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Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions

文献类型：期刊论文

作者Xu, Min1,2; Fang, Mengjie2,3; Zou, Jian5; Yang, Shudong6; Yu, Dongdong2,3; Zhong, Lianzhen2,3; Hu, Chaoen2,3; Zang, Yali2,3; Di, Dong2,3,4; Tian, Jie2,3,4
刊名EUROPEAN JOURNAL OF RADIOLOGY
出版日期2019-05-01
卷号114页码:38-44
关键词Prostate cancer Radiomics Biparametric magnetic resonance imaging Medical imaging
ISSN号0720-048X
DOI10.1016/j.ejrad.2019.02.032
通讯作者Di, Dong(di.dong@ia.ac.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Fang, Xiangming(xiangming_fang@njmu.edu.cn)
英文摘要Purpose: To investigate the efficiency of radiomics signature in discriminating between benign and malignant prostate lesions with similar biparametric magnetic resonance imaging (bp-MRI) findings. Experimental design: Our study consisted of 331 patients underwent bp-MRI before pathological examination from January 2013 to November 2016. Radiomics features were extracted from peripheral zone (PZ), transition zone (TZ), and lesion areas segmented on images obtained by T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and its derivative apparent-diffusion coefficient (ADC) imaging. The individual prediction model, built using the clinical data and biparametric MRI features (Bp signature), was prepared using data of 232 patients and validated using data of 99 patients. The predictive performance was calculated and demonstrated using receiver operating characteristic (ROC) curves, calibration curves, and decision curves. Results: The Bp signature, based on the six selected radiomics features of bp-MRI, showed better discrimination in the validation cohort (area under the curve [AUC], 0.92) than on each subcategory images (AUC, 0.81 on T2WI; AUC, 0.77 on DWI; AUC, 0.89 on ADC). The differential diagnostic efficiency was poorer with the clinical model (AUC, 0.73), built using the selected independent clinical risk factors with statistical significance (P < 0.05), than with the Bp signature. Discrimination efficiency improved when including the Bp signature and clinical factors [i.e., the individual prediction model (AUC, 0.93)]. Conclusion: The Bp signature, based on bp-MRI, performed better than each single imaging modality. The individual prediction model including the radiomics signatures and clinical factors showed better preoperative diagnostic performance, which could contribute to clinical individualized treatment.
WOS关键词ACTIVE SURVEILLANCE ; HISTOGRAM ANALYSIS ; CANCER STATISTICS ; TUMOR-DETECTION ; RESONANCE ; PREDICTION ; BIOPSY ; ELIGIBILITY ; MORTALITY ; DIAGNOSIS
资助项目special program for science and technology development from the Ministry of science and technology, China ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000464983700006
出版者ELSEVIER IRELAND LTD
资助机构special program for science and technology development from the Ministry of science and technology, China ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/24912]  
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Di, Dong; Tian, Jie; Fang, Xiangming
作者单位1.Nanjing Med Univ, Imaging Ctr, Wuxi Peoples Hosp, 299 Qingyang Rd, Wuxi 214023, Jiangsu, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
4.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
5.Nanjing Med Univ, Ctr Clin Res, Wuxi Peoples Hosp, 299 Qingyang Rd, Wuxi 214023, Jiangsu, Peoples R China
6.Nanjing Med Univ, Wuxi Peoples Hosp, Dept Pathol, 299 Qingyang Rd, Wuxi 214023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Min,Fang, Mengjie,Zou, Jian,et al. Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions[J]. EUROPEAN JOURNAL OF RADIOLOGY,2019,114:38-44.
APA Xu, Min.,Fang, Mengjie.,Zou, Jian.,Yang, Shudong.,Yu, Dongdong.,...&Fang, Xiangming.(2019).Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions.EUROPEAN JOURNAL OF RADIOLOGY,114,38-44.
MLA Xu, Min,et al."Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions".EUROPEAN JOURNAL OF RADIOLOGY 114(2019):38-44.

入库方式： OAI收割

来源：自动化研究所

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