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Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram

文献类型：期刊论文

作者Wang, Tao1,2; Gao, Tingting3; Guo, Hua4; Wang, Yubo3; Zhou, Xiaobo5; Tian, Jie6; Huang, Liyu3; Zhang, Ming2
刊名EUROPEAN RADIOLOGY
出版日期2020-02-17
页码9
ISSN号0938-7994
关键词Cervical cancer Parametrial invasion Nomogram Magnetic resonance imaging
DOI10.1007/s00330-019-06655-1
通讯作者Huang, Liyu(huangly@mail.xidian.edu.cn) ; Zhang, Ming(zhangming01@mail.xjtu.edu.cn)
英文摘要Purpose To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC). Materials and methods All 137 patients with ECC (FIGO stages IB-IIA) underwent T2WI and DWI scans before radical hysterectomy surgery. The radiomics signatures were calculated with the radiomics features which were extracted from T2WI and DWI and selected by the least absolute shrinkage and selection operation regression. The support vector machine (SVM) models were built using radiomics signatures derived from T2WI and joint T2WI and DWI respectively to evaluate the performance of radiomics signatures for distinguishing patients with PMI. A radiomics nomogram was drawn based on the radiomics signatures with a better performance, patient's age, and pathological grade; its discrimination and calibration performances were estimated. Results For T2WI and joint T2WI and DWI, the radiomics signatures yielded an AUC of 0.797 (95% CI, 0.682-0.911) vs 0.946 (95% CI, 0.899-0.994), and 0.780 (95% CI, 0.641-0.920) vs 0.921 (95% CI, 0.832-1) respectively in the primary and validation cohorts. The radiomics nomogram, integrating the radiomics signatures from joint T2WI and DWI, patient's age, and pathological grade, showed excellent discrimination, with C-index values of 0.969 (95% CI, 0.933-1) and 0.941 (95% CI, 0.868-1) in the primary and validation cohorts, respectively. The calibration curve showed a good agreement. Conclusions The radiomics nomogram performed well for the preoperative prediction of PMI in patients with ECC and may be used as a supplementary tool to provide individualized treatment plans for patients with ECC.
WOS关键词SCC-AG ; CARCINOMA ; INVOLVEMENT ; IB1 ; IDENTIFICATION ; METASTASIS ; DIAGNOSIS ; SURGERY ; IMAGES ; WOMEN
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SPRINGER
WOS记录号WOS:000516260600003
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/173211/38385]  
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.Shaanxi Prov Peoples Hosp, Dept Radiol, Xian 710068, Shaanxi, Peoples R China
2.Xi An Jiao Tong Univ, Dept Med Imaging, Affiliated Hosp 1, 277 West Yanta Rd, Xian 710061, Shaanxi, Peoples R China
3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
4.Shaanxi Prov Peoples Hosp, Ctr Lab, 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,Guo, Hua,et al. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram[J]. EUROPEAN RADIOLOGY,2020:9.
APA Wang, Tao.,Gao, Tingting.,Guo, Hua.,Wang, Yubo.,Zhou, Xiaobo.,...&Zhang, Ming.(2020).Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.EUROPEAN RADIOLOGY,9.
MLA Wang, Tao,et al."Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram".EUROPEAN RADIOLOGY (2020):9.

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来源：自动化研究所

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