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Artificial intelligence (AI) is currently being used as a routine tool for day-to-day activity. Medicine is not an exception to the growing usage of AI in various scientific fields. Vascular and interventional neurology deal with diseases that require early diagnosis and appropriate intervention, which are crucial to saving patients' lives. In these settings, AI can be an extra pair of hands for physicians or in conditions where there is a shortage of clinical experts. In this article, the authors have reviewed the common metrics used in interpreting the performance of models and common algorithms used in this field.

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The article summarizes the training pathways and vocational opportunities within the field of vascular neurology. It highlights the groundbreaking clinical trials that transformed acute stroke care and the resultant increased demand for readily available vascular neurology expertise. The article emphasizes the need to train a larger number of diverse physicians in the subspecialty and the role of vascular neurologists in improving outcomes across demographic and geographic lines.

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BACKGROUND: Professor Fisher's legacy, defined by meticulous observation, curiosity, and profound knowledge, has established a foundational cornerstone in medical practice. However, the advent of automated algorithms and artificial intelligence (AI) in medicine raises questions about the applicability of Fisher's principles in this era. Our objective was to propose adaptations to these enduring rules, addressing the challenges and leveraging the opportunities presented by digital health. SUMMARY: The adapted rules we propose advocate for the harmonious integration of traditional bedside manners with contemporary technological advancements. The judicious use of advanced devices for patient examination, recording, and sharing, while upholding patient confidentiality, is pivotal in modern practice and academic research. Additionally, the strategic employment of AI tools at the bedside, to aid in diagnosis and hypothesis generation, underscores their role as valued complements to clinical reasoning. These adapted rules emphasize the importance of continual learning from experience, literature, and colleagues, and stress the necessity for a critical approach toward AI-derived information, which further consolidates clinical skills. These aspects underscore the perpetual relevance of Professor Fisher's rules, advocating not for their replacement but for their evolution. Thus, a balanced methodology that adeptly utilizes the strengths of AI and digital tools, while steadfastly maintaining the core humanistic values, arises as essential in the modern practice of medicine. KEY MESSAGES: A commitment between traditional medical wisdom and modern technological capabilities may enhance medical practice and patient care. This represents the future of medicine - a resolute commitment to progress and technology, while preserving the essence of medical humanities.

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Alexia without agraphia is a striking vascular syndrome of the acquired inability to read words just written down. This syndrome occurs after lesions in the splenium of the corpus callosum that disconnect the angular gyrus from the visual pathway. Most of the time, a lesion in the left occipital lobe is also present, and patients present with a visual field deficit. It is a classic neurological syndrome that is rarely seen. We present two cases of alexia without agraphia seen in our hospital the same week.

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A male in his 60s with stroke risk factors presented with confusion and word-finding difficulties. He was diagnosed with acute ischemic stroke in the right basal ganglia. He was started on secondary stroke prevention measures including dual antiplatelet therapy and a high-dose statin. A highly reactive rapid plasma reagin (RPR) was performed as part of the workup and found to be positive. Follow-up fluorescent treponemal antibody absorption (TPA) test was also positive, confirming a diagnosis of syphilis. He was discharged home with a scheduled course of antibiotic treatment for tertiary syphilis but returned due to a new episode of transient facial paralysis. Further workup and physical exam findings revealed the patient had neurosyphilis. He was started on the appropriate antibiotic therapy, which significantly improved his confusion and prevented new episodes of stroke.

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Stroke is often viewed as a diagnosis found In the elderly with or without comorbidities, but it is vital to not rule it out in a pediatric patient presenting with signs and symptoms of stroke. Here, we present a case of an 18-month-old boy who arrived at the emergency department with left arm weakness and left-sided seizures a few minutes after a right-sided trivial neck bite that was initially overlooked by the parents until symptoms occurred. Urgent imaging further with a computed tomography scan of the brain revealed a hypodense lesion in the area covering the lateral part of the frontal lobe, insula, and parietal cortex of the right hemisphere. Subsequent CT cervical-cerebral angiogram revealed normal aortic arch, carotid, and vertebral arteries with no dissection, stenosis, or occlusion. However, there was a 4 mm-long occlusion of the M2 segment of the right middle cerebral artery (MCA) suggestive of emboli and subsequent low attenuation of the brain parenchyma in the anterior aspect of the right MCA vascular territory corresponding with the infarction. The objective of this case report is to educate and inform both parents and medical professionals regarding the risk of neurological damage that can occur with minor head and neck trauma that is often overlooked and therefore the importance of ruling it out with necessary imaging modalities.

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Cardiac arrhythmias are one of the most common disorders with high morbidity and mortality. The effect of cardiac arrhythmias on the brain is very pronounced due to the high sensitivity of the brain to oxygen and blood supply. This mortality is preventable by early diagnosis and treatment which improves the patient's quality of life. Intervening at the right time, post arrhythmia is significant in preventing deaths and improving patient outcomes. Multiple pathophysiological mechanisms are studied for the brain-axis implications, that have the potential to be targeted by novel therapies. In this review, we describe the pathophysiological mechanisms and recent advances in detail to understand the functional aspects of the brain-heart axis and neurological implications post-stroke, caused by cardiac disorders.  This paper aims to discuss the current literature on the neurological consequences of cardiac arrhythmias and delve into a deeper understanding of the brain-heart axis, imbalances, and decline, with the aim of summarizing everything and all about the neurological consequences of cardiac arrhythmias.

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Objectives: Due to the limitations of the Coronavirus disease pandemic, medical applicants have relied on remote means of information, such as a program's website, to decide where to apply. However, studies have shown that many residency and fellowship websites lack information. Vascular neurology fellowship websites have not yet been studied. This study evaluates the availability and accessibility of information on vascular neurology fellowship websites. Methods: From 2021 to 2022, a total of 109 U.S. vascular neurology fellowship programs from the Fellowship and Residency Electronic Interactive Database were investigated to determine whether they had websites. Each website was evaluated on the immediate availability of 34 different criteria, which were deemed important by past studies. These criteria were reviewed under four categories: program overview, application information, fellow life, and curriculum. The comprehensiveness of the information among these different categories were analyzed. Programs were grouped by geographic region and electronic residency application service (ERAS)-participation status and comparisons were made within these groups. Results: There were 107 programs with websites (98%). ERAS-participating programs fulfilled more criteria on average than non-participating programs (P = 0.004). All websites provided information on general descriptions of their programs, but information on board exam pass rates, fellow testimonials, history of the fellowship program, responsibility progression, family and social events, parking availability, and application deadline were provided by less than 25% of websites. Conclusion: This study found that there was a large lack of information on vascular neurology fellowship websites, which could be improved to attract more applicants.

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We provide an updated estimate of adult stroke event rates by age group, sex, and stroke type using Canadian administrative data. In the 2017-2018 fiscal year, there were an estimated 81,781 hospital or emergency department visits for stroke events in Canada, excluding Quebec. Our findings show that overall, the event rate of stroke is similar between women and men. There were slight differences in stroke event rate at various ages by sex and stroke type and emerging patterns warrant attention in future studies. Our findings emphasize the importance of continuous surveillance to monitor the epidemiology of stroke in Canada.

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This case highlights a patient presenting with a stroke code in the emergency department with decreased consciousness. The patient was later found to have bilateral thalamic strokes due to ischemia of the artery of Percheron. Initial head computed tomography (CT) and CT angiogram (CTA) of the head and neck showed no abnormalities. CT perfusion (CTP) showed a perfusion deficit of 169 mL with a T-max greater than 4 s and 4 mL with a T-max greater than 6 s in the posterior circulation. The patient received IV alteplase. This case report emphasizes the importance of perfusion neuroimaging in the evaluation of acute ischemic stroke.

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Reversible cerebral vasoconstriction syndrome (RCVS) is a rare neurological condition that classically presents with recurrent, thunderclap headaches and radiographic findings of multifocal narrowing of cerebral vasculature. Complications of RCVS may include ischemic or hemorrhagic strokes. Sympathomimetic agents including cannabinoids have been associated as precipitants in many cases. RCVS is classically considered to be reversible, although cases of recurrent RCVS have been described in the literature. In this report, we describe two cases of recurrent RCVS, which were precipitated by recurrent exposures to inciting agents. The first patient was found to have a history of repeated exposure to tetrahydrocannabinol (THC) and suffered from recurrent multifocal ischemic strokes with evidence of persistent multifocal narrowing of cerebral vasculature by cerebral arteriography. The second case describes a patient with a history of use of ashwagandha, medical marijuana, and serotonin-norepinephrine reuptake inhibitors (SNRIs) who experienced multiple intracranial hemorrhages with radiographic evidence of multifocal narrowing of cerebral vessels as well.

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Moyamoya disease (MMD) is a rare cerebrovascular disease characterized by non-atherosclerotic and non-inflammatory progressive narrowing of the intracranial part of the carotid artery and its proximal branches. The disease process is commonly associated with the development of weak, dilated collateral blood vessels at the base of the brain. This gives it a classic smoky appearance on cerebral angiograms and hence the name "Moyamoya" which means "puff of smoke" in Japanese. When a patient has similar vasculopathy in the setting of another disease then it is known as Moyamoya syndrome (MMS). The associated diseases are sickle cell anemia, neurofibromatosis, long-standing diabetes, uncontrolled hypertension, or chemotherapy. Despite being known as a disease of the East Asian population, the disease is no longer exclusive to Asians, as evidenced by the rising incidence among non-Asian groups such as Caucasians, Hispanics, and African Americans. Patients can remain asymptomatic or present with ischemic or hemorrhagic stroke, headache, seizures, or recurrent transient ischemic attacks. Conventional cerebral angiography is considered the gold standard for diagnosing MMD. Treatment may be supportive, medical, or surgical. We present the case of a 42-year-old African American woman with several comorbidities who presented with sudden onset of ischemic stroke and upon further workup was found to have MMD. Equally important is to identify the most effective therapeutic approaches based on individual patients to achieve better clinical outcomes. Our case report highlights the importance of surgery in symptomatic MMD with a lack of supporting evidence indicating the benefits of dual antiplatelet therapy (DAPT).

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The field of vascular neurology has made tremendous advances over the last several decades, with major shifts in diagnosis, treatment, prevention, and rehabilitation of patients with stroke. Furthermore, the individuals who are providing the care represent a different cohort than those who were caring for stroke patients 30 years ago, with the increasing need for rapid decision-making for acute interventions and a larger workforce being needed to provide the many complicated aspects of care of stroke patients. Understanding the history of the field is critical before one can speculate about its future directions. In summarizing some of the past massive shifts in the past few decades, this review will discuss future opportunities and future challenges and will introduce the rest of this special issue focusing on vascular neurology in a post-thrombectomy era. Although thrombolysis and thrombectomy remain a major part of ischemic stroke management and care, in the coming years, there will likely be further modifications in how we provide the care, who provides it, how we train those individuals who provide it, where it is provided, and what data inform early management decisions.

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Background White matter hyperintensity (WMH) on magnetic resonance imaging (MRI) of the brain is associated with vascular cognitive impairment, cardiovascular disease, and stroke. We hypothesized that portable magnetic resonance imaging (pMRI) could successfully identify WMHs and facilitate doing so in an unconventional setting. Methods and Results In a retrospective cohort of patients with both a conventional 1.5 Tesla MRI and pMRI, we report Cohen's kappa (κ) to measure agreement for detection of moderate to severe WMH (Fazekas ≥2). In a subsequent prospective observational study, we enrolled adult patients with a vascular risk factor being evaluated in the emergency department for a nonstroke complaint and measured WMH using pMRI. In the retrospective cohort, we included 33 patients, identifying 16 (49.5%) with WMH on conventional MRI. Between 2 raters evaluating pMRI, the interrater agreement on WMH was strong (κ=0.81), and between 1 rater for conventional MRI and the 2 raters for pMRI, intermodality agreement was moderate (κ=0.66, 0.60). In the prospective cohort we enrolled 91 individuals (mean age, 62.6 years; 53.9% men; 73.6% with hypertension), of which 58.2% had WMHs on pMRI. Among 37 Black and Hispanic individuals, the Area Deprivation Index was higher (versus White, 51.8±12.9 versus 37.9±11.9; P<0.001). Among 81 individuals who did not have a standard-of-care MRI in the preceding year, we identified WMHs in 43 of 81 (53.1%). Conclusions Portable, low-field imaging could be useful for identifying moderate to severe WMHs. These preliminary results introduce a novel role for pMRI outside of acute care and the potential role for pMRI to reduce disparities in neuroimaging.

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Lesion studies are crucial in establishing brain-behavior relationships, and accurately segmenting the lesion represents the first step in achieving this. Manual lesion segmentation is the gold standard for chronic strokes. However, it is labor-intensive, subject to bias, and limits sample size. Therefore, our objective is to develop an automatic segmentation algorithm for chronic stroke lesions on T1-weighted MR images. Methods: To train our model, we utilized an open-source dataset: ATLAS v2.0 (Anatomical Tracings of Lesions After Stroke). We partitioned the dataset of 655 T1 images with manual segmentation labels into five subsets and performed a 5-fold cross-validation to avoid overfitting of the model. We used a deep neural network (DNN) architecture for model training. Results: To evaluate the model performance, we used three metrics that pertain to diverse aspects of volumetric segmentation, including shape, location, and size. The Dice similarity coefficient (DSC) compares the spatial overlap between manual and machine segmentation. The average DSC was 0.65 (0.61−0.67; 95% bootstrapped CI). Average symmetric surface distance (ASSD) measures contour distances between the two segmentations. ASSD between manual and automatic segmentation was 12 mm. Finally, we compared the total lesion volumes and the Pearson correlation coefficient (ρ) between the manual and automatically segmented lesion volumes, which was 0.97 (p-value < 0.001). Conclusions: We present the first automated segmentation model trained on a large multicentric dataset. This model will enable automated on-demand processing of MRI scans and quantitative chronic stroke lesion assessment.

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INTRODUCTION: Posterior Circulation (PC) stroke represents one-fifth of all ischemic strokes, with peculiar physiological characteristics. Hemorrhagic Transformation (HT) is a dreaded complication among stroke patients. Many predictive scores of this complication have been proposed, but none is designed specifically for PC stroke patients - therefore, patients who are not eligible for reperfusion therapies (RT) represent about 80% of hospitalized cases. We propose a scoring system to assess the HT risk in PC stroke patients not submitted to RT. METHODS: We retrospectively evaluated data of patients diagnosed with PC stroke not treated with RT from 5 Comprehensive Stroke Centers (four in Brazil, 1 in the US) from 2015 to 2018. All patients underwent CT scan or MRI at admission and a follow-up neuroimaging within seven days. Independent variables identified in a logistic regression analysis were used to produce a predictive grading score. RESULTS: We included 952 patients in the final analysis. The overall incidence of HT was 8.7%. Male gender (1 point), NIH Stroke Scale at admission ≥ 5 points (1), blood glucose at admission ≥ 160 mg/dL (1), and cardioembolism (2) were independently associated with HT. The AUC of the grading score (0 to 5 points) was 0.713 (95% CI 0.65-0.78). Subjects with a score ≥ 3 points had an OR of 4.8 (95% CI 2.9-7.9, p < 0.001) for HT. CONCLUSIONS: Our score has good accuracy in identifying patients at higher risk of HT. This score may be useful for evaluating secondary prevention and stratifying patients in the context of even clinical trials.

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Acute ischemic stroke (AIS) is a significant source of morbidity and mortality and is one of the top causes of death in the United States. Of these patients, most are elderly individuals, compared to a limited proportion of cases seen in pediatrics. AIS is classically associated with age-dependent atherosclerotic disease processes secondary to comorbidities such as diabetes and hypertension. When considering the pediatric population, stroke is far less common and often requires workup of other underlying etiologies that create a hypercoagulable state. Here we present a case of an eight-year-old male with a left middle cerebral artery (MCA) ischemic stroke in the setting of increased factor VIII activity and SARS-CoV-2 antibodies.

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We present the case of a 72-year-old female with multifocal strokes found to have multiple, mobile intracardiac masses. We discuss the differential diagnosis and evaluation of intracardiac masses, and the challenges in management of the ultimately diagnosed etiology of stroke in this patient.

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BACKGROUND: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment. METHODS: A retrospective cohort study was conducted of a clinical-administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008-2012. A predictive model based on logistic regression was developed on a training cohort and later validated by the "hold-out" method. Complementary machine learning techniques were also explored. RESULTS: The resulting model had the following nine variables, all readily obtainable during initial care. Age (OR 1.069), female sex (OR 1.202), readmission (OR 2.008), hypertension (OR 0.726), diabetes (OR 1.105), atrial fibrillation (OR 1.537), dyslipidaemia (0.638), heart failure (OR 1.518) and neurological symptoms suggestive of posterior fossa involvement (OR 2.639). The predictability was moderate (AUC 0.742, 95% CI: 0.737-0.747), with good visual calibration; Pearson's chi-square test revealed non-significant calibration. An easily consulted risk score was prepared. CONCLUSIONS: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.

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