Dynamic Contrast-Enhanced Ultrasound Radiomics for Hepatocellular Carcinoma Recurrence Prediction After Thermal Ablation
文献类型：期刊论文
| 作者 | Ma, Qiu-Ping3; He, Xue-lei2,4; Li, Kai3 ; Wang, Jin-fen3; Zeng, Qing-Jing3; Xu, Er-Jiao3; He, Xu-qi3; Li, Shuo-yang1; Kun, Wang2; Zheng, Rong-Qin3
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| 刊名 | MOLECULAR IMAGING AND BIOLOGY
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| 出版日期 | 2021-01-22 |
| 页码 | 14 |
| ISSN号 | 1536-1632 |
| 关键词 | Radiomics Hepatocellular carcinoma Recurrence Contrast-enhanced ultrasound Thermal ablation |
| DOI | 10.1007/s11307-021-01578-0 |
| 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) |
| 英文摘要 | 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. |
| 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] |
| WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000610012500001 |
| 资助机构 | 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42885]  |
| 专题 | 自动化研究所_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.Univ Wollongong, Fac Engn & Informat Sci, Wollongong, NSW 2522, Australia 2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 3.Sun Yat Sen Univ, Affiliated Hosp 3, Guangdong Key Lab Liver Dis Res, Dept Ultrasound, Guangzhou 510630, Guangdong, Peoples R China 4.Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Shaanxi, Peoples R China |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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