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Diagnóstico e prognóstico dos tumores pulmonares neuroendócrinos mediante microscopia eletrônica e análise multivariavel de agrupamento

Overview of attention for article published in Jornal Brasileiro de Pneumologia, November 2008
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Article details
Title
Diagnóstico e prognóstico dos tumores pulmonares neuroendócrinos mediante microscopia eletrônica e análise multivariavel de agrupamento
Published in
Jornal Brasileiro de Pneumologia, November 2008
DOI 10.1590/s1806-37132008001000008
Pubmed ID
Authors
Abstract

To establish reproducible electron microscopic criteria for identifying the four major types of neuroendocrine tumors of the lung: carcinoid; atypical carcinoid; large cell neuroendocrine carcinoma; and small cell carcinoma. Measurements were made on electron micrographs using a digital image analyzer. Sixteen morphometric variables related to tumor cell differentiation were assessed in 27 tumors. The examination under electron microscopy revealed that all of the tumors could be classified as belonging to one of the four categories listed above. Cluster analysis of the morphometry variables was used to group the tumors into three clusters, and Kaplan-Meier survival function curves were employed in order to draw correlations between each cluster and survival. All three clusters of neuroendocrine carcinomas were found to be associated with survival curves, demonstrating the prognostic significance of electron microscopic features. The tumors fell into three well-defined clusters, which represent the spectrum of neuroendocrine differentiation: typical carcinoid (cluster 1); atypical carcinoid and large cell neuroendocrine carcinoma (cluster 2); and small cell carcinoma (cluster 3). Cluster 2 represents an intermediate step in neuroendocrine carcinogenesis, between typical carcinoid tumors and small cell carcinomas. Our findings confirm that electron microscopy is useful in making the diagnosis and prognosis in cases of lung tumor.

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The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Portugal 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 2 33%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Unknown 2 33%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%