AB037. Association between systemic immune-inflammation index with hypercoagulable state in primary brain tumor: a retrospective study in Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.

BACKGROUND: Hypercoagulable state is considered a common complication in brain tumors, which increases the risk of thromboembolic events, leading to mortality and morbidities. Detecting hypercoagulability typically requires expensive tests, such as D-dimer and fibrinogen, which are not accessible in many healthcare facilities in Indonesia. The systemic immune-inflammation index (SII) is known as an inflammation marker that contributes to hypercoagulability in many conditions. SII tests are more affordable and widely available, but there is still not much study that investigates the association between SII and hypercoagulable state in primary brain tumors. This preliminary study aimed to find an association between SII with hypercoagulable state in primary brain tumor conditions. METHODS: We collected data from inpatients diagnosed with primary brain tumors from 2021 to 2023 in Dr. Cipto Mangunkusumo Hospital. Hypercoagulable states were established from high D-dimer serum testing (>660 µg/L). SII was calculated by the following formula: neutrophil counts × platelet counts/lymphocyte counts. Both D-dimer and SII were collected at first admission to the hospital. The receiver operating characteristic (ROC) curve were used to determine the SII cut-off value. Bivariate and multivariate logistic analyses were performed to confirm the association with the incidence of hypercoagulable state. RESULTS: This study enrolled 65 patients with primary brain tumors, 73.8% subjects with hypercoagulable state. A total of 61.5% were female, mean age 47.54±2.02 years. High-grade tumors exhibited a higher prevalence than low-grade tumors (53.8% vs. 46.2%). SII cut-off value determined at 1,343.50 (sensitivity 56.9%, specificity 57.1%). We found no significant association between SII and hypercoagulable state. Multivariate analyses show that duration of brain tumor before 6 months (P=0.04), and history of brain tumor surgery (P=0.02) were significantly associated with the incidence of hypercoagulable state in primary brain tumor. CONCLUSIONS: Based on the findings in this investigation, we find 73.8% subjects with hypercoagulable states in primary brain tumor. No significant relationship between high SII and hypercoagulable states but significant association of duration brain tumor before 6 months and history of brain tumor surgery with hypercoagulable state in primary brain tumor.

The Prognostic Utility of Frailty on the Outcomes of Primary Brain Tumor Surgery Patients: A Meta-Analysis.

BACKGROUND: Frailty refers to a state of weakness that can arise due to age or illnesses, and frailty predisposes individuals to several adverse health outcomes. This has been postulated to prognosticate the outcome of various surgeries, including surgeries for primary brain tumors; however, no meta-analysis has validated this finding. METHODS: We conducted a systematic review and meta-analysis to investigate the prognostic utility of frailty for the outcome of primary brain tumor surgery. We performed a systematic search of the PubMed, EMBASE, and SCOPUS databases for studies investigating the ability of frailty to predict the outcome of primary brain tumor surgery. RESULTS: Meta-analysis of the information provided in the thirteen studies that made up our sample. Hospital length of stay (effect size 0.94; 95% confidence interval [CI]: 0.37, 1.51; p: 0.00), postoperative complications (effect size 10.31; 95% CI: -5.88, 26.86; p: 0.21), readmission (effect size 0.82; 95% CI: 0.23, 1.41; p: 0.01), nonroutine discharge (effect size 1.07; 95% CI: 0.48, 1.65; 0.00), postoperative mortality (effect size 1.48; 95% CI: 0.81, 2.02; p: 0.00), and overall survival (effect size 1.53; 95% CI: 0.29, 2.76; p: 0.02). CONCLUSIONS: This study showed little correlation with postoperative mortality, readmission, nonroutine discharge, length of hospital stay, or overall survival, and fragility had less significance in these areas but showed no statistical significance in predicting postoperative complications following surgery for primary brain tumors.

The impact of a primary brain tumor diagnosis on caregivers: Insights from the patients' perspective.

PURPOSE: The diagnosis of a primary brain tumor (PBT) causes significant distress for the caregiver-patient dyad, warranting increased supportive care intervention. Although researchers have previously assessed caregivers' perceptions of their own supportive care needs, no study to date has identified how patients perceive the caregiving experience and/or patients' recommendations for integrating supportive care of caregivers in neuro-oncology. This qualitative study examined caregiver distress as well as caregiver supportive care needs from the patients' perspective to inform future intervention development. METHODS: Adults with PBT (N = 15; Mage = 45; 53% female; 93% White) were divided into four, 90-min focus groups moderated by a clinical neuropsychologist. Patients responded to semi-structured interview questions regarding various supportive care needs throughout the course of disease. Each discussion was transcribed and coded using thematic content analysis and NVivo software. Inter-rater reliability was excellent (MKappa = 0.92, range = 0.85-0.93). RESULTS: Seven distinct codes related to PBT caregivers emerged and were classified into two broader themes: Caregiver Impact (47% of coded content) and Caregiver Support (53% of coded content). Caregiver Impact refers to patients' perspective of the practical and emotional demands of caregiving. Under Caregiver Support, patients cited a strong need for increased support of caregivers, including bereavement care, individual psychotherapy, and joint caregiver-patient dyad sessions. CONCLUSION: Patients with PBT expressed profound concerns regarding the demands of caregiving and its impact on the well-being of their loved ones. Findings emphasize the need for comprehensive dyadic support in neuro-oncology throughout the disease trajectory to enhance the overall quality-of-life for both patients and their caregivers.

Diffusion decrease in normal-appearing white matter structures following photon or proton irradiation indicates differences in regional radiosensitivity.

PURPOSE: Radio(chemo)therapy (RCT) as part of the standard treatment of glioma patients, inevitably leads to radiation exposure of the tumor-surrounding normal-appearing (NA) tissues. The effect of radiotherapy on the brain microstructure can be assessed by magnetic resonance imaging (MRI) using diffusion tensor imaging (DTI). The aim of this study was to analyze regional DTI changes of white matter (WM) structures and to determine their dose- and time-dependency. METHODS: As part of a longitudinal prospective clinical study (NCT02824731), MRI data of 23 glioma patients treated with proton or photon beam therapy were acquired at three-monthly intervals until 36 months following irradiation. Mean, radial and axial diffusivity (MD, RD, AD) as well as fractional anisotropy (FA) were investigated in the NA tissue of 15 WM structures and their dependence on radiation dose, follow-up time and distance to the clinical target volume (CTV) was analyzed in a multivariate linear regression model. Due to the small and non-comparable patient numbers for proton and photon beam irradiation, a separate assessment of the findings per treatment modality was not performed. RESULTS: Four WM structures (i.e., internal capsule, corona radiata, posterior thalamic radiation, and superior longitudinal fasciculus) showed statistically significantly decreased RD and MD after RT, whereas AD decrease and FA increase occurred less frequently. The posterior thalamic radiation showed the most pronounced changes after RCT [i.e., ΔRD = -8.51 % (p = 0.012), ΔMD = -6.14 % (p = 0.012)]. The DTI changes depended significantly on mean dose and time. CONCLUSION: Significant changes in DTI for WM substructures were found even at low radiation doses. These findings may prompt new radiation dose constraints sparing the vulnerable structures from damage and subsequent side-effects.

Factors associated with changes in the quality of life and family functioning scores of primary caregivers of children and young people with primary brain tumors in Karachi, Pakistan: a prospective cohort study.

BACKGROUND: There are limited data available, particularly in low- and middle-income countries (LMICs), on the long-term quality of life (QoL) and family functioning of primary caregivers of children and young people (CYPs) affected by primary brain tumors (PBTs). This study aimed to assess the factors associated with the mean change in QoL and family functioning scores of primary caregivers of CYP patients with PBTs 12 months posttreatment. METHODS: This prospective cohort study enrolled CYPs aged 5-21 years with newly diagnosed PBTs and their primary caregivers. The study was carried out between November 2020 and July 2023. The primary caregivers of CYPs were recruited from two major tertiary care centers in Karachi, Pakistan. The primary caregivers QoL were assessed by the Pediatric Quality of Life Inventory (PedsQL) Family Impact Module. The assessment was undertaken by a psychologist at the time of diagnosis and 12 months posttreatment. The data were analyzed with STATA version 12. RESULTS: Forty-eight CYPs with newly diagnosed PBTs and their primary caregivers (46 mothers and 2 fathers) were enrolled. At 12 months posttreatment, 25 (52%) CYPs and their primary caregivers (mothers) were reassessed, and 23 (48%) were lost to follow-up. On multivariable analysis, a significant decrease in mothers' mean 12-month posttreatment QoL and family functioning scores was associated with CYP having posttreatment seizures (beta= -10.2; 95% CI: -18.4 to -2.0) and with the financial burden associated with the CYP's illness (beta= -0.3; 95% CI: -0.4 to -0.1). However, in those cases where CYP had higher posttreatment quality of life scores (beta = 0.4; 95% CI = 0.1, 0.6) and posttreatment higher verbal intelligence scores (beta = 0.1; 95% CI = 0.01, 0.3), the mothers' QoL and family functioning scores were significantly greater. CONCLUSION: We found a significant decrease in QoL of mothers who had a high financial burden and whose CYP had posttreatment seizures. However, those whose CYPs had higher posttreatment verbal intelligence scores and quality of life scores had significantly greater QoL scores. Identification of the factors that influence primary caregivers QoL has the potential to aid in the development of targeted strategies to alleviate stressors and improve the overall quality of life for primary caregivers and their children who are at high risk.

The relationship between social determinants of health and neurocognitive and mood-related symptoms in the primary brain tumor population: A systematic review.

Social determinants of health (SDOH) impact cancer-related health outcomes, including survival, but their impact on symptoms is less understood among the primary brain tumor (PBT) population. We conducted a systematic review to examine the relationships between SDOH and neurocognitive and mood-related symptoms among the PBT population. PubMed, EMBASE, and CINAHL were searched using PROGRESS criteria (place of residence, race/ethnicity, occupation, gender/sex, religion, education, socioeconomic status, and social capital) on March 8th, 2022. Two individuals screened and assessed study quality using the NHLBI Assessment Tool for Observational Cohort and Cross-sectional Studies. Of 3006 abstracts identified, 150 full-text articles were assessed, and 48 were included for a total sample of 28 454 study participants. Twenty-two studies examined 1 SDOH; none examined all 8. Four studies measured place of residence, 2 race/ethnicity, 13 occupation, 42 gender, 1 religion, 18 education, 4 socioeconomic status, and 15 social capital. Fifteen studies assessed neurocognitive and 37 mood-related symptoms. While higher education was associated with less neurocognitive symptoms, and among individuals with meningioma sustained unemployment after surgery was associated with depressive symptoms, results were otherwise disparate among SDOH and symptoms. Most studies were descriptive or exploratory, lacking comprehensive inclusion of SDOH. Standardizing SDOH collection, reducing bias, and recruiting diverse samples are recommended in future interventions.

Survival of Patients with Primary Brain Tumor: A Data Analysis of 10 Years.

BACKGROUND: The prognosis for primary brain tumors, like other CNS tumors, can vary greatly based on several factors, such as treatment history, age and gender at diagnosis, ethnic background, and treatment plan. MATERIALS AND METHODS: A systematic review approach was used to gather relevant data from PubMed, ScienceDirect, Google Scholar, and other sources. RESULTS: The survival rate of primary brain tumors and other CNS tumors appears to be correlated with several variables, including treatment history, gender, age at evaluation, race/ethnicity, and treatment regimen; this emphasizes the importance of routinely updating epidemiological data on primary brain tumors to advance biological understanding. CONCLUSION: This study draws attention to the variations in the median survival times of the various kinds of primary brain tumors, with oligodendroglioma having the longest median survival time (199 months, or approximately 16.6 years) and glioblastoma having the shortest (8 months).

Molecular characterization and survival analysis of a cohort of glioblastoma, IDH-wildtype.

Glioblastoma, IDH-wild type, the most common malignant primary central nervous system tumor, represents a formidable challenge in clinical management due to its poor prognosis and limited therapeutic responses. With an evolving understanding of its underlying biology, there is an urgent need to identify prognostic molecular groups that can be subject to targeted therapy. This study established a cohort of 124 sequential glioblastomas from a tertiary hospital and aimed to find correlations between molecular features and survival outcomes. Comprehensive molecular characterization of the cohort revealed prevalent alterations as previously described, such as TERT promoter mutations and involvement of the PI3K-Akt-mTOR, CK4/6-CDKN2A/B-RB1, and p14ARF-MDM2-MDM4-p53 pathways. MGMT promoter methylation is a significant predictor of improved overall survival, aligned with previous data. Conversely, age showed a marginal association with higher mortality. Multivariate analysis to account for the effect of MGMT promoter methylation and age showed that, in contrast to other published series, this cohort demonstrated improved survival for tumors harboring PTEN mutations, and that there was no observed difference for most other molecular alterations, including EGFR amplification, RB1 loss, or the coexistence of EGFR amplification and deletion/exon skipping (EGFRvIII). Despite limitations in sample size, this study contributes data to the molecular landscape of glioblastomas, prompting further investigations to examine these findings more closely in larger cohorts.

Relations Between Posttraumatic Growth and Fear of Progression Among Young and Middle-Aged Primary Brain Tumor Patients: The Parallel Mediating Role of Perceived Social Support and Illness Uncertainty.

OBJECTIVE: This study aimed to investigate the mediating role of perceived social support and illness uncertainty in posttraumatic growth (PTG) and fear of progression (FoP) among young and middle-aged primary brain tumor (PBT) patients. METHODS: A total of 252 young and middle-aged benign PBT patients were investigated. Data were collected by using self-designed general and disease-related data questionnaires, PTG Inventory, FoP Questinaire-Short Form, Mischel Uncertainty in Illness Scale, and Perceived Social Support Scale. Parallel mediation effect models were used to explore the relationship between PTG and FoP mediation effects. Bootstrap analysis was conducted to examine the mediation effect of PTG on FoP. RESULTS: The total FoP and PTG scores were 35.15 ± 4.85 and 55.04 ± 7.86. Furthermore, mediation effect analyses revealed that perceived social support and illness uncertainty were partially associated with the mediated relationship between PTG and FoP. (std.ß = -0.026, P-value = 0.001, std. ß = -0.393, P value ＜0.001, respectively). CONCLUSIONS: Illness uncertainty and perceived social support were identified as partially parallel mediators between PTG and FoP. Thus, we should ensure adequate social support and improve the enthusiasm and input of family members for better patient recovery. Strengthening the nursing support, reducing the uncertainty of young and middle-aged PBT patients, and improving the patients' PTG can help reduce the fear of disease progression.

Predictors of neurocognition outcomes in children and young people with primary brain tumor presenting to tertiary care hospitals of Karachi, Pakistan: a prospective cohort study.

INTRODUCTION: Primary brain tumors are a common cause of morbidity and mortality in children and young people (CYP) globally. Impaired neurocognitive function is a potential severe consequence in primary brain tumor (PBT) survivors. There are no in-depth studies from low- and middle-income countries (LMICs) to inform management and follow-up. The research questions of this study were as follows: Are the sociodemographic factors (lower age of CYP, female gender, low socioeconomic status, low parental education), disease-related factors (high grade of tumor, presence of seizures, presence of hydrocephalous), and treatment-related factors (adjuvant therapy, no surgical intervention, post-treatment seizures, placement of shunts) associated with decline in neurcognition outcomes 12 months post-treatment in CYP with PBTs? METHODS: A prospective cohort study was conducted from November 2020 to July 2023 at the Aga Khan University Hospital and Jinnah Postgraduate Medical Centre, tertiary care hospitals in Karachi, Pakistan. All CYP aged 5 to 21 years with a newly diagnosed PBTs were eligible. The neurocognition assessment was undertaken by a psychologist at two points, i.e., pre-treatment and at 12 months post-treatment using validated tools. The verbal intelligence was assessed by Slosson Intelligence tool, revised 3rd edition (SIT-R3), perceptual reasoning by Raven's Progressive Matrices (RPM), and the Processing Speed Index by Wechsler Intelligence Scale (WISC V) and Wechsler Adult Intelligence Scale (WAIS-IV). The data were analyzed by STATA version 12 software. Generalized estimating equation (GEE) was used to determine the factors associated with the mean change in 12 months post-treatment verbal and non-verbal neurocognition scores. Unadjusted and adjusted beta coefficients with their 95% confidence intervals were reported. RESULTS: A total of 48 CYPs with PBTs were enrolled, 23 (48%) of them were lost to follow-up and 10 (21%) died. The remaining 25 (52%) were reassessed 12 months after treatment. On multivariable analysis, a significant decline in verbal intelligence scores at 12 months was predicted by post-treatment seizures beta = - 20.8 (95% CI, - 38.2, - 3.4), mothers having no formal educational status and lower household monthly income. Similarly, a significant decline in perceptual reasoning scores was also predicted by post-treatment seizures beta = - 10.7 (95% CI, - 20.6, - 0.8), mothers having no formal education and having lower household monthly income. Worsening of processing speed scores at 12 months post-treatment were predicted by tumor histology, post-treatment seizures beta = - 33.9 (95% CI, - 47.7, - 20.0), lower educational status of the mother, and having lower household monthly. However, an improvement was seen in processing speed scores after surgical tumor resection. CONCLUSION: In this novel study, the post-treatment mean change in verbal and non-verbal neurocognition scores was associated with sociodemographic, tumor, and treatment factors. These findings may have potential implications for targeted early psychological screening of higher risk CYP with PBTs. Identification of these predictors may serve as a foundation for developing more cost-effective treatment thereby alleviating the burden of neurocognitive morbidity. However to establish generalizability, future research should prioritize larger-scale, multicountry studies. (Trial registration: ClinicalTrials.gov Identifier: NCT05709522).

Primary brain tumor representation in the post-traumatic growth literature: A scoping review.

Background: Post-traumatic growth (PTG) has been extensively explored within general oncology, yet little is known about the experience of PTG in neuro-oncology. This study aimed to determine the representation of patients with primary brain tumors (PBT) in the PTG literature. Methods: PsycINFO, PubMed, and CINAHL were systematically searched from inception to December 2022. Search terms were related to personal growth and positive reactions to cancer. Articles were first screened by titles and abstracts, then full texts were reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. Results: A total of 382 articles met the inclusion criteria. Of those, 13 included patients with PBT. Over 100 000 cancer patients were represented, with 0.79% having a PBT. Most research focused on low-grade gliomas. PTG negatively correlated with post-traumatic stress symptoms and avoidant coping. In the sole longitudinal study, patients with PBT demonstrated improved PTG after 1 year. Three quasi-experimental studies investigated the effect of mindfulness-based interventions with mixed-cancer samples and demonstrated improvement in PTG. Conclusions: The inclusion rate of patients with PBT in the PTG literature was significantly lower than the population prevalence rate (1.3% of cancer diagnoses). Relatively few studies focused exclusively on how patients with PBT experience PTG (k = 5), and those that did only included low-grade glioma. The experience of PTG in those with high-grade glioma remains unknown. Patients with PBT are scarcely included in research on PTG interventions. Few studies examined the relationship between PTG and medical, cognitive, or psychological characteristics. Our understanding of the PTG experience in neuro-oncology remains extremely limited.

Social cognition in adult survivors of brain tumors: studying the relationship between theory of mind and quality of life.

OBJECTIVE: The present study is the first to examine theory of mind (ToM) sequelae in a sample of adult survivors of primary brain tumors, and to investigate the assumed relationship between ToM and health-related quality of life (HRQoL). METHOD: Participants were 40 long-term adult survivors of primary brain tumors and 40 matched healthy controls. They completed ToM tests (Faux-Pas test and Advanced ToM task) and two questionnaires assessing HRQoL (36-Item Short-Form Health Survey and EORTC QLQ-C30/QLQ-BN20). Their relatives also completed an observer-rated version of the SF-36 questionnaire. RESULTS: Survivors performed worse than controls only on the Advanced ToM task. Overall, patients and caregivers reported more problems than healthy controls and their relatives regarding both global HRQoL and its social/emotional aspects. No relationship was found between ToM and HRQoL scores. CONCLUSION: Adult survivors of primary brain tumors may exhibit ToM deficits several years after treatment and report more problems on social/emotional HRQoL components. Our findings highlight the need to consider these late effects in survivors' long-term follow-up, even if the clinical involvement of ToM deficits still needs to be elucidated. The assessment of ToM deficits and their potential impact on survivors' everyday life is thoroughly discussed.

Telehealth group Cognitive-Behavioral Therapy for Insomnia (CBT-I) in primary brain tumor: Primary outcomes from a single-arm phase II feasibility and proof-of-concept trial.

BACKGROUND: Cognitive-Behavioral Therapy for Insomnia (CBT-I), the frontline treatment for insomnia, has yet to be evaluated among patients with primary brain tumors (PwPBT) despite high prevalence of sleep disturbance in this population. This study aimed to be the first to evaluate the feasibility, safety, and acceptability of implementing telehealth group CBT-I as well as assessing preliminary changes in subjective sleep metrics in PwPBT from baseline to follow-up. METHODS: Adult PwPBT were recruited to participate in six 90-min telehealth group CBT-I sessions. Feasibility was assessed by rates of screening, eligibility, enrollment, and data completion. Safety was measured by participant-reported adverse events. Acceptability was assessed by retention, session attendance, satisfaction, recommendation of program to others, and qualitative feedback. Participant subjective insomnia severity, sleep quality, and fatigue were assessed at baseline, post intervention, and 3-month follow-up. RESULTS: Telehealth group CBT-I was deemed safe. Following the 76% screening rate, 85% of interested individuals met study eligibility and 98% enrolled (N = 44). Ninety-one percent of enrolled participants completed measures at baseline, 79% at post intervention, and 73% at 3-month follow-up. Overall, there was an 80% retention rate for the 6-session telehealth group CBT-I intervention. All participants endorsed moderate-to-strong treatment adherence and 97% reported improved sleep. Preliminary pre-post intervention effects demonstrated improvements in subjective insomnia severity, sleep quality, and fatigue with large effect sizes. These effects were maintained at follow-up. CONCLUSIONS: Results of this proof-of-concept trial indicate that telehealth group CBT-I is feasible, safe, and acceptable among PwPBT, providing support for future randomized controlled pilot trials.

Late-onset vascular complications of radiotherapy for primary brain tumors: a case-control and cross-sectional analysis.

PURPOSE: Radiotherapy (RT) is a recognized risk factor for cerebrovascular (CV) disease in children and in adults with head and neck cancer. We aimed to investigate whether cerebral RT increases the risk of CV disease in adults with primary brain tumors (PBT). METHODS: We retrospectively identified adults with a supratentorial PBT diagnosed between 1975 and 2006 and with at least 10 years follow-up after treatment. We analyzed demographic, clinical, and radiological features with special attention to CV events. We also described CV events, vascular risk factors, and intracranial artery modifications in a cross-sectional study of irradiated patients alive at the time of the study. RESULTS: A total of 116 patients, treated with RT (exposed group), and 85 non-irradiated patients (unexposed group) were enrolled. Stroke was more frequent in irradiated PBT patients than in the unexposed group (42/116 (36%) vs 7/85 (8%); p < 0.001), with higher prevalence of both ischemic (27/116 (23%) vs 6/85 (7%); p = 0.004) and hemorrhagic (12/116 (10%) vs 1/85 (1%); p = 0.02) stroke. In the irradiated group, patients with tumors near the Willis Polygon were more likely to experience stroke (p < 0.016). Fourty-four alive irradiated patients were included in the cross-sectional study. In this subgroup, intracranial arterial stenosis was more prevalent (11/45, 24%) compared to general population (9%). CONCLUSIONS: Stroke prevalence is increased in long-surviving PBT patients treated with cranial RT. IMPLICATIONS FOR CANCER SURVIVORS: CV events are frequent in long survivors of PBT treated with cerebral RT. We propose a check list to guide management of late CV complications in adults treated with RT for PBT.

Diffuse Leptomeningeal Glioneuronal Tumor: First Description of Metastasis to the Lung and Bone Marrow.

Diffuse leptomeningeal glioneuronal tumor (DLGNT) is a rare neoplasm of the central nervous system (CNS) that primarily affects the leptomeninges. However, it can also involve the brain parenchyma and spinal cord. We report the first case of metastasis of this primary CNS tumor to the lung and bone marrow. An 18-year-old male was diagnosed with DLGNT through meningeal biopsy after multiple events of transient neurologic signs and symptoms that included recurrent episodes of encephalopathy, seizures, cerebral vasospasms, cranial nerve palsy, and urinary dysfunction. Five months after diagnosis, the patient presented with pancytopenia and pulmonary effusion. At that time, he was being treated with temozolomide, after radiation treatment to the brain and spinal cord. Bone marrow biopsy and pleural cytology revealed systemic metastases from the primary CNS tumor. He was then treated with chemotherapy with carboplatin and vincristine which improved his condition for two and a half months. Unfortunately, the patient died of a high systemic metastatic burden. Primary CNS tumors rarely produce systemic metastases, and this is the first report of DLGNT with bone marrow and pulmonary metastases. Chemotherapy with carboplatin and vincristine should be considered as a treatment for patients with DLGNT, as the patient presented a systemic response with clinical and radiological improvement.

Predicting the WHO Grading of Pediatric Brain Tumors Based on Their MRI Appearance: A Retrospective Study.

The treatment of central nervous system (CNS) tumors constitutes a significant part of a pediatric neurosurgeon's workload. The classification of such neoplasms spans many entities. These include low- and high-grade lesions, with both occurring in the population of patients under 18 years of age. Magnetic resonance imaging serves as the imaging method of choice for neoplastic lesions of the brain. Through its different modalities, such as T1, T2, T1 C+, apparent diffusion coefficient (ADC), diffusion-weighted imaging (DWI), susceptibility-weighted imaging (SWI), fluid-attenuated inversion recovery (FLAIR), etc., it allows the medical team to plan the therapeutic process accordingly while also possibly suggesting the specific tumor subtype prior to obtaining a definitive histological diagnosis. We conducted a retrospective study spanning 32 children treated surgically for brain tumors between July 2021 and January 2023 who had a precise histological diagnosis determined by using the 2021 WHO Classification of Tumors of the Central Nervous System. We divided them into two groups (high-grade and low-grade tumors, i.e., WHO grades 1 and 2, and grades 3 and 4, respectively) and analyzed their demographic data and preoperative MRI results. This was done using the following criteria: sub or supratentorial location of the tumor; lesion is circumscribed or infiltrating; solid, cystic, or mixed solid and cystic character of the tumor; number of compartments in cystic lesions; signal intensity (hypo-, iso-, hyperintensity sequences: T1, T2, T1 C+); presence of restricted diffusion; the largest diameter of the solid component and/or the largest diameter of the largest cyst in the transverse section. Then, we examined the results to find any correlation between the lesions' morphologies and their final assigned degree of malignancy. We found that the only radiological criteria correlating with the final WHO grade of the tumor were an infiltrative pattern of growth (25% of low-grade lesions, 75% of high-grade; p = 0.006) and the presence of a cystic component in the tumor (in 68.75% of low-grade tumors and 43.75% of high-grade tumors; p = 0.041). The only other feature close to attaining statistical significance was diffusion restriction (33.3% of low-grade tumors, 66.7% high-grade; p = 0.055). Older children tended to present with tumors of lower degrees of malignancy, and there was a predominance of female patients (21 female, 11 male).

AI Deployment on GBM Diagnosis: A Novel Approach to Analyze Histopathological Images Using Image Feature-Based Analysis.

BACKGROUND: Glioblastoma (GBM) is one of the most common malignant primary brain tumors, which accounts for 60-70% of all gliomas. Conventional diagnosis and the decision of post-operation treatment plan for glioblastoma is mainly based on the feature-based qualitative analysis of hematoxylin and eosin-stained (H&E) histopathological slides by both an experienced medical technologist and a pathologist. The recent development of digital whole slide scanners makes AI-based histopathological image analysis feasible and helps to diagnose cancer by accurately counting cell types and/or quantitative analysis. However, the technology available for digital slide image analysis is still very limited. This study aimed to build an image feature-based computer model using histopathology whole slide images to differentiate patients with glioblastoma (GBM) from healthy control (HC). METHOD: Two independent cohorts of patients were used. The first cohort was composed of 262 GBM patients of the Cancer Genome Atlas Glioblastoma Multiform Collection (TCGA-GBM) dataset from the cancer imaging archive (TCIA) database. The second cohort was composed of 60 GBM patients collected from a local hospital. Also, a group of 60 participants with no known brain disease were collected. All the H&E slides were collected. Thirty-three image features (22 GLCM and 11 GLRLM) were retrieved from the tumor volume delineated by medical technologist on H&E slides. Five machine-learning algorithms including decision-tree (DT), extreme-boost (EB), support vector machine (SVM), random forest (RF), and linear model (LM) were used to build five models using the image features extracted from the first cohort of patients. Models built were deployed using the selected key image features for GBM diagnosis from the second cohort (local patients) as model testing, to identify and verify key image features for GBM diagnosis. RESULTS: All five machine learning algorithms demonstrated excellent performance in GBM diagnosis and achieved an overall accuracy of 100% in the training and validation stage. A total of 12 GLCM and 3 GLRLM image features were identified and they showed a significant difference between the normal and the GBM image. However, only the SVM model maintained its excellent performance in the deployment of the models using the independent local cohort, with an accuracy of 93.5%, sensitivity of 86.95%, and specificity of 99.73%. CONCLUSION: In this study, we have identified 12 GLCM and 3 GLRLM image features which can aid the GBM diagnosis. Among the five models built, the SVM model proposed in this study demonstrated excellent accuracy with very good sensitivity and specificity. It could potentially be used for GBM diagnosis and future clinical application.

Patterns and predictors of anxiety and depression symptom trajectories in patients diagnosed with primary brain tumors.

BACKGROUND: Patients with primary brain tumors (pPBTs) often exhibit heightened distress. This study assesses how symptoms of anxiety and depression change over time in pPBTs and identifies factors that may predict patients' symptom trajectories. METHODS: Ninety-nine adult pPBTs completed psychosocial assessments at neuro-oncology appointments over 6-18 months. Quality of life was assessed with the Functional Assessment of Cancer Therapy-Brain; symptoms of anxiety and depression were assessed with the Patient-Reported Outcomes Measurement Information System short forms. The prevalence of patients with clinically elevated symptoms and those who experienced clinically meaningful changes in symptoms throughout follow-up were examined. Linear mixed-effects models evaluated changes in symptoms over time at the group level, and latent class growth analysis (LCGA) evaluated changes in symptoms over time at the individual level. RESULTS: At enrollment, 51.5% and 32.3% of patients exhibited clinically elevated levels of anxiety and depression, respectively. Of patients with follow-up data (n = 74), 54.1% and 50% experienced clinically meaningful increases in anxiety and depression scores, respectively. There were no significant changes in anxiety or depression scores over time, but better physical, functional, and brain-cancer well-being predicted lower levels of anxiety and depression (p < 0.001). Five sub-groups of patients with distinct symptom trajectories emerged via LCGA. CONCLUSIONS: pPBTs commonly experience elevated symptoms of anxiety and depression that may fluctuate in clinically meaningful manners throughout the disease. Routine screening for elevated symptoms is needed to capture clinically meaningful changes and identify factors affecting symptoms to intervene on.

Intradural Intramedullary Spinal Cord Glioblastoma: A Case Report.

Primary spinal cord glioblastoma multiforme (GBM) remains uncommon and typically affects males and patients during their fifth decade of life. Our case demonstrates a 77-year-old woman who initially presented with right arm paresthesia and limited range of motion and was subsequently diagnosed with primary spinal cord GBM. Our case illustrates an atypical and nonspecific neurological presentation highlighting that spinal cord GBM can have a more indolent course, unlike what current literature suggests. It also emphasizes the importance of considering a multimodal approach when managing atypical neurological symptoms and considering an early intervention, including magnetic resonance imaging, to rule out occult neoplasm in an appropriate clinical setting, thus preventing delay in the diagnosis. This case further emphasizes the role of molecular biomarkers of tumors, including isocitrate dehydrogenase mutation as well as methylguanine-DNA methyltransferase promoter methylation status, that can independently guide and affect the treatment outcomes in this patient population.

Evaluation of the telehealth making sense of brain tumor psychological support intervention for people with primary brain tumor and their caregivers: A randomized controlled trial.

OBJECTIVE: This pragmatic randomized control trial aimed to evaluate clinical efficacy of the Making Sense of Brain Tumour program delivered via videoconferencing (Tele-MAST) for improving mental health and quality of life (QoL) relative to standard care in individuals with primary brain tumor (PBT). METHOD: Adults with PBT experiencing at least mild distress (Distress Thermometer ≥4) and caregivers were randomly allocated to the 10-session Tele-MAST program or standard care. Mental health and QoL were assessed pre-intervention, post-intervention (primary endpoint), and 6-weeks and 6-months follow-up. The primary outcome was clinician-rated depressive symptoms on the Montgomery-Asberg Depression Rating Scale. RESULTS: 82 participants with PBT (34% benign, 20% lower-grade glioma, 46% high-grade glioma) and 36 caregivers were recruited (2018-2021). Controlling for baseline functioning, Tele-MAST participants with PBT had lower depressive symptoms at post-intervention (95% CI: 10.2-14.6, vs. 15.2-19.6, p = 0.002) and 6-weeks post-intervention (95% CI: 11.5-15.8 vs. 15.6-19.9, p = 0.010) than standard care, and were almost 4 times more likely to experience clinically reduced depression (OR, 3.89; 95% CI: 1.5-9.9). Tele-MAST participants with PBT also reported significantly better global QoL, emotional QoL and lower anxiety at post-intervention and 6-weeks post-intervention than standard care. There were no significant intervention effects for caregivers. At 6-months follow-up participants with PBT who received Tele-MAST reported significantly better mental health and QoL relative to pre-intervention. CONCLUSIONS: Tele-MAST was found to be more effective for reducing depressive symptoms at post-intervention than standard care for people with PBT but not caregivers. Tailored and extended psychological support may be beneficial for people with PBT.