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AJNR. American Journal of Neuroradiology Jun 2024Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for glioma...
BACKGROUND
Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for glioma reporting, have been applied for a decade, but a systematic performance evaluation is lacking.
PURPOSE
Our aim was to conduct a systematic review and meta-analysis of the performance of the VASARI features set for glioma assessment.
DATA SOURCES
MEDLINE, Web of Science, EMBASE, and the Cochrane Library were systematically searched until September 26, 2023.
STUDY SELECTION
Original articles predicting diagnosis, progression, and survival in patients with glioma were included.
DATA ANALYSIS
The modified Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was applied to evaluate the risk-of-bias. The meta-analysis used a random effects model and forest plot visualizations, if ≥5 comparable studies with a low or medium risk of bias were provided.
DATA SYNTHESIS
Thirty-five studies (3304 patients) were included. Risk-of-bias scores were medium ( = 33) and low ( = 2). Recurring objectives were overall survival ( = 18) and isocitrate dehydrogenase mutation (; = 12) prediction. Progression-free survival was examined in 7 studies. In 4 studies (glioblastoma = 2, grade 2/3 glioma = 1, grade 3 glioma = 1), a significant association was found between progression-free survival and single VASARI features. The single features predicting overall survival with the highest pooled hazard ratios were multifocality (hazard ratio = 1.80; 95%-CI, 1.21-2.67; I = 53%), ependymal invasion (hazard ratio = 1.73; 95% CI, 1.45-2.05; I = 0%), and enhancing tumor crossing the midline (hazard ratio = 2.08; 95% CI, 1.35-3.18; I = 52%). mutation-predicting models combining VASARI features rendered a pooled area under the receiver operating characteristic curve of 0.82 (95% CI, 0.76-0.88) at considerable heterogeneity (I = 100%). Combined input models using VASARI plus clinical and/or radiomics features outperformed single data-type models in all relevant studies ( = 17).
LIMITATIONS
Studies were heterogeneously designed and often with a small sample size. Several studies used The Cancer Imaging Archive database, with likely overlapping cohorts. The meta-analysis for was limited due to a high study heterogeneity.
CONCLUSIONS
Some VASARI features perform well in predicting overall survival and mutation status, but combined models outperform single features. More studies with less heterogeneity are needed to increase the evidence level.
PubMed: 38937115
DOI: 10.3174/ajnr.A8274 -
Journal of Magnetic Resonance Imaging :... Jun 2024Distinguishing high-grade gliomas (HGGs) from brain metastases (BMs) using perfusion-weighted imaging (PWI) remains challenging. PWI offers quantitative measurements of...
Differentiation Between High-Grade Glioma and Brain Metastasis Using Cerebral Perfusion-Related Parameters (Cerebral Blood Volume and Cerebral Blood Flow): A Systematic Review and Meta-Analysis of Perfusion-weighted MRI Techniques.
BACKGROUND
Distinguishing high-grade gliomas (HGGs) from brain metastases (BMs) using perfusion-weighted imaging (PWI) remains challenging. PWI offers quantitative measurements of cerebral blood flow (CBF) and cerebral blood volume (CBV), but optimal PWI parameters for differentiation are unclear.
PURPOSE
To compare CBF and CBV derived from PWIs in HGGs and BMs, and to identify the most effective PWI parameters and techniques for differentiation.
STUDY TYPE
Systematic review and meta-analysis.
POPULATION
Twenty-four studies compared CBF and CBV between HGGs (n = 704) and BMs (n = 488).
FIELD STRENGTH/SEQUENCE
Arterial spin labeling (ASL), dynamic susceptibility contrast (DSC), dynamic contrast-enhanced (DCE), and dynamic susceptibility contrast-enhanced (DSCE) sequences at 1.5 T and 3.0 T.
ASSESSMENT
Following the PRISMA guidelines, four major databases were searched from 2000 to 2024 for studies evaluating CBF or CBV using PWI in HGGs and BMs.
STATISTICAL TESTS
Standardized mean difference (SMD) with 95% CIs was used. Risk of bias (ROB) and publication bias were assessed, and I statistic was used to assess statistical heterogeneity. A P-value<0.05 was considered significant.
RESULTS
HGGs showed a significant modest increase in CBF (SMD = 0.37, 95% CI: 0.05-0.69) and CBV (SMD = 0.26, 95% CI: 0.01-0.51) compared with BMs. Subgroup analysis based on region, sequence, ROB, and field strength for CBF (HGGs: 375 and BMs: 222) and CBV (HGGs: 493 and BMs: 378) values were conducted. ASL showed a considerable moderate increase (50% overlapping CI) in CBF for HGGs compared with BMs. However, no significant difference was found between ASL and DSC (P = 0.08).
DATA CONCLUSION
ASL-derived CBF may be more useful than DSC-derived CBF in differentiating HGGs from BMs. This suggests that ASL may be used as an alternative to DSC when contrast medium is contraindicated or when intravenous injection is not feasible.
TECHNICAL EFFICACY
Stage 2.
PubMed: 38899965
DOI: 10.1002/jmri.29473 -
AJNR. American Journal of Neuroradiology Jun 2024Antibodies against leucine-rich glioma inactivated protein 1 (LGI1) constitute a common form of autoimmune encephalitis. On MR imaging, it may show T2 FLAIR...
BACKGROUND
Antibodies against leucine-rich glioma inactivated protein 1 (LGI1) constitute a common form of autoimmune encephalitis. On MR imaging, it may show T2 FLAIR hyperintensities of the medial temporal lobe (T2 FLAIR-MTL), involve the basal ganglia, or be unremarkable.
PURPOSE
We performed a systematic review and meta-analysis to obtain prevalence estimates of abnormal findings on MR imaging in anti-LGI1 encephalitis. A human brain map of the microarray gene expression was derived from the Allen Human Brain Atlas.
DATA SOURCES
PubMed and Web of Science were searched with the terms "LGI1" and "encephalitis" from inception to April 7, 2022.
STUDY SELECTION
Thirty-one research publications, encompassing case series and retrospective cohort and case-control studies, with >10 patients with anti-LGI1 encephalitis and MR imaging data were included.
DATA ANALYSIS
Pooled prevalence estimates were calculated using Freeman-Tukey double-arcsine transformation. Meta-analysis used DerSimonian and Laird random effects models.
DATA SYNTHESIS
Of 1318 patients in 30 studies, T2 FLAIR-MTL hyperintensities were present in 54% (95% CI, 0.48-0.60; I = 76%). Of 394 patients in 13 studies, 27% showed bilateral (95% CI, 0.19-0.36; I = 71%) and 24% unilateral T2 FLAIR-MTL abnormalities (95% CI, 0.17-0.32; I = 61%). Of 612 patients in 15 studies, basal ganglia abnormalities were present in 10% (95% CI, 0.06-0.15; I = 67%). expression was highest in the amygdala, hippocampus, and caudate nucleus.
LIMITATIONS
Only part of the spectrum of MR imaging abnormalities in anti-LGI1 encephalitis could be included in a meta-analysis. MR imaging findings were not the main outcomes in most studies, limiting available information. I values ranged from 62% to 76%, representing moderate-to-large heterogeneity.
CONCLUSIONS
T2 FLAIR-MTL hyperintensities were present in around one-half of patients with anti-LGI1. The prevalence of unilateral and bilateral presentations was similar, suggesting unilaterality should raise the suspicion of this disease in the appropriate clinical context. Around 10% of patients showed basal ganglia abnormalities, indicating that special attention should be given to this region. regional expression coincided with the most frequently reported abnormal findings on MR imaging. Regional specificity might be partially determined by expression levels of the target protein.
PubMed: 38871367
DOI: 10.3174/ajnr.A8256 -
Revista Da Associacao Medica Brasileira... 2024
Review
Topics: Humans; Glioblastoma; Palliative Care; Brain Neoplasms
PubMed: 38865542
DOI: 10.1590/1806-9282.2024S122 -
Brain & Spine 2024The appropriate surgical management of insular gliomas is controversial. Management strategies vary considerably between centers. (Review)
Review
INTRODUCTION
The appropriate surgical management of insular gliomas is controversial. Management strategies vary considerably between centers.
RESEARCH QUESTION
To provide robust resection, functional and epilepsy outcome figures, study growth patterns and tumor classification paradigms, analyze surgical approaches, mapping/monitoring strategies, surgery for insular glioblastoma, as well as molecular findings, and to identify open questions for future research.
MATERIAL AND METHODS
On behalf of the EANS Neuro-oncology Section we performed a systematic review and meta-analysis (using a random-effects model) of the more current (2000-2023) literature in accordance with the PRISMA guidelines.
RESULTS
The pooled postoperative motor and speech deficit rates were 6.8% and 3.6%. There was a 79.6% chance for postoperative epilepsy control. The postoperative KPI was 80-100 in 83.5% of cases. Functional monitoring/mapping paradigms (which may include awake craniotomies) seem mandatory. (Additional) awake surgery may result in slightly better functional but also worse resection outcomes. Transcortical approaches may carry a lesser rate of (motor) deficits than transsylvian surgeries.
DISCUSSION AND CONCLUSIONS
This paper provides an inclusive overview and analysis of current surgical management of insular gliomas. Risks and complication rates in experienced centers do not necessarily compare unfavorably with the results of routine neuro-oncological procedures. Limitations of the current literature prominently include a lack of standardized outcome reporting. Questions and issues that warrant more attention include surgery for insular glioblastomas and how to classify the various growth patterns of insular gliomas.
PubMed: 38859917
DOI: 10.1016/j.bas.2024.102828 -
Journal of Neurosurgery Jun 2024Radiation therapy (RT) improves the outcome of patients with cancer but introduces the risk of radiation-induced neoplasms in cancer survivors. The most common...
OBJECTIVE
Radiation therapy (RT) improves the outcome of patients with cancer but introduces the risk of radiation-induced neoplasms in cancer survivors. The most common radiation-induced brain tumors (RIBTs) are gliomas (RIGs), meningiomas (RIMs), and sarcomas (RISs). To investigate the characteristics of these RIBTs, the authors conducted a comprehensive review and analysis of their case series and relevant cases from the literature.
METHODS
Sixteen patients in the case series and 941 patients from the literature who previously underwent cranial irradiation were included in this study. The age at irradiation for primary disease was recorded, and the latency period from irradiation to the development of RIBT and the median overall survival (OS) of patients with RIBTs were analyzed using the Kaplan-Meier method. Patients were stratified by age at the time of irradiation (pediatric vs nonpediatric) and the irradiation dose (higher vs lower dose), and latency and OS were compared using the log-rank test.
RESULTS
Among patients with RIBTs, 23.4% underwent radiation at < 5 years of age, and 46.6% underwent RT in the 1st decade of life. The median ages at cranial irradiation were 8.4 (IQR 4.1-16) years in patients with RIMs, 9 (IQR 5-23) years in patients with RIGs, and 27.7 (IQR 13.8-40) years in patients with RISs. The median latency period from irradiation to the development of RIM was significantly longer than that to the development of RIG and RIS (RIM: 20 years, RIG: 9 years, RIS: 10 years; p < 0.0001). The latency period was shorter in the nonpediatric patient group with RIMs (p = 0.047). The OS was significantly longer in patients with RIMs than in those with RIGs and RISs (RIM: not reached, RIG: 11 months, RIS: 11 months; p < 0.0001). The OS of patients with RIMs and RIGs was significantly shorter in patients who received higher radiation doses (p = 0.0095 and p = 0.0026, respectively).
CONCLUSIONS
The prognosis was poor and worse for patients with RIGs and RISs than for those with RIMs, and patients with RIBTs who underwent higher-dose irradiation for primary disease had poor prognoses. Because RIBTs develop more than a decade after cranial irradiation, long-term follow-up is crucial.
PubMed: 38848603
DOI: 10.3171/2024.3.JNS232934 -
Medicine International 2024Glioma is the most prevalent type of primary brain tumor in adults. The use of artificial intelligence (AI) in glioma is increasing and has exhibited promising results....
Glioma is the most prevalent type of primary brain tumor in adults. The use of artificial intelligence (AI) in glioma is increasing and has exhibited promising results. The present study performed a systematic review of the applications of AI in glioma as regards diagnosis, grading, prediction of genotype, progression and treatment response using different databases. The aim of the present study was to demonstrate the trends (main directions) of the recent applications of AI within the field of glioma, and to highlight emerging challenges in integrating AI within clinical practice. A search in four databases (Scopus, PubMed, Wiley and Google Scholar) yielded a total of 42 articles specifically using AI in glioma and glioblastoma. The articles were retrieved and reviewed, and the data were summarized and analyzed. The majority of the articles were from the USA (n=18) followed by China (n=11). The number of articles increased by year reaching the maximum number in 2022. The majority of the articles studied glioma as opposed to glioblastoma. In terms of grading, the majority of the articles were about both low-grade glioma (LGG) and high-grade glioma (HGG) (n=23), followed by HGG/glioblastoma (n=13). Additionally, three articles were about LGG only; two articles did not specify the grade. It was found that one article had the highest sample size among the other studies, reaching 897 samples. Despite the limitations and challenges that face AI, the use of AI in glioma has increased in recent years with promising results, with a variety of applications ranging from diagnosis, grading, prognosis prediction, and reaching to treatment and post-operative care.
PubMed: 38827949
DOI: 10.3892/mi.2024.164 -
World Journal of Stem Cells May 2024Gliomas pose a significant challenge to effective treatment despite advancements in chemotherapy and radiotherapy. Glioma stem cells (GSCs), a subset within tumors,...
BACKGROUND
Gliomas pose a significant challenge to effective treatment despite advancements in chemotherapy and radiotherapy. Glioma stem cells (GSCs), a subset within tumors, contribute to resistance, tumor heterogeneity, and plasticity. Recent studies reveal GSCs' role in therapeutic resistance, driven by DNA repair mechanisms and dynamic transitions between cellular states. Resistance mechanisms can involve different cellular pathways, most of which have been recently reported in the literature. Despite progress, targeted therapeutic approaches lack consensus due to GSCs' high plasticity.
AIM
To analyze targeted therapies against GSC-mediated resistance to radio- and chemotherapy in gliomas, focusing on underlying mechanisms.
METHODS
A systematic search was conducted across major medical databases (PubMed, Embase, and Cochrane Library) up to September 30, 2023. The search strategy utilized relevant Medical Subject Heading terms and keywords related to including "glioma stem cells", "radiotherapy", "chemotherapy", "resistance", and "targeted therapies". Studies included in this review were publications focusing on targeted therapies against the molecular mechanism of GSC-mediated resistance to radiotherapy resistance (RTR).
RESULTS
In a comprehensive review of 66 studies on stem cell therapies for SCI, 452 papers were initially identified, with 203 chosen for full-text analysis. Among them, 201 were deemed eligible after excluding 168 for various reasons. The temporal breakdown of studies illustrates this trend: 2005-2010 (33.3%), 2011-2015 (36.4%), and 2016-2022 (30.3%). Key GSC models, particularly U87 (33.3%), U251 (15.2%), and T98G (15.2%), emerge as significant in research, reflecting their representativeness of glioma characteristics. Pathway analysis indicates a focus on phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (mTOR) (27.3%) and Notch (12.1%) pathways, suggesting their crucial roles in resistance development. Targeted molecules with mTOR (18.2%), CHK1/2 (15.2%), and ATP binding cassette G2 (12.1%) as frequent targets underscore their importance in overcoming GSC-mediated resistance. Various therapeutic agents, notably RNA inhibitor/short hairpin RNA (27.3%), inhibitors ( LY294002, NVP-BEZ235) (24.2%), and monoclonal antibodies ( cetuximab) (9.1%), demonstrate versatility in targeted therapies. among 20 studies (60.6%), the most common effect on the chemotherapy resistance response is a reduction in temozolomide resistance (51.5%), followed by reductions in carmustine resistance (9.1%) and doxorubicin resistance (3.0%), while resistance to RTR is reduced in 42.4% of studies.
CONCLUSION
GSCs play a complex role in mediating radioresistance and chemoresistance, emphasizing the necessity for precision therapies that consider the heterogeneity within the GSC population and the dynamic tumor microenvironment to enhance outcomes for glioblastoma patients.
PubMed: 38817336
DOI: 10.4252/wjsc.v16.i5.604 -
Cellular and Molecular Biology... May 2024This review aimed to comprehensively summarize the role of long non-coding RNA (lncRNA) in gliomas, the most common malignant tumors in the central nervous system, and... (Review)
Review
This review aimed to comprehensively summarize the role of long non-coding RNA (lncRNA) in gliomas, the most common malignant tumors in the central nervous system, and explore their potential clinical applications. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic search using the PubMed database was conducted forty studies met the inclusion and exclusion criteria and were analyzed for type of intervention, the study's design, participants' demographics, and outcomes, including attrition. Gliomas, originating within the central nervous system, account for 40-45% of intracranial tumors. Despite advances in neurosurgical techniques, precise radiotherapy, and chemotherapy, the prognosis for glioma patients remains suboptimal. The review highlights the crucial regulatory role of lncRNA in gliomas. Differential expression of various lncRNAs, such as INHEG, SATB2-AS1, PSMB8-AS1, LINC01018, and SPRY4-IT1, has been observed in gliomas, suggesting their involvement in promoting or inhibiting tumorigenesis. Additionally, lncRNAs play roles in glioma characteristics such as proliferation, invasion, migration, angiogenesis, and the presence of glioma stem cells. The potential clinical applications of lncRNA in gliomas involve their association with tumor grading, diameter, metastasis, and family history. This review emphasizes the importance of understanding the molecular mechanisms involving lncRNA in gliomas. The identification of specific lncRNAs associated with gliomas provides potential molecular markers for diagnosis, differentiation, treatment, and prognosis evaluation. Further research is needed to uncover additional key lncRNAs and their underlying mechanisms, ultimately contributing to the improvement of glioma diagnosis and treatment.
Topics: Humans; Brain Neoplasms; Gene Expression Regulation, Neoplastic; Glioma; Prognosis; RNA, Long Noncoding
PubMed: 38814211
DOI: 10.14715/cmb/2024.70.5.34 -
Journal of Integrative Neuroscience May 2024Multiple radiomics models have been proposed for grading glioma using different algorithms, features, and sequences of magnetic resonance imaging. The research seeks to... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Multiple radiomics models have been proposed for grading glioma using different algorithms, features, and sequences of magnetic resonance imaging. The research seeks to assess the present overall performance of radiomics for grading glioma.
METHODS
A systematic literature review of the databases Ovid MEDLINE PubMed, and Ovid EMBASE for publications published on radiomics for glioma grading between 2012 and 2023 was performed. The systematic review was carried out following the criteria of Preferred Reporting Items for Systematic Reviews and Meta-Analysis.
RESULTS
In the meta-analysis, a total of 7654 patients from 40 articles, were assessed. R-package mada was used for modeling the joint estimates of specificity (SPE) and sensitivity (SEN). Pooled event rates across studies were performed with a random-effects meta-analysis. The heterogeneity of SPE and SEN were based on the χ2 test. Overall values for SPE and SEN in the differentiation between high-grade gliomas (HGGs) and low-grade gliomas (LGGs) were 84% and 91%, respectively. With regards to the discrimination between World Health Organization (WHO) grade 4 and WHO grade 3, the overall SPE was 81% and the SEN was 89%. The modern non-linear classifiers showed a better trend, whereas textural features tend to be the best-performing (29%) and the most used.
CONCLUSIONS
Our findings confirm that present radiomics' diagnostic performance for glioma grading is superior in terms of SEN and SPE for the HGGs vs. LGGs discrimination task when compared to the WHO grade 4 vs. 3 task.
Topics: Glioma; Humans; Magnetic Resonance Imaging; Brain Neoplasms; Neoplasm Grading; Neuroimaging; Radiomics
PubMed: 38812383
DOI: 10.31083/j.jin2305100