Suppr超能文献

[用于局限性前列腺癌初始诊断的影像学检查]

[Imaging for initial diagnosis of localized prostate cancer].

作者信息

Bonekamp D, Salomon G

机构信息

Abteilung für Radiologie (E010), Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.

Martini-Klinik, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Deutschland.

出版信息

Urologe A. 2019 May;58(5):494-503. doi: 10.1007/s00120-019-0901-x.

Abstract

The initial diagnosis of prostate cancer has been traditionally performed using systematic core biopsies with the use of magnetic resonance imaging (MRI) reserved to problem-solving scenarios. There is currently an ongoing paradigm shift towards the use of MRI prior to targeted biopsy as the standard approach. Prostate cancer therefore does not remain the last solid tumor entity diagnosed by non-targeted techniques but joins other solid tumor entities for which targeted diagnostic approaches have existed for a while. However, the complexity of the background tissue signal in the prostate makes lesion detection challenging. This article will provide an overview of the components of multiparametric prostate MRI and their interpretation using structured interpretation according to the current PI-RADSv2 (Prostate Imaging Reporting and Data System version 2) guidelines and of novel ultrasound techniques for primary diagnosis.

摘要

传统上,前列腺癌的初步诊断是通过系统的核心活检进行的,磁共振成像(MRI)仅用于解决问题的情况。目前正发生一种范式转变,即把MRI用于靶向活检之前作为标准方法。因此,前列腺癌不再是最后一个通过非靶向技术诊断的实体瘤,而是加入了其他早就有靶向诊断方法的实体瘤行列。然而,前列腺背景组织信号的复杂性使得病变检测具有挑战性。本文将概述多参数前列腺MRI的组成部分,以及根据当前的PI-RADSv2(前列腺影像报告和数据系统第2版)指南使用结构化解释对其进行的解读,还将概述用于初步诊断的新型超声技术。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验