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Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging

文献类型：期刊论文

作者Wang, Tao1,2; Gao, Tingting3; Yang, Jingbo3; Yan, Xuejiao4; Wang, Yubo3; Zhou, Xiaobo5; Tian, Jie6; Huang, Liyu3; Zhang, Ming1
刊名EUROPEAN JOURNAL OF RADIOLOGY
出版日期2019-05-01
卷号114页码:128-135
ISSN号0720-048X
关键词Cervical cancer Lymph nodes Nomograms Magnetic resonance imaging
DOI10.1016/j.ejrad.2019.01.003
通讯作者Huang, Liyu(huangly@mail.xidian.edu.cn) ; Zhang, Ming(zhangming01@mail.xjtu.edu.cn)
英文摘要Objective: To explore an MRI-based radiomics nomogram for preoperatively predicting of pelvic lymph node (PLN) metastasis in patients with early-stage cervical cancer (ECC). Methods: Ninety-six patients with ECC were enrolled in this study. All patients underwent T2WI and DWI scans before radical hysterectomy with PLN dissection surgery. Radiomics features extracted from T2WI and DWI were selected by least absolute shrinkage and selection operation regression for further radimoics signature calculation. The discrimination of this radiomics signature for PLN metastasis was then assessed using a support vector machine (SVM) model. Subsequently, a radiomics nomogram was constructed based on the radiomics signature and clinicopathologic risk factors using a multivariable logistic regression method. The performance of the radiomics nomogram for the preoperative prediction of PLN metastasis was evaluated for discrimination and calibration. Results: The radiomics signatures demonstrated a good discrimination for PLN metastasis. A radiomics signature derived from joint T2WI and DWI yielded higher AUC than the signatures derived from T2WI or DWI alone. The radiomics nomogram integrating the radiomics signature with clinicopathologic risk factors showed a significant improvement over the nomogram based only on clinicopathologic risk factors in the primary cohort(C-index, 0.893 vs. 0.616; P = 4.311x 10(-5)) and validation cohort(C-index, 0.922 vs. 0.799; P = 3.412 x 10(-2)).The calibration curves also showed good agreement. Conclusions: The radiomics nomogram based on joint T2WI and DWI demonstrated an improved prediction ability for PLN metastasis in ECC. This noninvasive and convenient tool may be used to facilitate preoperative identification of PLN metastasis in patients with ECC.
WOS关键词IDENTIFICATION ; IMAGES ; RISK
资助项目National Key Research and Development Program of China[2017YFA0205202] ; National Natural Science Foundation of China[61672422]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者ELSEVIER IRELAND LTD
WOS记录号WOS:000464983700019
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/24934]  
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Huang, Liyu; Zhang, Ming
作者单位1.Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Med Imaging, 277 West Yanta Rd, Xian 710061, Shaanxi, Peoples R China
2.Shaanxi Prov Peoples Hosp, Dept Radiol, Xian 710068, Shaanxi, Peoples R China
3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
4.Shaanxi Prov Peoples Hosp, Room MRI, Xian 710068, Shaanxi, Peoples R China
5.Wake Forest Sch Med, Dept Radiol, Med Ctr Blvd, Winston Salem, NC 27157 USA
6.Chinese Acad Sci, Key Lab Mol Imaging, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Tao,Gao, Tingting,Yang, Jingbo,et al. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging[J]. EUROPEAN JOURNAL OF RADIOLOGY,2019,114:128-135.
APA Wang, Tao.,Gao, Tingting.,Yang, Jingbo.,Yan, Xuejiao.,Wang, Yubo.,...&Zhang, Ming.(2019).Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.EUROPEAN JOURNAL OF RADIOLOGY,114,128-135.
MLA Wang, Tao,et al."Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging".EUROPEAN JOURNAL OF RADIOLOGY 114(2019):128-135.

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来源：自动化研究所

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