The histological grade is crucial for therapeutic management, and its reliable preoperative detection can significantly influence treatment approach. Lacking established risk factors, this study identifies preoperative predictors of high-grade skull base meningiomas and discusses the implications of non-invasive detection. A multicentric study was conducted on 552 patients with skull base meningiomas who underwent primary surgical resection between 2014 and 2019. Data were gathered from clinical, surgical and pathology records and radiological diagnostics. The predictive factors of higher WHO grade were analysed in univariate analysis and multivariate stepwise selection logistic regression analysis. Histological analysis revealed 511 grade 1 (92.6%) and 41 grade 2 (7.4%) meningiomas. A prognostic model predicting the probability of WHO grade 2 skull base meningioma (AUC 0.79; SE 0.04; 95% Wald Confidence Limits (0.71; 0.86)) based on meningioma diameter, presence of an arachnoid plane and cranial nerve palsy was built. Accurate preoperative detection of WHO grade in skull base meningiomas is essential for effective treatment planning. Our logistic regression model, based on diameter, cranial nerve palsy, and arachnoid plane, is tailored for detecting WHO grade 2 skull base meningiomas, even in outpatient settings.
- MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- meningeální nádory * patologie chirurgie diagnostické zobrazování MeSH
- meningeom * patologie chirurgie diagnostické zobrazování MeSH
- mladý dospělý MeSH
- nádory baze lební * patologie chirurgie diagnostické zobrazování MeSH
- prognóza MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stupeň nádoru * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
Tuberkulom mozku a tuberkulózní absces patří mezi vzácné ložiskové formy tuberkulózy postihující centrální nervový systém. Jejich klinická a morfologická prezentace může napodobit primární i sekundární mozkový tumor či bakteriální absces a být tak zdrojem diagnostických rozpaků. Cílem této práce je prezentovat kazuistiky dvou pacientů se solitárním ložiskem tuberkulózního původu a úskalí jeho diagnostiky. I přes dosud klesající incidenci tuberkulózy v ČR lze očekávat, že se s tímto onemocněním budeme nadále setkávat u pacientů na imunosupresivní terapii a obyvatel migrujících z endemických zemí. S ohledem na jejich relativně dobrou kurabilitu by tuberkulózní ložiska neměla být opomenuta v rámci diferenciální diagnostiky intracerebrálních expanzivních lézí.
Brain tuberculomas and tuberculous abscesses are rare focal manifestations of central nervous system tuberculosis. Their clinical and morphological presentation may mimic brain tumors or bacterial abscesses, and therefore be a source of diagnostic ambiguity. The goal of our presentation is to demonstrate two case reports of patients with a solitary lesion of tuberculous origin, and related diagnostic pitfalls. Despite the decrease in tuberculosis incidence in the Czech Republic, it is obvious that physicians may continue to encounter patients with immunosuppressive therapy and migrants from endemic regions. Regarding their relatively favorable therapeutic outcome, focal tuberculous lesions should be considered in the differential diagnosis of intracerebral expansions.
- MeSH
- antikonvulziva terapeutické užití MeSH
- antituberkulotika terapeutické užití MeSH
- biopsie MeSH
- dospělí MeSH
- fatální výsledek MeSH
- hormony kůry nadledvin terapeutické užití MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- počítačová rentgenová tomografie metody MeSH
- senioři MeSH
- stereotaktické techniky MeSH
- tuberkulom intrakraniální * diagnóza terapie MeSH
- tuberkulóza diagnóza patologie terapie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- Publikační typ
- kazuistiky MeSH
Extra‐axiální nádory vycházejí z tkání zevně od pia mater (z arachnoidey, dury mater nebo kosti) a jsou anatomicky oddělené od parenchymu centrální nervové soustavy. Z patologického hlediska představují tyto nádory různorodou skupinu lézí s proměnlivými morfologickými, biologickými, genetickými a klinickými charakteristikami. Taktéž patří do širokého spektra histopatologických podskupin v současné 5. edici WHO klasifikace nádorů CNS. Tento článek poskytuje stručný přehled o spektru těchto nádorů, jejich genetice a úskalích v diferenciální diagnostice. Hlavní důraz je kladen na meningiomy, nádory kraniálních a paraspinálních nervů, ne‐meningoteliální mezenchymální nádory, sekundární nádory mozkových plen a pseudotumory mozkových plen.
Extra-axial tumors originate from tissues outside the pia mater (arachnoid, dura mater, bone), distinct anatomically from the central nervous system parenchyma. Pathologically, these tumors comprise a diverse range of lesions with varying morphological, biological, genetic, and clinical characteristics. They are classified into numerous histopathological subgroups in the latest 5th edition of the WHO classification of CNS tumors. This article offers a concise overview of these tumors, exploring their genetic aspects and addressing key considerations in differential diagnosis. Emphasis is placed on meningiomas, cranial and paraspinal nerve tumors, non-meningothelial mesenchymal tumors, secondary meningeal tumors, and meningeal pseudotumors.
- MeSH
- cauda equina patologie MeSH
- hemangioblastom genetika patologie MeSH
- hemangiopericytom genetika patologie MeSH
- lidé MeSH
- melanom patologie MeSH
- meningeální nádory genetika patologie MeSH
- meningy patologie MeSH
- nádorové biomarkery genetika MeSH
- nádory centrálního nervového systému * genetika patologie MeSH
- neurilemom genetika patologie MeSH
- neuroendokrinní nádory genetika patologie MeSH
- neurofibrom genetika patologie MeSH
- sekundární malignity patologie MeSH
- Check Tag
- lidé MeSH
BACKGROUND: Tumor consistency is considered to be a critical factor for the surgical removal of meningiomas and its preoperative assessment is intensively studied. A significant drawback in the research of predictive methods is the lack of a clear shared definition of tumor consistency, with most authors resorting to subjective binary classification labeling the samples as "soft" and "hard." This classification is highly observer-dependent and its discrete nature fails to capture the fine nuances in tumor consistency. To compensate for these shortcomings, we examined the utility of texture analysis to provide an objective observer-independent continuous measure of meningioma consistency. METHODS: A total of 169 texturometric measurements were conducted using the Brookfield CT3 Texture Analyzer on meningioma samples from five patients immediately after the removal and on the first, second, and seventh postoperative day. The relationship between measured stiffness and time from sample extraction, subjectively assessed consistency grade and histopathological features (amount of collagen and reticulin fibers, presence of psammoma bodies, predominant microscopic morphology) was analyzed. RESULTS: The stiffness measurements exhibited significantly lower variance within a sample than among samples (p = 0.0225) and significant increase with a higher objectively assessed consistency grade (p = 0.0161, p = 0.0055). A significant negative correlation was found between the measured stiffness and the time from sample extraction (p < 0.01). A significant monotonic relationship was revealed between stiffness values and amount of collagen I and reticulin fibers; there were no statistically significant differences between histological phenotypes in regard to presence of psammoma bodies and predominant microscopic morphology. CONCLUSIONS: We conclude that the values yielded by texture analysis are highly representative of an intrinsic consistency-related quality of the sample despite the influence of intra-sample heterogeneity and that our proposed method can be used to conduct quantitative studies on the role of meningioma consistency.
- MeSH
- kolagen MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- meningeální nádory * chirurgie patologie MeSH
- meningeom * diagnostické zobrazování chirurgie patologie MeSH
- retikulin MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Despite the importance of functional outcome, only a few scoring systems exist to predict neurologic outcome in meningioma surgery. Therefore, our study aims to identify preoperative risk factors and develop the receiver operating characteristics (ROC) models estimating the risk of a new postoperative neurologic deficit and a decrease in Karnofsky performance status (KPS). A multicentric study was conducted in a cohort of 552 consecutive patients with skull base meningiomas who underwent surgical resection from 2014 to 2019. Data were gathered from clinical, surgical, and pathology records as well as radiological diagnostics. The preoperative predictive factors of functional outcome (neurologic deficit, decrease in KPS) were analyzed in univariate and multivariate stepwise selection analyses. Permanent neurologic deficits were present in 73 (13.2%) patients and a postoperative decrease in KPS in 84 (15.2%). Surgery-related mortality was 1.3%. A ROC model was developed to estimate the probability of a new neurologic deficit (area 0.74; SE 0.0284; 95% Wald confidence limits (0.69; 0.80)) based on meningioma location and diameter. Consequently, a ROC model was developed to predict the probability of a postoperative decrease in KPS (area 0.80; SE 0.0289; 95% Wald confidence limits (0.74; 0.85)) based on the patient's age, meningioma location, diameter, presence of hyperostosis, and dural tail. To ensure an evidence-based therapeutic approach, treatment should be founded on known risk factors, scoring systems, and predictive models. We propose ROC models predicting the functional outcome of skull base meningioma resection based on the age of the patient, meningioma size, and location and the presence of hyperostosis and dural tail.
- MeSH
- baze lební MeSH
- hyperostóza * MeSH
- lidé MeSH
- meningeální nádory * MeSH
- meningeom * MeSH
- nádory baze lební * MeSH
- prognóza MeSH
- rizikové faktory MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
