Preoperative Multiparametric Magnetic Resonance Imaging Predicts Biochemical Recurrence in Prostate Cancer after Radical Prostatectomy

被引:33
作者
Ho, Richard [1 ]
Siddiqui, Mohummad M. [1 ,5 ]
George, Arvin K. [1 ]
Frye, Thomas [1 ]
Kilchevsky, Amichai [1 ]
Fascelli, Michele [1 ]
Shakir, Nabeel A. [1 ]
Chelluri, Raju [1 ]
Abboud, Steven F. [1 ]
Walton-Diaz, Annerleim [1 ]
Sankineni, Sandeep [2 ]
Merino, Maria J. [3 ]
Turkbey, Baris [2 ]
Choyke, Peter L. [2 ]
Wood, Bradford J. [4 ]
Pinto, Peter A. [1 ]
机构
[1] NCI, Urol Oncol Branch, NIH, Bethesda, MD 20892 USA
[2] NCI, Mol Imaging Program, NIH, Bethesda, MD 20892 USA
[3] NCI, Pathol Lab, NIH, Bethesda, MD 20892 USA
[4] NCI, Ctr Intervent Oncol, NIH, Bethesda, MD 20892 USA
[5] Univ Maryland, Dept Surg, Div Urol, Baltimore, MD 21201 USA
来源
PLOS ONE | 2016年 / 11卷 / 06期
基金
美国国家卫生研究院;
关键词
ANTIGEN RECURRENCE; RISK; GUIDELINES; OUTCOMES; UTILITY; BIOPSY; MRI;
D O I
10.1371/journal.pone.0157313
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives To evaluate the utility of preoperative multiparametric magnetic resonance imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical prostatectomy (RP). Materials/Methods From March 2007 to January 2015, 421 consecutive patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to identify clinical and imaging variables predictive of BCR. Logistic regression was performed to generate a nomogram to predict three-year BCR probability. Results Of the total cohort, 370 patients met inclusion criteria with 39 (10.5%) patients experiencing BCR. On multivariate analysis, preoperative prostate-specific antigen (PSA) (p = 0.01), biopsy Gleason score (p = 0.0008), MP-MRI suspicion score (p = 0.03), and extracapsular extension on MP-MRI (p = 0.03) were significantly associated with time to BCR. A nomogram integrating these factors to predict BCR at three years after RP demonstrated a c-index of 0.84, outperforming the predictive value of Gleason score and PSA alone (c-index 0.74, p = 0.02). Conclusion The addition of MP-MRI to standard clinical factors significantly improves prediction of BCR in a post-prostatectomy PCa cohort. This could serve as a valuable tool to support clinical decision-making in patients with moderate and high-risk cancers.
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页数:13
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