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PloS One 2024Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results.... (Meta-Analysis)
Meta-Analysis
Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.
Topics: Meningioma; Humans; Biomarkers, Tumor; Prognosis; Meningeal Neoplasms; DNA Topoisomerases, Type II; Ki-67 Antigen; Tumor Suppressor Protein p53; Vascular Endothelial Growth Factor A; Immunohistochemistry; Poly-ADP-Ribose Binding Proteins
PubMed: 38758750
DOI: 10.1371/journal.pone.0303337 -
BMC Medical Imaging May 2024Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is...
Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in imaging. Traditional methodologies primarily rely on manual interpretation of MRI images, supplemented by conventional machine learning techniques. These approaches often lack the robustness and scalability needed for precise and automated tumor classification. The major limitations include a high degree of manual intervention, potential for human error, limited ability to handle large datasets, and lack of generalizability to diverse tumor types and imaging conditions.To address these challenges, we propose a federated learning-based deep learning model that leverages the power of Convolutional Neural Networks (CNN) for automated and accurate brain tumor classification. This innovative approach not only emphasizes the use of a modified VGG16 architecture optimized for brain MRI images but also highlights the significance of federated learning and transfer learning in the medical imaging domain. Federated learning enables decentralized model training across multiple clients without compromising data privacy, addressing the critical need for confidentiality in medical data handling. This model architecture benefits from the transfer learning technique by utilizing a pre-trained CNN, which significantly enhances its ability to classify brain tumors accurately by leveraging knowledge gained from vast and diverse datasets.Our model is trained on a diverse dataset combining figshare, SARTAJ, and Br35H datasets, employing a federated learning approach for decentralized, privacy-preserving model training. The adoption of transfer learning further bolsters the model's performance, making it adept at handling the intricate variations in MRI images associated with different types of brain tumors. The model demonstrates high precision (0.99 for glioma, 0.95 for meningioma, 1.00 for no tumor, and 0.98 for pituitary), recall, and F1-scores in classification, outperforming existing methods. The overall accuracy stands at 98%, showcasing the model's efficacy in classifying various tumor types accurately, thus highlighting the transformative potential of federated learning and transfer learning in enhancing brain tumor classification using MRI images.
Topics: Humans; Brain Neoplasms; Magnetic Resonance Imaging; Deep Learning; Neural Networks, Computer; Machine Learning; Image Interpretation, Computer-Assisted
PubMed: 38750436
DOI: 10.1186/s12880-024-01261-0 -
Scientific Data May 2024Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons,...
Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by expert manually refined segmentations of three distinct meningioma sub-compartments: enhancing tumor, non-enhancing tumor, and surrounding non-enhancing T2/FLAIR hyperintensity. Basic demographic data are provided including age at time of initial imaging, sex, and CNS WHO grade. The goal of releasing this dataset is to facilitate the development of automated computational methods for meningioma segmentation and expedite their incorporation into clinical practice, ultimately targeting improvement in the care of meningioma patients.
Topics: Meningioma; Humans; Magnetic Resonance Imaging; Meningeal Neoplasms; Male; Female; Image Processing, Computer-Assisted; Middle Aged; Aged
PubMed: 38750041
DOI: 10.1038/s41597-024-03350-9 -
Journal of Neurosciences in Rural... 2024The determinants of progression-free survival (PFS) and overall survival (OS) for higher-grade meningiomas have not been clearly established and to summarize the...
OBJECTIVES
The determinants of progression-free survival (PFS) and overall survival (OS) for higher-grade meningiomas have not been clearly established and to summarize the long-term clinical outcome for patients with grade 2 or 3 meningioma and assess the PFS and OS factors.
MATERIALS AND METHODS
The study included all individuals, who had undergone surgical removal of cerebral meningiomas between 2005 and 2020 and whose histological results suggested a World Health Organization (WHO) grade 2 or grade 3 diseases. Kaplan-Meier curves are plotted to examine tumor control and OS after the follow-up. The reverse Wald logistic regression and Mantel-Cox test were used in multivariate analysis for tumor recurrence and mortality.
RESULTS
There were 94 individuals enrolled with 82 having WHO grade 2 tumors and 12 having WHO grade 3 lesions. Gross total resection of the tumor was present in 73 patients (78%), and adjuvant radiotherapy (RT) was administered to 43 (45.7%) individuals. During the course of the study, 17 patients died. The WHO grade of the tumor, the extent of resection, and the absence of bone involvement were all independent predictors of better survival in a multivariate analysis. Furthermore, whereas adjuvant RT after surgery enhanced survival, it was not statistically significant (hazard ratios [95% confidence interval CI] = 1.91 [0.15-23.52] [ = 0.61]).
CONCLUSION
The degree of tumor excision is the strongest predictor of PFS and OS. In the event of a recurrence, rather than opting for upfront radiation, a second surgery with the goal of maximum safe resection should be performed.
PubMed: 38746494
DOI: 10.25259/JNRP_573_2023 -
BioRxiv : the Preprint Server For... Apr 2024Improvements in single-cell whole-genome sequencing (scWGS) assays have enabled detailed characterization of somatic copy number alterations (CNAs) at the single-cell...
Improvements in single-cell whole-genome sequencing (scWGS) assays have enabled detailed characterization of somatic copy number alterations (CNAs) at the single-cell level. Yet, current computational methods are mostly designed for detecting chromosome-scale changes in cancer samples with low sequencing coverage. Here, we introduce HiScanner (High-resolution Single-Cell Allelic copy Number callER), which combines read depth, B-allele frequency, and haplotype phasing to identify CNAs with high resolution. In simulated data, HiScanner consistently outperforms state-of-the-art methods across various CNA types and sizes. When applied to high-coverage scWGS data from human brain cells, HiScanner shows a superior ability to detect smaller CNAs, uncovering distinct CNA patterns between neurons and oligodendrocytes. For 179 cells we sequenced from longitudinal meningioma samples, integration of CNAs with point mutations revealed evolutionary trajectories of tumor cells. These findings show that HiScanner enables accurate characterization of frequency, clonality, and distribution of CNAs at the single-cell level in both non-neoplastic and neoplastic cells.
PubMed: 38746445
DOI: 10.1101/2024.04.26.587806 -
Brain Tumor Research and Treatment Apr 2024Intracranial meningiomas, being a fairly common disease in the population, often require surgical treatment, which, in turn, can completely heal the patient. The...
BACKGROUND
Intracranial meningiomas, being a fairly common disease in the population, often require surgical treatment, which, in turn, can completely heal the patient. The localization of meningiomas often influences treatment even if they are asymptomatic. By modernizing approaches to surgical treatment, it is possible to minimize intra- and postoperative risks, while achieving complete removal of the tumor. One of these methods is minimally invasive neurosurgery, the development of which in recent years allows it to compete with standard surgical methods. The purpose of this study was the objectification of minimally invasive approaches, such as the calculation of the craniotomy area and the ratio of craniotomy area to the resected tumor volume.
METHODS
The retrospective study consisted of a group of 54 consecutive patients who were operated on in our neurosurgery clinic specialized on minimally invasive neurosurgery. Preoperative planning was carried out using the Surgical Theater visualization platform. Using this system, the tumor volume and craniotomy surface area were calculated. During the analysis, the symptoms before and after the surgery, classification of tumors, postoperative complications, further treatment and follow-up results were assessed.
RESULTS
Twelve (22.2%) patients were men and 42 (77.8%) were women. The mean age of the group was 64.2 years (median 67.5). The craniotomy area ranged from 202 to 2,108 mm² (mean 631 mm²). Tumor volume ranged from 0.85 to 110.1 cm (mean 21.6 cm). The craniotomy size of minimally invasive approaches to the skull base was 3-5 times smaller than standard approaches. Skull base meningiomas accounted for 19 cases (35.2%), convexity meningiomas for 26 cases (48.1%), and falx and tentorium meningiomas for 9 cases (16.7%). Three complications were reported: postoperative hemorrhage, CSF leakage, and ophthalmoplegia. Relapse was detected in 2 patients with a mean follow-up of 26.3 months (median 20).
CONCLUSION
Minimally invasive approaches in the surgical treatment of intracranial meningiomas reduce the possibility of operating trauma by several times; they are safe and sufficient for complete removal of the tumor.
PubMed: 38742257
DOI: 10.14791/btrt.2024.0005 -
Surgical Neurology International 2024Resection of bilateral parasagittal meningiomas of the dominant cortex is challenging. Some postoperative consequences are difficult to predict due to their low...
BACKGROUND
Resection of bilateral parasagittal meningiomas of the dominant cortex is challenging. Some postoperative consequences are difficult to predict due to their low incidence. However, it is essential to recognize reversible symptoms. Akinetic mutism is a devastating but reversible symptom that occurs after supplementary motor area (SMA) injury. This report aims to provide more information to support the clinical progression of this syndrome.
CASE DESCRIPTION
A 47-year-old woman presented with psychomotor retardation and subtle weakness, particularly on the left side. A palpable mass was identified at the head vertex. Magnetic resonance imaging revealed bilateral parasagittal meningiomas with bone and sinus invasion of the SMA. A craniotomy was performed to remove the intracapsular tumor. Two days after the operation, the patient developed gradual deterioration in her motor function until it became a lock-in-like syndrome. Then, 1.5 months after treatment in the hospital and rehabilitation unit, she gradually improved her motor, cognitive, and psychomotor skills. Total recovery was achieved after 1 year.
CONCLUSION
Surgery for lesions involving bilateral SMA can cause akinetic mutism. The typical manifestation of this syndrome may be devastating. However, it is reversible, and patients can regain full motor and cognitive functions over time without specific treatments. It is crucial to persevere and continue to provide the best care to the patient until recovery.
PubMed: 38742016
DOI: 10.25259/SNI_130_2024 -
Surgical Neurology International 2024Hemorrhagic meningiomas are rare. We report a rare case of nontraumatic convexity and interhemispheric acute subdural hematoma (ASDH) caused by a falx meningioma.
BACKGROUND
Hemorrhagic meningiomas are rare. We report a rare case of nontraumatic convexity and interhemispheric acute subdural hematoma (ASDH) caused by a falx meningioma.
CASE DESCRIPTION
An 84-year-old woman with a history of atrial fibrillation and hypertension who was taking warfarin presented to our emergency department with a sudden disorder of consciousness. The patient had no traumatic events associated with her symptoms. Computed tomography (CT) revealed right convexity and interhemispheric ASDH, mass lesions in the left frontal lobes, and brain herniation. Contrast-enhanced CT revealed vascular structures within the mass lesion. CT angiography (CTA) revealed no aneurysm or arteriovenous malformation, and the venous phase revealed occlusion in the anterior portion of the superior sagittal sinus. The patient had her right convexity and interhemispheric ASDH removed endoscopically. A mass lesion located on the falx, which was easily bleeding, soft, and suctionable, was immediately detected. Histopathological examination revealed fibrous meningioma, a benign meningioma of the World Health Organization grade 1. Despite undergoing aggressive treatment, the patient's general condition deteriorated.
CONCLUSION
Hemorrhagic meningiomas can easily be missed with plain CT, and the enhancement effect of CTA and tumor shadow on digital subtraction angiography may not be observed during the acute phase. Surgery for nontraumatic ASDH should be performed considering the possibility that a meningioma causes it.
PubMed: 38742007
DOI: 10.25259/SNI_54_2024 -
Surgical Neurology International 2024Tuberculoma mimicking en-plaque meningioma is a rare variant of tuberculoma. A few cases were reported in the literature. The radiological appearance can be mistakenly...
BACKGROUND
Tuberculoma mimicking en-plaque meningioma is a rare variant of tuberculoma. A few cases were reported in the literature. The radiological appearance can be mistakenly diagnosed as en-plaque meningioma.
CASE DESCRIPTION
We report a rare case of a 45-year-old male with tuberculoma mimicking en-plaque meningioma who underwent surgical excision followed by anti-tuberculosis (TB) medications. Follow-up brain imaging after three months showed a favorable outcome.
CONCLUSION
Tuberculoma mimicking en-plaque meningioma should be considered in the differential diagnosis where TB is endemic.
PubMed: 38741986
DOI: 10.25259/SNI_94_2024 -
Surgical Neurology International 2024Solitary fibrous tumor/meningeal hemangiopericytoma (SFT/M-HPC) is a rare neoplasm which accounts for around 1% of the intracranial masses. This pathology has a high...
BACKGROUND
Solitary fibrous tumor/meningeal hemangiopericytoma (SFT/M-HPC) is a rare neoplasm which accounts for around 1% of the intracranial masses. This pathology has a high risk for recurrence and metastasis to distant locations such as the liver, lungs, and bones. Precise diagnosis necessitates detailed histopathological examination.
CASE DESCRIPTION
We present two case reports of SFT/M-HPC. The first case is a 44-year-old female who presented with headache, nausea, vomiting, and frontal ataxia for several months. Imaging findings showed a large parasagittal extra-axial mass with compression of the frontal horns of both lateral ventricles. She underwent gross total resection with an uncomplicated postoperative period. The patient had no recurrent tumors or distal metastases in the follow-up period of 5 years. The second case is a 48-year-old male who presented with right-sided hemianopsia and hemiparesis. Computed tomography (CT) scans revealed a large parieto-occipital extra-axial mass with superior sagittal sinus engulfment and dislocation of the interhemispheric fissure. He underwent gross total resection with an uncomplicated postoperative period. Six years later, he presented with right-sided weakness. CT scan showed a multifocal recurrent mass at the previous location. He underwent subtotal resection with an uncomplicated postoperative period.
CONCLUSION
SFT/M-HPC should be considered when presented with a meningioma-like tumor mass on preoperative imaging. Immunohistochemical study is crucial for the correct diagnosis. Strict long-term follow-up examinations and regular magnetic resonance imaging scans are key to preventing the appearance of metastases and large recurrent masses.
PubMed: 38741978
DOI: 10.25259/SNI_42_2024