scholarly journals STROKE – CORRELATIONS BETWEEN CLINICAL EXAMINATION, IMAGING FINDINGS AND MICROSCOPICAL ASPECTS

2015 ◽  
Vol 14 (3) ◽  
pp. 150-157
Author(s):  
Anca Hancu ◽  
◽  
Mariana Deacu ◽  
Madalina Bosoteanu ◽  
◽  
...  
Keyword(s):  
Histological Examination ◽  
Clinical Examination ◽  
Vessel Wall ◽  
Causes Of Death ◽  
Imaging Techniques ◽  
Pathological Process ◽  
Neurologic Diseases ◽  
Death Cases ◽  
The Brain

Stroke is the most frequent cause of disability among the neurologic diseases of the adult. In the last two decades, the extraordinary development of brain imaging techniques allows the rapid recognition of normal, ischemic, infarction or hemorrhagic brain tissue. The term cerebrovascular disease designates any abnormality of the brain resulting from a pathological process of the blood vessels, including occlusion by embolus or thrombus, rupture of a vessel, an altered permeability of the vessel wall, or increased viscosity or other changes in quality of the blood flowing through the cerebral vessels. The clinical, imagistic and histological correlations in the study of arteriosclerosis are very important due to the fact that cardiovascular disease and stroke are the main causes of death in developped countries. Our study consists of a group of 36 patients admitted in the Neurology department of Constanta County Emergency Hospital in the first six months of 2012 with the diagnosis of acute stroke, which died within the first 5 days from admission. The studied group was divided into four subgroups, according to the CT scan findings and clinical examination on admission and the autopsy results. In the sudden death cases that had no acute lesions on the brain CT on admission, histological examination revealed the diagnosis. In all cases, histological examination included in showed atherosclerotic modifications of cerebral and peripheral vessels (the circle of Willis arteries, coronary arteries, aorta and renal arteries).

scholarly journals Magnetic resonance vessel wall imaging in cerebrovascular diseases

2019 ◽  
Vol 47 (6) ◽  
pp. E4 ◽  
Author(s):  
Christopher C. Young ◽  
Robert H. Bonow ◽  
Guilherme Barros ◽  
Mahmud Mossa-Basha ◽  
Louis J. Kim ◽  
...  
Keyword(s):  
Vessel Wall ◽  
Vascular Malformations ◽  
Imaging Techniques ◽  
Cerebrovascular Diseases ◽  
Vessel Wall Imaging ◽  
Blunt Cerebrovascular Injury ◽  
Cerebrovascular Injury ◽  
Progression Of Disease ◽  
The Brain ◽  
Wall Imaging

Cerebrovascular diseases manifest as abnormalities of and disruption to the intracranial vasculature and its capacity to carry blood to the brain. However, the pathogenesis of many cerebrovascular diseases begins in the vessel wall. Traditional luminal and perfusion imaging techniques do not provide adequate information regarding the differentiation, onset, or progression of disease. Intracranial high-resolution MR vessel wall imaging (VWI) has emerged as an invaluable technique for understanding and evaluating cerebrovascular diseases. The location and pattern of contrast enhancement in intracranial VWI provides new insight into the inflammatory etiology of cerebrovascular diseases and has potential to permit earlier diagnosis and treatment. In this report, technical considerations of VWI are discussed and current applications of VWI in vascular malformations, blunt cerebrovascular injury/dissection, and steno-occlusive cerebrovascular vasculopathies are reviewed.

scholarly journals Exercise Factors Released by the Liver, Muscle, and Bones Have Promising Therapeutic Potential for Stroke

2021 ◽  
Vol 12 ◽  
Author(s):  
Joseph S. Stephan ◽  
Sama F. Sleiman
Keyword(s):  
Ischemic Stroke ◽  
Causes Of Death ◽  
Therapeutic Potential ◽  
Primary Caregivers ◽  
Economic Perspective ◽  
Positive Effects ◽  
The World ◽  
Beta Hydroxybutyrate ◽  
The Brain

Stroke is one of the leading causes of death and disability in the world. Stroke not only affects the patients, but also their families who serve as the primary caregivers. Discovering novel therapeutic targets for stroke is crucial both from a quality of life perspective as well as from a health economic perspective. Exercise is known to promote neuroprotection in the context of stroke. Indeed, exercise induces the release of blood-borne factors that promote positive effects on the brain. Identifying the factors that mediate the positive effects of exercise after ischemic stroke is crucial for the quest for novel therapies. This approach will yield endogenous molecules that normally cross the blood brain barrier (BBB) and that can mimic the effects of exercise. In this minireview, we will discuss the roles of exercise factors released by the liver such as beta-hydroxybutyrate (DBHB), by the muscle such as lactate and irisin and by the bones such as osteocalcin. We will also address their therapeutic potential in the context of ischemic stroke.

Classification of methods for generating pseudo-CT from MRI images for MRI-alone RT

2017 ◽  
Vol 1 (3) ◽  
pp. 54
Author(s):  
BOUKELLOUZ Wafa ◽  
MOUSSAOUI Abdelouahab
Keyword(s):  
Performance Metrics ◽  
Radiation Treatment ◽  
Hybrid Methods ◽  
Dose Calculation ◽  
Absolute Error ◽  
Ct Images ◽  
General Technique ◽  
Therapy Field ◽  
The Brain

Background: Since the last decades, research have been oriented towards an MRI-alone radiation treatment planning (RTP), where MRI is used as the primary modality for imaging, delineation and dose calculation by assigning to it the needed electron density (ED) information. The idea is to create a computed tomography (CT) image or so-called pseudo-CT from MRI data. In this paper, we review and classify methods for creating pseudo-CT images from MRI data. Each class of methods is explained and a group of works in the literature is presented in detail with statistical performance. We discuss the advantages, drawbacks and limitations of each class of methods. Methods: We classified most recent works in deriving a pseudo-CT from MR images into four classes: segmentation-based, intensity-based, atlas-based and hybrid methods. We based the classification on the general technique applied in the approach. Results: Most of research focused on the brain and the pelvis regions. The mean absolute error (MAE) ranged from 80 HU to 137 HU and from 36.4 HU to 74 HU for the brain and pelvis, respectively. In addition, an interest in the Dixon MR sequence is increasing since it has the advantage of producing multiple contrast images with a single acquisition. Conclusion: Radiation therapy field is emerging towards the generalization of MRI-only RT thanks to the advances in techniques for generation of pseudo-CT images. However, a benchmark is needed to set in common performance metrics to assess the quality of the generated pseudo-CT and judge on the efficiency of a certain method.

CLINICAL AND NEUROLOGICAL FEATURES OF TRAUMATIC BRAIN DISEASE DURING THE STAGES OF REHABILITATION

2020 ◽  
Vol 3 (1) ◽  
pp. 51-53
Author(s):  
Rano Azizova ◽  
◽  
Umida Shamsiyeva ◽  
Mirzohid Turabbayev ◽  
Begzod Jorayev ◽  
...  
Keyword(s):  
Mechanical Energy ◽  
Pathological Process ◽  
Brain Disease ◽  
Clinical Forms ◽  
Neurological Features ◽  
Mechanisms Of Development ◽  
The Brain

Traumatic brain disease (TBHD) is a pathological process triggered by the damaging effect of mechanical energy on the brain and is characterized — with a variety of clinical forms — by the unity of etiology, pathogenetic and sanogenetic mechanisms of development and outcomes.

Neuro-Optometric Treatment of Complications from a Cerebellar Astrocytoma

2020 ◽  
pp. 304-312
Keyword(s):  
Visual System ◽  
Common Site ◽  
Us Army ◽  
Cranial Nerve Palsies ◽  
Pilocytic Astrocytomas ◽  
The Us ◽  
Extent Of Damage ◽  
Functional Components ◽  
The Brain

Background: Insult to the brain, whether from trauma or other etiologies, can have a devastating effect on an individual. Symptoms can be many and varied, depending on the location and extent of damage. This presentation can be a challenge to the optometrist charged with treating the sequelae of this event as multiple functional components of the visual system can be affected. Case Report: This paper describes the diagnosis and subsequent ophthalmic management of an acquired brain injury in a 22 year old male on active duty in the US Army. After developing acute neurological symptoms, the patient was diagnosed with a pilocytic astrocytoma of the cerebellum. Emergent neurosurgery to treat the neoplasm resulted in iatrogenic cranial nerve palsies and a hemispheric syndrome. Over the next 18 months, he was managed by a series of providers, including a strabismus surgeon, until presenting to our clinic. Lenses, prism, and in-office and out-of-office neurooptometric rehabilitation therapy were utilized to improve his functioning and make progress towards his goals. Conclusions: Pilocytic astrocytomas are the most common primary brain tumors, and the vast majority are benign with excellent surgical prognosis. Although the most common site is the cerebellum, the visual pathway is also frequently affected. If the eye or visual system is affected, optometrists have the ability to drastically improve quality of life with neuro-optometric rehabilitation.

PENGARUH PIJAT BAYI TERHADAP KUALITAS TIDUR BAYI UMUR 0 – 3 BULAN DI WILAYAH KERJA PUSKESMAS SOSIAL PALEMBANG TAHUN 2016

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Juliana Widyastuti Wahyuningsih Juliana Widyastuti Wahyuningsih
Keyword(s):  
Experimental Design ◽  
Growth And Development ◽  
Sampling Technique ◽  
P Value ◽  
Development Phase ◽  
Quality Of Sleep ◽  
Infant Massage ◽  
Before And After ◽  
The Brain

ABSTRAK Tidur merupakan kebutuhan yang harus terpenuhi terutama pada fase perkembangan karena selama tidur akan terjadi perkembangan otak maupun tubuh, sehingga gangguan tidur merupakan masalah yang akan menimbulkan dampak buruk terhadap pertumbuhan dan perkembangan bayi. Kualitas tidur bayi yang baik dapat diciptakan dengan memberikan pemijatan bayi secara rutin. Penelitian ini bertujuan untuk membuktikan bahwa pemijatan dapat mempengaruhi kualitas tidur bayi umur 0-3 bulan. Penelitian ini menggunakan desain penelitian Quasy Eksperimental dengan metode One Group Pretest-Postest. Sampel 22 bayi yang dipilih dengan tehnik Total Sampling yang di observasi sebelum dan sesudah diberikan pemijatan. Variabel yang diukur dalam penelitian ini adalah kualitas tidur bayi 0-3 bulan. Hasil penelitian menunjukkan bahwa ada pengaruh pijat bayi terhadap kualitas tidur bayi umur 0-3 bulan (p value  0,008 < α = 0,05).Berdasarkan hasil penelitian ini disarankan agar keluarga dan masyarakat memberikan pemijatan secara rutin dan mandiri untuk meningkatkan kebutuhan tidur bayi yang berkualitas.   ABSTRACT Sleep is a human necessity that must be met, especially in the development phase because during sleep will occur the brain and body developments, so that sleep disturbance is a problem that would cause adverse effects on infants’ growth and development. The good quality of sleep can be created by providing the infants massage routinely. This study aimed to prove that the massage could affect the quality of sleep on the 0-3 months old baby. This study used Quasy-experimental design with One Group Pretest-Posttest. The sample 22 infants selected by total sampling technique observed on before and after the massage. The variables measured in this study are the quality of sleep. The results of study indicate that there is an effect of infant massage to the sleep quality on 0-3 months old babies (p value 0,008 < α = 0,05).Based on the results of this study it recommended for the families and communities to provide infant massage regularly and independently to increase the quality of sleep on the baby.  

Integrated Biomarkers for Depression in Alzheimer’s Disease: A Critical Review

2017 ◽  
Vol 14 (4) ◽  
pp. 441-452 ◽  
Author(s):  
Sofia Wenzler ◽  
Christian Knochel ◽  
Ceylan Balaban ◽  
Dominik Kraft ◽  
Juliane Kopf ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Affect Regulation ◽  
Current Evidence ◽  
Diagnostic Process ◽  
Neuropsychiatric Manifestation ◽  
The Brain ◽  
Control Functional

Depression is a common neuropsychiatric manifestation among Alzheimer’s disease (AD) patients. It may compromise everyday activities and lead to a faster cognitive decline as well as worse quality of life. The identification of promising biomarkers may therefore help to timely initiate and improve the treatment of preclinical and clinical states of AD, and to improve the long-term functional outcome. In this narrative review, we report studies that investigated biomarkers for AD-related depression. Genetic findings state AD-related depression as a rather complex, multifactorial trait with relevant environmental and inherited contributors. However, one specific set of genes, the brain derived neurotrophic factor (BDNF), specifically the Val66Met polymorphism, may play a crucial role in AD-related depression. Regarding neuroimaging markers, the most promising findings reveal structural impairments in the cortico-subcortical networks that are related to affect regulation and reward / aversion control. Functional imaging studies reveal abnormalities in predominantly frontal and temporal regions. Furthermore, CSF based biomarkers are seen as potentially promising for the diagnostic process showing abnormalities in metabolic pathways that contribute to AD-related depression. However, there is a need for standardization of methodological issues and for replication of current evidence with larger cohorts and prospective studies.

A Review of Various Machine Learning Techniques for Brain Tumor Detection from MRI Images

2020 ◽  
Vol 16 (8) ◽  
pp. 937-945
Author(s):  
Aaishwarya Sanjay Bajaj ◽  
Usha Chouhan
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Ct Scan ◽  
Imaging Techniques ◽  
Critical Evaluation ◽  
Tumor Detection ◽  
Machine Learning Techniques ◽  
X Rays ◽  
Detection Techniques ◽  
The Brain

Background: This paper endeavors to identify an expedient approach for the detection of the brain tumor in MRI images. The detection of tumor is based on i) review of the machine learning approach for the identification of brain tumor and ii) review of a suitable approach for brain tumor detection. Discussion: This review focuses on different imaging techniques such as X-rays, PET, CT- Scan, and MRI. This survey identifies a different approach with better accuracy for tumor detection. This further includes the image processing method. In most applications, machine learning shows better performance than manual segmentation of the brain tumors from MRI images as it is a difficult and time-consuming task. For fast and better computational results, radiology used a different approach with MRI, CT-scan, X-ray, and PET. Furthermore, summarizing the literature, this paper also provides a critical evaluation of the surveyed literature which reveals new facets of research. Conclusion: The problem faced by the researchers during brain tumor detection techniques and machine learning applications for clinical settings have also been discussed.

Brain Tumor Detection via Asymmetry Quantification across Mid Sagittal Plane

2020 ◽  
Vol 13 ◽  
Author(s):  
Shoaib Amin Banday ◽  
Mohammad Khalid Pandit
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Sagittal Plane ◽  
Early Stage ◽  
Imaging Techniques ◽  
Complex Structure ◽  
Magnetic Resonance Images ◽  
Absolute Difference ◽  
Brain Hemispheres ◽  
The Brain

Introduction: Brain tumor is among the major causes of morbidity and mortality rates worldwide. According to National Brain Tumor Foundation (NBTS), the death rate has nearly increased by as much as 300% over last couple of decades. Tumors can be categorized as benign (non-cancerous) and malignant (cancerous). The type of the brain tumor significantly depends on various factors like the site of its occurrence, its shape, the age of the subject etc. On the other hand, Computer Aided Detection (CAD) has been improving significantly in recent times. The concept, design and implementation of these systems ascend from fairly simple ones to computationally intense ones. For efficient and effective diagnosis and treatment plans in brain tumor studies, it is imperative that an abnormality is detected at an early stage as it provides a little more time for medical professionals to respond. The early detection of diseases has predominantly been possible because of medical imaging techniques developed from past many decades like CT, MRI, PET, SPECT, FMRI etc. The detection of brain tumors however, has always been a challenging task because of the complex structure of the brain, diverse tumor sizes and locations in the brain. Method: This paper proposes an algorithm that can detect the brain tumors in the presence of the Radio-Frequency (RF) inhomoginiety. The algorithm utilizes the Mid Sagittal Plane as a landmark point across which the asymmetry between the two brain hemispheres is estimated using various intensity and texture based parameters. Result: The results show the efficacy of the proposed method for the detection of the brain tumors with an acceptable detection rate. Conclusion: In this paper, we have calculated three textural features from the two hemispheres of the brain viz: Contrast (CON), Entropy (ENT) and Homogeneity (HOM) and three parameters viz: Root Mean Square Error (RMSE), Correlation Co-efficient (CC), and Integral of Absolute Difference (IAD) from the intensity distribution profiles of the two brain hemispheres to predict any presence of the pathology. First a Mid Sagittal Plane (MSP) is obtained on the Magnetic Resonance Images that virtually divides brain into two bilaterally symmetric hemispheres. The block wise texture asymmetry is estimated for these hemispheres using the above 6 parameters.

scholarly journals Investigation of ill-defined causes of death: assessment of a program's performance in a State from the Northeastern region of Brazil

2014 ◽  
Vol 17 (1) ◽  
pp. 119-134 ◽  
Author(s):  
Elisabeth Barboza França ◽  
Carolina Cândida da Cunha ◽  
Ana Maria Nogales Vasconcelos ◽  
Juan José Cortez Escalante ◽  
Daisy Xavier de Abreu ◽  
...  
Keyword(s):  
Health Professionals ◽  
Causes Of Death ◽  
Family Health ◽  
Completion Rate ◽  
Epidemiological Surveillance ◽  
Mortality Data ◽  
Hospital Records ◽  
Brazilian Government ◽  
Probabilistic Sample

OBJECTIVE: The proportion of ill-defined causes of death (IDCD) was persistently high in some regions of Brazil in 2004. In 2005, the Brazilian government implemented a project in order to decrease this proportion, especially in higher priority states and municipalities. This study aimed to evaluate the performance of this project in Alagoas - a state from the Northeast region of Brazil. METHOD: We selected a probabilistic sample of 18 municipalities. For all IDCD identified in 2010, we collected the verbal autopsy (VA) questionnaires used for home investigation, and the Ministry of Health (MoH) form, which contains information about the final disease and cause of death taken from hospital records, autopsies, family health teams, and civil registry office records. The completion rate of the MoH form and VA was calculated using the number of deaths with specific causes assigned among investigated deaths. RESULTS: A total of 681 IDCD were recorded in 2010 in the sample, of which 26% had a MoH and/or VA3 forms completed. Although the majority of cases were attended by health professionals during the terminal disease, the completion rate was 45% using the MoH form and 80% when VA was performed. CONCLUSIONS: Our findings provide evidence that the training of the epidemiological surveillance teams in the investigation and certification of causes of death could contribute to improve the quality of mortality data.

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