CASIA OpenIR  > 中国科学院分子影像重点实验室
Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies
Qi, Yafei1; Zhang, Shuaitong2,3; Wei, Jingwei2,3; Zhang, Gumuyang1; Lei, Jing1; Yan, Weigang4; Xiao, Yu5; Yan, Shuang1; Xue, Huadan1; Feng, Feng1; Sun, Hao1; Tian, Jie2,6,7; Jin, Zhengyu1
发表期刊JOURNAL OF MAGNETIC RESONANCE IMAGING
ISSN1053-1807
2019-12-06
期号页码:10
摘要

Background Whether men with a prostate-specific antigen (PSA) level of 4-10 ng/mL should be recommended for a biopsy is clinically challenging. Purpose To develop and validate a radiomics model based on multiparametric MRI (mp-MRI) in patients with PSA levels of 4-10 ng/mL to predict prostate cancer (PCa) preoperatively and reduce unnecessary biopsies. Study Type Retrospective. Subjects In all, 199 patients with PSA levels of 4-10 ng/mL. Field Strength/Sequence 3T, T-2-weighted, diffusion-weighted, and dynamic contrast-enhanced MRI. Assessment Lesion regions of interest (ROIs) from T-2-weighted, diffusion-weighted, and dynamic contrast-enhanced MRI were annotated by two radiologists. A total of 2104 radiomic features were extracted from the ROI of each patient. A random forest classifier was used to build the radiomics model for PCa in the primary cohort. A combined model was constructed using multivariate logistic regression by incorporating the radiomics signature and clinical-radiological risk factors. Statistical Tests For continuous variables, variance equality was assessed by Levene's test and Student's t-test, and Welch's t-test was used to assess between-group differences. For categorical variables, Pearson's chi-square test, Fisher's exact test, or the approximate chi-square test was used to assess between-group differences. P < 0.05 was considered statistically significant. Results The combined model incorporating the multi-imaging fusion model, age, PSA density (PSAD), and the PI-RADS v2 score yielded area under the curve (AUC) values of 0.956 and 0.933 on the primary (n = 133) and validation (n = 66) cohorts, respectively. Compared with the clinical-radiological model, the combined model performed better on both the primary and validation cohorts (P < 0.05). Furthermore, the use of the combined model to predict PCa could identify more negative PCa patients than the use of the clinical-radiological model by 18.4%. Data Conclusion The combined model was developed and validated to provide potential preoperative prediction of PCa in men with PSA levels of 4-10 ng/mL and might aid in treatment decision-making and reduce unnecessary biopsies. Level of Evidence: 3 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2019.

关键词magnetic resonance imaging radiomics prostate cancer prostate-specific antigen biopsy
DOI10.1002/jmri.27008
关键词[WOS]HEALTH INDEX ; ASIAN MEN ; VALIDATION ; TRANSITION ; GUIDELINES ; FEATURES ; SYSTEM ; URINE ; GRADE
收录类别SCI
语种英语
资助项目Central University Basic Scientific Research Business Expenses Special Funds[3332018022] ; Natural Science Foundation of Beijing Municipality[7192176] ; National Public Welfare Basic Scientific Research Project of Chinese Academy of Medical Sciences[2019PT320008] ; National Public Welfare Basic Scientific Research Project of Chinese Academy of Medical Sciences[2018PT32003] ; National Natural Science Foundation of China[91859119] ; National Key Research and Development Program of China[2017YFC1308700] ; National Key Research and Development Program of China[2017YFA0205200] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81501616] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2017YFC1308700] ; National Natural Science Foundation of China[91859119] ; National Public Welfare Basic Scientific Research Project of Chinese Academy of Medical Sciences[2018PT32003] ; National Public Welfare Basic Scientific Research Project of Chinese Academy of Medical Sciences[2019PT320008] ; Natural Science Foundation of Beijing Municipality[7192176] ; Central University Basic Scientific Research Business Expenses Special Funds[3332018022]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
WOS类目Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000500863800001
出版者WILEY
七大方向——子方向分类医学影像处理与分析
引用统计
被引频次:48[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/173211/29352
专题中国科学院分子影像重点实验室
通讯作者Sun, Hao; Tian, Jie; Jin, Zhengyu
作者单位1.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Radiol, 1 Shuaifuyuan, Beijing 100730, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Med Sci, Dept Urol, Peking Union Med Coll Hosp, Beijing, Peoples R China
5.Chinese Acad Med Sci, Dept Pathol, Peking Union Med Coll Hosp, Beijing, Peoples R China
6.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
7.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
通讯作者单位中国科学院分子影像重点实验室
推荐引用方式
GB/T 7714
Qi, Yafei,Zhang, Shuaitong,Wei, Jingwei,et al. Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2019(0):10.
APA Qi, Yafei.,Zhang, Shuaitong.,Wei, Jingwei.,Zhang, Gumuyang.,Lei, Jing.,...&Jin, Zhengyu.(2019).Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies.JOURNAL OF MAGNETIC RESONANCE IMAGING(0),10.
MLA Qi, Yafei,et al."Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies".JOURNAL OF MAGNETIC RESONANCE IMAGING .0(2019):10.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
jmri.27008 (1).pdf(990KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qi, Yafei]的文章
[Zhang, Shuaitong]的文章
[Wei, Jingwei]的文章
百度学术
百度学术中相似的文章
[Qi, Yafei]的文章
[Zhang, Shuaitong]的文章
[Wei, Jingwei]的文章
必应学术
必应学术中相似的文章
[Qi, Yafei]的文章
[Zhang, Shuaitong]的文章
[Wei, Jingwei]的文章
相关权益政策
暂无数据
收藏/分享
文件名: jmri.27008 (1).pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。