Morphologic Analysis of Pulmonary Neuroendocrine Tumors.
- Author:
Seung Seok LEE
1
;
Myunghee KANG
;
Seung Yeon HA
;
Jungsuk AN
;
Mee Sook ROH
;
Chang Won HA
;
Jungho HAN
Author Information
1. Department of Pathology, Gachon University School of Medicine, Incheon, Korea.
- Publication Type:Original Article
- Keywords:
Typical carcinoid tumor;
Atypical carcinoid tumor;
Carcinoma, small cell;
Carcinoma, large cell;
Carcinoma, neuroendocrine;
Pulmonary neuroendocrine tumor
- MeSH:
Carcinoid Tumor;
Carcinoma, Large Cell;
Carcinoma, Neuroendocrine;
Carcinoma, Small Cell;
Neuroendocrine Tumors
- From:Korean Journal of Pathology
2013;47(1):16-20
- CountryRepublic of Korea
- Language:English
-
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 microm2 in typical carcinoid tumors, 0.326+/-0.119 microm2 in atypical carcinoid tumors, 0.314+/-0.107 microm2 in small cell carcinomas, and 0.446+/-0.145 microm2 in large cell neuroendocrine carcinomas. The mean nuclear circumference was 2.268+/-0.600 microm in typical carcinoid tumors, 2.408+/-0.680 microm in atypical carcinoid tumors, 2.158+/-0.438 microm in small cell carcinomas, and 3.247+/-1.276 microm 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.
