Multiparametric magnetic resonance imaging of the prostate-a basic tutorial.
Multiparametric magnetic resonance imaging of the prostate-a basic tutorial.
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前列腺多参数磁共振成像 - 基础教程。
DOI：
10.21037/tau.2017.01.06
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发表时间：
2017-06
影响因子：
2
通讯作者：
Westphalen AC
中科院分区：
文献类型：
--
作者：
Cabarrus MC;Westphalen AC
前列腺癌是美国癌症相关死亡的第二大常见原因，也是男性中最常诊断的恶性肿瘤。一般来说，前列腺癌生长缓慢，但有一个广泛的疾病，可能是惰性的，或侵略性和快速进展。前列腺的筛查是有争议的，由于缺乏特异性和过度诊断临床上不重要的癌症而变得复杂。成像在前列腺癌的诊断中发挥了作用，主要是通过系统性经直肠超声（TRUS）引导活检。虽然TRUS引导活检从根本上改变了前列腺癌的诊断，但它仍然受到分辨率低、组织表征差、灵敏度相对较低和阳性预测值相对较低的限制。多参数磁共振成像（mpMRI）的进步使其能够更准确地检测、定位和分期，并有助于主动监测（AS）。mpMRI用于评估前列腺癌的使用已大幅增加，随着该技术的快速改进及其应用的扩展，这一趋势可能会继续下去。本文的目的是回顾前列腺mpMRI的基本原理及其临床应用，将在本期的后续章节中进行更详细的回顾。
Prostate cancer is the second most common cause of cancer related death in the United States and the most commonly diagnosed malignancy in men. In general, prostate cancer is slow growing, though there is a broad spectrum of disease that may be indolent, or aggressive and rapidly progressive. Screening for prostate is controversial and complicated by lack of specificity and over diagnosis of clinically insignificant cancer. Imaging has played a role in diagnosis of prostate cancer, primarily through systemic transrectal ultrasound (TRUS) guided biopsy. While TRUS guided biopsy radically changed prostate cancer diagnosis, it still remains limited by low resolution, poor tissue characterization, relatively low sensitivity and positive predictive value. Advances in multiparametric magnetic resonance imaging (mpMRI) have allowed more accurate detection, localization, and staging as well as aiding in the role of active surveillance (AS). The use of mpMRI for the evaluation of prostate cancer has increased dramatically and this trend is likely to continue as the technique is rapidly improving and its applications expand. The purpose of this article is to review the basic principles of mpMRI of the prostate and its clinical applications, which will be reviewed in greater detail in subsequent chapters of this issue.
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影响因子：
2
作者：
Radtke JP;Teber D;Hohenfellner M;Hadaschik BA
通讯作者：
Hadaschik BA
影响因子：
5
作者：
Rosenkrantz, Andrew B.;Kim, Sooah;Taneja, Samir S.
通讯作者：
Taneja, Samir S.
影响因子：
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作者：
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通讯作者：
Gualdi, Gian Franco
影响因子：
4.4
作者：
Langer, Deanna L.;van der Kwast, Theodorus H.;Haider, Masoom A.
通讯作者：
Haider, Masoom A.
影响因子：
2.1
作者：
Acar, Omer;Esen, Tarik;Rozanes, Izzet
通讯作者：
Rozanes, Izzet