Meninges
Comparative analysis of intraoperative and postoperative outcomes in primary vs. revision meningioma surgery: A propensity score-matched study.
Shukla IY, et al
A propensity score-matched analysis of 362 meningioma patients found that revision surgery achieves comparable intraoperative and short-term postoperative outcomes to primary resection, with no statistically significant differences in operative time, estimated blood loss, neurological complications …
Source →Deep Learning for Automated Detection and Segmentation of Meningioma on Multiparametric MRI.
Farré-Melero A, et al
A deep learning model combining three MRI sequences — contrast-enhanced T1 (T1-CE), standard T1, and FLAIR — achieved a near-perfect meningioma detection rate of 0.98 ± 0.03 and a DICE segmentation score of 0.82 ± 0.04 in a retrospective study of 149 patients, substantially outperforming all single-…
Source →Modeling meningioma in vitro in the omics era.
Sato D, et al
A new review published in Human Cell proposes an integrated framework that bridges large-scale omics discoveries — including recurrent mutations, copy-number alterations, and distinct molecular subgroups — with mechanistic in vitro research to advance understanding of meningioma biology. The authors…
Source →Age-Stratified Survival Patterns in Adults with Nonmalignant Intracranial Meningioma: A Population-Based SEER Cohort Study.
San TM, et al
A population-based SEER cohort study of 48,964 adults diagnosed with nonmalignant intracranial meningioma between 2004 and 2022 found that tumor size ≥40 mm was the strongest independent predictor of mortality across all age groups (HR: 1.47–1.93), while female sex was independently associated with …
Source →Prognostic Markers in Meningioma: Effectiveness of FISH-Assessed CDKN2A/B Homozygous Deletion and Limits of Surrogate p16/MTAP Immunohistochemistry in Predicting Disease-Specific Survival.
Ricci AA, et al
A study of 92 meningiomas (CNS WHO grades 1–3) found that homozygous deletion (HD) of CDKN2A/B detected by fluorescence in situ hybridisation (FISH) is strongly associated with poor disease-specific survival, with patients meeting the ≥20% or ≥30% deletion thresholds experiencing universal disease-s…
Source →Dural Follicular Non-Hodgkin Lymphoma Mimicking a Chronic Subdural Hematoma: A Case Report and Literature Review.
Arellanes-Chavez CA, et al
A 77-year-old woman presenting with progressive right-sided hemiparesis, hemidysesthesia, recent memory impairment, and left-sided headache after two ground-level falls was found on craniotomy to have markedly thickened dura mater, with histopathology confirming a WHO grade I follicular non-Hodgkin …
Source →Meningioma enlargement associated with luteinizing hormone-releasing hormone agonist therapy: two cases and supporting in vitro evidence.
Ichinose T, et al
Two cases of rapidly progressive meningioma temporally associated with initiation of leuprorelin acetate — an LHRH agonist used for androgen-deprivation therapy in prostate cancer — suggest that this drug class may accelerate tumor growth in a subset of receptor-positive meningiomas. In Case 1, a 67…
Source →Logarithmic and Conventional MRI Biomarkers of the Tumor-Edema Relationship in Meningioma Derived From Reproducible Volumetric Segmentation.
Navarro-Ballester A, et al
Volumetric MRI biomarkers of the tumor-edema relationship provide modest but consistent discrimination between grade I and grade II-III meningiomas, with the infiltration efficiency index achieving the highest discriminatory performance (AUC 0.64; P=.006) in a retrospective cohort of 187 patients. O…
Source →MRI Signs for the Preoperative Diagnosis of Intracranial Solitary Fibrous Tumors.
Liang X, et al
Researchers developed and validated a three-point MRI-based diagnostic scoring system called ISFT-DS that reliably distinguishes intracranial solitary fibrous tumors (ISFTs) from meningiomas before surgery, using three MRI features: T1-weighted imaging hyperintensity, honeycomb-like cystic change, a…
Source →Microneedle patch integrated with hydroxyapatite nanoparticles and abemaciclib for treatment of meningioma.
Teng H, et al
A biodegradable microneedle patch co-delivering hydroxyapatite nanoparticles (n-HA) and the CDK4/6 inhibitor abemaciclib suppressed meningioma tumor progression in an orthotopic xenograft model, providing proof-of-concept for localized combination therapy at the tumor site. The patch, fabricated fro…
Source →Preoperative Prediction of Meningioma Consistency, Adhesion, and Biomarker Status Using Whole-Tumor MR Elastography Histogram Analysis.
Tianyu H, et al
A noninvasive MRI technique called magnetic resonance elastography (MRE) can predict the mechanical and biological properties of meningiomas before surgery with high accuracy, including tumor stiffness at an AUC of 0.956 with 100% specificity and a combined clinical-imaging model accuracy of 96.43%.…
Source →Tractography-Based Prediction of Trigeminal Nerve Displacement Patterns in Cavernous Sinus and Meckel's Cave Tumors: Correlation With Intraoperative Findings.
Lee JS, et al
Preoperative diffusion tensor imaging (DTI) tractography successfully predicted the intraoperative position of the trigeminal nerve in 26 of 28 patients (92.9% concordance rate) undergoing surgery for cavernous sinus and Meckel's cave tumors such as trigeminal schwannomas and meningiomas. The study …
Source →Progestin-associated meningiomas.
Peyre M, et al
A new review highlights that synthetic progestins are directly linked to meningioma growth, prompting a detailed re-examination of the hormonal drivers behind these brain tumors. The article comprehensively covers the epidemiological, clinical, biological, and histopathological characteristics of pr…
Source →Spinal meningiomas: histopathological grading using a benchmark radiomics model with notes on disease control.
Palla A, et al
A benchmark radiomics ensemble model combining k-nearest neighbors, random forest, and support vector machine classifiers achieved an area under the receiver operating characteristic curve of 0.879 and a mean F1 score of 0.748 in preoperatively predicting the histological grade of spinal meningiomas…
Source →Deep learning predicts overall survival in high-grade meningioma using MRI and clinical data.
Zaidan SK, et al
A deep learning model integrating T1-weighted MRI with clinical covariates (age, sex, and tumor grade) achieved a mean cross-validated concordance index (c-index) of 0.731 ± 0.112 — ranging from 0.571 to 0.895 across five folds — in predicting overall survival for patients with high-grade meningioma…
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