UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: The Black-&-White sign is a robust predictor of hematoma expansion occurrence and severity, yet further validation is needed to confirm these compelling findings.

OBJECTIVE: Our purpose was to synthesize evidence in the literature to determine the diagnostic accuracy of Cone-Beam CT (CBCT) for detection of intracranial hemorrhage (ICH) and hemorrhage types, including intraparenchymal (IPH), subarachnoid (SAH), and intraventricular (IVH).
METHODS: We performed a meta-analysis following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Our protocol was registered with International Prospective Register of Systematic Reviews (PROSPERO-CRD42021261915). Systematic searches were last performed on April 30, 2024 in EMBASE, PubMed, Web-of-Science, Scopus, and CINAHL databases. Inclusion criteria were: (1) Studies reporting diagnostic metrics of CBCT for ICH; (2) Studies using a reference standard to determine ICH. Exclusion criteria were: (1) Case reports, abstracts, reviews; (2) Studies without patient-level data. Pooled-estimates and 95% confidence intervals (CI) were calculated for diagnostic Odds ratio (DOR), sensitivity, and specificity using random-effects and common-effects models. Mixed Methods Appraisal Tool was used to evaluate risk-of-bias.
RESULTS: Seven studies were included in the meta-analysis yielding 466 patients. Mean/median age ranged from 54-75 years. Females represented 51.4% (222/432) in reported studies. Multidetector-CT was the reference standard in all studies. DOR, pooled-sensitivity, and pooled-specificity for ICH were 5.28 (95%CI:4.11-6.46), 0.88 (95%CI:0.79-0.97), and 0.99 (95%CI:0.98-1.0). Pooled-sensitivity for IPH, SAH, and IVH were 0.98 (95%CI:0.95-1.0), 0.82 (95%CI:0.57-1.0), and 0.78 (95%CI:0.55-1.0). Pooled-specificity for IPH, SAH, and IVH were 0.99 (95%CI:0.98-1.0), 0.99 (95%CI:0.97-1.0), and 1.0 (95%CI:0.98-1.0).
CONCLUSIONS: CBCT had moderate DOR and high pooled-specificity for ICH and hemorrhage types. However, pooled-sensitivity varied by hemorrhage type, with the highest sensitivity for IPH, followed by SAH and IVH.

UNASSIGNED: Intracranial hemorrhages present across a spectrum of clinical phenotypes, with many patients transferred across hospitals to access higher levels of neurocritical care. We sought to characterize patient dispositions following intracranial hemorrhage and examine disparities associated with interhospital transfers.
UNASSIGNED: Using the Healthcare Cost and Utilization Project database, we mapped and identified factors influencing the likelihood of patient transfers and receipt of specialist interventional procedures following intracranial hemorrhage.
UNASSIGNED: Of 11,660 patients with intracranial hemorrhage, 59.4% had non-traumatic and 87.5% single compartment bleeds. After presentation, about a quarter of patients were transferred to another facility either directly from the ED (23.0%) or after inpatient admission (1.8%). On unadjusted analysis, patients who were white, in the upper income quartiles, with private insurance, or resided in suburban areas were more frequently transferred. After adjusting for patient-and hospital-level variables, younger and non-white patients had higher odds of transfer. Hospital capabilities, residence location, insurance status, and prior therapeutic relationship remained as transfer predictors. Transferred patients had a similar hospital length of stay compared to admitted patients, with 43.1% having no recorded surgical or specialist interventional procedure after transfer.
UNASSIGNED: Our analysis reveals opportunities for improvement in risk stratification guiding transfers, as well as structural challenges likely impacting transfer decisions.

OBJECTIVE: To investigate the association between intracranial hemorrhage (ICH) and preoperative levels of neutrophils and low-density lipoprotein-cholesterol (LDL-C) in acute ischemic stroke (AIS) patients following endovascular thrombectomy (EVT), and to assess the predictive value of preoperative levels of neutrophils and LDL-C.
METHODS: A retrospective analysis was performed on the clinical records of patients diagnosed with AIS who underwent EVT at Nanchong Central Hospital between 2019 and 2023. Multivariate regression analysis was employed to examine the association of preoperative levels of neutrophils and LDL-C with the occurrence of ICH. Furthermore, a receiver operating characteristic curve was constructed to assess the predictive efficacy of these parameters.
RESULTS: A total of 300 patients with a mean age of 68.0 years (standard deviation, 11.1 years) and a median baseline National Institutes of Health Stroke scale (NIHSS) score of 15.5 (interquartile range, 12.0-19.75) were identified in this cohort. Of these, 28 (9.3%) patients experienced ICH. Multivariate regression analysis revealed that elevated preoperative neutrophil (odds ratio [OR] 1.23, 95% confidence interval [CI] 1.10-1.38, P < 0.001) and LDL-C (OR 2.64, 95% CI 1.52-4.58, P < 0.001) levels were independently associated with ICH. The combined indicator demonstrated a higher area under the curve (AUC 0.759, 95% CI 0.654-0.865) compared with preoperative neutrophil (AUC 0.647, 95% CI 0.532-0.763) and LDL-C (AUC 0.711, 95% CI 0.607-0.814) levels individually.The specificity and sensitivity of the combined indicator were 67.9% and 83.1%, respectively.
CONCLUSIONS: Preoperative levels of neutrophils and LDL-C may serve as predictive indicators for ICH in patients with AIS who have undergone EVT; moreover, the combination of preoperative neutrophil and LDL-C levels demonstrates enhanced predictive efficacy.

Hypereosinophilia is a rare condition, defined as a persistent elevation of absolute eosinophil count greater than 1.5x109/L and/or tissue eosinophilia. This condition can be caused by numerous different etiologies, both hematological (clonal) and non-hematological (reactive). Reactive hypereosinophilia encompasses all disorders, including infections. Patients with hypereosinophilia may experience a spectrum of clinical consequences due to multiple organ damage, including neurologic and thrombotic complications, associated with organ dysfunction and potentially life-threatening sequelae. Cerebral venous thrombosis (CVT) is the term used to describe thrombotic occlusion of veins and/or venous sinuses in the brain. This condition can occur at all ages and CVT related to hypereosinophilia is a rare disease. Diagnosis of the disease must be done quickly because thrombosis causes blockage of cerebral drainage, venous congestion, disruption of cerebrospinal fluid reabsorption, ischemic neuronal damage, cerebral edema, and hemorrhage, leading to severe neurological complications. Management of intracranial hemorrhage from CVT due to hypereosinophilia is a challenging task for clinicians, based on anticoagulation therapy, systemic corticosteroid, management of elevated intracranial pressure, and potentially progressive hemorrhage due to anticoagulant. The outcome of the patient generally relies on early detection, prompt, and appropriate treatment. In this case report, we discuss a rare case of CVT with hypereosinophilia and positive dengue serology in a child, in the context of intracranial hemorrhage, enlightening the importance of considering a personalized strategy in the management of this complex scenario.

OBJECTIVE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI).
METHODS: This retrospective study was conducted using a prototype algorithm that evaluated 502 NCCT head scans with ICH in context of TBI. Four board-certified radiologists evaluated in consensus the CT scans to establish the standard of reference for hemorrhage presence and type of ICH. Consequently, all CT scans were independently analyzed by the algorithm and a board-certified radiologist to assess the presence and type of ICH. Additionally, the time to diagnosis was measured for both methods.
RESULTS: A total of 405/502 patients presented ICH classified in the following types: intraparenchymal (n = 172); intraventricular (n = 26); subarachnoid (n = 163); subdural (n = 178); and epidural (n = 15). The algorithm showed high diagnostic accuracy (91.24%) for the assessment of ICH with a sensitivity of 90.37% and specificity of 94.85%. To distinguish the different ICH types, the algorithm had a sensitivity of 93.47% and a specificity of 99.79%, with an accuracy of 98.54%. To detect midline shift, the algorithm had a sensitivity of 100%. In terms of processing time, the algorithm was significantly faster compared to the radiologist\'s time to first diagnosis (15.37 ± 1.85 vs 277 ± 14 s, p < 0.001).
CONCLUSIONS: A novel deep learning algorithm can provide high diagnostic accuracy for the identification and classification of ICH from unenhanced CT scans, combined with short processing times. This has the potential to assist and improve radiologists\' ICH assessment in NCCT scans, especially in emergency scenarios, when time efficiency is needed.

UNASSIGNED: Factor XIII (FXIII) deficiency, a rare coagulation disorder resulting from F13A1 gene mutations, can lead to severe bleeding episodes, especially in infants. The authors\' case study featuring a 16-year-old female with a history of this deficiency revealed intracranial hemorrhage necessitating immediate medical intervention. The text emphasizes the importance of understanding the epidemiology and genetics of FXIII deficiency, as well as the challenges in diagnosis and management.
UNASSIGNED: A 16-year-old female with FXIII deficiency presented to the Emergency Department (ER) after a fall, experiencing weakness on her right side, headache, seizures, and altered consciousness. Neurological examination showed weakness and increased tone on the right side of the body. Computed tomography (CT) scan revealed an intracranial subdural hemorrhage overlying the superior parietal lobe. Treatment included IV fluids, sodium valproate, antibiotics, fresh frozen plasma, and mannitol. Serial neurological assessments were normal, and the patient remained stable. MRI later confirmed hemorrhage. Upon discharge, she was prescribed medication and physiotherapy, leading to significant improvement at the 6-month follow-up.
UNASSIGNED: The prevalence of FXIII deficiency, a rare disorder, is higher in populations with consanguineous marriages, particularly in regions like Pakistan, India, Tunisia, Finland, and Iran due to specific genetic mutations. Diagnosis involves thorough evaluation and specific lab tests, with varied clinical symptoms including prolonged bleeding, especially in newborns. FXIII deficiency can also develop in association with conditions like hepatic failure and leukemia, complicating diagnosis. Treatment options include blood products and recombinant FXIII, with management of intracranial bleeding requiring a multidisciplinary approach.
UNASSIGNED: The case underscores the critical need for early identification and specialized care for individuals with FXIII deficiency to mitigate life-threatening complications like intracranial hemorrhage, promoting tailored treatment approaches and improved patient outcomes.

BACKGROUND: The routine transfer of mild to moderate traumatic brain injuries (TBIs) to trauma centers with neurosurgical capabilities has recently been re-evaluated. The Brain Injury Guidelines (BIG) were developed to categorize TBI patients into three categories (BIG-1, BIG-2, and BIG-3), each representing a progressively increasing risk of clinical deterioration. This classification system has been previously validated at both level I and level III trauma centers. The authors hypothesized the population of their rural level II trauma center would further validate the BIG criteria.
METHODS: Using the institutional trauma registry, a retrospective analysis was performed on all patients with isolated TBIs who presented to our rural level II trauma center from 2018 to 2022. Patients were categorized according to the previously validated BIG criteria. All head computed tomography (CT) imaging studies were reviewed by one neurosurgeon. Outcomes and adverse events were compared to previously published data.
RESULTS: Four hundred fifty four patients were captured with our inquiry; 138 matched BIG-1 criteria, 51 matched BIG-2 criteria, and 263 matched BIG-3 criteria. Two patients in BIG-1 (6%) and two patients in BIG-2 (12.5%) showed progression of their bleed on CT. No patients in BIG-1 or BIG-2 groups, including those showing progression on repeat CT, required a neurosurgical intervention.
CONCLUSIONS: Our results support the suppositions of the BIG authors who suggest patients categorized as BIG-1 or BIG-2 do not require repeat head CT scans, neurosurgery consultation, or transfer to a tertiary center.

BACKGROUND: We previously conducted a prospective, observational post-marketing surveillance study to assess the safety and effectiveness of four-factor prothrombin complex concentrate (4F-PCC) for rapid vitamin K antagonist (VKA) reversal in Japanese patients.
METHODS: This subgroup analysis compared the safety, especially thromboembolic events (TEEs), and effectiveness of 4F-PCC by stratifying patients into two subgroups according to baseline international normalized ratio (INR) levels with < 2.0 and ≥ 2.0.
RESULTS: Of 1271 eligible patients, 215 (17.9%) had INR < 2.0 and 987 (82.1%) had INR ≥ 2.0. Overall baseline characteristics were similar between groups; age (74.0 years vs 74.0 years), body mass index (22.1 kg/m2 vs 21.9 kg/m2), ratio of inpatients (90.2% vs 88.7%), manifested atrial fibrillation (46.0% vs 48.8%). Median INRs at baseline were 1.72 (minimum 0.92, maximum 1.99) in the INR < 2.0 group and 2.95 (2.00, 27.11) in the INR ≥ 2.0 group. The most common reason for 4F-PCC administration was intracranial hemorrhage (67.0% vs 59.5%), and lesser gastrointestinal bleeding (0.9% vs 7.5%). After 4F-PCC administration (average doses 24.5 IU/kg [INR < 2.0 group] and 29.2 IU/kg [INR ≥ 2.0 group]), INRs were significantly reduced to 1.21 (- 28%) and 1.31 (- 68%), respectively, and resulted in hemostasis in a similarly rapid manner. The incidences of adverse drug reactions were 3.7% in each group. TEEs occurred in 4 (1.9%) patients in the INR < 2.0 group and 11 (1.1%) patients in the INR ≥ 2.0 group and were predominantly composed of stroke, while similar rates (67.0% vs 62.9%) of bleeding events post-anticoagulant resumption were observed between groups.
CONCLUSIONS: This study supports the favorable tolerability and efficacy of 4F-PCC regardless of baseline INR (< 2.0 or ≥ 2.0), with a prompt reduction of INR and substantial hemostatic effectiveness in the real-world setting for patients requiring urgent VKA reversal, although no indicated 4F-PCC dose for VKA reversal exists for INR < 2.0 to date.

OBJECTIVE: This study aimed to assess the predictive performance of radiomics derived from computed tomography (CT) images of thrombus regions in predicting the risk of intracranial hemorrhage (ICH) following endovascular thrombectomy (EVT).
METHODS: This retrospective multicenter study included 336 patients who underwent admission CT and EVT for acute anterior-circulation large vessel occlusion between December 2018 and December 2023. Follow-up imaging was performed 24 h post-procedure to evaluate the occurrence of ICH. 230 patients from centers A and B were randomly allocated into training and test groups in a 7:3 ratio, while the remaining 106 patients from center C comprised the validation cohort. Radiologists manually segmenting the thrombus on CT images, and the perithrombus region was defined by expanding the initial region of interest (ROI). A total of 428 radiomics features were extracted from both intrathrombus and perithrombus regions on CT images. The Mann-Whitney U test was used for feature selection, and least absolute shrinkage and selection operator (LASSO) regression was employed for model development, followed by validation using a 5-fold cross-validation approach. Model performance was assessed using the area under the curve (AUC) of the receiver operating characteristic (ROC).
RESULTS: Among the eligible patients, 128 (38.1 %) experienced ICH after EVT. The combined model exhibited superior performance in the training cohort (AUC: 0.913, 95 % CI: 0.861-0.965), test cohort (AUC: 0.868, 95 % CI: 0.775-0.962), and validation cohort (AUC: 0.850, 95 % CI: 0.768-0.912). Notably, in the validation group, both the perithrombus and combined models demonstrated higher predictive accuracy compared to the intrathrombus model (0.837 vs. 0.684, p = 0.02; AUC: 0.850 vs. 0.684, p = 0.01).
CONCLUSIONS: Radiomics features derived from the perithrombus region significantly enhance the prediction of ICH after EVT, providing valuable insights for optimizing post-procedural clinical decisions.
CONCLUSIONS: This study highlights the importance of radiomics extracted from intrathrombus and perithrombus region in predicting intracranial hemorrhagefollowing endovascular thrombectomy, which can aid in improving patient outcomes.