Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation

doi:10.1007/s11307-021-01578-0

	Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation
	Ma, Qiu-Ping 1; He, Xue-lei 2,3; Li, Kai 1; Wang, Jin-fen 1; Zeng, Qing-Jing 1; Xu, Er-Jiao 1; He, Xu-qi 1; Li, Shuo-yang 4; Kun, Wang2 ; Zheng, Rong-Qin 1; Tian, Jei 2
发表期刊	MOLECULAR IMAGING AND BIOLOGY
ISSN	1536-1632
	2021-01-22
页码	14
通讯作者	Kun, Wang(kun.wang@ia.ac.cn) ; Zheng, Rong-Qin(zhengrq@mail.sysu.edu.cn) ; Tian, Jei(jie.tian@ia.ac.cn)
摘要	Purpose To develop a radiomics model based on dynamic contrast-enhanced ultrasound (CEUS) to predict early and late recurrence in patients with a single HCC lesion <= 5 cm in diameter after thermal ablation. Procedures We enrolled patients who underwent thermal ablation for HCC in our hospital from April 2004 to April 2017. Radiomics based on two branch convolution recurrent network was utilized to analyze preoperative dynamic CEUS image of HCC lesions to establish CEUS model, in comparison to the conventional ultrasound (US), clinical, and combined models. Clinical follow-up of HCC recurrence after ablation were taken as reference standard to evaluate the predicted performance of CEUS model and other models. Results We finally analyzed 318 patients (training cohort: test cohort = 255:63). The combined model showed better performance for early recurrence than CUES (in training cohort, AUC, 0.89 vs. 0.84, P < 0.001; in test cohort, AUC, 0.84 vs. 0.83, P = 0.272), US (P < 0.001), or clinical model (P < 0.001). For late recurrence prediction, the combined model showed the best performance than the CEUS (C-index, in training cohort, 0.77 vs. 0.76, P = 0.009; in test cohort, 0.77 vs. 0.68, P < 0.001), US (P < 0.001), or clinical model (P < 0.001). Conclusions The CEUS model based on dynamic CEUS radiomics performed well in predicting early HCC recurrence after ablation. The combined model combining CEUS, US radiomics, and clinical factors could stratify the high risk of late recurrence.
关键词	Radiomics Hepatocellular carcinoma Recurrence Contrast-enhanced ultrasound Thermal ablation
DOI	10.1007/s11307-021-01578-0
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFC0112000] ; National Natural Science Foundation of China[81827802] ; Science and Technology Planning Project of Guangzhou, China[201704020164] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[YJKYYQ20180048]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Science and Technology Planning Project of Guangzhou, China ; Chinese Academy of Sciences
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000610012500001
出版者	SPRINGER
七大方向——子方向分类	医学影像处理与分析
引用统计	被引频次：28[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42886
专题	中国科学院分子影像重点实验室
通讯作者	Kun, Wang; Zheng, Rong-Qin; Tian, Jei
作者单位	1.Sun Yat Sen Univ, Affiliated Hosp 3, Guangdong Key Lab Liver Dis Res, Dept Ultrasound, Guangzhou 510630, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 3.Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Shaanxi, Peoples R China 4.Univ Wollongong, Fac Engn & Informat Sci, Wollongong, NSW 2522, Australia
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Ma, Qiu-Ping,He, Xue-lei,Li, Kai,et al. Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation[J]. MOLECULAR IMAGING AND BIOLOGY,2021:14.
APA	Ma, Qiu-Ping.,He, Xue-lei.,Li, Kai.,Wang, Jin-fen.,Zeng, Qing-Jing.,...&Tian, Jei.(2021).Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation.MOLECULAR IMAGING AND BIOLOGY,14.
MLA	Ma, Qiu-Ping,et al."Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation".MOLECULAR IMAGING AND BIOLOGY (2021):14.