Benefits and Risks of CT Angiography Immediately after Emergency Arrival for Patients with Intracerebral Hematoma

Golden hour management in the patient with intraparenchymal cerebral hemorrhage: an Italian intersociety document

BACKGROUND

Spontaneous intracerebral hemorrhage (ICH) accounts for 9-27% of all strokes worldwide and is associated with high mortality and disability. The main causes include vascular malformations, small- and large-vessel angiopathies, and coagulation disorders. Mortality rates reach approximately 40% at 1 month and 54% at 1 year, largely influenced by early management decisions. Rapid intervention, particularly within the first hour, is crucial, especially for patients initially treated in peripheral hospitals. This consensus document, developed by SIAARTI with the endorsement of multiple medical societies, aims to standardize ICH management based on hospital capabilities, aligning with the "time is brain" principle and the 2022 AHA guidelines.

METHODS

A multidisciplinary panel of experts-including neurointensivists, neuroanesthesiologists, neurologists, neuroradiologists, emergency physicians, and neuroscience nurses-developed this consensus document. The process combined a systematic literature review with a modified Delphi method, prioritizing clinical questions using the UCLA-RAND appropriateness methodology. Literature searches were conducted on PubMed following PRISMA 2020 guidelines. Statements were formulated based on both evidence and expert consensus, and the final document underwent external peer review.

RESULTS

Computer tomography (CT) angiography, with over 90% sensitivity and specificity, is a key tool for identifying macrovascular abnormalities and detecting active bleeding, a critical factor in poor outcomes. Prognostic models, such as the ICH score, assist in clinical decision-making. Strict blood pressure control (target 130-140 mmHg) and early intubation in appropriate cases help mitigate hematoma expansion. Anticonvulsants are recommended only for patients with documented seizures. In cases of anticoagulant-related hemorrhage, prothrombin complex concentrates are effective for rapid reversal, though their long-term impact remains uncertain. Intensive care unit (ICU) admission is determined by ICH severity, with severe cases benefiting from specialized neurocritical care.

CONCLUSION

A multidisciplinary and inter-societal discussion provided key recommendations for the immediate management of ICH, based on the available literature. While only a few topics are supported by robust evidence, experts strongly recommend early brain angio CT, risk stratification using scoring systems, clear communication of patient data, and intubation for impaired consciousness. Blood pressure should be controlled with alpha- and beta-blockers, avoiding hypotension. Anticoagulant reversal should be appropriately managed, and eligible patients should be centralized in ICU and neurosurgical centers using dedicated scoring systems.

Deep-learning tool for early identification of non-traumatic intracranial hemorrhage etiology and application in clinical diagnostics based on computed tomography (CT) scans

Background

To develop an artificial intelligence system that can accurately identify acute non-traumatic intracranial hemorrhage (ICH) etiology (aneurysms, hypertensive hemorrhage, arteriovenous malformation (AVM), Moyamoya disease (MMD), cavernous malformation (CM), or other causes) based on non-contrast computed tomography (NCCT) scans and investigate whether clinicians can benefit from it in a diagnostic setting.

Methods

The deep learning model was developed with 1,868 eligible NCCT scans with non-traumatic ICH collected between January 2011 and April 2018. We tested the model on two independent datasets (TT200 and SD 98) collected after April 2018. The model's diagnostic performance was compared with clinicians' performance. We further designed a simulated study to compare the clinicians' performance with and without the deep learning system complements.

Results

The proposed deep learning system achieved area under the receiver operating curve of 0.986 (95% CI [0.967-1.000]) on aneurysms, 0.952 (0.917-0.987) on hypertensive hemorrhage, 0.950 (0.860-1.000) on arteriovenous malformation (AVM), 0.749 (0.586-0.912) on Moyamoya disease (MMD), 0.837 (0.704-0.969) on cavernous malformation (CM), and 0.839 (0.722-0.959) on other causes in TT200 dataset. Given a 90% specificity level, the sensitivities of our model were 97.1% and 90.9% for aneurysm and AVM diagnosis, respectively. On the test dataset SD98, the model achieved AUCs on aneurysms and hypertensive hemorrhage of 0.945 (95% CI [0.882-1.000]) and 0.883 (95% CI [0.818-0.948]), respectively. The clinicians achieve significant improvements in the sensitivity, specificity, and accuracy of diagnoses of certain hemorrhage etiologies with proposed system complements.

Conclusions

The proposed deep learning tool can be an accuracy tool for early identification of hemorrhage etiologies based on NCCT scans. It may also provide more information for clinicians for triage and further imaging examination selection.

Dual-energy CT angiography in detecting underlying causes of intracerebral hemorrhage: an observational cohort study

BACKGROUND

CT angiography (CTA) is often used to detect underlying causes of acute intracerebral hemorrhage (ICH). Dual-energy CT (DECT) is able to distinguish materials with similar attenuation but different compositions, such as hemorrhage and contrast. We aimed to evaluate the diagnostic yield of DECT angiography (DECTA), compared to conventional CTA in detecting underlying ICH causes.

METHODS

All non-traumatic ICH patients who underwent DECTA (both arterial as well as delayed venous phase) at our center between January 2014 and February 2020 were analyzed. Conventional CTA acquisitions were reconstructed ('merged') from DECTA data. Structural ICH causes were assessed on both reconstructed conventional CTA and DECTA. The final diagnosis was based on all available diagnostic and clinical findings during one-year follow up.

RESULTS

Of 206 included ICH patients, 30 (14.6%) had an underlying cause as final diagnosis. Conventional CTA showed a cause in 24 patients (11.7%), DECTA in 32 (15.5%). Both false positive and false negative findings occurred more frequently on conventional CTA. DECTA detected neoplastic ICH in all seven patients with a definite neoplastic ICH diagnosis, whereas conventional CTA only detected four of these cases. Both developmental venous anomalies (DVA) and cerebral venous sinus thrombosis (CVST) were more frequently seen on DECTA. Arteriovenous malformations and aneurysms were detected equally on both imaging modalities.

CONCLUSIONS

Performing DECTA at clinical presentation of ICH may be of additional diagnostic value in the early detection of underlying causes, especially neoplasms, CVST and DVAs.

Worse outcome in hemorrhagic moyamoya disease of anterior circulation type compared to posterior circulation type

OBJECTIVE

Despite the known poor outcomes of patients with hemorrhagic moyamoya disease (MMD), previous studies have not explored the entire population of hemorrhagic MMD, often excluding severely impaired patients due to the lack of imaging studies demonstrating cerebral angioarchitecture. Herein, we investigate the prevalence, location of intracerebral hematoma (ICH), and outcomes in patients with hemorrhagic MMD, including severely impaired individuals who underwent emergency computed tomography (CT) angiography (CTA) to identify secondary ICHs.

METHODS

We conducted a retrospective analysis of 2092 patients admitted to our hospital within 3 days of ICH onset from January 2010 to December 2022. CTA was performed for all patients with ICH, principally.

RESULTS

CTA was performed in 1645 (78.6%) patients. We diagnosed MMD in 40 patients (2.5%), making it the third leading cause of secondary ICH. Twenty patients had anterior-type hematomas, while the remaining twenty had posterior-type hematomas. At 90 days after onset, 19 patients (95%) with anterior-type hematomas had unfavorable outcomes (modified Rankin scale [mRS] scores of 3-6), compared to 11 patients (55%) with posterior-type hematomas. The number of unfavorable outcomes was significantly higher in the anterior-type group compared to the posterior-type group (p = 0.008).

CONCLUSION

This comprehensive study highlights that the majority of MMD cases with ICH result in unfavorable outcomes, especially when the ICH is located in the anterior circulation. While recent studies have focused on preventing bleeding from choroidal anastomosis in the posterior circulation, overall outcome improvement of hemorrhagic MMD necessitates a greater emphasis on addressing anterior circulation ICHs.

Acute kidney injury after intracerebral hemorrhage: a mini review

Intracerebral hemorrhage (ICH) stands as a prevalent and pivotal clinical condition. The potential cooccurrence of acute kidney injury (AKI) among afflicted individuals can profoundly influence their prognosis. In recent times, there has been a growing focus among clinical practitioners on researching the relationship between ICH and AKI. AKI occurring concurrently with ICH predominantly arises from both hemodynamic and non-hemodynamic mechanisms. The latter encompasses neurohumoral regulation, inflammatory response, oxidative stress, and iatrogenic factors such as contrast agents, dehydrating agents, antibiotics, and diuretics. Moreover, advanced age, hypertension, elevated baseline creatinine levels, chronic kidney disease, and larger hematomas predispose patients to AKI. Additionally, the current utilization of biomarkers and the development of predictive models appear promising in identifying patients at risk of AKI after ICH. This article aims to underscore the potential of the aforementioned insights to inspire novel approaches to early clinical intervention.

Long-Term Mortality Related to Acute Kidney Injury Following Intracerebral Hemorrhage: A 10-Year (2010-2019) Retrospective Study

OBJECTIVES

Acute kidney injury (AKI) following intracerebral hemorrhage (ICH) is an intractable medical complication and an independent predictor of short-term mortality. However, the correlation between AKI and long-term mortality has not been fully investigated. The aim of the present study was to determine the relationship between AKI following ICH and long-term mortality in a 10-year (2010-2019) retrospective cohort.

MATERIALS AND METHODS

A total of 1449 ICH patients were screened and enrolled at the Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University) from January 2010 to December 2016. The endpoint for follow-up was May 31, 2019. The estimated all-cause mortality was determined using Cox proportional hazard regression models.

RESULTS

Among 1449 ICH patients, 136 (9.4%) suffered from AKI, and the duration of follow-up was a median of 5.1 years (IQR 3.2-7.2). The results indicated that the risk factors for AKI without preexisting chronic kidney disease (CKD) in the multivariable analysis were age (p = 0.002), nephrotoxic antibiotics (p = 0.000), diabetes mellitus (p = 0.005), sepsis (p = 0.000), antiplatelet therapy (p = 0.002), infratentorial hemorrhage (p = 0.000) and ICH volume (p = 0.003). Age (p = 0.008), ACEIs/ARBs (p = 0.010), nephrotoxic antibiotics (p = 0.014), coronary artery disease (p = 0.009), diabetes mellitus (p = 0.014), hypertension (p = 0.000) and anticoagulant therapy (p = 0.000) were independent predictors of AKI with preexisting CKD. Meanwhile, the data demonstrated that the estimated all-cause mortality was significantly higher in ICH patients with AKI without preexisting CKD (HR 4.208, 95% CI 2.946-6.011; p = 0.000) and in ICH patients with AKI with preexisting CKD (HR 2.470, 95% CI 1.747-3.492; p = 0.000) than in those without AKI.

CONCLUSIONS

AKI is a long-term independent predictor of mortality in ICH patients. Thus, renal function needs to be routinely determined in ICH patients during clinical practice.

Gelatin–thrombin Hemostatic Matrix-related Cyst Formation after Cerebral Hematoma Evacuation: A Report of Two Cases

The gelatin–thrombin matrix, Floseal, is an excellent novel hemostatic agent that is used in various surgical fields. Thrombin is a serine protease, and the conversion of prothrombin to thrombin is an essential step in the coagulation cascade. However, thrombin can induce blood–brain barrier (BBB) disruption and vasogenic brain edema. This report describes two cases of gelatin–thrombin matrix-related cyst formation after cerebral hematoma evacuation. An 82-year-old man with a gelatin–thrombin matrix-related cyst was treated by cyst drainage and fenestration to the lateral ventricle. Histological evaluation of the cyst wall showed a gelatin–thrombin matrix reserve, marked infiltration of inflammatory cells, and foam cell accumulation. In addition, an 85-year-old woman with a gelatin–thrombin matrix-related cyst was treated with steroids and responded well. In both cases, the post-treatment course was uneventful. Cyst shrinkage and no recurrence were observed. The gelatin–thrombin matrix can cause cyst formation with brain edema. This is the first report demonstrating the cyst wall pathology and the steroid responsivity on cyst shrinkage. The mechanism of cyst formation is thought to be thrombin-induced BBB disruption. Excess gelatin–thrombin matrix should be carefully removed from the surgical beds, particularly those having a blinded space from the neurosurgical microscope.