Ct scan of intracerebral hemorrhage. ICH is the most prevalent kind of hemorrhagic stroke that .

Ct scan of intracerebral hemorrhage Patients were In acute stroke, the differential diagnosis of hemorrhage detected on computed tomography (CT) scan ranges from hemorrhagic infarct (HI), primary intracerebral hemorrhage (ICH) to hemorrhage from venous infarction. CT. A number of complications may be present, such as extension of the CT scan with CT angiography is often the initial investigation. Intracerebral hemorrhage (ICH) Results—According to CT criteria, 60 patients had an intracerebral hemorrhage and 67 patients had an ischemic stroke, and in 24 patients CT findings were inconclusive, showing neither bleeding nor an ischemic The CT blend sign has previously demonstrated a good ca-pacity to predict early hematoma expansion in acute intrace-rebral hemorrhage with a sensitivity and specificity of 39. Spontaneous intracerebral We review CT and MRI evaluation of intracranial hemorrhage with the goal of providing a broad overview of the diverse causes and varied appearances of intracranial hemorrhage. D. 1 CT scan of brain showing intracerebral hemorrhage with “CT blend sign” * Ripenmeet Salhotra rippan. Nonetheless, acute stroke unit care improves outcome for patients presenting with stroke-like symptoms, rapid neuroimaging using CT or MRI is recommended to confirm the diagnosis of spontaneous intracerebral hemorrhage (ICH) the detection of intracerebral bleeding itself by imaging methods is easy; the diagnostic evaluation is focused on determining the underlying etiology Intracerebral Hemorrhage Trial by CT Scan R. In this model, the HarDNet block is applied to the U-Net architecture, and the encoder and decoder are connected using a transformer block. In this study, we aimed to evaluate the initial computed tomography (CT) scan findings, clinical manifestations and possible risk factors of patients with intracerebral hemorrhage. Methods: The clinical data and plain computed tomography (CT) scan signs of 341 patients with hypertensive intracerebral He had a history of hypertension. These findings are low probable of underlying vascular lesions and no vascular etiology was found on brain We develop a deep learning approach for automated intracerebral hemorrhage (ICH) segmentation from 3D computed tomography (CT) scans. An increase in volume of hemorrhage from 8 to 35 cc was recorded between the first CT scans (upper), obtained 50 Axial CT scan showing hemorrhage in the posterior fossa [22] Intracerebral bleeds are the second most common cause of stroke, accounting for 10% of hospital admissions for stroke. NeuroImage: Clinical, 38 The patient is an 81-year-old woman with an acute hyper- tensive hemorrhage. This study demonstrated that 38% of patients had a >33% increase Intracerebral hemorrhage (ICH) accounts for 10% to 20% of strokes worldwide and is associated with high morbidity and mortality rates. The CT scan is a compilation of a lot of 3D cross-sectional X-ray images taken from various angles by computers. Identifying the different types of intracranial haemorrhage is a common exam question. Intracerebral hemorrhage must be distinguished from . In its early clinical stage, 20–30% of patients experience hematoma expansion, leading to Follow-up imaging in intracerebral hemorrhage is not standardized and radiologists rely on different imaging modalities to determine hematoma growth. Neuroimaging is indispensable for rapid diagnosis of ICH and identification of the underlying etiology, thus facilitating triage and appropriate treatment of patient Neuroimaging of Intracerebral Hemorrhage Neurosurgery. In this model, the HarDNet block is applied to the U-Net architecture, and the encoder and decoder are connected using a A robust fully automated system for hemorrhage detection from Computed Tomography (CT) scan images based on White Matter Fuzzy c-Means (WMFCM) clustering and wavelet-based thresholding and a new segmentation technique based on wavelet thresholding for detection and localization of hemorrhagic stroke is presented. One hundred ninety-two seconds later, multiphase CT angiography demonstrated a new expanding hemorrhage in the left basal ganglia (Figure, B–D), Pediatric intracerebral hemorrhage (ICH) main etiologies. salhotra@gmail. • Incidence of intracerebral hemorrhage increasesin individuals older than 55years and doubles with eachdecadeuntil age80. Ischemic stroke. 73 was obtained with a conventional binary logistic regression model incorporating baseline hematoma volume, time-to-scan, and coefficient of variation of ICH attenuation [33]. Axial non-contrast CT scan shows a large intraparenchymal hematoma in the left hemisphere. E. Maldjian N. Methods The population was defined from the Swedish Stroke Register (RS) and included all patients Quantitative CT densitometry values of ICH density distribution were adopted for predicting intracerebral hemorrhage growth, and AUC of 0. The delineation of hemorrhage areas and the estimation of hemorrhage volume play a crucial role for subsequent treatment planning. , 2018, Kidwell and Wintermark, 2008). , presence of hyperattenuation suggesting Radiographic features CT. Purpose Intracranial hemorrhage (ICH) is a serious health problem requiring prompt and intensive medical treatment. Even eighty percent of ICH survivors cannot live In adults, secondary intraventricular hemorrhage is usually the result of an intracerebral hemorrhage (typically basal ganglia hypertensive hemorrhage) or subarachnoid hemorrhage with ventricular reflux. About 80% of strokes are Intracerebral haemorrhage (ICH) accounts for half of the disability-adjusted life years lost due to stroke worldwide. The method is based on White Matter Fuzzy c-Means (WMFCM) clustering approach to extract In this meta-analysis, we showed that non-contrast-enhanced CT scan-based radiomics features serve as a potential indicator in predicting prognostic outcomes in patients with intracerebral hemorrhage. Keywords: Intracranial hemorrhage, Intracerebral haemorrhage (ICH) accounts for half of the disability-adjusted life years lost due to stroke worldwide. In patients with spontaneous intraventricular hemorrhage and no detectable Specific imaging markers on computed tomography (CT) can aid in predicting ICH prognosis including risk of hematoma expansion and/or rebleeding. Fortunately, acute blood is markedly hyperdense compared to brain parenchyma, and as such usually poses little difficulty in diagnosis (provided the amount of blood is large enough, and the scan is performed early). hemorrhage size is considered to be the most reliable independent predictor Intracerebral haemorrhage (ICH) Intracranial haemorrhages are diagnosed via a CT head scan. Each rater, blinded to growth data, independently applied novel 5-point categorical scales of density and shape to randomly Noncontrast CT scan is currently the imaging modality most widely used to exclude the presence of hemorrhage in the evaluation of candidates for thrombolysis. As a result, the network Open surgery for hematoma evacuation of intracerebral hemorrhage (ICH) that reached the cortical surface. We compared a bedside method of measuring CT ICH volume with measurements made by computer-assisted planimetric image analysis. Patients with mild blunt head trauma and preinjury anticoagulant or antiplatelet use are at increased risk of intracranial hemorrhage and should undergo urgent and liberal CT scanning. As a result, the network Background and Purpose Hemorrhage volume is a powerful predictor of 30-day mortality after spontaneous intracerebral hemorrhage (ICH). 2 – 4 It is also associated with a higher mortality rate compared with either ischemic stroke (IS) or subarachnoid Open surgery for hematoma evacuation of intracerebral hemorrhage (ICH) that reached the cortical surface. Intraventricular hemorrhage is a distinct entity in pediatrics and is considered separately; see intraventricular hemorrhage of the newborn. [23] High blood pressure raises the risks of spontaneous intracerebral hemorrhage by two to six times. The aim of this study was to validate novel fully automated software for quantification of ICH volume on non-contrast computed tomography (CT). Objectives: We conducted a systematic review and meta-analysis of current publications on the potential role of non-contrast-enhanced computed tomography (NCCT) radiomics as a prognostic indicator in patients with intracerebral hemorrhage (ICH). Intracerebral Hemorrhage Classification Using Head CT Scan for Stroke Analysis R. shows intracerebral hemorrhage and associated complications 2. The use of CT imaging technology served 3 functions: to provide accurate measurements of the change in hematoma volume, intraventricular volume (IVH), and edema volume; to evaluate Intracerebral hemorrhage is one of the types of stroke in patients with risk factors. In clinical practice, physicians need to inspect computed tomography (CT) scans carefully and delineate the Intracerebral hemorrhage affects an estimated 37,000 individuals in the United States annually, 2 and only 38% of these individuals survive the first year. Zimmerman J. Fortunately, acute blood is markedly hyperdense CT is usually the modality first obtained and demonstrates a hyperdense collection of blood, often with surrounding hypodense edema. 5 mL or volume >33% from the initial CT scan Stroke affects approximately fifteen million individuals annually, making it one of the leading causes of disease-related mortality and morbidity worldwide [1]. Methods— We prospectively studied 39 consecutive patients with spontaneous Main Outcome Measures Acute intracerebral hemorrhage and any intracerebral hemorrhage diagnosed on gradient recalled echo (GRE) MRI and CT scans by a consensus of 4 blinded readers. You may also be interested in our comprehensive guide to CT head interpretation, which covers these in more detail. View Media Gallery. Want Graph demonstrating the evolution of the density on CT of intracranial hemorrhage such as a subdural hematoma. He was enrolled in the Early Minimally Invasive Removal of non-contrast CT. We hypothesized that irregular hematoma shape and density heterogeneity, reflecting active, multifocal bleeding or a variable bleeding time course, would predict ICH growth. The converse is also true, and the absence of a spot sign suggests that the hematoma is unlikely to significantly increase in size 10. The current study used histogram analysis based on CT images to differentiate between CCM and AICH and test its diagnosis Objectives 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. Intracerebral hemorrhage (ICH), the most devastating form of hemorrhagic stroke, has a higher rate of morbidity and mortality than ischemic stroke [2]. CT scan of right frontal intracerebral hemorrhage complicating thrombolysis of an ischemic stroke. However, the accuracy of MRI relative to CT for the detection of hyperacute Therefore, to overcome these drawbacks, this study proposes TransHarDNet, an image segmentation model for the diagnosis of intracerebral hemorrhage in CT scan images of the brain. (A) Left cerebellar mid peduncular hemorrhage, demonstrated on computed tomography (CT) and CT-angiography; digital subtraction angiography (DSA) (right and inset) shows malformative vessels with PICA and AICA feeders, a nidus and deep venous outflow corresponding to an arteriovenous malformation. We hypothesized that the presence of tiny, enhancing foci (“spot sign”) within acute hematomas is associated with hematoma expansion. The differentiation between the first two conditions can be difficult, and there are currently no radiological criteria to assist in this regard. 2 – 4 It is also associated with a higher mortality rate compared with either ischemic stroke (IS) or subarachnoid Intracerebral hemorrhage (ICH) is described as spontaneous extravasation of blood into the brain parenchyma. Subarachnoid hemorrhage. This retrospective study included 359 patients with ICH MRIs are less accessible, more expensive, and sensitive to early diagnosis of brain hemorrhage than CT scans, which are used to examine the internal architecture of the human body, including the brain. 1 ICH confers a poorer prognosis compared with ischemic stroke with morbidity and mortality approaching 50% at 30 days. the volume of an intracerebral hemorrhage can be measured using ABC/2 formula or 3D volumetric software. This manual approach is a significant limitation, as timely intervention is Supplemental material, sj-docx-1-eso-10. Axial non contrast CT scan shows right basal ganglia hemorrhage with surrounding edema. 3% Fig. One hundred ninety-two seconds later, multiphase CT angiography demonstrated a new expanding hemorrhage in the left basal A noncontrast computed tomography (CT) scan of the head reveals right thalamic hemorrhage with rupture into the lateral ventricles, third ventricle, and aqueduct of Sylvius. This study demonstrated that 38% of patients had a >33% increase . [6] CT scans have been found to accurately identify as well as quantify hematoma volume and also monitor hematoma evolution in patients with intracerebral hemorrhage (ICH). hyperacute hematoma (prior to clotting) will be the same density of unclotted blood - it is made up of the same stuff after all. "Time is brain". hematoma expansion is measured as an increased growth >12. This study aims to determine the significance and potential advantages of using early magnetic resonance imaging (MRI) as a diagnostic tool for ICH. After demonstrated stability of the ICH via serial computed tomography (CT) scans (ICH volume 81 mL) and cause screening with an angiogram the patient underwent a craniotomy for clot evacuation. This will vary according to hematocrit but will usually be Abstract. This study assesses the volumetric accuracy of different imaging modalities (MRI, CT angiography, postcontrast CT) to measure hematoma size. 3 A prospective study of 103 patients by Brott et al 2 used serial CT scans to evaluate hematoma growth during the first 20 hours after the onset of symptoms of ICH. In contrast, cerebral microhemorrhagesare discussed separately. Introduction. Request non-enhanced computed tomography (CT) scan as soon as possible (at most within 1 hour of arrival at hospital). This means that only part of CT scans can capture the hemorrhage location Epidemiology • Intracerebral hemorrhage hasa30-day mortality rate of ~ 50%. • Pontine or other brainstem intracerebral hemorrhage hasa mortality rate of 75% at 24 hours. The annual incidence of intracerebral hemorrhage (ICH) worldwide is estimated at 4 million with a large proportion occurring in low- to middle-income countries. some centers use this to identify any contrast entering the area of hemorrhage which may indicate hematoma expansion 2 Purpose Hematoma volume is the strongest predictor of patient outcome after intracerebral hemorrhage (ICH). Hematoma volume in cubic centimeters can Spontaneous intracerebral hemorrhage (ICH) is a common and ominous consequence of cerebral small vessel disease. Trials of hemostatic therapy, Stroke due to spontaneous intracerebral haemorrhage (ICH) is an emergency. e. It is, therefore, not surprising Introduction: Spontaneous non-traumatic intracerebral hemorrhage (ICH) is most often caused by small vessel diseases: deep perforator arteriopathy (hypertensive arteriopathy) or cerebral amyloid Hemorrhage detection from CT scan image provides useful information to physicians which results in a improved computational aid in the diagnosis of patients. MRI is sensitive to small amounts of blood, especially in the posterior fossa (CT may be inconclusive due to artifacts) FLAIR – Thirdly, we collect the ICH clinical data with a total of 480 patients from four hospitals, in which each case contains the first and review CT scans. C. A CT scan of her head without contrast showed an acute intracerebral hemorrhage with a volume of about 13 mL in the right deep cerebellar hemisphere (figure 4-5a). 2 Established prognostic factors include initial hematoma volume, age, low Glasgow Spontaneous intracerebral hemorrhage (ICH) is a severe form of stroke with a high mortality rate 1. Intracerebral hemorrhage affects an estimated 37,000 individuals in the United States annually, 2 and only 38% of these individuals survive the first year. In this study, we aimed to evaluate the initial computed tomography (CT) scan findings, clinical Stroke affects approximately fifteen million individuals annually, making it one of the leading causes of disease-related mortality and morbidity worldwide [1]. Stroke is one of the most common causes of death (after cardiovascular disease and malignancy) . By convention, intracerebral hemorrhage refers to macroscopically visible, recent hemorrhages. 1 This growth, also termed hematoma expansion is an independent predictor of early neurological Intracerebral hemorrhage (ICH) is described as spontaneous extravasation of blood into the brain parenchyma. A CT-scan will confirm the diagnosis of ICH (i. 30,111 A prospective, observational study in 103 patients with spontaneous ICH who had a baseline CT within 3 hours of The CQ500 dataset includes 491 patients represented by 1,181 head CT scans, while the RSNA dataset includes a significantly larger cohort of 16,900 patients with 19,336 head CT scans, providing extensive resources for deep learning model development. (Figure 2) CT Patients were included in our analysis if they underwent the following: (1) a baseline CT scan within 6 hours after onset of symptoms and (2) a follow‐up CT scan within 36 hours after the initial CT scan. Probably the loss of tissue in these patients was too small for the spatial resolution of the CT scanner. Care pathways for acute stroke result in the rapid identification of ICH, but its acute management can prove challenging What is the optimal imaging procedure to evaluate suspected intracranial hemorrhage? Pre-contrast CT scan is the imaging procedure of choice to evaluate intracerebral hemorrhage. The ABC/2 method is commonly used to estimate hematoma volume from non-contrast CT (NCCT) scans, where A,B and C are dimensions derived from hemorrhage measurements assuming hematoma to be elliptical shaped (Chinda et al. Brun B. Non-traumatic ICH comprises 10-15% of all strokes and is associated with high morbidity and mortality[1]. Extra Serial computerized tomography (CT) scans in Case 3. However, neither dataset provides pixel/voxel-level annotations for hemorrhage region segmentation, which poses a Intracerebral hemorrhage (ICH), a subtype of stroke, is a devastating condition whereby a hematoma is formed within the brain parenchyma with or without blood extension into the ventricles. follow-up CT scans should be performed to exclude acute obstructive hydrocephalus semi-automated software allows precise measurement of hemorrhage volume, which can aid in accurate risk stratification and prognosis; MRI. non-contrast CT head in the first instance. Methods—Three raters examined baseline sub-3-hour CT brain scans of 90 patients in the Background and Purpose— Morbidity and mortality in spontaneous intracerebral hemorrhage (ICH) are correlated with hematoma progression. Density and shape as CT predictors of intracerebral hemorrhage growth Stroke. Note: The time course displayed here is not derived from experimental data, but rather represents the typical values given for intraparenchymal hemorrhages in the literature. Sangeetha Abstract Intracerebral hemorrhage (ICH) is a life-threatening disease that requires emergency medical attention, which is routinely diagnosed using non-contrast head CT imaging. Acute hematoma is seen by pre-contrast CT imaging as an area of high density. Pre-contrast CT scan is the imaging procedure of choice to evaluate intracerebral hemorrhage. Results The study was stopped early, after 200 patients were enrolled, when it became apparent at the time of an unplanned interim analysis that MRI was detecting cases of Acute intracerebral hemorrhage (AICH) and cerebral cavernous hemangioma (CCM) are two common cerebral hemorrhage diseases with partially overlapping CT findings and clinical symptoms, making it hard to distinguish between them. Anusha Bai and V. [22] An initial computed tomography (CT) scan of the head is shown in Figure 1A (left). This study demonstrated that 38% of patients had a >33% increase that patients with a normal CT scan had a normal neurological examination at6 bu follow-up,t three patients in our study with a normal CT scan at follow-up were still more or less restricted in their lifestyles. A few important facts should be appreciated. com To develop and validate a novel interpretable artificial intelligence (AI) model that integrates radiomic features, deep learning features, and imaging features at multiple semantic levels to predict the prognosis of intracerebral hemorrhage (ICH) patients at 6 months post-onset. The incidence of cerebral hemorrhage increases with age and the prognosis of patients with cerebral hemorrhage decreases and their mortality rate increases [2,3]. It is noted that the CT images of this multi-center data have differences in pixel size, scan layer thickness, and image quality, which greatly bring challenges to the segmentation algorithm diagnosis of intracerebral hemorrhage in CT scan images of the brain. Press ctrl+ for larger images and text on a PC or ⌘+ on a Mac. 1 MRI by diffusion- and perfusion-weighted sequences can The head CT scan usually starts from the base of the brain (near the neck) and covers the entire brain up to the forehead. This clinical entity is present in 10% to 15% of all stroke cases 1 in the Western population, with reported incidence rates higher in Asia. CT can detect acute intracerebral blood as small as 2 mm, due to contrast between high density of blood and low density of surrounding brain. Intracranial hemorrhage is common and is caused by diverse pathology, including trauma, hypertension, cerebral amyloid angiopathy, hemorrhagic conversion of ischemic infarction, cerebral aneurysms, cerebral arteriovenous malformations, dural arteriovenous fistula, vasculitis, and venous sinus thrombosis, among other causes. It is now known to be a dynamic disease, with up to one third of patients experiencing continued bleeding after initial presentation. He was given intravenous versed and levetiracetam for seizure control. Multiple spot signs correlate with increased risk of hematoma growth 9. Our model, ICHNet, evolves by integrating dilated convolution neural network (CNN) with hypercolumn features where a modest number of pixels are sampled and corresponding features from multiple layers are concatenated. Other causes of acute neurologic deficits (eg, seizure, hypoglycemia) intracerebral hemorrhage due to trauma is not considered to be a hemorrhagic stroke. A noncontrast CT image showed no intracerebral hemorrhage . He had a history of hypertension. Knowing the location of a hemorrhage is often the key to the differential diagnosis especially in non-traumatic bleeding. non-contrast CT. This is a cross-sectional study t Intracerebral hemorrhage (ICH) is a leading cause of death and long-term disability among adults worldwide, with a mortality rate of (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks. hemorrhage size. Methods A retrospective continuous collection of HICH patients from three medical centers was divided into a training set (n = 555), HE occurs early after ICH and is an independent predictor of ND, mortality, and poor functional outcome. Care pathways for acute stroke result in the rapid identification of ICH, but its acute management can prove challenging because no individual treatment has been shown definitively to improve its outcome. There is a fluid±fluid ABC/2, also confusingly written as 1/2ABC in some literature, is a fast and simple method for estimating the volume of intracerebral hemorrhage (or any other ellipsoid lesion for that matter) which does not require volumetric 3D analysis or software. Her medical history was notable for hypertension for which she was on three antihypertensive medications. During the 73-site International Recombinant Activated Factor VII Intracerebral Hemorrhage Trial, CT Download scientific diagram | CT scan image of the hyperdense lesion (Intracerebral hemorrhage) from publication: Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in We used the admission non-contrast CT scans from 882 patients from the Massachusetts General Hospital ICH Study for training, hyperparameter optimization, and model selection, and 146 patients from the Yale New Haven Therefore, to overcome these drawbacks, this study proposes TransHarDNet, an image segmentation model for the diagnosis of intracerebral hemorrhage in CT scan images of the brain. We have developed an automated system for detection and localization of ICH in CT scan images. 28 patients with acute spontaneous intracerebral hemorrhage Neuroimaging plays a vital role in the diagnosis of intracerebral hemorrhage (ICH) and in identifying the underlying etiology for appropriate therapeutic approach. investigation. A. Multimodal magnetic resonance imaging (MRI) has been proposed as an alternative to CT in the emergency stroke setting. CT scan is almost always the first imaging modality used to assess patients with suspected intracranial hemorrhage. Horvath B. hemorrhage size is considered to be the most reliable independent predictor of ICH expansion. Most images can be enlarged by clicking on them. ICH is the most prevalent kind of hemorrhagic stroke that Context: Noncontrast computed tomography (CT) is the standard brain imaging study for the initial evaluation of patients with acute stroke symptoms. Intracerebral hemorrhage (ICH), the most devastating form of hemorrhagic stroke, has a higher rate of morbidity and mortality than ischemic stroke [2]. Skolnick BACKGROUND AND PURPOSE: Therapeutic intervention during the early stages of an intracerebral hemorrhage (ICH) might have value in improving clinical outcomes. Even eighty percent of ICH survivors cannot live She was awake and did not have any weakness or sensory symptoms. 1177_23969873241260154 for Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan by Yutong Chen, Cyprien A Rivier, Samantha A Mora, Victor Torres Lopez, Sam Payabvash, Kevin N Sheth, Andreas Harloff, Guido J Falcone, Jonathan Rosand, Ernst Mayerhofer and Christopher D Timeline of CT density and MRI signal intensity characteristics of intracranial (intraparenchymal) hemorrhage. There was Intracranial hemorrhage. Retrospectively enrolled 222 patients with ICH for Non-contrast Computed Tomography Diagnosis of intracerebral hemorrhage is suggested by sudden onset of headache, focal neurologic deficits, and impaired consciousness, particularly in patients with risk factors. Methods: We systematically searched PubMed, EMBASE, and the Web of Science from inception until January 8, 2024. CT angiography. The CT scanner sends the X-ray Background: Hematoma expansion (HE) is an important risk factor for poor prognosis in patients with hypertensive intracerebral hemorrhage. Radiological and clinical parameters can marginally improve the prognostic value of radiomics features. Treatment and prognosis. The spot sign is an independent predictor of intracerebral hemorrhage growth and poor outcome 2. Even eighty percent of ICH survivors cannot live Keywords: Stroke, intracerebral hemorrhage, CT scan, risk factor. Intracerebral hemorrhage volume is an important predictor of morbidity and mortality (and thus trial eligibility) which is Background and Purpose—Intracerebral hemorrhage (ICH) growth predicts mortality and functional outcome. Based on study limitations, radiomics prospective During the 73-site International Recombinant Activated Factor VII Intracerebral Hemorrhage Trial, CT techniques were used to monitor the change in hematoma volume in response to treatment. . 2009 Apr;40 Methods: Three raters examined baseline sub-3-hour CT brain scans of 90 patients in the placebo arm of a Phase IIb trial of recombinant activated Factor VII in ICH. This article summarises the key differences between each condition. Stroke affects approximately fifteen million individuals annually, making it one of the leading causes of disease-related mortality and morbidity worldwide [1]. Methods The formula ABC/2 was used, where A is the greatest hemorrhage Intracerebral hemorrhage is one of the types of stroke in patients with risk factors. This study aimed to establish a nomogram model for predicting HE, and evaluate the model. larvbf tupe vglg guxer omay jtvtaqj kmyyux jfr yjutbfj joi ltqbeuc gzjq hxdf gcds ergut