scholarly journals Comparative analysis between cytomorphology and flow cytometry methods in central nervous system infiltration assessment in oncohematological patients

Author(s):  
Juliana Maria Camargos Rocha ◽  
Mitiko Murao ◽  
Camila Silva Peres Cancela ◽  
Luíza Paixão de Oliveira ◽  
Lara Pignaton Perim ◽  
...  
Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3872-3872
Author(s):  
Guylaine Lajeunesse-Viens ◽  
Bernadette Dufault ◽  
Xiaoduan Weng ◽  
Bernard Lemieux ◽  
Marie Florescu

Abstract Introduction: The usefulness of performing a cytocentrifuge preparation (CCP) analysis on cerebrospinal fluid (CSF) containing less than 5 cells has never been studied. To determine if the CCP analysis has a clinical impact on central nervous system (CNS) management of patients with CSF samples containing less than five cells, we correlated the result of CCP to cytomorphology and flow cytometry. Methods: From November 20th 2005 to July 18th 2007, CCP analysis were performed on 105 CSF consecutive samples containing less than 5 cells from patients with various cancers. For each of these samples, a research via computerized data was conducted to obtain cytomorphology and flow cytometry results. If results were positive or inconclusive, the clinical history and treatment were reviewed. Results: All 105 samples had negative CCP results. Of the 105 samples, 74 (70,5%) had available cytomorphologies, with 5 (6,8%) being positive, confirming central nervous system infiltration. All 5 patients received treatment for their CNS involvement. The sensitivity of cytomorphology was 83,3%(5/6) and its specificity 100% (68/68).Of the 105 samples, 23 (21,9%) had available flow cytometries: 4 of the 23 (17,4%) cytometries were positive, 2 correlated by positive cytomorphology and treated. 2 had negative cytomorphology with one patient receiving treatment. The sensitivity of cytometry was 75% (3/4) and the specificity 94,7% (19/20). Conclusion: We found no advantage to performing CCP analysis on CSF samples of less than 5 cells. However, this suggests that performing both cytomorphology and flow cytometry allows a better detection and management of CNS infiltration.


2021 ◽  
Vol 4 (1) ◽  
pp. 11
Author(s):  
Evrysthenis Vartholomatos ◽  
George Vartholomatos ◽  
George A. Alexiou ◽  
Georgios S. Markopoulos

Central nervous system malignancies (CNSMs) are categorized among the most aggressive and deadly types of cancer. The low median survival in patients with CNSMs is partly explained by the objective difficulties of brain surgeries as well as by the acquired chemoresistance of CNSM cells. Flow Cytometry is an analytical technique with the ability to quantify cell phenotype and to categorize cell populations on the basis of their characteristics. In the current review, we summarize the Flow Cytometry methodologies that have been used to study different phenotypic aspects of CNSMs. These include DNA content analysis for the determination of malignancy status and phenotypic characterization, as well as the methodologies used during the development of novel therapeutic agents. We conclude with the historical and current utility of Flow Cytometry in the field, and we propose how we can exploit current and possible future methodologies in the battle against this dreadful type of malignancy.


2015 ◽  
Vol 59 (4) ◽  
pp. 339-344 ◽  
Author(s):  
Juan Xing ◽  
Lisa Radkay ◽  
Sara E. Monaco ◽  
Christine G. Roth ◽  
Liron Pantanowitz

Lyme disease can affect the central nervous system causing a B-cell-predominant lymphocytic pleocytosis. Since most reactions to infection in the cerebrospinal fluid (CSF) are typically T-cell predominant, a B-cell-predominant lymphocytosis raises concern for lymphoma. We present 3 Lyme neuroborreliosis cases in order to illustrate the challenging cytomorphological and immunophenotypic features of their CSF specimens. Three male patients who presented with central nervous system manifestations were diagnosed with Lyme disease. The clinical presentation, laboratory tests, CSF cytological examination and flow-cytometric studies were described for each case. CSF cytology showed lymphocytic pleocytosis with increased plasmacytoid cells and/or plasma cells. Flow cytometry showed the presence of polytypic B lymphocytes with evidence of plasmacytic differentiation in 2 cases. In all cases, Lyme disease was confirmed by the Lyme screening test and Western blotting. In such cases of Lyme neuroborreliosis, flow cytometry of CSF samples employing plasmacytic markers and cytoplasmic light-chain analysis is diagnostically helpful to exclude lymphoma.


Author(s):  
Ka Loong Kelvin Au ◽  
Sarah Latonas ◽  
Afshin Shameli ◽  
Iwona Auer ◽  
Christopher Hahn

ABSTRACT:Background:Flow cytometry of the cerebrospinal fluid (CSF) is used in isolation or as an adjunct to cytology to increase the sensitivity of detecting central nervous system (CNS) lymphoma. We aimed to evaluate the sensitivity of CSF flow cytometry as a diagnostic screening tool for primary CNS lymphoma in patients presenting with undifferentiated neurologic symptoms.Methods:We retrospectively reviewed all CSF samples received by the Calgary Laboratory Services Flow Cytometry Laboratory from 2012 to 2015. Clinical data, laboratory investigations, radiologic imaging studies, and pathological data were analyzed. Clinical review extended to 2 years post-CSF flow cytometric testing.Results:Only 43/763 (5.6%) samples of CSF flow cytometry in 28/573 (4.9%) patients were found to be positive for a hematological malignancy in patients with undifferentiated neurologic symptoms. The overall sensitivity of the test was 13.8% with 25 patients with negative CSF flow cytometry later having a positive biopsy for CNS lymphoma. CSF flow cytometry was negative in all cases when at the time of CSF examination the patient did not have a previous hematological malignancy or findings of abnormal enhancement on MRI (n = 249).Conclusion:CSF flow cytometry has low utility in screening for primary CNS lymphoma in the absence of a previous history of hematologic malignancy or findings of abnormal enhancement on MRI.


2015 ◽  
Vol 287 ◽  
pp. 80-87 ◽  
Author(s):  
Beatrice Macchi ◽  
Francesca Marino-Merlo ◽  
Ugo Nocentini ◽  
Valerio Pisani ◽  
Salvatore Cuzzocrea ◽  
...  

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