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Dive into the research topics where Claudia Cali is active.

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Featured researches published by Claudia Cali.


Leukemia Research | 2012

Implementation of flow cytometry in the diagnostic work-up of myelodysplastic syndromes in a multicenter approach: report from the Dutch Working Party on Flow Cytometry in MDS

Theresia M. Westers; V H J van der Velden; Canan Alhan; Roelof Bekkema; André C. Bijkerk; Rik A. Brooimans; Claudia Cali; Angelika M. Dräger; Valerie de Haas; Christa Homburg; Anja de Jong; P. A. Kuiper-Kramer; Marije Leenders; Ingrid Lommerse; Jeroen G. te Marvelde; Joke K. van der Molen-Sinke; Bijan Moshaver; André B. Mulder; Frank Preijers; Roger K. Schindhelm; Alita van der Sluijs; Elisabeth R. van Wering; August H. Westra

Flow cytometry (FC) is recognized as an important tool in the diagnosis of myelodysplastic syndromes (MDS) especially when standard criteria fail. A working group within the Dutch Society of Cytometry aimed to implement FC in the diagnostic work-up of MDS. Hereto, guidelines for data acquisition, analysis and interpretation were formulated. Based on discussions on analyses of list mode data files and fresh MDS bone marrow samples and recent literature, the guidelines were modified. Over the years (2005-2011), the concordance between the participating centers increased indicating that the proposed guidelines contributed to a more objective, standardized FC analysis, thereby ratifying the implementation of FC in MDS.


Haematologica | 2017

Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes

Eline M. P. Cremers; Theresia M. Westers; Canan Alhan; Claudia Cali; Heleen A. Visser-Wisselaar; Dana A. Chitu; V H J van der Velden; Jeroen G. te Marvelde; Saskia K. Klein; Petra Muus; Edo Vellenga; Georgina E. de Greef; Marie-Cecile Legdeur; Pierre W. Wijermans; Marian Stevens-Kroef; Pedro da Silva-Coelho; Joop H. Jansen; Gert J. Ossenkoppele

Flow cytometric analysis is a recommended tool in the diagnosis of myelodysplastic syndromes. Current flow cytometric approaches evaluate the (im)mature myelo-/monocytic lineage with a median sensitivity and specificity of ~71% and ~93%, respectively. We hypothesized that the addition of erythroid lineage analysis could increase the sensitivity of flow cytometry. Hereto, we validated the analysis of erythroid lineage parameters recommended by the International/European LeukemiaNet Working Group for Flow Cytometry in Myelodysplastic Syndromes, and incorporated this evaluation in currently applied flow cytometric models. One hundred and sixty-seven bone marrow aspirates were analyzed; 106 patients with myelodysplastic syndromes, and 61 cytopenic controls. There was a strong correlation between presence of erythroid aberrancies assessed by flow cytometry and the diagnosis of myelodysplastic syndromes when validating the previously described erythroid evaluation. Furthermore, addition of erythroid aberrancies to two different flow cytometric models led to an increased sensitivity in detecting myelodysplastic syndromes: from 74% to 86% for the addition to the diagnostic score designed by Ogata and colleagues, and from 69% to 80% for the addition to the integrated flow cytometric score for myelodysplastic syndromes, designed by our group. In both models the specificity was unaffected. The high sensitivity and specificity of flow cytometry in the detection of myelodysplastic syndromes illustrates the important value of flow cytometry in a standardized diagnostic approach. The trial is registered at www.trialregister.nl as NTR1825; EudraCT n.: 2008-002195-10


European Journal of Cancer | 2016

Multiparameter flow cytometry is instrumental to distinguish myelodysplastic syndromes from non-neoplastic cytopenias

Eline M. P. Cremers; Theresia M. Westers; Canan Alhan; Claudia Cali; Marielle Wondergem; Pino J. Poddighe; Gert J. Ossenkoppele

Mandatory for the diagnosis of myelodysplastic syndromes (MDS) is the presence of dysplasia in >10% of cells within one or more cell lineages or presence of >15% ring sideroblasts or presence of MDS-associated cytogenetic (CG) abnormalities. Discrimination between neo-plastic and non-neoplastic causes of cytopenias can be challenging when dysplastic features by cytomorphology (CM) are minimal and CG abnormalities are absent or non-discriminating from other myeloid neoplastic disorders. This study evaluated a standard diagnostic approach in 379 patients with unexplained cytopenias and highlights the additional value of flow cytometry (FC) in patients with indeterminate CM and CG. CM reached no clear-cut diagnosis in 44% of the patients. Here, CG was able to identify two additional patients with MDS; other CG results did not reveal abnormalities or were not contributory. Based on the FC results, patients without a diagnosis by CM and CG were categorized no MDS-related features (65%), limited number of MDS-related changes (24%), and consistent with MDS (11%). Patients were followed over time in an attempt to establish or confirm a diagnosis (median follow-up 391 d, range 20-1764). The specificity (true negative) of MDS-FC analysis calculated after follow-up was 95%. FC can aid as a valuable tool to exclude MDS when CM and additional CG are not conclusive in patients with cytopenia.


Cytometry Part B-clinical Cytometry | 2016

Application of flow cytometry for myelodysplastic syndromes: Pitfalls and technical considerations.

Canan Alhan; Theresia M. Westers; Eline M. P. Cremers; Claudia Cali; Gert J. Ossenkoppele

The application of flow cytometry (FC) is recommended as part of the diagnostic approach for MDS. The complexity of flow cytometric analysis of bone marrow cells in MDS has been an obstacle for general application. However, in the past years several studies showed practical flow cytometric approaches for the diagnosis and prognosis of MDS. In this report we discuss technical considerations and highlight issues that require special attention when handling and analyzing bone marrow samples of patients with cytopenia and suspicion of MDS.


Blood | 2010

Flow Cytometric Score Correlates with Clinical Response to Azacitidine In Intermediate-2 and High Risk Myelodysplastic Syndrome Patients

Canan Alhan; Theresia M. Westers; Corien Eeltink; Claudia Cali; Gert J. Ossenkoppele


Blood | 2009

Aberrant Phenotype of Stem Cells as Assessed by Flow Cytometry Discriminates Between Low and High Risk Myelodysplastic Syndromes and Might Be Instrumental in Predicting Leukemic Evolution.

Theresia M. Westers; Canan Alhan; Monique Terwijn; Claudia Cali; Yvonne Fcm van der Veeken; Gerrit Jan Schuurhuis; Gert J. Ossenkoppele


Blood | 2014

Erythroid Lineage Analysis By Flow Cytometry Is of Highly Additive Value for MDS Diagnosis: A Study on Behalf of the HOVON89 Study Group

Eline M. P. Cremers; Theresia M. Westers; Canan Alhan; Claudia Cali; Heleen A. Visser-Wisselaar; Dana A. Chitu; Marian Stevens-Kroef; Pedro Silva Coelho; Edo Vellenga; Saskia K. Klein; Pierre W. Wijermans; Georgine E. de Greef; Marie-Cecile Legdeur; Petra Muus; Gert J. Ossenkoppele; Joop H. Jansen


Blood | 2012

A Five Parameter Based Flow Cytometric Scoring System Refines the Revised International Prognostic Scoring System for Myelodysplastic Syndromes

Canan Alhan; Theresia M. Westers; Eline M.P. Cremers; Claudia Cali; Gert J. Ossenkoppele


Blood | 2010

Validation of a Flow Cytometric Scoring System for the Prognostication of the Myelodysplastic Syndromes: a Retrospective Cohort Study

Canan Alhan; Theresia M. Westers; Claudia Cali; Gert J. Ossenkoppele


Blood | 2008

Quantitative Dynamics of Flow Cytometric Aberrancies during Treatment with Erythropoietin/G-CSF Are Predictive for Responses in LOW/INT-I Risk Myelodysplastic Syndromes.

Theresia M. Westers; Canan Alhan; Claudia Cali; Gert J. Ossenkoppele

Collaboration


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Canan Alhan

VU University Medical Center

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Theresia M. Westers

VU University Medical Center

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Gert J. Ossenkoppele

VU University Medical Center

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Eline M. P. Cremers

VU University Medical Center

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Dana A. Chitu

Erasmus University Rotterdam

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Edo Vellenga

University Medical Center Groningen

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Joop H. Jansen

Radboud University Nijmegen

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