Morphologic analysis of pulmonary neuroendocrine tumors

Few studies on how to diagnose pulmonary neuroendocrine tumors through morphometric analysis have been reported. In this study, we measured and analyzed the characteristic parameters of pulmonary neuroendocrine tumors using an image analyzer to aid in diagnosis. Sixteen cases of typical carcinoid tu...

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Published inThe Korean journal of pathology Vol. 47; no. 1; pp. 16 - 20
Main Authors Lee, Seung Seok, Kang, Myunghee, Ha, Seung Yeon, An, Jungsuk, Roh, Mee Sook, Ha, Chang Won, Han, Jungho
Format Journal Article
LanguageEnglish
Published Korea (South) The Korean Society of Pathologists and The Korean Society for Cytopathology 01.02.2013
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Summary:Few studies on how to diagnose pulmonary neuroendocrine tumors through morphometric analysis have been reported. In this study, we measured and analyzed the characteristic parameters of pulmonary neuroendocrine tumors using an image analyzer to aid in diagnosis. Sixteen cases of typical carcinoid tumor, 5 cases of atypical carcinoid tumor, 15 cases of small cell carcinoma, and 51 cases of large cell neuroendocrine carcinoma were analyzed. Using an image analyzer, we measured the nuclear area, perimeter, and the major and minor axes. The mean nuclear area was 0.318±0.101 µm(2) in typical carcinoid tumors, 0.326±0.119 µm(2) in atypical carcinoid tumors, 0.314±0.107 µm(2) in small cell carcinomas, and 0.446±0.145 µm(2) in large cell neuroendocrine carcinomas. The mean nuclear circumference was 2.268±0.600 µm in typical carcinoid tumors, 2.408±0.680 µm in atypical carcinoid tumors, 2.158±0.438 µm in small cell carcinomas, and 3.247±1.276 µm in large cell neuroendocrine carcinomas. All parameters were useful in distinguishing large cell neuroendocrine carcinoma from other tumors (p=0.001) and in particular, nuclear circumference was the most effective (p=0.001). Pulmonary neuroendocrine tumors showed nuclear morphology differences by subtype. Therefore, evaluation of quantitative nuclear parameters improves the accuracy and reliability of diagnosis.
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Seung Seok Lee and Myunghee Kang contributed equally to this work.
ISSN:1738-1843
2092-8920
DOI:10.4132/KoreanJPathol.2013.47.1.16