Predicting prostate cancer risk using magnetic resonance imaging data

被引:6
作者
Anderson, David [1 ]
Golden, Bruce [2 ]
Wasil, Edward [3 ]
Zhang, Hao [4 ]
机构
[1] CUNY Baruch, Zicklin Sch Business, New York, NY 10010 USA
[2] Univ Maryland, Robert H Smith Sch Business, College Pk, MD 20742 USA
[3] Amer Univ, Kogod Sch Business, Washington, DC 20016 USA
[4] Univ Maryland, Sch Med, Baltimore, MD 21201 USA
关键词
Prostate cancer; Magnetic resonance imaging; Diagnostic support tools; DIGITAL RECTAL EXAMINATION; CONTRAST-ENHANCED MRI; ANTIGEN; PSA; BIOPSIES; MEN;
D O I
10.1007/s10257-014-0239-2
中图分类号
F [经济];
学科分类号
02 ;
摘要
We propose a method of diagnosing prostate cancer using magnetic resonance imaging data. Logistic regression and nearest neighbor classification are combined to identify the risk of cancer. Our method performs well, having 79 % predictive accuracy, and an area under the ROC curve of 0.85. It identifies the most aggressive cancers with 82 % accuracy.
引用
收藏
页码:599 / 608
页数:10
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