首页 / 院系成果 / 成果详情页

Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information 期刊论文

编号：

c590bf59-5929-49fb-a5e3-de7c83b18ba3
作者：

Sa, Sha(萨莎)#^[1]Li, Jing(李晶)^[1]Li, Xiaodong(李晓东)^[1]Li, Yongrui(李永瑞)^[1]Liu, Xiaoming^[2];Wang, Defeng^[3,4];Zhang, Huimao(张惠茅)*^[1]Fu, Yu(付宇)*^[1]
语种：

英文
期刊：

ONCOTARGET ISSN：1949-2553 2017 年 8 卷 33 期 (55308 - 55318) ; AUG
收录：
关键词：

colorectal cancer T-staging model development and validation random forest
摘要：

Objectives: This study aimed to establish and evaluate the efficacy of a prediction model for colorectal cancer T-staging.
Results: T-staging was positively correlated with the level of carcinoembryonic antigen (CEA), expression of carbohydrate antigen 19-9 (CA19-9), wall deformity, blurred outer edges, fat infiltration, infiltration into the surrounding tissue, tumor size and wall thickness. Age, location, enhancement rate and enhancement homogeneity were negatively correlated with T-staging. The predictive results of the model were consistent with the pathological gold standard, and the kappa value was 0.805. The total accuracy of staging improved from 51.04% to 86.98% with the proposed model.
Materials and Methods: The clinical, imaging and pathological data of 611 patients with colorectal cancer (419 patients in the training group and 192 patients in the validation group) were collected. A spearman correlation analysis was used to validate the relationship among these factors and pathological T-staging. A prediction model was trained with the random forest algorithm. T staging of the patients in the validation group was predicted by both prediction model and traditional method. The consistency, accuracy, sensitivity, specificity and area under the curve (AUC) were used to compare the efficacy of the two methods.
Conclusions: The newly established comprehensive model can improve the predictive efficiency of preoperative colorectal cancer T-staging.
推荐引用方式
GB/T 7714：

Sa Sha,Li Jing,Li Xiaodong, et al. Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information [J].ONCOTARGET,2017,8(33):55308-55318.
APA：

Sa Sha,Li Jing,Li Xiaodong,Li Yongrui,&Fu Yu.(2017).Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information .ONCOTARGET,8(33):55308-55318.
MLA：

Sa Sha, et al. "Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information" .ONCOTARGET 8,33(2017):55308-55318.
条目包含文件：

文件类型：PDF,文件大小：

正在加载全文

未找到全文

浏览次数：13  下载次数：0

分享到：

浏览次数：13

下载次数：0

打印次数：0