansion through single interventions had failed to show statistically significant effects on primary outcomes, time-sensitive, multifaceted, bundled care approaches have recently shown substantial promise in improving functional outcomes in patients with ICH. The concept of Code-ICH can serve as a structural platform for the practice of acute care neurology to continuously measure its performance, reflect on best practices, advance care, and address disparities.

A Deep Learning-Based Framework for Predicting Intracerebral Hemorrhage Hematoma Expansion Using Head Non-contrast CT Scan

Rationale and ObjectivesHematoma expansion (HE) in intracerebral hemorrhage (ICH) is a critical factor affecting patient outcomes, yet effective clinical tools for predicting HE are currently lacking. We aim to develop a fully automated framework based on deep learning for predicting HE using only clinical non-contrast CT (NCCT) scans. Materials and MethodsA large retrospective dataset (n=2,484) was collected from 84 centers, while a prospective dataset (n=500) was obtained from 26 additional centers. Baseline NCCT scans and follow-up NCCT scans were conducted within 6 hours and 48 hours from symptom onset, respectively. HE was defined as a volume increase of more than 6 mL on the follow-up NCCT. The retrospective dataset was divided into a training set (n=1,876) and a validation set (n=608) by patient inclusion time. A two-stage framework was trained to predict HE, and its performance was evaluated on both the validation and prospective sets. Receiver operating characteristics area under the curve (AUC), sensitivity, and specificity were leveraged. ResultsOur two-stage framework achieved an AUC of 0.760 (95% CI 0.724-0.799) on the retrospective validation set and 0.806 (95% CI 0.750-0.859) on the prospective set, outperforming the commonly used BAT score, which had AUCs of 0.582 and 0.699, respectively. ConclusionOur framework can automatically and robustly identify ICH patients at high risk of HE using admission head NCCT scans, providing more accurate predictions than the BAT score.

Acute calcitriol treatment mitigates vitamin D deficiency-associated mortality after intracerebral haemorrhage

ObjectiveVitamin D deficiency (VDD) is emerging as a predictor of poor prognosis in various neurological conditions, where clinical outcomes are often worse in stroke patients with VDD. This study aimed to provide experimental evidence on whether and how pre-existing VDD would affect survival and neurofunctional outcomes in intracerebral haemorrhage (ICH), and to evaluate whether acute vitamin D (VD) supplementation would improve post-stroke outcomes. MethodsExperimental ICH models were induced in mice with and without VDD. Haematoma size was measured using T2*-weighted MRI and haemoglobin concentration. Post-ICH mortality, neurofunctional outcomes and the extent of blood–brain barrier (BBB) leakage were assessed to identify their correlations with VD status. Therapeutic benefits of acute VD administration were also evaluated. ResultsMice with VDD exhibited significantly higher acute mortality rates and more severe motor deficits than mice without VDD post-ICH. Marked haematoma expansion and increased Evans blue extravasation were observed in VDD mice, suggesting that VDD was associated outcomes with increased BBB disruption. Acute treatment with a loading dose of VD (calcitriol) significantly improved outcomes in VDD mice. ConclusionThis study provides novel insights into the pathophysiological mechanisms at play in ICH concomitant with VDD and a scientific rationale for acute treatment with VD.

Advancements in prognostic markers and predictive models for intracerebral hemorrhage: from serum biomarkers to artificial intelligence models.

Intracerebral hemorrhage (ICH) is a severe form of stroke with high morbidity and mortality, accounting for 10-15% of all strokes globally. Recent advancements in prognostic biomarkers and predictive models have shown promise in enhancing the prediction and management of ICH outcomes. Serum sestrin2, a stress-responsive protein, has been identified as a significant prognostic marker, correlating with severity indicators such as NIHSS scores and hematoma volume. Its levels predict early neurological deterioration and poor prognosis, offering predictive capabilities comparable to traditional measures. Furthermore, a deep learning-based AI model demonstrated superior performance in predicting early hematoma enlargement, with higher sensitivity and specificity than conventional methods. Additionally, long-term outcome prediction models using CT radiomics and machine learning have achieved high accuracy, particularly with the Random Forest algorithm. These advancements underscore the potential of integrating novel biomarkers and advanced computational techniques to improve prognostication and management of ICH, aiming to enhance patient care and survival rates. The incorporation of serum sestrin2, AI, and machine learning in predictive models represents a significant step forward in the clinical management of ICH, offering new avenues for research and clinical application.

Outcome 1 year after ICH: Data from the Tranexamic acid for IntraCerebral Haemorrhage 2 (TICH-2) trial.

The Tranexamic acid for IntraCerebral Haemorrhage-2 (TICH-2) trial reported no significant improvement in death and dependency at day 90 despite reductions in haematoma expansion, early neurological deterioration and early death. However, significant recovery after stroke, particularly intracerebral haemorrhage (ICH), may take more than 3 months. Here we report the participant outcomes at 1 year after stroke. TICH-2 was a prospective randomised controlled trial that tested the efficacy and safety of tranexamic acid in spontaneous ICH when given within 8 h of onset. Patients with ICH on anticoagulation were excluded. Centralised blinded telephone follow up was performed for patients from the United Kingdom at 1 year. The primary outcome was modified Rankin Scale at 1 year. Secondary outcomes included Barthel index, Telephone Interview Cognitive Status-modified, EuroQoL-5D and Zung Depression Scale. This was a prespecified secondary analysis of the TICH-2 trial. About 2325 patients were recruited into the trial (age 68.9 ± 13.8 years; 1301 male, 56%). About 1910 participants (82.2%) were eligible for day 365 follow up. 57 patients (3.0%) were lost to follow up. Tranexamic acid did not reduce the risk of poor functional outcome at 1 year (adjusted OR 0.91 95% CI 0.77-1.09; p = 0.302). However, Cox proportional hazard analysis revealed significant survival benefit in the tranexamic acid group (adjusted HR 0.83, 95% CI 0.70-0.99; p = 0.038). There was no difference in functional outcome at 1 year after ICH. Tranexamic acid may reduce mortality at 1 year without an increase in severely dependent survivors. But this should be interpreted with caution as this is a result of secondary analysis in a neutral trial.

Early decompressive surgery improves long-term prognosis in patients with intracerebral hemorrhage.

Multiple studies have shown that early decompressive surgery in patients with intracerebral hemorrhage can effectively limit hematoma expansion, reduce perihematomal edema, and improve prognosis. However, these studies are limited by small sample sizes and short follow-up times. To analyze the effect of early decompressive surgery on the long-term prognosis of patients with cerebral hemorrhage and identify the influencing factors for poor prognosis. A retrospective analysis of 78 patients with cerebral hemorrhage admitted between January 2020 and December 2022 was conducted. Patients were divided into early and delayed surgery groups for comparison of outcomes such as mortality rate, modified Rankin Scale score, and Short Form-36 scores. Additionally, factors influencing long-term prognosis were analyzed through logistic regression based on significant differences observed between groups. The early decompressive surgery group showed superior outcomes with lower mortality rates, modified Rankin Scale (mRS) scores, hematoma expansion rates, and perihematomal edema volumes compared to the delayed surgery group (P< 0.05). Additionally, age, preoperative Glasgow Coma Scale (GCS) score, preoperative hematoma volume, and a history of hypertension or diabetes were identified as independent prognostic factors for patients with cerebral hemorrhage, with odds ratios (ORs) greater than 1. Early decompressive surgery can improve the long-term prognosis and quality of life of patients with cerebral hemorrhage, reduce mortality rates, and decrease hematoma expansion and perihematomal edema. Older patients, those with higher preoperative hematoma volume and GCS score, and those with coexisting hypertension and diabetes should be given special attention to decrease the occurrence of adverse prognosis.

Systematic Evaluation of Hematoma Expansion Models in Spontaneous Intracerebral Hemorrhage: A Meta-Analysis and Meta-Regression Approach.

Accurate prediction of hematoma expansion (HE) in spontaneous intracerebral hemorrhage (sICH) is crucial for tailoring patient-specific treatments and improving outcomes. Recent advancements have yielded numerous HE risk factors and predictive models. This study aims to evaluate the characteristics and efficacy of existing HE prediction models, offering insights for performance enhancement. A comprehensive search was conducted in PubMed for observational studies and randomized controlled trials focusing on HE prediction, written in English. The prediction models were categorized based on their incorporated features and modeling methodology. Rigorous quality and bias assessments were performed. A meta-analysis of studies reporting C-statistics was executed to assess and compare the performance of current HE prediction models. Meta-regression was utilized to explore heterogeneity sources. From 358 initial records, 22 studies were deemed eligible, encompassing traditional models, hematoma imaging feature models, and models based on artificial intelligence or radiomics. Meta-analysis of 11 studies, involving 12,087 sICH patients, revealed an aggregated C-statistic of 0.74 (95% CI: 0.69-0.78) across seven HE prediction models. Eight characteristics related to development cohorts were identified as key factors contributing to performance variability among these models. The findings indicate that the current predictive capacity for HE risk remains suboptimal. Enhanced accuracy in HE prediction is vital for effectively targeting patient populations most likely to benefit from tailored treatment strategies.

Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network

Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH), associating with poor outcome. Multimodal neural networks incorporating convolutional neural network (CNN) analysis of images and neural network analysis of tabular data are known to show promising results in prediction and classification tasks. We aimed to develop a reliable multimodal neural network model that comprehensively analyzes CT images and clinical variables to predict hematoma expansion. We retrospectively enrolled ICH patients at four hospitals between 2017 and 2021, assigning patients from three hospitals to the training and validation dataset and patients from one hospital to the test dataset. Admission CT images and clinical variables were collected. CT findings were evaluated by experts. Three types of models were developed and trained: (1) a CNN model analyzing CT images, (2) a multimodal CNN model analyzing CT images and clinical variables, and (3) a non-CNN model analyzing CT findings and clinical variables with machine learning. The models were evaluated on the test dataset, focusing first on sensitivity and second on area under the receiver operating curve (AUC). Two hundred seventy-three patients (median age, 71 years [59–79]; 159 men) in the training and validation dataset and 106 patients (median age, 70 years [62–82]; 63 men) in the test dataset were included. Sensitivity and AUC of a CNN model were 1.000 (95% confidence interval [CI] 0.768–1.000) and 0.755 (95% CI 0.704–0.807); those of a multimodal CNN model were 1.000 (95% CI 0.768–1.000) and 0.799 (95% CI 0.749–0.849); and those of a non-CNN model were 0.857 (95% CI 0.572–0.982) and 0.733 (95% CI 0.625–0.840). We developed a multimodal neural network model incorporating CNN analysis of CT images and neural network analysis of clinical variables to predict hematoma expansion in ICH. The model was externally validated and showed the best performance of all the models.

CT radiomics combined with clinical and radiological factors predict hematoma expansion in hypertensive intracerebral hemorrhage.

This study aimed to establish a hematoma expansion (HE) prediction model for hypertensive intracerebral hemorrhage (HICH) patients by combining CT radiomics, clinical information, and conventional imaging signs. A retrospective continuous collection of HICH patients from three medical centers was divided into a training set (n = 555), a validation set (n = 239), and a test set (n = 77). Extract radiomics features from baseline CT plain scan images and combine them with clinical information and conventional imaging signs to construct radiomics models, clinical imaging sign models, and hybrid models, respectively. The models will be evaluated using the area under the curve (AUC), clinical decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI). In the training, validation, and testing sets, the radiomics model predicts an AUC of HE of 0.885, 0.827, and 0.894, respectively, while the clinical imaging sign model predicts an AUC of HE of 0.759, 0.725, and 0.765, respectively. Glasgow coma scale score at admission, first CT hematoma volume, irregular hematoma shape, and radiomics score were used to construct a hybrid model, with AUCs of 0.901, 0.838, and 0.917, respectively. The DCA shows that the hybrid model had the highest net profit rate. Compared with the radiomics model and the clinical imaging sign model, the hybrid model showed an increase in NRI and IDI. The hybrid model based on CT radiomics combined with clinical and radiological factors can effectively individualize the evaluation of the risk of HE in patients with HICH. CT radiomics combined with clinical information and conventional imaging signs can identify HICH patients with a high risk of HE and provide a basis for clinical-targeted treatment. HE is an important prognostic factor in patients with HICH. The hybrid model predicted HE with training, validation, and test AUCs of 0.901, 0.838, and 0.917, respectively. This model provides a tool for a personalized clinical assessment of early HE risk.

Comparative clinical outcomes of irrigation techniques in burr-hole craniostomy for chronic subdural hemorrhage: a multicenter cohort study.

Chronic Subdural Hemorrhage(cSDH) is often treated with surgical blood drainage, but concerns about recurrence and outcomes persist. Surgical techniques, including irrigation, vary. This study compares the outcomes of irrigation in cSDH surgery. From September 2020 to September 2022, 92 cSDH patients underwent surgery. Two different irrigation methods were used: extensive irrigation (IG) and non-irrigation (NIG). Method of irrigation was selected by each surgeon's preference. Parameters measured included volume of hematoma changes, midline shifting, complications, and basic demographics. Recurrence was defined as symptomatic or hematoma expansion more than double the volume before surgery. Factors predicting recurrence and irrigation method impact were analyzed. Eleven patients were excluded because of bilateral or related to other disease. We analyzed 81 patients (44 NIG, 37 IG). Recurrence occurred in 6 IG cases (16.2%) and 1 NIG case (2.3%). Irrigation method significantly affected recurrence (P = 0.043). Age, gender, medication, medical history, and preoperative measurements had no major impact on recurrence. NIG had unexpected cases of intracerebral hemorrhage. Extensive irrigation may increase recurrence in cSDH drainage. Non-irrigation drainage had fewer recurrences, but unexpected complications arose. Careful drainage in non-irrigated cases is crucial.

Leakage Sign Is a Reliable Predictor of Hematoma Expansion in Acute Epidural Hematoma

Hematoma expansion (H-Ex) in small-/medium-sized acute epidural hematoma (AEDH) cases upon emergency admission is critical. Predicting H-Ex can lead to early surgical interventions, improving outcomes, and eliminating the need to check for expansion via computed tomography (CT). This study aimed to identify the most reliable predictors of AEDH expansion. We retrospectively collected data from patients with pure AEDH not requiring surgical treatment upon emergency admission from 2012 to 2022. We assessed clinical and laboratory data, time from injury to the first CT, and time to follow-up CT. Factors predictive of H-Ex on the second follow-up CT, including the leakage sign (LS), were analyzed. A total of 23 patients with pure AEDH without surgery at admission were included, and LS was positive in 18. Thirteen patients showed H-Ex. The H-Ex group showed a significantly higher rate of positive LS and a lower mean platelet count than the group without H-Ex. LS's predictive value for AEDH expansion showed 100% sensitivity and 50% specificity. All patients with negative LS and normal platelet counts showed no H-Ex. Analyzing the time from injury to the first CT suggested that LS (+) within 120minutes strongly predicted H-Ex. Reconstructed three-dimensional images of the leakage point on the skull revealed multiple mottled bleeding points on the dural surface. LS can predict H-Ex in patients with pure AEDH for whom emergency surgery is unnecessary at admission. The time from injury and platelet counts must also be considered.