CT影像组学对结直肠癌肝转移的诊断价值

doi:10.12117/jccmi.2018.11.008

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Abstract Objective: To explore the predictive value of a CT-based radiomics for liver metastasis in colorectal cancer. Methods: In the retrospective study, 100 patients with pathologically confirmed by surgery to colorectal cancer and preoperative contrast-enhanced CT examination in the First Hospital of Jilin University from June to December 2017 were included(50 cases with liver metastasis; 50 cases without liver metastasis). The patients were divided into modeling group(80 cases) and testing group(20 cases) by computer random software according to the ratio of 4∶1. Using the software matlab 2017a and python to extract a list of radiomics features and construct the corresponding radiomics signature. The radiomics signature and clinical variable were included to establish multivariable random forest classifier(RFC) model that was simplified and validated. The efficiency of the model was evaluated by the method of hold-out and cross validation. Results: The discrimination of radiomics signature between the liver metastasis group and non-liver metastasis group is significant(P<0.05). The radiomics signature, carcinoembryonic antigen(CEA), carbohydrate antigen 19-9(CA19-9) expression were showed positive correlation with the liver metastasis of colorectal cancer(P<0.05). The RFC splits modeling group into training dataset and validation dataset as 7∶3, the accuracy is 81.5%, training dataset(AUC=0.991, sensitivity=84.0%, specificity=96.8%, positive predicted value=0.955, negative predictive value=0.882) and validation dataset(AUC=0.811, sensitivity=72.7%, specificity=92.3%, positive predicted value=0.889, negative predictive value=0.800). The accuracy in ten folded cross validation is 81.0%. The accuracy of testing group is 75.0%. Conclusion: The RFC model integrated with the radiomics signature based on CT imaging and clinical characteristic can be useful for diagnosis of liver metastasis in colorectal cancer.

Key words： Colorectal neoplasms Liver neoplasms Neoplasm metastasis Tomography, X-ray computed

Received: 11 August 2018

PACS:	Ｒ735.3
	R735.7
	Ｒ814.42

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	Articles by authors
	GUO Yu1
	LI Ming-yang2
	LIU Xiang-chun1
	WANG Ming-fei1
	LI Xue-yan2
	ZHANG Hui-mao1

Cite this article:

GUO Yu1,LI Ming-yang2,LIU Xiang-chun1, et al. The diagnostic value of CT-based radiomics in liver metastasis of colorectal cancer[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(11): 798-802.

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http://www.jccmi.com.cn/EN/10.12117/jccmi.2018.11.008 OR http://www.jccmi.com.cn/EN/Y2018/V29/I11/798

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