The efficiency of Ki-67 expression and CT imaging features in predicting the degree of lung adenocarcinoma invasion
- VernacularTitle:Ki-67与CT影像学特征预测肺腺癌浸润程度的临床研究
- Author:
Xiaowen ZHANG
1
;
Ziwei ZHAO
2
;
Guanzhi YE
3
;
Yihui FENG
3
;
Xiaolei ZHU
3
;
Guojun GENG
3
;
Jie JIANG
3
Author Information
1. Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, Fujian, P. R. China
2. Department of Pathology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, Fujian, P. R. China
3. Department of Thoracic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian, P. R. China
- Publication Type:Journal Article
- Keywords:
Pulmonary nodules;
Ki-67;
immunohistochemistry;
diagnosis;
imaging features;
lung cancer
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2022;29(10):1277-1283
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the efficiency of Ki-67 expression and CT imaging features in predicting the degree of invasion of lung adenocarcinoma. Methods The clinical data of 217 patients with pulmonary nodules, who were diagnosed as suspicious lung cancer by multi-disciplinary treatment clinic of pulmonary nodules in our hospital from September 2017 to August 2021, were retrospectively analyzed. There were 84 males and 133 females, aged 52 (25-84) years. The patients were divided into two groups according to the infiltration degree, including an adenocarcinoma in situ and microinvasive adenocarcinoma group (n=145) and an invasive adenocarcinoma group (n=72). Results There was no statistical difference in the age and gender between the two groups (P>0.05). The univariate analysis showed that CK-7, P63, P40 and CK56 expressions were not different between the two groups (P=0.172, 0.468, 0.827, 0.313), while Napsin A, TTF-1 and Ki-67 expressions were statistically different (P=0.002, 0.020, <0.001). The multivariate analysis showed that Ki-67 expression was statistically different between the two groups (P<0.001). Ki-67 was positively correlated with malignant features of CT images and the degree of lung adenocarcinoma invasion (P<0.05). Ki-67 and CT imaging features alone could predict the degree of lung adenocarcinoma invasion, but their sensitivity and specificity were not high. Ki-67 combined with CT imaging features could achieve a higher prediction efficiency. Conclusion Compared with Ki-67 or CT imaging features alone, the combined prediction of Ki-67 and imaging features is more effective, which is of great significance for clinicians to select the appropriate operation occasion.
