Relationship Between CT Perfusion Imaging and the Generation of Micro Lymphatic Vessels in Non-small Cell Lung Cancer
10.3969/j.issn.1005-5185.2015.09.010
- VernacularTitle:非小细胞肺癌CT灌注成像与微淋巴管生成的关系
- Author:
Tao FAN
;
Qinfang HAN
;
Libo PAN
;
Xuewu ZHAO
;
Shusheng WANG
;
Lifeng GUO
- Publication Type:Journal Article
- Keywords:
Carcinoma,non-small-cell lung;
Tomography,X-ray computed;
Perfusion imaging;
Lymphangiogenesis;
Prognosis;
Pathology,surgical
- From:
Chinese Journal of Medical Imaging
2015;(9):674-676,681
- CountryChina
- Language:Chinese
-
Abstract:
PurposeThere is a certain correlation between parameters of CT perfusion imaging and pathological type and angiogenesis in lung cancer, in order to discuss the value of CT perfusion imaging parameters such as blood volume (BV), blood flow (BF), time to peak (TTP) and peak enhancement image (PEI) for prognosis, this study is designed to observe the relationship between the parameters of CT perfusion imaging and micro lymphovascular density (MLVD) in non-small cell lung cancer (NSCLC).Materials and Methods 100 patients were enrolled in the study, all of them underwent CT perfusion imaging and 60 were diagnosed NSCLC by pathology, immunohistochemical staining was performed to determine the expressions of MLVD of the 60 NSCLC, and the correlation analyses were carried out to determine the relationship between CT perfusion imaging and MLVD.Results The expression of MLVD was the most in the peripheral tissue of cancer (25.16±1.28), the next in the cancer tissue (16.38±3.58), and the least in the normal lung tissue (7.56±4.38), the difference was statistically significant (P<0.05). There was positive correlation between MLVD with BF and BV of the tumor (r=0.643 and 0.598, P<0.01).Conclusion Some parameters of CT perfusion imaging are correlated with MLVD, the invasion and metastasis in lung carcinoma can be predicted to some extent according to this correlation. Parameters of CT perfusion imaging such as BF and BV are correlated with MLVD in patients with NSCLC, thus can be used to predict the invasion and metastasis of lung cancer.
