期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Prognostic value of computed tomography derived skeletal muscle mass index in lung cancer:A meta-analysis
1
作者 xue-lin pan Hong-Jun Li +1 位作者 Zhen Li Zhen-Lin Li 《World Journal of Clinical Cases》 SCIE 2022年第20期6927-6935,共9页
BACKGROUND The prognostic role of the skeletal muscle mass index(SMI)derived from computed tomography(CT)imaging been well verified in several types of cancers.However,whether the SMI could serve as a reliable and val... BACKGROUND The prognostic role of the skeletal muscle mass index(SMI)derived from computed tomography(CT)imaging been well verified in several types of cancers.However,whether the SMI could serve as a reliable and valuable predictor of long-term survival in lung cancer patients remains unclear.AIM To identify the prognostic value of the CT-derived SMI in lung cancer patients.METHODS The PubMed,Web of Science,and Embase electronic databases were searched up to November 5,2021 for relevant studies.The Reference Citation Analysis databases were used during the literature searching and selection.Hazard ratios(HRs)and 95%confidence intervals(CIs)were calculated to assess the association of the SMI with the overall survival(OS)of lung cancer patients.All statistical analyses were performed with STATA 12.0 software.RESULTS A total of 12 studies involving 3002 patients were included.The pooled results demonstrated that a lower SMI was significantly related to poorer OS(HR=1.23,95%CI:1.11-1.37,P<0.001).In addition,the subgroup analyses stratified by treatment(nonsurgery vs surgery),tumor stage(advanced stage vs early stage),and tumor type(non-small cell lung cancer vs lung cancer)showed similar results.CONCLUSION The CT-derived SMI is a novel and valuable prognostic indicator in lung cancer and might contribute to the clinical management and treatment of lung cancer patients. 展开更多
关键词 Skeletal muscle mass index Computed tomography Lung cancer PROGNOSIS META-ANALYSIS
下载PDF
Prognostic value of ground glass opacity on computed tomography in pathological stage I pulmonary adenocarcinoma: A meta-analysis
2
作者 xue-lin pan Zi-Ling Liao +4 位作者 Hui Yao Wei-Jie Yan De-Ying Wen Yan Wang Zhen-Lin Li 《World Journal of Clinical Cases》 SCIE 2021年第33期10222-10232,共11页
BACKGROUND The clinical role of ground glass opacity(GGO)on computed tomography(CT)in stage I pulmonary adenocarcinoma patients currently remains unclear.AIM To explore the prognostic value of GGO on CT in lung adenoc... BACKGROUND The clinical role of ground glass opacity(GGO)on computed tomography(CT)in stage I pulmonary adenocarcinoma patients currently remains unclear.AIM To explore the prognostic value of GGO on CT in lung adenocarcinoma patients who were pathologically diagnosed with tumor-node-metastasis stage I.METHODS A comprehensive and systematic search was conducted through the PubMed,EMBASE and Web of Science databases up to April 3,2021.The hazard ratio(HR)and corresponding 95%confidence interval(CI)were combined to assess the association between the presence of GGO and prognosis,representing overall survival and disease-free survival.Subgroup analysis based on the ratio of GGO was also conducted.STATA 12.0 software was used for statistical analysis.RESULTS A total of 12 studies involving 4467 patients were included.The pooled results indicated that the GGO predicted favorable overall survival(HR=0.44,95%CI:0.34-0.59,P<0.001)and disease-free survival(HR=0.35,95%CI:0.18-0.70,P=0.003).Subgroup analysis based on the ratio of GGO further demonstrated that the proportion of GGO was a good prognostic indicator in pathological stage I pulmonary adenocarcinoma patients,and patients with a higher ratio of GGO showed better prognosis than patients with a lower GGO ratio did.CONCLUSION This meta-analysis manifested that the presence of GGO on CT predicted favorable prognosis in tumor-node-metastasis stage I lung adenocarcinoma.Patients with a higher GGO ratio were more likely to have a better prognosis than patients with a lower GGO ratio. 展开更多
关键词 Ground glass opacity Stage I Lung adenocarcinoma Prognosis Metaanalysis
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部