[«Masks¼ of CNS demyelinating diseases. Primary lymphoma]. / «Maski¼ demieliniziruyushchikh zabolevanii TsNS. Pervichnaya limfoma.

Primary central nervous system lymphoma (PCNSL) is a rare neoplasm that can affect the brain, eyes, and, rarely, the spinal cord. Clinical presentation and MRI findings can mimic a variety of diseases, including high-grade gliomas, infectious and granulomatous diseases, and demyelinating diseases. We describe three cases where the diagnosis of PCNSL was difficult due to an ambiguous clinical, radiological and laboratory results. The role of stereotactic biopsy remains leading in differential diagnosis; however, the invasiveness and frequent limitations of this method determine the search for additional biological markers of the disease. New evidence suggests a potential role for cerebrospinal fluid (CSF) cytokine profiles and proteomic analysis in differential diagnosis, disease progression, and treatment response.

Diagnosis of pediatric central nervous system tumors using methylation profiling of cfDNA from cerebrospinal fluid.

Pediatric central nervous system tumors remain challenging to diagnose. Imaging approaches do not provide sufficient detail to discriminate between different tumor types, while the histopathological examination of tumor tissue shows high inter-observer variability. Recent studies have demonstrated the accurate classification of central nervous system tumors based on the DNA methylation profile of a tumor biopsy. However, a brain biopsy holds significant risk of bleeding and damaging the surrounding tissues. Liquid biopsy approaches analyzing circulating tumor DNA show high potential as an alternative and less invasive tool to study the DNA methylation pattern of tumors. Here, we explore the potential of classifying pediatric brain tumors based on methylation profiling of the circulating cell-free DNA (cfDNA) in cerebrospinal fluid (CSF). For this proof-of-concept study, we collected cerebrospinal fluid samples from 19 pediatric brain cancer patients via a ventricular drain placed for reasons of increased intracranial pressure. Analyses on the cfDNA showed high variability of cfDNA quantities across patients ranging from levels below the limit of quantification to 40 ng cfDNA per milliliter of CSF. Classification based on methylation profiling of cfDNA from CSF was correct for 7 out of 20 samples in our cohort. Accurate results were mostly observed in samples of high quality, more specifically those with limited high molecular weight DNA contamination. Interestingly, we show that centrifugation of the CSF prior to processing increases the fraction of fragmented cfDNA to high molecular weight DNA. In addition, classification was mostly correct for samples with high tumoral cfDNA fraction as estimated by computational deconvolution (> 40%). In summary, analysis of cfDNA in the CSF shows potential as a tool for diagnosing pediatric nervous system tumors especially in patients with high levels of tumoral cfDNA in the CSF. Further optimization of the collection procedure, experimental workflow and bioinformatic approach is required to also allow classification for patients with low tumoral fractions in the CSF.

Logistic regression modeling of cytokines for cerebrospinal fluid evaluation in primary central nervous system lymphoma.

BACKGROUND: The diagnostic utility of cerebrospinal fluid (CSF) cytology encounters impediments stemming from variability in cell collection techniques and pathologists' morphological acumen, resulting in wide-ranging CSF positivity rates for primary central nervous system lymphomas (PCNSL). Such disparity impacts patient evaluation, treatment stratagem, and prognostication. Thus, this study endeavors to explore liquid biomarkers complementary to CSF cytology or immunophenotype analysis in the diagnosis of CSF involvement. METHODS: 398 newly diagnosed PCNSL patients were categorized into CSF involvement and non-involvement groups based on CSF cytology and immunophenotype analysis. Binary logistic regression analysis was performed on 338 patients to investigate factors predicting CSF involvement and to develop a joint prediction model. An additional cohort of 60 PCNSL patients was recruited for model validation. Statistical analyses included the Mann-Whitney U test for comparing various CSF parameters between two groups. ROC curve analyses were performed for each biomarker to identify PCNSL CSF involvement. RESULTS: The cytokine IL-10 level in CSF has emerged as the most promising biomarker for CSF evaluation, boasting an ROC AUC of 0.922. C-TNFα and soluble C-IL2R demonstrate efficacy in quantifying tumor burden within the CSF. Logistic regression identified C-IL10lg (OR = 30.103, P < 0.001), C-TNC (OR = 1.126, P < 0.001), C-IL2Rlg (OR = 3.743, P = 0.029) as independent predictors for CSF involvement, contributing to a joint predictive model with an AUC of 0.935, sensitivity of 74.1 %, and specificity of 93.0 %. Validation of the model in an independent cohort confirmed its effectiveness, achieving an AUC of 0.9713. CONCLUSIONS: The identification of these feasible biomarkers and the development of an accurate prediction model may facilitate the precise evaluation of CSF status in PCNSL, offering significant advancements in patient management.

Primary diffuse large B-cell lymphoma of the central nervous system identified with CSF biomarkers.

BACKGROUND: Diagnosis of primary diffuse large B-cell lymphoma of the central nervous system (PCNSL) is challenging and often delayed. MRI imaging, CSF cytology and flow cytometry have a low sensitivity and even brain biopsies can be misleading. We report three cases of PCNSL with various clinical presentation and radiological findings where the diagnosis was suggested by novel CSF biomarkers and subsequently confirmed by brain biopsy or autopsy. CASE PRESENTATIONS: The first case is a 79-year-old man with severe neurocognitive dysfunction and static ataxia evolving over 5 months. Brain MRI revealed a nodular ventriculitis. An open brain biopsy was inconclusive. The second case is a 60-year-old woman with progressive sensory symptoms in all four limbs, evolving over 1 year. Brain and spinal MRI revealed asymmetric T2 hyperintensities of the corpus callosum, corona radiata and corticospinal tracts. The third case is a 72-year-old man recently diagnosed with primary vitreoretinal lymphoma of the right eye. A follow-up brain MRI performed 4 months after symptom onset revealed a T2 hyperintense fronto-sagittal lesion, with gadolinium uptake and perilesional edema. In all three cases, CSF flow cytometry and cytology were negative. Mutation analysis on the CSF (either by digital PCR or by next generation sequencing) identified the MYD88 L265P hotspot mutation in all three cases. A B-cell clonality study, performed in case 1 and 2, identified a monoclonal rearrangement of the immunoglobulin light chain lambda (IGL) and kappa (IGK) gene. CSF CXCL-13 and IL-10 levels were high in all three cases, and IL-10/IL-6 ratio was high in two. Diagnosis of PCNSL was later confirmed by autopsy in case 1, and by brain biopsy in case 2 and 3. CONCLUSIONS: Taken together, 5 CSF biomarkers (IL-10, IL-10/IL-6 ratio, CXCL13, MYD88 mutation and monoclonal IG gene rearrangements) were strongly indicative of a PCNSL. Using innovative CSF biomarkers can be sensitive and complementary to traditional CSF analysis and brain biopsy in the diagnosis of PCNSL, potentially allowing for earlier diagnosis and treatment.

Prognostic Value of CSF IL-10 at Early Assessment of Induction Chemotherapy in Primary CNS Lymphomas: A LOC Network Study.

OBJECTIVES: Despite a high response rate at the first evaluation during induction chemotherapy, the risk of early relapse remains high and unpredictable in primary CNS lymphomas (PCSNLs). We aimed to assess the prognostic value of early IL-10 levels in CSF (e-IL-10) after 2 months of induction chemotherapy. METHODS: We retrospectively selected from the LOC (Lymphomes Oculo-Cérébraux) network database patients with PCSNLs who had complete or partial response at the 2-month evaluation of a high-dose methotrexate-based first-line chemotherapy for whom e-IL-10 was available. RESULTS: Thirty patients (median age: 62 years, brain involvement in 30/30, CSF involvement in 10/30, median baseline CSF IL-10: 27.5 pg/mL) met the selection criteria. e-IL-10 was undetectable in 22 patients and detectable in 8 patients. At the end of induction treatment, 7 of 8 and 4 of 22 of the patients with detectable and undetectable e-IL-10 had experienced progressive disease, respectively (p = 0.001, OR: 26.8, 95% CI 2-1,478). The median progression-free survival times were 5.8 months (95% CI 2.8-8.8) and 28.7 months (95% CI 13.4-43.9) in the groups with detectable and undetectable e-IL-10, respectively (p < 0.001). DISCUSSION: Our results suggest that despite an objective response, the persistence of detectable e-IL-10 is associated with a high risk of early relapse in PCNSL. A closer follow-up of such patients is warranted.

Systematic Review of Cerebrospinal Fluid Biomarker Discovery in Neuro-Oncology: A Roadmap to Standardization and Clinical Application.

Effective diagnosis, prognostication, and management of CNS malignancies traditionally involves invasive brain biopsies that pose significant risk to the patient. Sampling and molecular profiling of cerebrospinal fluid (CSF) is a safer, rapid, and noninvasive alternative that offers a snapshot of the intracranial milieu while overcoming the challenge of sampling error that plagues conventional brain biopsy. Although numerous biomarkers have been identified, translational challenges remain, and standardization of protocols is necessary. Here, we systematically reviewed 141 studies (Medline, SCOPUS, and Biosis databases; between January 2000 and September 29, 2022) that molecularly profiled CSF from adults with brain malignancies including glioma, brain metastasis, and primary and secondary CNS lymphomas. We provide an overview of promising CSF biomarkers, propose CSF reporting guidelines, and discuss the various considerations that go into biomarker discovery, including the influence of blood-brain barrier disruption, cell of origin, and site of CSF acquisition (eg, lumbar and ventricular). We also performed a meta-analysis of proteomic data sets, identifying biomarkers in CNS malignancies and establishing a resource for the research community.

Liquid biopsy for improving diagnosis and monitoring of CNS lymphomas: A RANO review.

BACKGROUND: The utility of liquid biopsies is well documented in several extracranial and intracranial (brain/leptomeningeal metastases, gliomas) tumors. METHODS: The RANO (Response Assessment in Neuro-Oncology) group has set up a multidisciplinary Task Force to critically review the role of blood and cerebrospinal fluid (CSF)-liquid biopsy in CNS lymphomas, with a main focus on primary central nervous system lymphomas (PCNSL). RESULTS: Several clinical applications are suggested: diagnosis of PCNSL in critical settings (elderly or frail patients, deep locations, and steroid responsiveness), definition of minimal residual disease, early indication of tumor response or relapse following treatments, and prediction of outcome. CONCLUSIONS: Thus far, no clinically validated circulating biomarkers for managing both primary and secondary CNS lymphomas exist. There is need of standardization of biofluid collection, choice of analytes, and type of technique to perform the molecular analysis. The various assays should be evaluated through well-organized central testing within clinical trials.

Intrathecal IgM synthesis as a diagnostic marker in patients with suspected CNS lymphoma.

For CNS lymphomas (CNSL), there is a high need for minimally invasive and easily obtainable diagnostic markers. Intrathecal IgM synthesis can easily be determined in routine CSF diagnostics. The aim of this study was to systematically investigate the diagnostic potential of intrathecal IgM synthesis in primary and secondary CNSL (PCNSL and SCNSL). In this retrospective study, patients with a biopsy-proven diagnosis of PCNSL or SCNSL were compared with patients with other neurological diseases in whom CNSL was initially the primary radiological differential diagnosis based on MRI. Sensitivity and specificity of intrathecal IgM synthesis were calculated using receiver operating characteristic curves. Seventy patients with CNSL were included (49 PCNSL and 21 SCNSL) and compared to 70 control patients. The sensitivity and specificity for the diagnosis of CNSL were 49% and 87%, respectively, for the entire patient population and 66% and 91% after selection for cases with tumor access to the CSF system and isolated intrathecal IgM synthesis. In cases with MRI-based radiological suspicion of CNSL, intrathecal IgM synthesis has good specificity but limited sensitivity. Because of its low-threshold availability, analysis of intrathecal IgM synthesis has the potential to lead to higher diagnostic accuracy, especially in resource-limited settings, and deserves further study.

Mass spectrometry-based proteomics of cerebrospinal fluid in pediatric central nervous system malignancies: a systematic review with meta-analysis of individual patient data.

BACKGROUND: The cerebrospinal fluid (CSF) proteome could offer important insights into central nervous system (CNS) malignancies. To advance proteomic research in pediatric CNS cancer, the current study aims to (1) evaluate past mass spectrometry-based workflows and (2) synthesize previous CSF proteomic data, focusing on both qualitative summaries and quantitative re-analysis. MAIN: In our analysis of 11 studies investigating the CSF proteome in pediatric patients with acute lymphoblastic leukemia (ALL) or primary brain tumors, we observed significant methodological variability. This variability negatively affects comparative analysis of the included studies, as per GRADE criteria for quality of evidence. The qualitative summaries covered 161 patients and 134 non-tumor controls, while the application of validation cohort varied among the studies. The quantitative re-analysis comprised 15 B-ALL vs 6 "healthy" controls and 15 medulloblastoma patients vs 22 non-tumor controls. Certain CSF proteins were identified as potential indicators of specific malignancies or stages of neurotoxicity during chemotherapy, yet definitive conclusions were impeded by inconsistent data. There were no proteins with statistically significant differences when comparing cases versus controls that were corroborated across studies where quantitative reanalysis was feasible. From a gene ontology enrichment, we observed that age disparities between unmatched case and controls may mislead to protein correlations more indicative of age-related CNS developmental stages rather than neuro-oncological disease. Despite efforts to batch correct (HarmonizR) and impute missing values, merging of dataset proved unfeasible and thereby limited meaningful data integration across different studies. CONCLUSION: Infrequent publications on rare pediatric cancer entities, which often involve small sample sizes, are inherently prone to result in heterogeneous studies-particularly when conducted within a rapidly evolving field like proteomics. As a result, obtaining clear evidence, such as CSF proteome biomarkers for CNS dissemination or early-stage neurotoxicity, is currently impractical. Our general recommendations comprise the need for standardized methodologies, collaborative efforts, and improved data sharing in pediatric CNS malignancy research. We specifically emphasize the possible importance of considering natural age-related variations in CSF due to different CNS development stages when matching cases and controls in future studies.

Cerebrospinal Fluid cfDNA Sequencing for Classification of Central Nervous System Glioma.

PURPOSE: Primary central nervous system (CNS) gliomas can be classified by characteristic genetic alterations. In addition to solid tissue obtained via surgery or biopsy, cell-free DNA (cfDNA) from cerebrospinal fluid (CSF) is an alternative source of material for genomic analyses. EXPERIMENTAL DESIGN: We performed targeted next-generation sequencing of CSF cfDNA in a representative cohort of 85 patients presenting at two neurooncological centers with suspicion of primary or recurrent glioma. Copy-number variation (CNV) profiles, single-nucleotide variants (SNV), and small insertions/deletions (indel) were combined into a molecular-guided tumor classification. Comparison with the solid tumor was performed for 38 cases with matching solid tissue available. RESULTS: Cases were stratified into four groups: glioblastoma (n = 32), other glioma (n = 19), nonmalignant (n = 17), and nondiagnostic (n = 17). We introduced a molecular-guided tumor classification, which enabled identification of tumor entities and/or cancer-specific alterations in 75.0% (n = 24) of glioblastoma and 52.6% (n = 10) of other glioma cases. The overlap between CSF and matching solid tissue was highest for CNVs (26%-48%) and SNVs at predefined gene loci (44%), followed by SNVs/indels identified via uninformed variant calling (8%-14%). A molecular-guided tumor classification was possible for 23.5% (n = 4) of nondiagnostic cases. CONCLUSIONS: We developed a targeted sequencing workflow for CSF cfDNA as well as a strategy for interpretation and reporting of sequencing results based on a molecular-guided tumor classification in glioma. See related commentary by Abdullah, p. 2860.

Patterns and prognostic impact of CNS infiltration in adults with newly diagnosed acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) is highly associated with central nervous system (CNS) infiltration and can be associated with higher risk of relapse. Conventional cytology (CC) is the traditional method for diagnosing CNS infiltration, although the use of immunophenotyping by flow cytometry (FC) has gained prominence in recent years due to its higher sensitivity. Also, some authors have proposed that CSF contamination by a traumatic lumbar puncture (TLP) could have a clinical impact. This retrospective study accessed the impact of CNS infiltration by CC or FC on overall survival, event-free survival, and relapse rate. In a cohort of 105 newly diagnosed ALL patients, CNS1, CNS2, and CNS3 status were found in 84%, 14%, and 2%, respectively. We found that extramedullary disease at the diagnosis, higher leukocyte counts, and higher blast percentage were associated with a positive CC. Sensitivity and specificity of CC were 53% and 98%, respectively. Three-year overall survival was 42.5%. Conversely, TLP was not associated with a positive CC nor had an impact on relapse rates. In multivariate analysis, a positive CC was associated with an increased relapse rate (HR 2.074, p = 0.037), while its detection by FC did not associate with this endpoint. Survival rates seem to be increasing over the last years by the adoption of a stratified CNS prophylaxis risk strategy. CSF contamination does not represent a major concern according to our report, as it did not increase CNS involvement or relapse rates.

Higher positive identification of malignant CSF cells using the cytocentrifuge than the Suta chamber / A identificação de células neoplásicas no LCR foi maior com o uso da citocentrifuga do que com câmara de Suta

ABSTRACT Objective To define how to best handle cerebrospinal fluid (CSF) specimens to obtain the highest positivity rate for the diagnosis of malignancy, comparing two different methods of cell concentration, sedimentation and cytocentrifugation. Methods A retrospective analysis of 411 CSF reports. Results This is a descriptive comparative study. The positive identification of malignant CSF cells was higher using the centrifuge than that using the Suta chamber (27.8% vs. 19.0%, respectively; p = 0.038). Centrifuge positively identified higher numbers of malignant cells in samples with a normal concentration of white blood cells (WBCs) (< 5 cells/mm3) and with more than 200 cells/mm3, although this was not statistically significant. There was no lymphocyte loss using either method. Conclusions Cytocentrifugation positively identified a greater number of malignant cells in the CSF than cytosedimentation with the Suta chamber. However, there was no difference between the methods when the WBC counts were within the normal range.

RESUMO Objetivo Definir qual a melhor forma de concentrar amostras de LCR para obter maior porcentagem de positividade para o diagnóstico de infiltração neoplásica. comparando dois métodos diferentes de concentração de células, sedimentação e citocentrifugação. Métodos Análise retrospectiva de 411 laudos de LCR. Resultados Estudo comparativo descritivo. A identificação de células neoplásicas no LCR foi mais elevada quando usada a citocentrífuga do que a câmara de Suta (28% vs 19,0%, respectivamente; p = 0,038). Centrifugação identificou maior número de células neoplásicas em amostras com concentração de células < 5 células/mm3 e superior a 200 células/mm3, embora não significativo. Não houve perda de linfócitos usando qualquer um dos métodos. Conclusões A citocentrifugação identificou um número maior de células malignas no LCR do que a sedimentação com a câmara de Suta. No entanto, não houve diferença entre os métodos quando as contagens de leucócitos estavam dentro do intervalo normal.

Cerebrospinal fluid approach on neuro-oncology / Estudo do liquido cefalorraquiano em neuro-oncologia

Central nervous system (CNS) involvement is a major complication of haematological and solid tumors with an incidence that ranges from 10% in solid malignances up to 25% in specific leukaemia or lymphoma subtypes. Cerebrospinal fluid (CSF) patterns are unspecific. Though CSF cytology has a high specificity (up to 95%), its sensitivity is generally less than 50% and no diagnostic gold standard marker is available, yet. New technologies such as flow cytometry, molecular genetics and newer biomarkers may improve diagnostic sensitivity and specificity, leading to the CNS involvement diagnosis, and consequently, to an effective prophylaxis and successful treatment.

O envolvimento do sistema nervoso central (SNC) é uma das maiores complicações das neoplasias de linhagem hematológica e dos tumores sólidos, com uma incidência que varia de 10% nestes últimos até 25% nas leucemias e subtipos de linfomas. Os padrões do líquido cefalorraquiano (LCR) nestes casos é inespecífico. Embora a citologia do LCR tenha uma alta especificidade (acima de 95%), sua sensibilidade é geralmente menor que 50%, e nenhum marcador biológico de padrão-ouro é disponível até o momento. Novas tecnologias, como a citologia de fluxo, a genética molecular e novos biomarcadores poderão aumentar a sensibilidade e especificidade no diagnóstico, levando ao diagnóstico de envolvimento do SNC, e consequentemente a profilaxia efetiva e tratamento bem sucedido.

Quantification of cerebrospinal fluid ferritin as a biomarker for CNS malignant infiltration / Quantificação de ferritina no líquido cefalorraquidiano como biomarcador para o diagnóstico de infiltração maligna no SNC

Several markers have been studied for their ability to make the CNS infiltration diagnosis earlier and more precise; previous studies showed that CSF ferritin concentrations were higher in patients with malignant invasion of CNS. The objective was to determine the importance of CSF ferritin as a biomarker for the diagnosis of CNS neoplasic infiltration. This study is based on 93 CSF samples, divided into five groups: malignant cells present (n13); malignant cells not present (n26); inflammatory neurological diseases (n16); neurocysticercosis (n20); acute bacterial meningitis (n18). CSF ferritin values were determined by micro particle enzyme immunoassay. CSF ferritin level (mean±SD) in the group with neoplasic cells in the CSF was 42.8±49.7 ng /mL, higher than in the other groups (p<0.0001). We conclude that CSF ferritin with the cut off 20 ng/mL could be an adjuvant biomarker to the diagnosis of CNS malignant infiltration.

Diversos marcadores foram estudados com a finalidade de avaliar sua capacidade de diagnosticar a infiltração neoplásica no SNC precocemente e de forma mais precisa. Estudos anteriores mostraram que as concentrações de ferritina no LCR eram mais elevadas nos pacientes com infiltração neoplásica no SNC. O objetivo foi determinar a importância da ferritina no LCR como biomarcador para o diagnóstico de infiltração neoplásica no SNC. Este estudo é baseado em 93 amostras do LCR, divididas em cinco grupos: células malignas presentes (n13); células malignas ausentes (n26); doenças neurologicas inflamatórias (n16); neurocisticercose (n20); meningites bacterianas agudas (n18). Os valores de ferritina no LCR foram determinados por ELISA de microparticulas. O nível de ferritina no LCR (média±desvio padrão) no grupo com células neoplásicas no LCR foi 42,8±49,7 ng/mL, mais elevado do que nos outros grupos (p<0.0001). Concluímos que a ferritina no LCR com cut off de 20 ng/mL pode ser um biomarcador para o diagnóstico de infiltração maligna no SNC.

Cerebrospinal fluid cytological and biochemical characteristics in the presence of CNS neoplasia

Central nervous system (CNS) infiltration must be ruled out in patients with known neoplastic diseases and neurological symptoms. It was done a retrospective analysis of 1,948 CSF samples from patients with suspected malignant infiltration in the CNS, in order to evaluate the positivity rate of malignant cells in cerebrospinal fluid (CSF) samples and correlate with cytochemical characteristics. Sixty-two percent of subjects had acute lymphocytic leukemia. Malignant cells were found in 24 percent of all CSF samples. Subjects with positive malignant cells had predominance of increased levels of CSF total protein (TP), glucose and total cytology (p<0.05). Mean total cell count in this group was 232 (SD 933) cells/mm³, compared to 9 (SD 93) cells/mm³ in the group without neoplasic cells (p=0.029). CSF TP specificity was 87 percent and negative predictive value (NPV) 96 percent. CSF total cell count specificity 86 percent and NPV 97 percent. Although sensitivity and positive predictive value were low. The presence of inflammatory cells and elevated TP found in patients with malignant cells in the CSF can aid in diagnosing CNS neoplasms.

A infiltração neoplásica no SNC deve ser afastada em pacientes com neoplasia e sintomas neurológicos. Foi realizada uma análise retrospectiva de 1.948 amostras de LCR de pacientes com suspeita de infiltração neoplásica no SNC. Sessenta e dois por cento dos pacientes eram portadores de leucemia linfocitica aguda. Células neoplásicas foram encontradas em 24 por cento de todas as amostras. Houve níveis aumentados no LCR da proteína total (PT), glicose e de citologia global (p<0.05), no grupo com presença de células neoplásicas. A média da contagem global de células no LCR, neste grupo, foi 232±933 cels/mm³, contra 9±93 cells/mm³ no grupo sem células neoplásicas no LCR (p=0,029). O aumento de PT no LCR apresentou especificidade 87 por cento e valor preditivo negativo (VPN) 96 por cento. A contagem global de células no LCR apresentou especificidade 86 por cento e VPN 97 por cento. Porém sensibilidade e valores preditivos positivos foram baixos. A presença de células inflamatórias e PT no LCR elevada em pacientes com neoplasias pode ser um indicador do envolvimento no SNC.

Central nervous system metastases from breast carcinoma: a clinical and laboratorial study in 47 patients

In this retrospective study, 47 patients with clinical diagnosis of central nervous system metastases of breast cancer were evaluated by computerized tomography (CT), magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) examination. The patients were divided in 2 groups: 1, without leptomeningeal neoplasm and 2, with leptomeningeal neoplasm. In the group 2, the time interval between the primary disease and the central nervous system metastasis as well as the survival time were shorter than in group 1 (40 and 4.3 months in group 2 versus 57 and 10 months respectively, in group 1). In both groups the most common neurological symptons and signs were intracranial hypertension and motor deficits. The most sensitive diagnostic methods were CT and MRI in group 1, and the CSF examination in group 2. The use of the tumor markers CEA and CA-15.3 in the routine examination of CSF showed promissing results, mainly in leptomeningeal forms.