The role of three-dimensional computer quantified CT number analysis in the estimation of prognosis of pathological stage Ⅰ lung adenocarcinoma
Author(s): ZHANG Li, WU Ning, LI Meng, SUN Wei, ZHOU Lina, XU Fei, ZHENG Rongshou, LIN Dongmei
Pages: 593-597
Year: 2017 Issue: 6
Journal: Radiologic Practice
Keyword: Lung neoplasms; Adenocarcinoma; Tomography; X-ray computed; Prognosis;
Abstract: Objective:To investigate the role of three-dimensional computer quantified CT number analysis in the estimation of prognosis of pathological stage Ⅰ pulmonary adenocarcinoma.Methods:The HRCT,clinical and pathological data of 114 patients with stage Ⅰ lung adenocarcinoma who underwent surgical resection in our hospital from January 2005 to December 2012 were retrospectively analyzed.Three-dimensional computer quantified CT number analysis software was used to calculate the proportion of the ground glass opacity (GGO) components and the solid components in the tumor.According to the follow-up results,the patients were divided into progressive group and disease-free survival group.The difference of the clinical,pathologic and HRCT features of the two groups were compared.Multivariate cox regression analysis was used to identify the independent factors.The receiver operating characteristic curve (ROC) was used to determine the critical value of the proportion of the GGO component and the solid component in predicting tumor progression.The disease-free survival (DFS) in different GGO component proportion and solid component proportion was estimated using the Kaplan-meier methods and Log-rank test.Results:Of the 114 patients with stage Ⅰ lung adenocarcinoma,there were 51 patients in the progression group,and 63 in the disease-free survival group.The 5 years disease-free survival rate was 55.3％.Statistically significant differences in gender,smoking status,pathological score,lepidic growth pattern percentage,type of the tumor,GGO component proportion and solid component proportion were detected in the two groups (P≤0.05).Multivariate analysis indicated that the GGO component proportion (P =0.04) and the solid component proportion (P＜0.01)were correlated with the prognosis,and the cut-off values were 0.13 and 0.47,respectively.The patients with GGO component proportion ≥0.13 had a much higher DFS rate (76％) than those with ＜0.13 (39.1％)(P＜0.01).The patients with solid component proportion≥0.47 had a much lower DFS rate (33.3％) than those with ＜0.47 (82.4％)(P＜0.01).Conclusion:The proportion of GGO components and the proportion of solid components calculated by three-dimensional computer quantified CT number analysis could be used to predict the prognosis of early-stage lung adenocarcinoma.
Pages: 593-597
Year: 2017 Issue: 6
Journal: Radiologic Practice
Keyword: Lung neoplasms; Adenocarcinoma; Tomography; X-ray computed; Prognosis;
Abstract: Objective:To investigate the role of three-dimensional computer quantified CT number analysis in the estimation of prognosis of pathological stage Ⅰ pulmonary adenocarcinoma.Methods:The HRCT,clinical and pathological data of 114 patients with stage Ⅰ lung adenocarcinoma who underwent surgical resection in our hospital from January 2005 to December 2012 were retrospectively analyzed.Three-dimensional computer quantified CT number analysis software was used to calculate the proportion of the ground glass opacity (GGO) components and the solid components in the tumor.According to the follow-up results,the patients were divided into progressive group and disease-free survival group.The difference of the clinical,pathologic and HRCT features of the two groups were compared.Multivariate cox regression analysis was used to identify the independent factors.The receiver operating characteristic curve (ROC) was used to determine the critical value of the proportion of the GGO component and the solid component in predicting tumor progression.The disease-free survival (DFS) in different GGO component proportion and solid component proportion was estimated using the Kaplan-meier methods and Log-rank test.Results:Of the 114 patients with stage Ⅰ lung adenocarcinoma,there were 51 patients in the progression group,and 63 in the disease-free survival group.The 5 years disease-free survival rate was 55.3％.Statistically significant differences in gender,smoking status,pathological score,lepidic growth pattern percentage,type of the tumor,GGO component proportion and solid component proportion were detected in the two groups (P≤0.05).Multivariate analysis indicated that the GGO component proportion (P =0.04) and the solid component proportion (P＜0.01)were correlated with the prognosis,and the cut-off values were 0.13 and 0.47,respectively.The patients with GGO component proportion ≥0.13 had a much higher DFS rate (76％) than those with ＜0.13 (39.1％)(P＜0.01).The patients with solid component proportion≥0.47 had a much lower DFS rate (33.3％) than those with ＜0.47 (82.4％)(P＜0.01).Conclusion:The proportion of GGO components and the proportion of solid components calculated by three-dimensional computer quantified CT number analysis could be used to predict the prognosis of early-stage lung adenocarcinoma.
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