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

doi:10.1007/s00330-019-06655-1

	Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram
	Wang, Tao 1,2; Gao, Tingting 3; Guo, Hua 4; Wang, Yubo 3; Zhou, Xiaobo 5; Tian, Jie 6; Huang, Liyu 3; Zhang, Ming 1
发表期刊	EUROPEAN RADIOLOGY
ISSN	0938-7994
	2020-02-17
页码	9
通讯作者	Huang, Liyu(huangly@mail.xidian.edu.cn) ; Zhang, Ming(zhangming01@mail.xjtu.edu.cn)
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.
关键词	Cervical cancer Parametrial invasion Nomogram Magnetic resonance imaging
DOI	10.1007/s00330-019-06655-1
关键词[WOS]	SCC-AG ; CARCINOMA ; INVOLVEMENT ; IB1 ; IDENTIFICATION ; METASTASIS ; DIAGNOSIS ; SURGERY ; IMAGES ; WOMEN
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFA0205202] ; National Natural Science Foundation of China[61672422] ; National Key Research and Development Program of China[2017YFA0205202] ; National Natural Science Foundation of China[61672422]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000516260600003
出版者	SPRINGER
引用统计	被引频次：36[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/173211/38386
专题	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, Dept Med Imaging, Affiliated Hosp 1, 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, 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.