[Correlation between CT Texture Analysis and Synchronous Distant Metastasis in Patients with Lymph Node-negative
Yue Fang1, Guo Rong Wang1, Zhi Wei Wang1
1Department of Radiology,PUMC Hospital,CAMS and PUMC,Beijing 100730,China.
Abstract:
Objective To investigate the correlation between CT texture analysis and synchronous distant metastasis in patients with lymph node-negative colorectal cancer. Methods The preoperative CT images of 82 patients with lymph node-negative colorectal cancer were analyzed retrospectively.There were 12 patients with simultaneous distant metastasis and 70 patients without simultaneous distant metastasis.The maximum plane of the lesion on plain scan and portal CT images was analyzed by TexRAD software.When the spatial scaling factor(SSF)was 0 and 2-6,six texture parameters were obtained,and the differences of texture parameters between the two groups were compared.The counting data were analyzed by chi-square test and the measurement data by Mann-Whitney test. Results There was a significant difference in the skewness of SSF=3 between the simultaneous distant metastasis group and the non-synchronous metastasis group on plain CT scan(P=0.031).On contrast-enhanced CT images,the entropy values of SSF=2,3,5,and 6 were statistically significant(P=0.048,P=0.027,P=0.016,P=0.017),and the peak values of SSF=2 were statistically significant(P=0.026).According to the comprehensive analysis of the texture parameters of the six groups,when the boundary value was 0.636,the sensitivity and specificity for the diagnosis of simultaneous distant metastasis were 75% and 89%,respectively. Conclusion CT texture analysis is useful in the diagnosis of synchronous distant metastasis in patients with lymph node-negative colorectal cancer.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
10:28Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
Published on: January 22, 2018
