Cerebral Echinococcosis Mimicking a Brain Tumour in Rural Southwest Nigeria.

Echinococcosis is a zoonosis caused by tapeworms of the genus Echinococcus. Cerebral echinococcosis (CE) poses a significant public health challenge due to its neglected status. It is endemic in Central Asia, Africa and parts of South America, with prevalence estimated to be 1.18-3 per 100,000 population in Iran. We report the case of a 45-year-old male who presented with seizure disorders and was evaluated and treated for a neoplasm, with complete excision of the lesion. Pathologic examination revealed the characteristic echinococcal (hydatid) cyst. The patient recovered fully. As CE is a great imitator of several other conditions in endemic areas, a high index of suspicion must be maintained in endemic countries.

L'échinococcose est une zoonose provoquée par des ténias du genre Echinococcocus. L'échinococcose cérébrale (EC) pose un défi de santé publique important en raison de son statut négligé. Elle est endémique en Asie centrale, en Afrique et dans certaines parties de l'Amérique du Sud, avec une prévalence estimée entre 1,18 et 3 pour 100 000 habitants en Iran. Nous rapportons le cas d'un homme de 45 ans qui a présenté des troubles épileptiques et a été évalué et traité pour une tumeur, avec excision complète de la lésion. L'examen pathologique a révélé le kyste échinococcique (hydatique) caractéristique. Le patient s'est complètement rétabli. Comme l'EC est un grand imitateur de plusieurs autres conditions dans les zones d'endémie, un indice de suspicion élevé doit être maintenu dans les pays d'endémie. MOTS CLÉS: Tumeur cérébrale, rapport de cas, échinococcose cérébrale, sud-ouest du Nigeria.

High-grade astrocytoma with piloid features: MRI findings associated with a novel entity.

High-grade astrocytoma with piloid features is a newly defined brain tumor that requires DNA methylation profiling for diagnosis. Imaging features specific to this tumor have only recently been described in the radiological literature. We highlight the case of a 34-year-old man who presented with a 4-week history of headaches and light-headedness. Postresection, pathological analysis identified the tumor based on DNA methylation profiling, and the patient was started on adjuvant chemotherapy with Temozolomide. T2-weighted imaging showed a well-circumscribed cerebellar mass, which correlated with the pathology-reported glial tumor cells being elongated and piloid. T1-postgadolinium imaging showed heterogeneous enhancement of linear serpiginous areas, which correlated with regions of high microvascular density and vessels that showed thickening and hyalinization. Diffusion-weighted imaging and apparent diffusion coefficient mapping did not show significant diffusion restriction. Rosenthal fibres were absent. Given the specific imaging-pathology correlation, this report contributes imaging features associated with this novel diagnostic entity.

A web-based resource for exercise training in children treated for brain tumours to improve cognitive sequelae: Development and usability.

Improving cognitive sequelae in children treated for brain tumours (CTBT) requires accessible interventions. While instructor-led exercise in a hospital setting is efficacious, it is not extended to communities. Objectives: We aimed to (i) develop a website with educational resources/tools for community health and fitness professionals (HFP) to deliver exercise for CTBT in community settings to improve cognition and (ii) assess its usability by community HFP. It was hypothesized that the website would be learnable, clear, satisfactory and efficient to deliver exercise. Methods: A scoping review determined the state of eHealth resources to support exercise for CTBT and identified knowledge and resource gaps. Three focus groups with HFP who served cancer survivors in hospital or community settings (n = 13) identified user needs; content analysis identified themes. Gaps from the scoping review and themes from focus groups informed website content. A questionnaire assessed its usability by community HFP (n = 4). Descriptive statistics inferred the website's learnability, clarity, satisfaction and efficiency. Open-ended responses identified issues. Results: The scoping review revealed a lack of eHealth resources supporting exercise to improve cognition in CTBT and education for HFP to deliver exercise. Six themes were identified in the focus groups. HFP rated the website as sufficiently learnable, clear, satisfactory and efficient. Two minor issues were reported and addressed. Conclusion: The website marks one of the first eHealth resources to increase accessibility of intervention to improve cognitive sequelae and ultimately quality of life in CTBT. HFP also gain access to education and tools to deliver exercise in community settings.

EGDP based feature extraction and deep convolutional belief network for brain tumor detection using MRI image.

This research presents a novel deep learning framework for MRI-based brain tumour (BT) detection. The input brain MRI image is first acquired from the dataset. Once the images have been obtained, they are passed to an image preprocessing step where a median filter is used to eliminate noise and artefacts from the input image. The tumour-tumour region segmentation module receives the denoised image and it uses RP-Net to segment the BT region. Following that, in order to prevent overfitting, image augmentation is carried out utilizing methods including rotating, flipping, shifting, and colour augmentation. Later, the augmented image is forwarded to the feature extraction phase, wherein features like GLCM and proposed EGDP formulated by including entropy with GDP are extracted. Finally, based on the extracted features, BT detection is accomplished based on the proposed deep convolutional belief network (DCvB-Net), which is formulated using the deep convolutional neural network and deep belief network.The devised DCvB-Net for BT detection is investigated for its performance concerning true negative rate, accuracy, and true positive rate is established to have acquired values of 93%, 92.3%, and 93.1% correspondingly.

A Case Report on a Common Tumour With an Uncommon Presentation: Glioblastoma.

The most common type of primary brain tumour in adults is gliomas although rare. Glioblastomas are a subtype of gliomas with the worst prognosis having the ability to rapidly increase in size, even doubling within days to weeks. Patients can present with varied presentations depending on the site of the involvement, thus misleading in diagnosis due to vagueness. The most common clinical presentations include headaches, seizures, and focal neurological signs. However, there can be atypical presentations like personality changes and back pain due to meningeal irritation which may be the only presenting complaint in the early stages. Magnetic resonance imaging (MRI) is usually considered the only investigation required for the diagnosis of the illness. However, it can mislead in the early stages. Therefore, brain biopsy remains the gold standard in the diagnosis of glioblastoma multiforme. It is important to identify the subtype to decide on the prognosis and plan the management thereafter. Here, we present a 49-year-old woman with prominent personality changes, depressive symptoms, and atypical brain imaging findings. The definitive diagnosis was made with the brain biopsy as two MRI findings were contradictory. This article highlights the importance of suspicion of primary brain tumours in adults presenting with atypical neuropsychiatric manifestations.

Protocol: revolutionizing central nervous system tumour diagnosis in low- and middle-income countries: an innovative observational study on intraoperative smear and deep learning.

OBJECTIVE: The aim of this study is to assess the feasibility and implementation of a novel approach for intraoperative brain smears within the operating room, which is augmented with deep learning technology. Materials and methods: This study is designed as an observational to evaluate the feasibility and implementation of using an innovative approach to intraoperative brain smears within the operating room, augmented with deep learning technology. The study will be conducted at Aga Khan University Hospital in Karachi, Pakistan, from May 2024 to July 2026, with an estimated sample size of 258. A neurosurgical trainee, trained by the study neuropathologist, will prepare and examine the smears under a microscope in the operating room. The findings of the trainee will be documented and compared to routine intraoperative consultations (smear and/or frozen section) and final histopathology results obtained from the pathology department. Additionally, the study will incorporate artificial intelligence tools to assist with the interpretation of smear and a telepathology interface to enable consultation from an off-site neuropathologist. CONCLUSIONS: The results of this study will hold significant potential to revolutionise neurosurgery practices in lowand middle-income countries by introducing a cost-effective, efficient, and high-quality intraoperative consultation method to settings that currently lack the necessary infrastructure and expertise. The implementation of this innovative approach has the potential to improve patient outcomes and increase access to intraoperative diagnosis, thereby addressing a significant unmet need in LMICs.

Rodent models of tumours of the central nervous system.

Modelling of human diseases is an essential component of biomedical research, to understand their pathogenesis and ultimately, develop therapeutic approaches. Here, we will describe models of tumours of the central nervous system, with focus on intrinsic CNS tumours. Model systems for brain tumours were established as early as the 1920s, using chemical carcinogenesis, and a systematic analysis of different carcinogens, with a more refined histological analysis followed in the 1950s and 1960s. Alternative approaches at the time used retroviral carcinogenesis, allowing a more topical, organ-centred delivery. Most of the neoplasms arising from this approach were high-grade gliomas. Whilst these experimental approaches did not directly demonstrate a cell of origin, the localisation and growth pattern of the tumours already pointed to an origin in the neurogenic zones of the brain. In the 1980s, expression of oncogenes in transgenic models allowed a more targeted approach by expressing the transgene under tissue-specific promoters, whilst the constitutive inactivation of tumour suppressor genes ('knock out')-often resulted in embryonic lethality. This limitation was elegantly solved by engineering the Cre-lox system, allowing for a promoter-specific, and often also time-controlled gene inactivation. More recently, the use of the CRISPR Cas9 technology has significantly increased experimental flexibility of gene expression or gene inactivation and thus added increased value of rodent models for the study of pathogenesis and establishing preclinical models.

Consensus guidelines for the management of posterior fossa tumour for low- and middle-income countries.

The posterior fossa is a limited compartment therefore lesions compressing its structures can result in devastating outcomes. It can cause significant neurological deficit due to mass effect on critical structures and hydrocephalus. Due to the nature of the infratentorial region, urgent surgical intervention is often the first-line option. Surgical neuro-oncologists guide patients and caregivers through the course of this disease and to inform them about the various options for management and long-term outcome optimisation. There is currently conflicting data; however, institutional experiences can guide us towards achieving improvements in surgical outcomes and quality of life. Advances in molecular classifications coupled with highdose radiation treatment improve our capacity for improving overall survival in these patients. Common childhood tumours are ependymomas, medulloblastomas, and juvenile pilocytic astrocytomas, while adults often present with metastases, and less commonly, cerebellar haemangioblastomas and gliomas. This paper outlines management strategies with consideration for multidisciplinary care and resourcelimited settings.

Consensus guidelines for the management of adult high-grade gliomas for low and middle-income countries.

High-grade glioma (HGG), a formidable and often incurable disease, presents an even greater challenge in low- and middle-income countries (LMICs) where resources and medical expertise are scarce. This scarcity not only exacerbates the suffering of patients but also contributes to poorer clinical outcomes. Particularly in LMICs, the underrepresentation of the population in clinical trials and the additional hurdles posed by financial constraints underscore an urgent need for contextspecific management strategies. In response, we have rigorously evaluated recent guidelines from leading medical societies, adapting them to suit the specific needs and limitations of the local context in Pakistan. This effort, undertaken in collaboration with local physicians, aims to provide a comprehensive, standardised approach to diagnose, treat, and follow-up with HGG patients. By focussing on the best available clinical evidence and judicious use of limited resources, we strive to improve patient care and outcomes in these challenging settings.

Developing neuro-oncology clinical trials in low- and middle-income countries: a scoping review of the current literature.

Low- and middle-income countries (LMICs) have historically been under-represented in clinical trials, leading to a disparity in evidence-based recommendations for the management of neurooncological conditions. To address this knowledge gap, we conducted a scoping review to assess the current literature on clinical trials in neuro-oncology from LMICs. The eligibility criteria for inclusion in this review included clinical trials registered and conducted with human subjects, with available English language text or translation, and focussed on neuro-oncological cases. The literature search strategy captured 408 articles, of which 61 met these criteria, with a significant number of randomised controlled trials from specific LMICs. The review found that LMIC clinical trials have contributed significantly to understanding surgical, chemotherapeutic, and radiation therapy interventions for brain tumours, paediatric cancers, and the repurposing of drugs as new targets in neuro-oncology. These findings highlight the potential for expanding clinical trials research in neuro-oncology in LMICs, which may significantly impact global understanding and management of these conditions, particularly from diverse populations from the global south.

Increased Distress in Neurooncological Patients, a Monocentric Longitudinal Study: When to Screen Which Patient?

OBJECTIVE: Neurooncological patients are well-known to experience an increased psycho-oncological burden with a negative impact on distress, therapy adherence, quality of life, and finally survival. But still, psycho-oncological screening and support is rare, with ongoing discussion about specific screening time points and impact factors. Therefore, we analysed the psycho-oncologic treatment demand at specific disease-related time points throughout therapy. METHODS: In this longitudinal, prospective, single-centre study, patients with malignant brain tumours were screened for increased distress (using the Distress Thermometer), anxiety, depression (Hospital Anxiety and Depression Scale questionnaire), and health-related quality of life interference (EORTC QLQ C30-BN20 questionnaire) at specific longitudinal time points during therapy. The results were correlated with sociodemographic and clinical data. RESULTS: From 2013 to 2017, 2500 prospective screening data points from 512 malignant brain tumour patients were analysed. DT was identified as a significant predictor for psycho-oncological treatment demand (p < 0.001). Particularly significant time points concerning psycho-oncological burden were primary diagnosis and tumour recurrence. Next to these known factors, here, patients < 65 years old and female patients (p = 0.018 and p = 0.017) reflected increased screening results, whereas partnership and professional activity (p = 0.043; p = 0.017) were identified as contributing factors to a significantly decreased treatment demand. CONCLUSIONS: The increased need for psycho-oncological support for neurooncological patients is underlined. Psycho-oncological support should particularly be offered at the time points of primary diagnosis and tumour recurrence. To support the positive effect of caregivers, they should be involved at an early stage.

Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring.

The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest publicly available expert-annotated brain tumour dataset but contains solely preoperative examinations. The aim of our study was to facilitate the use of the BraTS dataset for training DL brain tumour segmentation algorithms for a postoperative setting. To this end, we introduced an automatic conversion of the three-label BraTS annotation protocol to a two-label annotation protocol suitable for postoperative brain tumour segmentation. To assess the viability of the label conversion, we trained a DL algorithm using both the three-label and the two-label annotation protocols. We assessed the models pre- and postoperatively and compared the performance with a state-of-the-art DL method. The DL algorithm trained using the BraTS three-label annotation misclassified parts of 10 out of 41 fluid-filled resection cavities in 72 postoperative glioblastoma MRIs, whereas the two-label model showed no such inaccuracies. The tumour segmentation performance of the two-label model both pre- and postoperatively was comparable to that of a state-of-the-art algorithm for tumour volumes larger than 1 cm3. Our study enables using the BraTS dataset as a basis for the training of DL algorithms for postoperative tumour segmentation.

Instrumental activities of daily living in neuro-oncology: International validation of the EORTC IADL-BN32 questionnaire.

BACKGROUND: Neurocognitive impairments are common in patients with a brain tumour, and may negatively impact on functioning in daily life, particularly on instrumental activities of daily living (IADL). The EORTC IADL-BN32 questionnaire was developed to measure IADL in this patient population. METHODS: In this international validation study, we evaluated the EORTC IADL-BN32 questionnaire on several psychometric properties in a large sample of patients with a primary or metastatic brain tumour. We administered the 32-item questionnaire three times: at 'baseline', after 2 weeks and after 3 months. Procedures were in accordance with EORTC Quality of Life Group module development guidelines. RESULTS: In total, 326 patients participated in the study. A bifactor scale structure showed satisfactory model fit measures, with five multi-item scales and two single items, and an IADL sum score. The internal consistency of the multi-item scales ranged from good to excellent (range Cronbach's α: 0.86-0.97). We found significant differences in scale scores between patients with and without neurocognitive impairments or complaints, supporting the construct validity. Initial cross-cultural validity analyses showed indications of item response biases for certain items. Analyses indicated moderate to good test-retest agreement (intraclass correlation coefficient > 0.70) between baseline and the 2-week follow-up assessment for all but one scale. Deterioration of EORTC IADL-BN32 scale scores were consistent with clinically relevant deterioration on other functional measures with small to large effect sizes, however, subgroup sample sizes were small. CONCLUSION: Overall, the EORTC IADL-BN32 questionnaire exhibited adequate to excellent psychometric properties. Cross-cultural validity and responsiveness should be further explored.

The relationship between gadolinium enhancement and [18 F]fluorothymidine uptake in brain lesions with the use of hybrid PET/MRI.

BACKGROUND: To evaluate and compare the diagnostic power of [18F]FLT-PET with ceMRI in patients with brain tumours or other focal lesions. METHODS: 121 patients with suspected brain tumour or those after brain tumour surgery were enroled in this retrospective study (61 females, 60 males, mean age 37.3 years, range 1-80 years). All patients underwent [18F]FLT-PET/MRI with gadolinium contrast agent application. In 118 of these patients, a final diagnosis was made, verified by histopathology or by follow-up. Agreement between ceMRI and [18F]FLT-PET of the whole study group was established. Further, sensitivity and specificity of ceMRI and [18F]FLT-PET were calculated for differentiation of high-grade vs. low-grade tumours, high-grade vs. low-grade tumours together with non-tumour lesions and for differentiation of high-grade tumours from all other verified lesions. RESULTS: [18F]FLT-PET and ceMRI findings were concordant in 119 cases (98%). On closer analysis of a subset of 64 patients with verified gliomas, the sensitivity and specificity of both PET and ceMRI were identical (90% and 84%, respectively) for differentiating low-grade from high-grade tumours, if the contrast enhancement and [18F]FLT uptake were considered as hallmarks of high-grade tumour. For differentiation of high-grade tumours from low-grade tumours and lesions of nontumorous aetiology (e.g., inflammatory lesions or post-therapeutic changes) in a subgroup of 93 patients by visual evaluation, the sensitivity of both PET and ceMRI was 90%, whereas the specificity of PET was slightly higher (61%) compared to ceMRI (57%). By receiver operating characteristic analysis, the sensitivity and specificity were 82% and 74%, respectively, when the threshold of SUVmax in the tumour was set to 0.9 g/ml. CONCLUSION: We demonstrated a generally very high correlation of [18F]FLT accumulation with contrast enhancement visible on ceMRI and a comparable diagnostic yield in both modalities for differentiating high-grade tumours from low-grade tumours and lesions of other aetiology.

An attempt to identify brain tumour tissue in neurosurgery by mechanical indentation measurements.

BACKGROUND: The intraoperative differentiation between tumour tissue, healthy brain tissue, and any sensitive structure of the central nervous system is carried out in modern neurosurgery using various multimodal technologies such as neuronavigation, fluorescent dyes, intraoperative ultrasound or the use of intraoperative MRI, but also the haptic experience of the neurosurgeon. Supporting the surgeon by developing instruments with integrated haptics could provide a further objective dimension in the intraoperative recognition of healthy and diseased tissue. METHODS: In this study, we describe intraoperative mechanical indentation measurements of human brain tissue samples of different tumours taken during neurosurgical operation and measured directly in the operating theatre, in a time frame of maximum five minutes. We present an overview of the Young's modulus for the different brain tumour entities and potentially differentiation between them. RESULTS: We examined 238 samples of 75 tumour removals. Neither a clear distinction of tumour tissue against healthy brain tissue, nor differentiation of different tumour entities was possible on solely the Young's modulus. Correlation between the stiffness grading of the surgeon and our measurements could be found. CONCLUSION: The mechanical behaviour of brain tumours given by the measured Young's modulus corresponds well to the stiffness assessment of the neurosurgeon and can be a great tool for further information on mechanical characteristics of brain tumour tissue. Nevertheless, our findings imply that the information gained through indentation is limited.

Experiences of families post treatment for childhood brain tumours during medical clinic consultations regarding health-related quality of life, unmet needs and communication barriers: A qualitative exploration.

BACKGROUND: Many studies highlight poor health-related quality of life (HRQoL) in children treated for brain tumours and their parents. However, little is known about the extent to which their informational, healthcare and communication needs regarding HRQoL are met during medical outpatient consultations. AIM: To explore the experiences of families regarding communication with physicians about HRQoL issues during consultations after treatment for childhood brain tumours. METHODS: Interviews were conducted with 18 families of children and adolescents aged 8-17 years after completion of brain tumour treatment. Participants had completed treatment within the last 5 years and were receiving regular outpatient follow-up care. Thematic analysis was undertaken using the Framework Method. RESULTS: Five main themes were identified: (i) unmet emotional and mental health needs; (ii) double protection; (iii) unmet information needs; (iv) communication barriers within consultations; and (v) finding a new normal. CONCLUSION: There was a need to improve communication between clinicians and these families, improve information provision, and overcome barriers to conversing with children within these outpatient consultations. Children and their parents should be supported to voice their current needs and concerns regarding their HRQoL. These findings will inform further development of the UK version of the 'KLIK' patient- and parent-reported outcome (PROM) portal.

Cerebrospinal fluid cytology in a case of epithelioid glioblastoma.

Epithelioid glioblastoma (eGB) is a rare GB subtype exhibiting characteristic morphology and genetic alterations. The efficacy of BRAF and MEK-1/2 inhibitors is demonstrated in eGB treatment, and therefore, considering eGB is important to enhance patient care and prognosis.

O-ARM navigation in tubular retractor-assisted minimal invasive parafascicular approach: technical note.

Trans-sulcal minimally invasive parafascicular surgery is an emerging technique to approach deep lesions with minimal brain retraction. Localization of the tubular retractor during surgery is critical, and intraoperative magnetic resonance imaging and neuronavigation present limitations. We describe the intraoperative use of O-Arm® coupled with pre-operative tractography to precisely localize the tubular retractor. With air acting as contrast, the tubular retractor was localized in three dimensions, without any additional disruption to white matter tracts or nearby vascular structures. We conclude that visualization of tubular retractor using an intraoperative computerized tomography scan is a safe and feasible adjunct in resection of deep lesions via a minimally invasive approach.

Molecular and Pathological Features of Paediatric High-Grade Gliomas.

Paediatric high-grade gliomas are among the most common malignancies found in children. Despite morphological similarities to their adult counterparts, there are profound biological and molecular differences. Furthermore, and thanks to molecular biology, the diagnostic pathology of paediatric high-grade gliomas has experimented a dramatic shift towards molecular classification, with important prognostic implications, as is appropriately reflected in both the current WHO Classification of Tumours of the Central Nervous System and the WHO Classification of Paediatric Tumours. Emphasis is placed on histone 3, IDH1, and IDH2 alterations, and on Receptor of Tyrosine Kinase fusions. In this review we present the current diagnostic categories from the diagnostic pathology perspective including molecular features.

Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning.

Brain tumours are the most commonly occurring solid tumours in children, albeit with lower incidence rates compared to adults. However, their inherent heterogeneity, ethical considerations regarding paediatric patients, and difficulty in long-term follow-up make it challenging to gather large homogenous datasets for analysis. This study focuses on the development of a Convolutional Neural Network (CNN) for brain tumour characterisation using the adult BraTS 2020 dataset. We propose to transfer knowledge, from models pre-trained on extensive adult brain tumour datasets to smaller cohort datasets (e.g., paediatric brain tumours) in future studies, by leveraging Transfer Learning (TL). This approach aims to extract relevant features from pre-trained models, addressing the limited availability of annotated paediatric datasets and enhancing tumour characterisation in children. The implications and potential applications of this methodology in paediatric neuro-oncology are discussed.