Chaoyue Chen1,2, Xuejin Ou1,3, Hui Li3, Yanjie Zhao3, Fengnian Zhao3, Shengliang Zhou3, Xuelei Ma4,5. 1. State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China. 2. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China. 3. West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. 4. State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China. drmaxuelei@gmail.com. 5. Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China. drmaxuelei@gmail.com.
Abstract
PURPOSE: The purpose of this study was to investigate the relationship between x-ray computed tomography (CT) texture features of small cell lung cancer (SCLC) and the survival of the patients. PROCEDURES: Eighty-eight patients with unresectable SCLCs (extended stage, 57; limited stage, 31) underwent platinum-based chemotherapy at our institution between January 2010 and 2015. All the patients were followed up for at least 18 months or until death. The CT texture features of tumor tissue were extracted from contrast-enhanced CT images taken before antitumor treatment. Receiver operating characteristic (ROC) curve analysis was used to calculate the optimal cutoff values of each texture parameter, based on which the patients were dichotomized into two subgroups to evaluate the prognostic value of each feature. Kaplan-Meier survival analysis and the log rank test were performed to compare the differences of 18-month overall survival (OS) and 6-month event-free survival (EFS) in dichotomized subgroups. Multivariate Cox regression analysis was performed to determine if the features could be taken as independent prognostic factors. RESULTS: A total number of 35 CT texture features were extracted from six matrixes. Four of them (GLCM-Contrast, GLCM-Dissimilarity, Histo-Energy, and Histo-Entropy) were shown to be significantly related to 18-month OS, and two (GLCM-Energy and GLCM-Entropy) were shown to be significantly related to 6-month EFS. Cox regression suggested that GLCM-Dissimilarity was independently associated with OS, while GLCM-Energy were independently associated with EFS. CONCLUSIONS: The texture features of contrast-enhanced computed tomography image could potentially serve as radiological prognostic biomarkers for SCLC patients.
PURPOSE: The purpose of this study was to investigate the relationship between x-ray computed tomography (CT) texture features of small cell lung cancer (SCLC) and the survival of the patients. PROCEDURES: Eighty-eight patients with unresectable SCLCs (extended stage, 57; limited stage, 31) underwent platinum-based chemotherapy at our institution between January 2010 and 2015. All the patients were followed up for at least 18 months or until death. The CT texture features of tumor tissue were extracted from contrast-enhanced CT images taken before antitumor treatment. Receiver operating characteristic (ROC) curve analysis was used to calculate the optimal cutoff values of each texture parameter, based on which the patients were dichotomized into two subgroups to evaluate the prognostic value of each feature. Kaplan-Meier survival analysis and the log rank test were performed to compare the differences of 18-month overall survival (OS) and 6-month event-free survival (EFS) in dichotomized subgroups. Multivariate Cox regression analysis was performed to determine if the features could be taken as independent prognostic factors. RESULTS: A total number of 35 CT texture features were extracted from six matrixes. Four of them (GLCM-Contrast, GLCM-Dissimilarity, Histo-Energy, and Histo-Entropy) were shown to be significantly related to 18-month OS, and two (GLCM-Energy and GLCM-Entropy) were shown to be significantly related to 6-month EFS. Cox regression suggested that GLCM-Dissimilarity was independently associated with OS, while GLCM-Energy were independently associated with EFS. CONCLUSIONS: The texture features of contrast-enhanced computed tomography image could potentially serve as radiological prognostic biomarkers for SCLCpatients.
Entities:
Keywords:
Biomarker; CT; Small cell lung cancer; Survival; Texture analysis
Authors: Hao Wang; Yongkang Zhou; Xiao Wang; Yin Zhang; Chi Ma; Bo Liu; Qing Kong; Ning Yue; Zhiyong Xu; Ke Nie Journal: Front Oncol Date: 2021-11-17 Impact factor: 6.244