Intraoperative mapping and preservation of executive functions in awake craniotomy: a systematic review.

Awake craniotomy (AC) allows intraoperative brain mapping (ioBM) for maximum lesion resection while monitoring and preserving neurological function. Conventionally, language, visuospatial assessment, and motor functions are mapped, while the assessment of executive functions (EF) is uncommon. Impaired EF may lead to occupational, personal, and social limitations, thus, a compromised quality of life. A comprehensive literature search was conducted through Scopus, Medline, and Cochrane Library using a pre-defined search strategy. Articles were selected after duplicate removal, initial screening, and full-text assessment. The demographic details, ioBM techniques, intraoperative tasks, and their assessments, the extent of resection (EOR), post-op EF and neurocognitive status, and feasibility and potential adverse effects of the procedure were reviewed. The correlations of tumor locations with intraoperative EF deficits were also assessed. A total of 13 studies with intraoperative EF assessment of 351 patients were reviewed. Awake-asleep-awake protocol was most commonly used. Most studies performed ioBM using bipolar stimulation, with a frequency of 60 Hz, pulse durations ranging 1-2 ms, and intensity ranging 2-6 mA. Cognitive function was monitored with the Stroop task, spatial-2-back test, line-bisection test, trail-making-task, and digit-span tests. All studies reported similar or better EOR in patients with ioBM for EF. When comparing the neuropsychological outcomes of patients with ioBM of EF to those without it, all studies reported significantly better EF preservation in ioBM groups. Most authors reported EF mapping as a feasible tool to obtain satisfactory outcomes. Adverse effects included intraoperative seizures which were easily controlled. AC with ioBM of EF is a safe, effective, and feasible technique that allows satisfactory EOR and improved neurocognitive outcomes with minimal adverse effects.

Patient-resident physician communication - a qualitative study to assess the current state, challenges and possible solutions.

BACKGROUND: Patients perceive effective patient-doctor communication as an important metric when evaluating their satisfaction with health systems. Hence, optimal patient-physician communication is fundamental for quality healthcare. High-income countries (HICs) have extensively studied patient-resident communication. However, there is a dearth of similar studies in low- and middle-income countries (LMICs). Therefore, we aimed to explore the current state of and barriers to practicing good patient-resident communication and explore possible solutions to mitigate these challenges at one of the largest Academic Medical Centers in an LMIC. METHODS: This study employed an exploratory qualitative study design and was conducted at the Aga Khan University Hospital in Pakistan. Through purposive maximum variation sampling, 60 healthcare workers from diverse cohorts, including attendings, fellows, residents, and medical students, participated in eight focus group discussions. RESULTS: We identified three key themes from the data: Status-quo of residents' communication skills and learning (Poor verbal and non-verbal communication, inadequate training programs, and variable sources of learning), Barriers to effective communication (Institutional barriers such as lack of designated counselling spaces, lack of resident insight regarding effective communication and deficits in intra-team communication), and the need for developing a communication skills curriculum (Design, implementation and scaling to other cohorts of healthcare workers). CONCLUSIONS: Findings from this study show that multifaceted factors are responsible for inadequate patient resident-physician communication, highlighting the need for and importance of developing a formal communication skills training curriculum for residents. These insights can be used to create standardized training for equipping residents with adequate skills for effectively communicating with patients which can improve healthcare service delivery and patient outcomes.

Artificial intelligence- image learning and its applications in neurooncology: a review.

Image learning involves using artificial intelligence (AI) to analyse radiological images. Various machine and deeplearning- based techniques have been employed to process images and extract relevant features. These can later be used to detect tumours early and predict their survival based on their grading and classification. Radiomics is now also used to predict genetic mutations and differentiate between tumour progression and treatment-related side effects. These were once completely dependent on invasive procedures like biopsy and histopathology. The use and feasibility of these techniques are now widely being explored in neurooncology to devise more accurate management plans and limit morbidity and mortality. Hence, the future of oncology lies in the exploration of AI-based image learning techniques, which can be applied to formulate management plans based on less invasive diagnostic techniques, earlier detection of tumours, and prediction of prognosis based on radiomic features. In this review, we discuss some of these applications of image learning in current medical dynamics.

Role of Machine Learning in Liquid Biopsy of Brain Tumours.

Liquid biopsy has multiple benefits and is used extensively in other fields of oncology, but its role in neuro-oncology has been limited so far. Multiple tumour-derived materials like circulating tumour cells (CTCs), tumour-educated platelets (TEPs), cell-free DNA (cfDNA), circulating tumour DNA (ctDNA), and miRNA are studied in CSF, blood (plasma, serum) or urine. Large and complex amounts of data from liquid biopsy can be simplified by machine learning using various algorithms. By using this technique, we can diagnose brain tumours and differentiate low versus highgrade glioma and true progression from pseudo-progression. The potential of liquid biopsy in brain tumours has not been extensively studied, but it has a bright future in the coming years. Here, we present a literature review on the role of machine learning in liquid biopsy of brain tumours.

Developing a non-cadaveric brain tumour surgery lab in resource-constrained settings.

OBJECTIVE: To develop the country's first brain tumour surgery lab in resource-constrained settings, for training young neurosurgeons and residents. METHODS: A workshop was developed using mixed-fidelity models for assessing and training a participant's psychomotor skills, hand-eye coordination, and teaching the principles of brain tumour surgery. Affordable noncadaveric models were used to compare and contrast the benefit of each teaching model. Within the existing space for wet labs at our institution, 8 different dissection stations were set up with adequate space for 2 people to work at a time. Each station was equipped with an operating room-Caliber microscope, a lighting system and a camera linked to a screen and high-powered electric drills and basic surgical equipment. RESULTS: Our team was able to develop and use 3D-printed skull models and animal brain models for training in complex approaches and craniotomy. CONCLUSIONS: Surgical simulation training, in a cost-effective manner, provides the benefit of training residents and students in neurosurgical techniques in a safe, controlled environment leading to improvement in skills and technique.

Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries.

Brain tumour diagnosis involves assessing various radiological and histopathological parameters. Imaging modalities are an excellent resource for disease monitoring. However, manual inspection of imaging is laborious, and performance varies depending on expertise. Artificial Intelligence (AI) driven solutions a non-invasive and low-cost technology for diagnostics compared to surgical biopsy and histopathological diagnosis. We analysed various machine learning models reported in the literature and assess its applicability to improve neuro-oncological management. A scoping review of 47 full texts published in the last 3 years pertaining to the use of machine learning for the management of different types of gliomas where radiomics and radio genomic models have proven to be useful. Use of AI in conjunction with other factors can result in improving overall neurooncological management within LMICs. AI algorithms can evaluate medical imaging to aid in the early detection and diagnosis of brain tumours. This is especially useful where AI can deliver reliable and efficient screening methods, allowing for early intervention and treatment.

Consensus guidelines for the management of intracranial metastases for low- and middle-income countries.

Metastatic tumours are among the most common types of brain tumours. However, in low- and middle-income countries (LMICs), the numbers are considerably lower. This does not necessarily indicate a decreased incidence but rather points to decreased survival rates or limited access to healthcare. The challenge of achieving better outcomes, along with associated costs and resource constraints, often hinders the effective management of brain metastasis. Even in cases where localised disease can potentially be managed to improve survival, these challenges persist. The purpose of these guidelines is to address these challenges and outline a management strategy within the context of LMICs.

Consensus guidelines for the management of intracranial meningioma for low- and middle-income countries.

Intra-cranial meningiomas represent the most common type of extra-axial brain tumour in adults. Characteristically slow-growing and often asymptomatic, these tumours may only require observation in some cases. However, lesions that cause a significant mass effect necessitate intervention, primarily through surgical means. Additionally, in cases of significant unresectable low-grade residual meningioma or high-grade tumours, radiation therapy becomes essential. Notably, current management guidelines predominantly reflect data derived from high-income countries, failing to address constraints prevalent in the developing world, such as limited financial resources and restricted access to advanced surgical facilities. This manuscript introduces guidelines specifically tailored for the management of meningioma in patients from low- and middle-income countries, considering their unique healthcare challenges and resources.

Consensus guidelines for the management of primary central nervous system lymphoma for low and middle-income countries.

Primary lymphoma of the central nervous system (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma primarily involving the brain, spinal cord, cerebrospinal fluid, and eyes. The role of surgical intervention in PCNSL is currently limited to biopsy and decompression of critical structures if needed - extended resection is debated. Chemotherapy is the mainstay of treatment. In lower and middle-income countries (LMICs), issues like delayed diagnosis and resource constraints are widespread. These guidelines provide a framework for addressing PCNSL in LMICs, emphasizing the importance of early diagnosis, tailored treatment approaches, and ongoing patient monitoring to improve outcomes for this rare and aggressive disease.

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.

Role of neurosurgeons In strengthening paediatric neuro-oncology In low- and middle-income countries: a narrative review with case examples.

Paediatric neuro-oncology in low- and middle-income countries (LMICs) accounts for a significant proportion of cancer-related mortalities in this age group. The current dearth of structured paediatric neurosurgery training programmes in LMICs requires multidisciplinary coordination; neurosurgeons play certain key roles, as discussed in this article, in ensuring safe and effective care for paediatric neuro-oncology patients. This document intends to elaborate through illustrative cases of the technical and structural nuances required by neurosurgeons in LMICs to provide appropriate surgical care.

Consensus guidelines for the management of pineal region tumours for low- and middle-income countries.

Pineal region tumours are rare and mainly arise at a younger age. They can be categorized into various types: germ cell tumours (GCT), pineal parenchymal tumours (PPT), meningiomas, gliomas, pineoblastoma, pineal parenchymal tumours of intermediate differentiation, papillary tumours of the pineal region, and SMARCB1- mutant desmoplastic myxoid tumour. Within GCT, germinomas are the most prevalent, comprising the majority of tumours in this region, while nongerminomatous GCTs are also present. In rare instances, metastases from other sites may manifest. These tumours often lead to obstructive hydrocephalus and commonly exhibit symptoms related to mass effect, including headache, nausea, vomiting, and impaired gait stability. Different subtypes of pineal region tumours exhibit distinct radiological characteristics, thus imaging remains the primary diagnostic tool. Histologic diagnosis necessitates biopsy, unless in cases of germ cell tumours, particularly germinomas, which can be identified through elevated levels of tumour markers like alpha-fetoprotein (AFP) and human chorionic gonadotropin (HCG) in both cerebrospinal fluid (CSF) and serum. While benign tumours might be effectively treated with radical resection alone, malignant tumours demand additional chemotherapy and radiotherapy following surgical removal.

Consensus guidelines for the management of primary supra-tentorial intraventricular tumour for low- and middle-income countries.

Almost any primary or metastatic brain tumour can manifest in intraventricular (IV) locations. These tumours may either originate within the ventricular system or extend into the IV space through growth. Such neoplasms represent a broad spectrum, with supratentorial IV tumours forming a heterogeneous group. This group includes primary ependymal tumours, central neurocytomas, choroid plexus tumours, and notably, meningiomas, as well as a variety of non-neoplastic, benign, glial, and metastatic lesions that can secondarily invade the IV compartment. Often presenting with nonspecific symptoms, these tumours can lead to delayed medical attention. The diversity in potential diagnoses, combined with their deep and complex locations, poses significant management challenges. This paper aims to delineate optimal management strategies, underscoring the importance of multidisciplinary care, especially in settings with limited resources, to effectively navigate the complexities associated with treating intraventricular brain tumours.

Consensus guidelines for the management of brain stem and diffuse midline glioma for low- and middle-income countries.

The understanding of brainstem gliomas and diffuse midline gliomas has significantly increased in the last decade. However, the management paradigm remains a dilemma. The critical location is the foremost factor dictating the outcome. Recent advancements in the field of neuro-oncology are pushing the boundaries of optimal care in the developed world nevertheless, the strategies in low- and middle-income countries (LMICs) need to be tailored according to the resources to improve outcome. The objective of these guidelines is to provide an algorithm-based management plan to cater challenges for healthcare providers in LMICs.

Quality of life in children operated for spina bifida; low- and middle-income country perspective.

INTRODUCTION: Spina bifida is a potentially disabling congenital condition and affects the quality of life (QOL). We aimed to assess clinical outcomes and QOL in children who underwent spina bifida repair at our hospital. METHODS: This was a retrospective cohort study on children who underwent spina bifida repair at our hospital over 10 years. Phone calls were made to parents of the children, and the Health Utility Index Mark 3 (HUI 3) score was used to assess QoL, and degree of disability. Demographics and clinical data were obtained from the medical chart review. Statistical analysis was done using SPSS (version 21). RESULTS: Eighty children with a median age of 1.1 months (IQR 0.03-2.0) at the time of presentation, were included in this study. The mean follow-up period was 6.04 ± 2.54 years and the median HUI-3 score was 0.64 (IQR: 0.40 - 0.96) on a scale of 0 (dead) to 1 (perfectly healthy). Based on the severity of disability, 12 (23.1%) children had mild disability, 4 (7.7%) had moderate disability, and 23 (44.2%) had severe disability. Factors including a leaking spina bifida and paraplegia at presentation; radiological findings of hydrocephalus and Chiari malformation, were associated with a significantly low QOL. Children who required CSF diversion (EVD/ VP shunt) during the repair or at a later stage also had significantly low QOL. CONCLUSION: In LMIC, children with myelomeningocele (MMC) born with lower limb weakness, hydrocephalus, Chiari malformation, and those presenting with leaking MMC, have a significantly low QoL at a mean follow-up of 6 years.

Leveraging the vantage point - exploring nurses' perception of residents' communication skills: a mixed-methods study.

INTRODUCTION: Effective communication is key to a successful patient-doctor interaction and improved healthcare outcomes. However, communication skills training in residency is often subpar, leading to inadequate patient-physician communication. There is a dearth of studies exploring the observations of nurses - key members of healthcare teams with a special vantage point to observe the impact of residents' communication with patients. Thus, we aimed to gauge the perceptions of nurses regarding residents' communication skills expertise. METHODS: This study employed a sequential mixed-methods design, and was conducted at an academic medical center in South Asia. Quantitative data was collected via a REDCap survey using a structured validated questionnaire. Ordinal logistic regression was applied. For qualitative data, In-depth interviews were conducted with nurses using a semi-structured interview guide. RESULTS: A total of 193 survey responses were obtained from nurses hailing from various specialties including Family Medicine (n = 16), Surgery (n = 27), Internal Medicine (n = 22), Pediatrics (n = 27), and Obstetrics/Gynecology (n = 93). Nurses rated long working hours, infrastructural deficits, and human failings as the main barriers to effective patient-resident communication. Residents working in in-patient settings were more likely to have inadequate communication skills (P-value = 0.160). Qualitative data analysis of nine in-depth interviews revealed two major themes: existing status-quo of residents' communication skills (including deficient verbal and non-verbal communication, bias in patient counselling and challenging patients) and recommendations for improving patient-resident communication. CONCLUSION: The findings from this study highlight significant gaps in patient-resident communication from the perception of nurses and identify the need for creating a holistic curriculum for residents to improve patient-physician interaction.

Stem Cells for Spinal Cord Injury - Are we Closer to Clinical Application in Humans?

Recovery after spinal cord injury (SCI) is highly variable, often leaving the victim disabled for life and having to deal with the complications of paraplegia. Stem cell therapy is a potential hope for these patients. Most of the research on use of stem cells for SCI has been on animal models in laboratories. Some recent clinical trials involving human subjects have shown positive outcomes with regards to tissue growth after transplantation, but meaningful functional recovery is yet to be seen. The emergence of lumbar cord simulation is a new approach and the recent identification of recovery organizing interneurons points to a pathway that could integrate neuromodulation with cellular therapy.

Effect of post-operative infections on glioblastoma outcomes.

Glioblastoma multiforme (GBM) is the most aggressive primary brain tumour with a poor prognosis. The risk of developing a post-operative infection after craniotomy is the highest in GBM patients. Historical beliefs suggest that post-operative infections render a survival advantage in GBM patients, however recent clinical neurosurgical reports involving large multicentric patient cohorts do not support this claim. Nonetheless, the relationship has not been extensively studied which poses the need for further large, scaled studies to determine the association between post-operative infections and survival benefit in GBM patients.

Primary Cardiac Sarcomas: Risk of Brain Metastases and Management.

Primary cardiac neoplasms are very rarely encountered, and the most common type of malignant tumours occurring primarily in the heart are sarcomas. These carry a lethal prognosis on account of their late presentation and aggressive spread. They have a high propensity for cerebral metastases. Such cases are exceptionally uncommon, and till date only a few examples are available. Currently, there is no standard protocol for the management of primary cardiac sarcoma with brain metastases.