Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study

doi:10.3389/fonc.2021.666786

	Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study
	Li, Zhi 2; Zhong, Qi 3; Zhang, Liang 1; Wang, Minhong 5; Xiao, Wenbo 2; Cui, Feng 3; Yu, Fang 6; Huang, Chencui 4; Feng, Zhan 2
刊名	FRONTIERS IN ONCOLOGY
	2021-07-01
卷号	11
关键词	computed tomography logistic regression microsatellite instability colorectal cancer AUC
ISSN号	2234-943X
DOI	10.3389/fonc.2021.666786
通讯作者	Feng, Zhan(gerxyuan@zju.edu.cn)
英文摘要	Objectives To establish and validate a combined radiomics model based on radiomics features and clinical characteristics, and to predict microsatellite instability (MSI) status in colorectal cancer (CRC) patients preoperatively. Methods A total of 368 patients from four hospitals, who underwent preoperative contrast-enhanced CT examination, were included in this study. The data of 226 patients from a single hospital were used as the training dataset. The data of 142 patients from the other three hospitals were used as an independent validation dataset. The regions of interest were drawn on the portal venous phase of contrast-enhanced CT images. The filtered radiomics features and clinical characteristics were combined. A total of 15 different discrimination models were constructed based on a feature selection strategy from a pool of 3 feature selection methods and a classifier from a pool of 5 classification algorithms. The generalization capability of each model was evaluated in an external validation set. The model with high area under the curve (AUC) value from the training set and without a significant decrease in the external validation set was final selected. The Brier score (BS) was used to quantify overall performance of the selected model. Results The logistic regression model using the mutual information (MI) dimensionality reduction method was final selected with an AUC value of 0.79 for the training set and 0.73 for the external validation set to predicting MSI. The BS value of the model was 0.12 in the training set and 0.19 in the validation set. Conclusion The established combined radiomics model has the potential to predict MSI status in CRC patients preoperatively.
WOS关键词	HETEROGENEITY ; RADIOGENOMICS ; MRI
WOS研究方向	Oncology
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000673641700001
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/123336]
专题	中国科学院合肥物质科学研究院
通讯作者	Feng, Zhan
作者单位	1.Univ Chinese Acad Sci, Zhejiang Canc Hosp, Canc Hosp, Dept Radiol, Hangzhou, Peoples R China 2.Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiol, Hangzhou, Peoples R China 3.Hangzhou Hosp Tradit Chinese Med, Dept Radiol, Hangzhou, Peoples R China 4.Beijing Deepwise & League PHD Technol Co Ltd, R&D Ctr, Dept Res Collaborat, Beijing, Peoples R China 5.Wannan Med Coll, Affiliated Hosp 1, Dept Radiol, Wuhu, Peoples R China 6.Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Pathol, Hangzhou, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhi,Zhong, Qi,Zhang, Liang,et al. Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study[J]. FRONTIERS IN ONCOLOGY,2021,11.
APA	Li, Zhi.,Zhong, Qi.,Zhang, Liang.,Wang, Minhong.,Xiao, Wenbo.,...&Feng, Zhan.(2021).Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study.FRONTIERS IN ONCOLOGY,11.
MLA	Li, Zhi,et al."Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study".FRONTIERS IN ONCOLOGY 11(2021).