Morphologic Analysis of Pulmonary Neuroendocrine Tumors
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초록
Background: 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. Methods: 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. Results: The mean nuclear area was 0.318±0.101 μm2 in typical carcinoid tumors, 0.326±0.119 μm2 in atypical carcinoid tumors, 0.314±0.107 μm2 in small cell carcinomas, and 0.446±0.145 μm2 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). Conclusions: Pulmonary neuroendocrine tumors showed nuclear morphology differences by subtype. Therefore, evaluation of quantitative nuclear parameters improves the accuracy and reliability of diagnosis.
Abstract
Background: 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. Methods: 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. Results: The mean nuclear area was 0.318±0.101 μm2 in typical carcinoid tumors, 0.326±0.119 μm2 in atypical carcinoid tumors, 0.314±0.107 μm2 in small cell carcinomas, and 0.446±0.145 μm2 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). Conclusions: Pulmonary neuroendocrine tumors showed nuclear morphology differences by subtype. Therefore, evaluation of quantitative nuclear parameters improves the accuracy and reliability of diagnosis.
참고문헌 (10)
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