Update on headache and brain tumors

Headache in Sturge-Weber syndrome: A systematic review

BACKGROUND

Sturge-Weber syndrome (SWS) is a neurocutaneous disorder for which the neurological aspects, particularly headaches, remain poorly understood, despite significantly affecting morbidity. The present study aimed to elucidate the prevalence, characteristics and treatment strategies, as well as explore the pathogenesis of headaches, in SWS.

METHODS

Using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we systematically reviewed observational studies, case reports and series from eight databases (Cochrane Library, EBSCO, Embase, Medline, PubMed, Science Direct, Scopus and Web of Science), published from 1978 to 2023, to investigate the prevalence, characteristics, medication response and pathogenic theories of headaches in SWS.

RESULTS

The review analyzed 48 studies, uncovering headache prevalence between 37% and 71%. Migraine-like headache affected up to 52% of individuals. Prophylactic and acute treatments included non-steroidal anti-inflammatory drugs, triptans and antiepileptic drugs, despite the lack of established guidelines. Life-threatening headaches in SWS are uncommon, typically accompanied by other neurological symptoms. The pathogenesis of headaches in SWS is considered to involve venous congestion and neuronal hyperexcitability linked to leptomeningeal angiomas.

CONCLUSIONS

Headaches occur more frequently in individuals with SWS than in the general population. Despite symptoms meeting migraine criteria, these headaches should be considered secondary to vascular conditions. Implementing acute and prophylactic treatment is advised to reduce the impact on patients' lives.

Ominous Causes of Headache

PURPOSE OF REVIEW

While primary headaches like migraines or cluster headaches are prevalent and often debilitating, it's the secondary headaches-those resulting from underlying pathologies-that can be particularly ominous. This article delves into the sinister causes of headaches, underscoring the importance of a meticulous clinical approach, especially when presented with red flags.

RECENT FINDINGS

Headaches, one of the most common complaints in clinical practice, span a spectrum from benign tension-type episodes to harbingers of life-threatening conditions. For the seasoned physician, differentiating between these extremes is paramount. Headache etiologies covered in this article will include subarachnoid hemorrhage (SAH), cervical artery dissection, cerebral venous thrombosis, meningitis, obstructive hydrocephalus, and brain tumor.

Headache Management in Individuals with Brain Tumor

Headache occurs commonly in individuals diagnosed with cerebral neoplasm. Though the features of a brain tumor-associated headache may vary, a progressive nature of headache and a change in headache phenotype from a prior primary headache disorder often are identified. Pathophysiologic mechanisms proposed for headache associated with brain tumor include headache related to traction on pain-sensitive structures, activation of central and peripheral pain processes, and complications from surgical, chemotherapeutic and/or radiotherapy treatment(s). Optimization of headache management is important for an individual's quality of life. Treatments are based upon patient-specific goals of care and may include tumor-targeted medical and surgical interventions, as well as a multimodal headache treatment approach incorporating acute and preventive medications, nutraceuticals, neuromodulation devices, behavioral interventions, anesthetic nerve blocks, and lifestyles changes.

Identifying Cancer Driver Pathways Based on the Mouth Brooding Fish Algorithm

Identifying the driver genes of cancer progression is of great significance in improving our understanding of the causes of cancer and promoting the development of personalized treatment. In this paper, we identify the driver genes at the pathway level via an existing intelligent optimization algorithm, named the Mouth Brooding Fish (MBF) algorithm. Many methods based on the maximum weight submatrix model to identify driver pathways attach equal importance to coverage and exclusivity and assign them equal weight, but those methods ignore the impact of mutational heterogeneity. Here, we use principal component analysis (PCA) to incorporate covariate data to reduce the complexity of the algorithm and construct a maximum weight submatrix model considering different weights of coverage and exclusivity. Using this strategy, the unfavorable effect of mutational heterogeneity is overcome to some extent. Data involving lung adenocarcinoma and glioblastoma multiforme were tested with this method and the results compared with the MDPFinder, Dendrix, and Mutex methods. When the driver pathway size was 10, the recognition accuracy of the MBF method reached 80% in both datasets, and the weight values of the submatrix were 1.7 and 1.89, respectively, which are better than those of the compared methods. At the same time, in the signal pathway enrichment analysis, the important role of the driver genes identified by our MBF method in the cancer signaling pathway is revealed, and the validity of these driver genes is demonstrated from the perspective of their biological effects.

Prevalence and Risk Factors Associated with Tumors and Other Structural Anomalies in Brain MRI Performed to Rule out Secondary Headache: A Multicenter Observational Study

Headache disorders (HDs) are among the most common conditions of the central nervous system, with an estimated prevalence of 50% in adult population. The aim of this work is to analyze the prevalence of structural anomalies that may explain HDs in MRI exams performed to rule out secondary headache in real-world practice, as well as risk factors associated with these lesions. We conducted a retrospective observational study based on a consecutive case series of all patients that underwent brain MRI due to headache from 1 January 2019 to 31 May 2019. We included patients from six MRI diagnostic centers accounting for four provinces of Andalusia (southern Spain). Bivariate and multivariate logistical regression models were performed to identify risk factors associated with the outcomes (1) presence of a structural finding potentially explaining headache, (2) presence of intracranial space-occupying lesions (SOLs), and (3) presence of intracranial tumors (ITs). Of the analyzed sample (1041 patients), a structural finding that could explain headache was found in 224 (21.5%) patients. SOLs were found in 50 (6.8%) patients and ITs in 12 (1.5%) patients. The main factors associated with structural abnormalities were female sex (OR, 1.35; 95% CI, 1.02–1.85), accompanying symptoms (OR, 1.34; 95% CI, 1.05–1.89), use of gadolinium-based contrast agents (OR, 1.89; 95% CI, 1.31–2.72) and previously known conditions potentially explaining headache (OR, 2.44; 95% CI, 1.55–3.84). Female sex (p = 0.048) and accompanying symptoms (p = 0.033) were also associated with ITs in bivariate analyses. Our results may be relevant for different medical specialists involved in the diagnosis, management and prevention of headache. Moreover, the risk factors identified in our study might help the development of public health strategies aimed at early diagnosis of brain tumors. Future studies are warranted to corroborate our findings.