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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinics in Laborator...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinics in Laboratory Medicine
Article . 1991 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Effusion Cytology

Authors: H, Ehya;

Effusion Cytology

Abstract

Cytologic evaluation is the best way to detect the presence of malignancy in body cavity fluids. Although a positive diagnosis is highly reliable, a negative result does not rule out a malignant cause. Adenocarcinomas, well-differentiated squamous carcinomas, small-cell carcinomas, malignant melanomas, large-cell lymphomas, and acute leukemias are accurately classified when present in effusions. The definitive diagnosis of malignant mesothelioma, small-cell lymphomas, and chronic leukemias, and subclassification of sarcomas and poorly differentiated neoplasms are difficult and may require additional diagnostic techniques. With a few exceptions, the exact causes of benign effusions cannot be determined by cytologic methods.

Related Organizations
Keywords

Pleural Effusion, Cytodiagnosis, Neoplasms, Ascitic Fluid, Humans, Exudates and Transudates

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
Related to Research communities
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