Detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry and its clinical value in the identification of lung cancer.
- Author:
Jian YANG
1
;
Yikai ZHOU
Author Information
1. School of Health, Tongji Medical Collage, Huazhong University of Science and Technology, Wuhan 430030, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Aged;
Aged, 80 and over;
Aneuploidy;
DNA, Neoplasm;
analysis;
Female;
Humans;
Image Cytometry;
methods;
Image Processing, Computer-Assisted;
Lung Neoplasms;
genetics;
pathology;
Male;
Middle Aged;
Sensitivity and Specificity;
Sputum;
cytology
- From:
Journal of Huazhong University of Science and Technology (Medical Sciences)
2004;24(4):407-410
- CountryChina
- Language:English
-
Abstract:
To evaluate the value of detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry for the identification of lung cancer, 100 patients were divided into patient group (50 patients with lung cancer) and control group (30 patients with tuberculosis and 20 healthy people). Sputum was obtained for the quantitative analysis of DNA content of exfoliated airway epithelial cells with the automated image cytometry, together with the examinations of brush cytology and conventional sputum cytology. Our results showed that DNA aneuploidy (DI>2.5 or 5c) was found in 20 out of 50 sputum samples of lung cancer, 1 out of 30 sputum samples from tuberculosis patients, and none of 20 sputum samples from healthy people. The positive rates of conventional sputum cytology and brush cytology were 16% and 32%, which was lower than that of DNA aneuploidy detection by the automated image cytometry (P<0.01, P>0.05). Our study showed-that automated image cytometry, which uses DNA aneuploidy as a marker for tumor, can detect the malignant cells in sputum samples of lung cancer and it is a sensitive and specific method serving as a complement for the diagnosis of lung cancer.