Racial disparities in recommendations for surgical resection of primary brain tumours: a registry-based cohort analysis

Managing vestibular schwannomas with radiosurgery and radiotherapy: AGREE II appraisal of clinical practice guidelines

INTRODUCTION

Vestibular schwannomas (VSs) are rare, benign intracranial tumours that have prompted clinical practice guideline (CPG) creation given their complex management. Our aim was to utilize the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument to assess if such CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality.

METHODS

Relevant CPGs were identified following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. Experienced reviewers then extracted general CPG properties and rated their quality via the AGREE II instrument. Intraclass correlation coefficients (ICCs) were quantified to assess interrater reliability.

RESULTS

Nine CPGs on the management of VSs with radiosurgery and radiotherapy were identified. All CPGs were created in the past six years and developed recommendations based on literature review and expert consensus. One guideline was deemed as high quality with seven others being moderate and one being low in quality. The clarity of the presentation domain had the highest mean scaled domain score of 96.0%. The domains of stakeholder involvement and applicability had the lowest means of 49.2% and 47.2%, respectively. ICCs were either good or excellent across all domains.

CONCLUSION

Current CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality but would greatly benefit from improvements in applicability, stakeholder involvement, editorial independence and rigour of development. We recommend CPG authors reference the European Association of Neuro-Oncology (EANO) guideline as a developmental framework with the Congress of Neurological Surgeons/American Association of Neurological Surgeons (CNS/AANS) CPG being a valid alternative.

Accurate and rapid molecular subgrouping of high-grade glioma via deep learning-assisted label-free fiber-optic Raman spectroscopy

Molecular genetics is highly related with prognosis of high-grade glioma. Accordingly, the latest WHO guideline recommends that molecular subgroups of the genes, including IDH, 1p/19q, MGMT, TERT, EGFR, Chromosome 7/10, CDKN2A/B, need to be detected to better classify glioma and guide surgery and treatment. Unfortunately, there is no preoperative or intraoperative technology available for accurate and comprehensive molecular subgrouping of glioma. Here, we develop a deep learning-assisted fiber-optic Raman diagnostic platform for accurate and rapid molecular subgrouping of high-grade glioma. Specifically, a total of 2,354 fingerprint Raman spectra was obtained from 743 tissue sites (astrocytoma: 151; oligodendroglioma: 150; glioblastoma (GBM): 442) of 44 high-grade glioma patients. The convolutional neural networks (ResNet) model was then established and optimized for molecular subgrouping. The mean area under receiver operating characteristic curves (AUC) for identifying the molecular subgroups of high-grade glioma reached 0.904, with mean sensitivity of 83.3%, mean specificity of 85.0%, mean accuracy of 83.3%, and mean time expense of 10.6 s. The diagnosis performance using ResNet model was shown to be superior to PCA-SVM and UMAP models, suggesting that high dimensional information from Raman spectra would be helpful. In addition, for the molecular subgroups of GBM, the mean AUC reached 0.932, with mean sensitivity of 87.8%, mean specificity of 83.6%, and mean accuracy of 84.1%. Furthermore, according to saliency maps, the specific Raman features corresponding to tumor-associated biomolecules (e.g. nucleic acid, tyrosine, tryptophan, cholesteryl ester, fatty acid, and collagen) were found to contribute to the accurate molecular subgrouping. Collectively, this study opens up new opportunities for accurate and rapid molecular subgrouping of high-grade glioma, which would assist optimal surgical resection and instant post-operative decision-making.

Priorities for health outcomes in glaucoma in an ethnically diverse UK cohort: an observational study

OBJECTIVES

To assess whether patients from minority ethnic groups have different perceptions about the quality-of-life outcomes that matter most to them.

DESIGN

Cross-sectional observational study.

SETTING

High volume eye centres serving the most ethnically diverse region in the UK, recruiting from July 2021 to February 2022.

PARTICIPANTS

511 patients with primary open-angle glaucoma and the predisease state of ocular hypertension.

MAIN OUTCOME MEASURES

The main outcome was participants' self-reported priorities for health outcomes.

RESULTS

Participants fell into one of four clusters with differing priorities for health outcomes, namely: (1) vision, (2) drop freedom, (3) intraocular pressure and (4) one-time treatment. Ethnicity was the strongest determinant of cluster membership after adjusting for potential confounders. Compared with white patients prioritising vision alone, the OR for black/black British patients was 7.31 (95% CI 3.43 to 15.57, p<0.001) for prioritising drop freedom; 5.95 (2.91 to 12.16, p<0.001) for intraocular pressure; and 2.99 (1.44 to 6.18, p=0.003) for one-time treatment. For Asian/Asian British patients, the OR was 3.17 (1.12 to 8.96, p=0.030) for prioritising intraocular pressure as highly as vision. Other ethnic minority groups also had higher ORs for prioritising health outcomes other than vision alone: 4.50 (1.03 to 19.63, p=0.045) for drop freedom and 5.37 (1.47 to 19.60, p=0.011) for intraocular pressure.

CONCLUSIONS

Ethnicity is strongly associated with differing perceptions about the health outcomes that matter. An individualised and ethnically inclusive approach is needed when selecting and evaluating treatments in clinical and research settings.

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assessing its influence across all facets of malignant brain tumor management- diagnosis, prognosis, and therapy- AI models outperform human evaluations in terms of accuracy and specificity. Their ability to discern molecular aspects from imaging may reduce reliance on invasive diagnostics and may accelerate the time to molecular diagnoses. The review covers AI techniques, from classical machine learning to deep learning, highlighting current applications and challenges. Promising directions for future research include multimodal data integration, generative AI, large medical language models, precise tumor delineation and characterization, and addressing racial and gender disparities. Adaptive personalized treatment strategies are also emphasized for optimizing clinical outcomes. Ethical, legal, and social implications are discussed, advocating for transparency and fairness in AI integration for neuro-oncology and providing a holistic understanding of its transformative impact on patient care.

Epidemiology and survival of patients with spinal meningiomas: a large retrospective cohort study

INTRODUCTION

Spinal meningiomas (SMs) are relatively rare central nervous system tumors that usually trigger neurological symptoms. The prevalence of SMs is increasing with the aging of the global population. This study aimed to perform a systematic epidemiologic and survival prognostic analysis of SMs to evaluate their public health impact and to develop a novel method to estimate the overall survival at 3-year, 5-year, and 10-year in patients with SMs.

METHODS

Five thousand one hundred fifty eight patients with SMs were recruited from the Surveillance, Epidemiology, and End Results (SEER) database from 2000 to 2019. Firstly, descriptive analysis was performed on the epidemiology of SMs. Secondly, these individuals were randomly allocated to the training and validation sets in a ratio of 7:3. Kaplan-Meier method and Cox regression analysis were utilized in the training set to identify independent prognostic factors and to construct a nomogram for survival prognosis. Subsequently, the discriminative power, predictive performance, and clinical utility of the nomogram were evaluated by receiver operating characteristic curve and decision curve analysis. Finally, a mortality risk stratification system and a web-based dynamic nomogram were constructed to quantify the risk of mortality in patients with SMs.

RESULTS

The annual age-adjusted incidence rates of SMs increased steadily since 2004, reaching a rate of 0.40 cases per 100 000 population in 2019, with a female-to-male ratio of ~4:1. The age groups of 50-59, 60-69, and 70-79 years old were the most prevalent ages for SMs, accounting for 19.08, 24.93, and 23.32%, respectively. In addition, seven independent prognostic factors were identified to establish a prognostic nomogram for patients with SMs. The decision curve analysis and receiver operating characteristic curve indicated that the nomogram had high clinical utility and favorable accuracy. Moreover, the mortality risk stratification system effectively divided patients into low-risk, middle-risk, and high-risk subgroups.

CONCLUSIONS

SMs are relatively rare benign spinal tumors prevalent in the white elderly female population. Clinicians could use the nomogram to personalize the prediction of the overall survival probability of patients with SMs, categorize these patients into different mortality risk subgroups, and develop personalized decision-making plans. Moreover, the web-based dynamic nomogram could help to further promote clinical application and assist clinicians in providing personalized counseling, timely monitoring, and clinical assessment for patients.

Disparities in Neuro-Oncology

PURPOSEOF REVIEW

Health disparities are preventable differences in the diagnosis, treatment, and outcomes of many diseases, including central nervous system (CNS) tumors. This review will summarize and compile the existing literature on health disparities in neuro-oncology and provide directions for future research and interventions.

RECENT FINDINGS

Patients from historically marginalized groups are more likely to receive inadequate treatment, develop complications, and experience a shorter life expectancy. Financial toxicity can be particularly severe for patients with CNS tumors due to the high costs of treatment. Additionally, CNS clinical trials and research lack diverse representation.

Sociodemographic Factors in Pituitary Adenomas

Pituitary adenomas have been increasingly detected in recent years, especially in the older population. Black patients have a higher incidence than other racial groups. In patients with functioning tumors, presentation and comorbidities are influenced by age and sex, whereas the impact of ethnoracial background is unclear. Active surveillance recommendation and surgery refusal disproportionally affect Black and older patients. The likelihood of surgery at high-volume centers is lower for patients of Black or Hispanic background, uninsured or with lower socioeconomic status. Multicentric studies are necessary to delineate the influence of sociodemographic factors according to the adenoma type and to address the causes of health care disparities.

Evaluation of Racial, Ethnic, and Socioeconomic Disparities in Indication for Carpal Tunnel Release

BACKGROUND

Disparities in the utilization of orthopaedic surgery based on race and ethnicity continue to be reported. We examined the impact of sociodemographic factors on treatment recommendation by hand surgeons for carpal tunnel syndrome (CTS) of similar disease severity.

METHODS

Patients with electrodiagnostic study (EDS)-confirmed CTS were evaluated at a single institution between 2016 and 2020. Data including patient age, sex, race/ethnicity, ZIP Code, and EDS severity were collected. The primary outcome was the recommended treatment by the hand surgeon at the first clinic visit according to patient race/ethnicity and the Social Deprivation Index (SDI). Secondary outcomes included the treatment selected by patients (nonsurgical or surgical) and the time to surgery.

RESULTS

The 949 patients had a mean age of 58 years (range, 18 to 80 years); 60.5% (n = 574) were women. The race/ethnicity of the patient cohort was 9.8% (n = 93) Black non-Hispanic, 11.2% (n = 106) Hispanic/Latino, 70.3% (n = 667) White non-Hispanic, and 8.7% (n = 83) "other." Overall, Black non-Hispanic patients (38.7%; odds ratio, [OR] 0.62; 95% confidence interval [CI], 0.40 to 0.96) and Hispanic/Latino patients (35.8%; OR, 0.55; 95% CI, 0.36 to 0.84) were less likely to have surgery recommended at their first visit compared with White non-Hispanic patients (50.5%). This was no longer apparent after adjusting for demographic and clinical variables including EDS severity and SDI (Black non-Hispanic patients: adjusted odds ratio [aOR], 0.67; 95% CI, 0.4 to 1.11; Hispanic/Latino patients: aOR, 0.69: 95% CI, 0.41 to 1.14). Across all categories of EDS severity, surgeons were less likely to recommend surgery to patients with a higher SDI (aOR: 0.66, 0.64, and 0.54 for quintiles 2, 3 and 4, respectively). When surgery was recommended, patients in the highest SDI quintile were less likely to proceed with surgery (p = 0.032). There was no association between patient race/ethnicity and the treatment selected by the patient or time to surgery (p = 0.303 and p = 0.725, respectively).

CONCLUSIONS

Patients experiencing higher levels of social deprivation were less likely to be recommended for CTS surgery and were less likely to proceed with surgery, regardless of patient race/ethnicity. Additional investigation into the social factors influencing both surgeon and patient selection of treatment for CTS, including the impact of patient socioeconomic background, is warranted.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Barriers and facilitators to surgical access in underinsured and immigrant populations

BACKGROUND

Marginalized communities are at risk of receiving inequitable access to surgical care. We aimed to examine the barriers and facilitators to access to surgery in underinsured and immigrant populations.

METHODS

A systematic review of disparities in access to surgical care was performed between January 1, 2000-March 2, 2022. Methodological quality was assessed with the Mixed Methods Appraisal Tool. A convergent integrated approach was used to code common themes between studies.

RESULTS

Of 1315 publications, a total of 66 studies were included for systematic review. Eight studies specifically discussed immigrant patient populations. Barriers and facilitators to surgical access were categorized by patient and health systems related factors.

CONCLUSIONS

Established facilitators to improve surgical access are centered on patient-level factors while interventions to address systems-related barriers are limited and may be an area for further investigation. Research focused on access to surgery in immigrant populations remains sparse.

Prognostic Factors and Treatment Impact on Overall Survival in Adult Craniopharyngioma

OBJECTIVE

To examine the demographics, tumor characteristics, treatments, and clinical outcomes of a large adult craniopharyngioma population.

METHODS

The 2004-2018 National Cancer Database was queried to investigate adult patients with craniopharyngioma. Univariable and multivariable Cox hazard ratio analysis was conducted to analyze the overall survival (OS) impact of demographic and clinical variables.

RESULTS

A total of 666 adult patients with craniopharyngioma were identified with a mean age of 51 years (standard deviation 16 years). On multivariable analysis, independent of demographic and clinical variables, increased age, uninsured status, Medicaid, Medicare, Charlson-Deyo Comorbidity Index of 2, and tumor size greater than 40 mm were independently associated with worse OS. There was no significant difference in survival between histologic subtypes. Gross total resection (GTR) (hazard ratio [HR] 0.602, 95% confidence interval [CI] 0.384-0.942, P = 0.026) and subtotal resection (STR) with adjuvant radiotherapy (HR 0.316, 95% CI 0.140-0.710, P = 0.005) were independently associated with improved OS. GTR with radiotherapy trended towards improved OS (HR 0.601, 95% CI 0.334-1.083, P =0.090), but STR alone and radiotherapy alone demonstrated no significant difference in survival compared with no treatment on multivariable analysis. Kaplan-Meier survival models demonstrated improved survival with GTR, GTR + radiation therapy, and STR + radiation therapy. Patients undergoing endoscopic resection had significantly lower GTR rates and greater rates of adjuvant radiotherapy compared with open approaches but no difference in OS.

CONCLUSION

Adult patients with craniopharyngioma who underwent GTR or STR with adjuvant radiotherapy had significantly improved overall survival. Endoscopic approaches had lower rates of GTR but no difference in OS.

Going the distance in acoustic neuroma resection: microsurgical outcomes at high-volume centers of excellence

PURPOSE

High-volume hospitals are associated with improved surgical outcomes for acoustic neuromas (ANs). Due to the benign and slow-growing nature of ANs, many patients travel to geographically distant cities, states, or countries for their treatment. However, the impact of travel burden to high-volume centers, as well as its relative benefit are poorly understood. We compared post-operative outcomes between AN patients that underwent treatment at local, low-volume hospitals with those that traveled long distances to high-volume hospitals.

METHODS

The National Cancer Database was used to analyze AN patients that underwent surgery (2004-2015). Patients in the lowest quartile of travel distance and volume (Short-travel/Low-Volume: STLV) were compared to patients in the highest quartile of travel distance and volume (Long-travel/High-Volume: LTHV). Only STLV and LTHV cases were included for analysis.

RESULTS

Of 13,370 cases, 2,408 met inclusion criteria. STLV patients (n = 1,305) traveled a median of 6 miles (Interquartile range [IQR] 3-9) to low-volume centers (median 2, IQR 1-3 annual cases) and LTHV patients (n = 1,103) traveled a median of 143 miles [IQR 103-230, maximum 4,797] to high-volume centers (median 34, IQR 28-42 annual cases). LTHV patients had lower Charlson/Deyo scores (p = 0.001), mostly received care at academic centers (81.7% vs. 39.4%, p < 0.001), and were less likely to be minorities (7.0% vs. 24.2%, p < 0.001) or underinsured (4.2% vs. 13.8%, p < 0.001). There was no difference in average tumor size. On multivariable analysis, LTHV predicted increased likelihood of gross total resection (odds ratio [OR] 5.6, 95% confidence interval [CI] 3.8-8.4, p < 0.001), longer duration between diagnosis and surgery (OR 1.3, 95% CI 1.0-1.6, p = 0.040), decreased length of hospital stay (OR 0.5, 95% CI 0.4-0.7, p < 0.001), and greater overall survival (Hazard Ratio [HR] 0.6, 95% CI 0.4-0.95, p = 0.029). There was no significant difference in 30-day readmission on adjusted analysis.

CONCLUSION

Although traveling farther to high-volume centers was associated with greater time between diagnosis and treatment for AN patients, they experienced superior postoperative outcomes compared to patients who received treatment locally at low-volume centers. Enabling access and travel to high-volume centers may improve AN patient outcomes.

Guiding Patients Through Decision-Making in Management of Sporadic Vestibular Schwannoma

Decision-making in management of sporadic vestibular schwannoma aims to identify the most appropriate options based on tumor characteristics, symptoms, health, and goals for each patient. Advances in knowledge of tumor natural history, improvements in radiation techniques, and achievements in neurologic preservation with microsurgery have shifted emphasis toward maximizing quality of life using a personalized approach. To empower patients to make informed decisions, we present a framework to help match patient values and priorities with reasonable expectations from modern management options. Introduced herein are practical examples of communication strategies and decision aids to support shared decision-making in modern practice.