Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone

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• 作者：Xiang-ke Niu ; Jun Li ; Susant Kumar Das ; Yan Xiong ; Chao-bing Yang…
• 关键词：Prostate cancer ; Prostate ; specific antigen ; Magnetic Resonance Imaging ; PI ; RADS ; Nomogram
• 刊名：BMC Medical Imaging
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：17
• 期：1
• 全文大小：820KB
• 刊物主题：Imaging / Radiology;
• 出版者：BioMed Central
• ISSN：1471-2342
• 卷排序：17

文摘

BackgroundSince 1980s the application of Prostate specific antigen (PSA) brought the revolution in prostate cancer diagnosis. However, it is important to underline that PSA is not the ideal screening tool due to its low specificity, which leads to the possible biopsy for the patient without High-grade prostate cancer (HGPCa). Therefore, the aim of this study was to establish a predictive nomogram for HGPCa in patients with PSA 4–10 ng/ml based on Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), MRI-based prostate volume (PV), MRI-based PV-adjusted Prostate Specific Antigen Density (adjusted-PSAD) and other traditional classical parameters.