Risk stratification of prostate cancer: integrating multiparametric MRI, nomograms and biomarkers

被引：22

作者：

Watson, Matthew J. ^{[1
]}

George, Arvin K. ^{[1
]}

Maruf, Mahir ^{[1
]}

Frye, Thomas P. ^{[1
]}

Muthigi, Akhil ^{[1
]}

Kongnyuy, Michael ^{[1
]}

Valayil, Subin G. ^{[1
]}

Pinto, Peter A. ^{[1
]}

机构：

[1] NCI, Urol Oncol Branch, NIH, Bethesda, MD 20892 USA

来源：

FUTURE ONCOLOGY | 2016年 / 12卷 / 21期

关键词：

biomarkers; multiparametric MRI; nomograms; prostate; prostate cancer; SEMINAL-VESICLE INVASION; PREDICTING EXTRACAPSULAR EXTENSION; RESONANCE-ULTRASOUND FUSION; IMAGE-GUIDED BIOPSY; PELVIC LYMPH-NODES; BIOCHEMICAL RECURRENCE; RADICAL PROSTATECTOMY; ACTIVE SURVEILLANCE; PATHOLOGICAL STAGE; CLINICAL STAGE;

D O I：

10.2217/fon-2016-0178

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Accurate risk stratification of prostate cancer is achieved with a number of existing tools to ensure the identification of at-risk patients, characterization of disease aggressiveness, prediction of cancer burden and extrapolation of treatment outcomes for appropriate management of the disease. Statistical tables and nomograms using classic clinicopathological variables have long been the standard of care. However, the introduction of multiparametric MRI, along with fusion-guided targeted prostate biopsy and novel biomarkers, are being assimilated into clinical practice. The majority of studies to date present the outcomes of each in isolation. The current review offers a critical and objective assessment regarding the integration of multiparametric MRI and fusion-guided prostate biopsy with novel biomarkers and predictive nomograms in contemporary clinical practice.

引用

页码：2417 / 2430

页数：14

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