首页> Abdominal radiology (New York)> A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions.

A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions.

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第一作者： Ying,Hou

第一单位： Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China.

作者： Ying,Hou ^[1] ; Mei-Ling,Bao ^[2] ; Chen-Jiang,Wu ^[1] ; Jing,Zhang ^[1] ; Yu-Dong,Zhang ^[3] ; Hai-Bin,Shi ^[4]

作者单位： Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China. ^[1] Department of Pathology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China. ^[2] Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China. njmu_zyd@163.com. ^[3] Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China. hbshi346@163.com. ^[4]

关键词 Clinically significant prostate cancer Machine learning PI-RADS score 3 Radiomics

医学主题词活组织检查(Biopsy);人类(Humans);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);前列腺肿瘤(Prostatic Neoplasms);回顾性研究(Retrospective Studies)

DOI 10.1007/s00261-020-02678-1

PMID 32740863

发布时间 2021-07-06

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准确一般字义偏差语意偏离译文作用小提交