The diagnosis of brain tumours in children: a guideline to assist healthcare professionals in the assessment of children who may have a brain tumour

2010 ◽  
Vol 95 (7) ◽  
pp. 534-539 ◽  
Author(s):  
S. Wilne ◽  
K. Koller ◽  
J. Collier ◽  
C. Kennedy ◽  
R. Grundy ◽  
...  
Keyword(s):  
Brain Tumour ◽  
Brain Tumours ◽  
Healthcare Professionals

Exploring access to rehabilitation services from allied health professionals for patients with primary high-grade brain tumours

2011 ◽  
Vol 25 (8) ◽  
pp. 788-796 ◽  
Author(s):  
Aileen McCartney ◽  
Claire Butler ◽  
Sue Acreman
Keyword(s):  
Brain Tumour ◽  
Brain Tumours ◽  
Healthcare Professionals ◽  
Treatment Options ◽  
Primary Objective ◽  
Rehabilitation Services ◽  
Structured Interviews ◽  
Allied Health Professionals ◽  
Primary Brain Tumours ◽  
The Uk

Primary brain tumours account for less than 2% of cancer diagnoses in the UK but more people under 40 die from a brain tumour than from any other cancer. Despite developments in some treatment options, survival remains poor and patients suffer with considerable functional and cognitive deficits. Rehabilitation for patients with primary brain tumours produces statistically and clinically significant improvements in function. When compared, similar functional gains are made following rehabilitation for brain tumour patients and for those following stroke and traumatic brain injury. There have been very few studies looking at access to rehabilitation for this group of patients as a primary objective. However, existing studies and clinical experience suggest that patients with brain tumours do not access rehabilitation services frequently or easily, either locally or nationally. Therefore, this qualitative study addressed the reasons for this through semi-structured interviews of healthcare professionals, investigating their experiences of rehabilitation for this patient group and describing commonly identified barriers under key themes. The interviews gauged the views of eight healthcare professionals representing three professions in different settings, including hospital and community based. The resultant barriers fell under the following themes: professional knowledge and behaviours; services and systems; and the disease and its effects. Suggested solutions were wide ranging and included education, multidisciplinary meetings and specialist clinicians to co-ordinate care. The barriers to accessing rehabilitation for this group of patients are complex, but some of the solutions could be reached through education and co-ordination of services. Further research into the benefits of, and access to, rehabilitation for this group of patients is essential to ensure that patients with brain tumours are given opportunity to gain from the benefits of rehabilitation in the same way as other diagnoses, both cancer and non-cancer.

Know the symptoms: diagnosing a brain tumour early is key

2021 ◽  
Vol 2 (1) ◽  
pp. 10-11
Author(s):  
Sarah Lindsell
Keyword(s):  
Brain Tumour ◽  
Brain Tumours ◽  
Healthcare Professionals ◽  
Signs And Symptoms ◽  
Childhood Brain Tumours ◽  
Early Signs ◽  
The Uk ◽  
The Brain

Everyone has a role to play in reducing diagnosis times for childhood brain tumours, the biggest cancer killer of children and adults under 40 years old in the UK. The Brain Tumour Charity's HeadSmart campaign aims to inform parents and healthcare professionals about the key early signs and symptoms of brain tumours.

scholarly journals Mortality due to primary brain tumours in China and detection rate in people with suspected symptoms: a nationally representative cross-sectional survey

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Bin Jiang ◽  
Hongmei Liu ◽  
Dongling Sun ◽  
Haixin Sun ◽  
Xiaojuan Ru ◽  
...  
Keyword(s):  
Brain Tumour ◽  
Brain Tumours ◽  
Detection Rate ◽  
Epidemiological Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Detection Rates ◽  
Primary Brain Tumours ◽  
Symptom Screening ◽  
Nationally Representative

Abstract Background and purpose Epidemiological data on primary brain tumours (PBTs) are lacking due to the difficulty in case ascertainment among the population. Thus, we aimed to estimate mortality due to PBTs in China nationwide and the detection rate in people with suspected symptoms. Methods A multistage, complex sampling survey regarding mortality due to PBTs in Chinese individuals was carried out by reviewing all causes of death within a year. The detection rates in people with suspected symptoms were estimated based on PBT symptom screening and neurologist reviews and compared between groups by logistic regression analysis. Results Weighted mortality due to PBT was 1.6 (0.8–3.3) per 100,000 population in Chinese individuals, 1.8 (0.7–4.6) per 100,000 population in men, and 1.5 (0.5–4.5) per 100,000 population in women. Among 14,990 people with suspected symptoms, the PBT detection rate was 306.9 (95% CI 224.7–409.3) per 100,000 population in the total population, 233.0 (95% CI 135.7–373.1) per 100,000 population in men, and 376.9 (95% CI 252.4–546.3) per 100,000 population in women. People with an unsteady gait (OR 2.46; 95% CI 1.09–5.51; P=0.029), visual anomalies (3.84; 1.88–7.85; P<0.001), and headache (2.06; 1.10–3.86; P=0.023) were more likely to have a brain tumour than those without corresponding symptoms, while people with dizziness/vertigo were less likely to have a brain tumour than those without corresponding symptoms (0.45; 0.23–0.87; P=0.017). Conclusions Mortality due to PBT in China was low, with a nationwide estimate of 21,215 (10,427–43,165) deaths attributable to PBTs annually. However, the detection rate of PBTs can be greatly improved based on symptom screening in the population.

scholarly journals Construction of the National Brain Tumor Registry of China for better management and more efficient use of data: a protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e040055
Author(s):  
Liwei Zhang ◽  
Wang Jia ◽  
Nan Ji ◽  
Deling Li ◽  
Dan Xiao ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Clinical Research ◽  
Brain Tumour ◽  
Brain Tumours ◽  
Benefit Sharing ◽  
Data Quality Control ◽  
Clinical Trial Registry ◽  
Discharge Data ◽  
Tumor Registry ◽  
Depth Analysis

IntroductionBrain tumours encompass a complex group of intracranial tumours that mostly affect young adults and children, with a high incidence rate and poor prognosis. It remains impossible to systematically collect data on patients with brain tumours in China and difficult to perform in-depth analysis on the status of brain tumours, medical outcomes or other important medical issues through a multicentre clinical study. This study describes the first nation-wide data platform including the entire spectrum of brain tumour entities, which will allow better management and more efficient application of patient data in China.Methods and analysisThe National Brain Tumor Registry of China (NBTRC) is a registry of real-word clinical data on brain tumours. It is established and managed by the China National Clinical Research Center for Neurological Diseases and administered by its scientific and executive committees. The 54 participating hospitals of the NBTRC are located in 27 provinces/municipalities, performing more than 40 000 brain tumour surgeries per year. The data consist of in-hospital medical records, images and follow-up information after discharge. Data can be uploaded in three ways: the web portal, remote physical servers and offline software. The data quality control scheme is seven-dimensional. Each participating hospital could focus on a single pathology subtype and public subtypes of brain tumour for which they expect to conduct related multicentre clinical research. The standardised workflow to conduct clinical research is based on the benefit-sharing mechanism. Data collection will be conducted continuously from 1 February 2019 to 31 January 2024.Ethics and disseminationInformed consent will be obtained from all participants. Consent for the adolescents’ participation will be also obtained from their guardians via written consent. The results will be published in professional journals, in both Chinese and English.Trial registration numberChinese Clinical Trial Registry (ChiCTR1900021096).

scholarly journals Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e024489 ◽  
Author(s):  
Ken Karipidis ◽  
Mark Elwood ◽  
Geza Benke ◽  
Masoumeh Sanagou ◽  
Lydiawati Tjong ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Brain Tumour ◽  
Brain Tumours ◽  
Ecological Study ◽  
Population Based ◽  
Incidence Rates ◽  
Anatomical Location ◽  
Mobile Phone Use ◽  
Registration Data ◽  
Relative Risks

ObjectiveSome studies have reported increasing trends in certain brain tumours and a possible link with mobile phone use has been suggested. We examined the incidence time trends of brain tumour in Australia for three distinct time periods to ascertain the influence of improved diagnostic technologies and increase in mobile phone use on the incidence of brain tumours.DesignIn a population-based ecological study, we examined trends of brain tumour over the periods 1982–1992, 1993–2002 and 2003–2013. We further compared the observed incidence during the period of substantial mobile phone use (2003–2013) with predicted (modelled) incidence for the same period by applying various relative risks, latency periods and mobile phone use scenarios.SettingNational Australian incidence registration data on primary cancers of the brain diagnosed between 1982 and 2013.Population16 825 eligible brain cancer cases aged 20–59 from all of Australia (10 083 males and 6742 females).Main outcome measuresAnnual percentage change (APC) in brain tumour incidence based on Poisson regression analysis.ResultsThe overall brain tumour rates remained stable during all three periods. There was an increase in glioblastoma during 1993–2002 (APC 2.3, 95% CI 0.8 to 3.7) which was likely due to advances in the use of MRI during that period. There were no increases in any brain tumour types, including glioma (−0.6, –1.4 to 0.2) and glioblastoma (0.8, –0.4 to 2.0), during the period of substantial mobile phone use from 2003 to 2013. During that period, there was also no increase in glioma of the temporal lobe (0.5, –1.3 to 2.3), which is the location most exposed when using a mobile phone. Predicted incidence rates were higher than the observed rates for latency periods up to 15 years.ConclusionsIn Australia, there has been no increase in any brain tumour histological type or glioma location that can be attributed to mobile phones.

scholarly journals Diagnostic Accuracy and Validity of Magnetic Resonance Imaging in the Detection of Speci!c Type of Brain Tumour

2019 ◽  
Vol 46 (3) ◽  
pp. 85-89
Author(s):  
Swati Munshi ◽  
Farid Ahmed ◽  
Bibekananda Halder ◽  
Abdullah Yousuf ◽  
Md Mahbubur Rahman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diagnostic Accuracy ◽  
Brain Tumour ◽  
Brain Tumours ◽  
Histopathological Examination ◽  
Test Validity ◽  
Resonance Imaging ◽  
Grade Ii ◽  
Grade Iii

Magnetic Resonance Imaging (MRI) is a widely accessible imaging technique for the detection of brain tumours and cancer, which are further confirmed by histopathological examination. Accurate detection of the tumours and its extent is very difficult. The present study attempted to evaluate the convenience of MRI in detection of different grades of astrocytomas, which are the most commonly occurring brain tumours. This cross-sectional study was conducted at the Department of Radiology and Imaging with the collaboration of Department of Neurosurgery and Department of Pathology at Sir Salimullah Medical College (SSMC & MH), Dhaka from January 2013 to December 2013 for a period of one year. The study population was all the diagnosed cases of intracranial astrocytoma patients regardless of their age and sex. The studied included 48 brain tumour (astrocytoma) patients, ages between 13 and 69 years old. All cases having no contraindication for MRI underwent MR examination followed by histopathological examination of the postoperative resected tissues. The findings of the MRI and histopathological examination were compared to find out the test validity of the MRI findings of the different grades of astrocytoma’s. The highest sensitivity was found in grade III astrocytoma (90.5%) followed by grade II (85.7%) grade IV (75.0%) and grade I (60.0%). The highest specificity was found in grade I astrocytoma (97.7%) followed by Grade III (96.3%), grade IV (92.5%) and grade II (91.5%). The highest accuracy was found in both grade I astrocytoma (93.7%) and grade III (93.7%) followed by grade II (92.5%) and grade IV (89.6%). As per the study findings it can be concluded that,MRI has a high diagnostic accuracy and validity for the detection of different grades of astrocytoma. Bangladesh Med J. 2017 Sep; 46 (3): 85-89

scholarly journals Determination of SOX9 Gene Expression In Brain Tumours Among East Coast Malaysia Population

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Md Dzali NB ◽  
Wan Taib WR ◽  
Zahary MN ◽  
Abu Bakar NH ◽  
Abd Latif AZ ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Brain Tumour ◽  
Brain Tumours ◽  
East Coast ◽  
Rna Extraction ◽  
Slight Modification ◽  
Low Grade ◽  
Normal Brain ◽  
Sox9 Expression ◽  
Sox9 Gene

Introduction: SOX9, a members of SOX family, plays a significant roles in developmental processes during embryogenesis, including brain tissue. Few studies have shown that SOX9 has been involved in tumourigenesis of several types of cancer including brain tumour. However, such studies are still lacking in the Malaysian population. The aim of this study was to determine SOX9 expression level in several types of brain tumours in East Coast Malaysia. Materials and Methods: Five formalin-fixed pariffin-embedded brain tumour samples of Malay descendants were sectioned by using microtome. RNA extraction was performed with slight modification by adding Trizol during tissue lysis. The RNA was converted to cDNA using reverse transcription technique before SOX9 expression was detected using RT q-PCR assay in brain tumours normalized to non-neoplastic brain tissues. Results: Overall results displayed that SOX9 gene in all samples were up-regulated. SOX9 overexpression was found in both high and low grade glioma (anaplastic and pilocytic astrocytoma respectively). This is consistence with both low grade (benign) and atypical meningioma. Secondary brain tumour also showed up-regulation when compared to normal brain tissue. Conclusion: Up-regulation in SOX9 expression in selected brain tumours in Malay patients revealed its significant roles in brain tumourigenesis. Functional studies should be carried out to observe the SOX9 functions and mechanism whether they should reflect their diverse roles in Malaysia population.

scholarly journals Segmentation of Brain Images by Optimizing Clustering of Convolution Based Features

2021 ◽  
Vol 229 ◽  
pp. 01034
Author(s):  
Vikas Kumar
Keyword(s):  
Brain Tumour ◽  
Brain Tumours ◽  
Normal Brain ◽  
Resonance Imaging ◽  
Comprehensive Overview ◽  
Brain Images ◽  
Non Invasive ◽  
Tumour Segmentation ◽  
Tissue Contrast ◽  
Brain Tumour Segmentation

Brain tumour segmentation aims to separate the various types of tumour tissues like active cells, necrotic core, and edema from normal brain tissues of substantia alba (WM), grey matter (GM), and spinal fluid (CSF). Magnetic Resonance Imaging based brain tumour segmentation studies are attracting more and more attention in recent years thanks to non-invasive imaging and good soft tissue contrast of resonance Imaging (MRI) images. With the event of just about two decades, the ingenious approaches applying computer-aided techniques for segmenting brain tumour are getting more and more mature and coming closer to routine clinical applications. the aim of this paper is to supply a comprehensive overview for MRIbased brain tumour segmentation methods. Firstly, a quick introduction to brain tumours and imaging modalities of brain tumours is given in this proposed research, convolution based optimization. These stepwise step refine the segmentation and improve the classification parameter with the assistance of particle swarmoptimization.

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