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Detection of Central Nervous System Infiltration by Myeloid and Lymphoid Hematologic Neoplasms Using Flow Cytometry Analysis: Diagnostic Accuracy Study

Overview of attention for article published in Frontiers in Medicine, May 2018
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Title
Detection of Central Nervous System Infiltration by Myeloid and Lymphoid Hematologic Neoplasms Using Flow Cytometry Analysis: Diagnostic Accuracy Study
Published in
Frontiers in Medicine, May 2018
DOI 10.3389/fmed.2018.00070
Pubmed ID
Authors

Laiz Cameirão Bento, Rodolfo Patussi Correia, Anderson Marega Alexandre, Sonia Tsukasa Nosawa, Eduardo de Carvalho Pedro, Andressa da Costa Vaz, Daniela Schimidell, Gustavo Bruniera Peres Fernandes, Carlos Augusto Senne Duarte, Rodrigo de Souza Barroso, Nydia Strachman Bacal

Abstract

Infiltration of the central nervous system (CNS) by hematologic or lymphoid malignant cells can cause extensive neurological damage, be progressive and fatal. However, usually, the cerebrospinal fluid (CSF) has low cellularity and rapid cell degeneration, which can impair cytometry analysis. Storage and transport measures, sample preparation, and staining protocols can interfere with diagnostic accuracy. To calculate the diagnostic performance of flow cytometry (FC) using a cell stabilizer for sample preservation compared to cytomorphology in the detection of CNS infiltration by lymphoid and hematologic neoplasms. Cell samples from all consecutive patients with suspected infiltration by hematological malignancies evaluated between January 2014 and December 2016 were included. Cases were analyzed by FC using a cell preservation medium and cytomorphology. Sensitivity and specificity were calculated. From 414 CSF samples, 72 had a phenotype compatible with characteristics of infiltration by hematological disease, whereas cytology was positive for 35 cases. FC showed higher sensitivity and specificity when compared to cytomorphology, particularly in cases with cellularity under 5 leukocytes/mm3. We demonstrated that collecting CSF in a medium that preserves the stability of the sample improves accuracy when compared to cytomorphology, particularly in low-volume and low-cellularity samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Other 11 39%
Student > Postgraduate 4 14%
Researcher 3 11%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 8 29%
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 3 11%
Nursing and Health Professions 2 7%
Agricultural and Biological Sciences 2 7%
Other 1 4%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2018.
All research outputs
#18,623,070
of 23,070,218 outputs
Outputs from Frontiers in Medicine
#4,048
of 5,836 outputs
Outputs of similar age
#255,283
of 330,223 outputs
Outputs of similar age from Frontiers in Medicine
#86
of 105 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.