Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis

医学 前列腺癌 前列腺 荟萃分析 置信区间 活检 磁共振成像 分级(工程) 放射科 内科学 前列腺活检 癌症 土木工程 工程类
作者
Niranjan Sathianathen,Altan Omer,Eli Harriss,Lucy Davies,Veeru Kasivisvanathan,Shonit Punwani,Caroline M. Moore,Christof Kastner,Tristan Barrett,Roderick CN van den Bergh,Ben Eddy,Fergus Gleeson,Ruth E. Macpherson,Richard J. Bryant,James W.F. Catto,Declan G. Murphy,Freddie C. Hamdy,Hashim U. Ahmed,Alastair Lamb
出处
期刊:European Urology [Elsevier]
卷期号:78 (3): 402-414 被引量:285
标识
DOI:10.1016/j.eururo.2020.03.048
摘要

: Prebiopsy multiparametric magnetic resonance imaging (mpMRI) is increasingly used in prostate cancer diagnosis. The reported negative predictive value (NPV) of mpMRI is used by some clinicians to aid in decision making about whether or not to proceed to biopsy. : We aim to perform a contemporary systematic review that reflects the latest literature on optimal mpMRI techniques and scoring systems to update the NPV of mpMRI for clinically significant prostate cancer (csPCa). : We conducted a systematic literature search and included studies from 2016 to September 4, 2019, which assessed the NPV of mpMRI for csPCa, using biopsy or clinical follow-up as the reference standard. To ensure that studies included in this analysis reflect contemporary practice, we only included studies in which mpMRI findings were interpreted according to the Prostate Imaging Reporting and Data System (PIRADS) or similar Likert grading system. We define negative mpMRI as either (1) PIRADS/Likert 1–2 or (2) PIRADS/Likert 1–3; csPCa was defined as either (1) Gleason grade group ≥2 or (2) Gleason grade group ≥3. We calculated NPV separately for each combination of negative mpMRI and csPCa. : A total of 42 studies with 7321 patients met our inclusion criteria and were included for analysis. Using definition (1) for negative mpMRI and csPCa, the pooled NPV for biopsy-naïve men was 90.8% (95% confidence interval [CI] 88.1–93.1%). When defining csPCa using definition (2), the NPV for csPCa was 97.1% (95% CI 94.9–98.7%). Calculation of the pooled NPV using definition (2) for negative mpMRI and definition (1) for csPCa yielded the following: 86.8% (95% CI 80.1–92.4%). Using definition (2) for both negative mpMRI and csPCa, the pooled NPV from two studies was 96.1% (95% CI 93.4–98.2%). : Multiparametric MRI of the prostate is generally an accurate test for ruling out csPCa. However, we observed heterogeneity in the NPV estimates, and local institutional data should form the basis of decision making if available. : The negative predictive values should assist in decision making for clinicians considering not proceeding to biopsy in men with elevated age-specific prostate-specific antigen and multiparametric magnetic resonance imaging reported as negative (or equivocal) on Prostate Imaging Reporting and Data System/Likert scoring. Some 7–10% of men, depending on the setting, will miss a diagnosis of clinically significant cancer if they do not proceed to biopsy. Given the institutional variation in results, it is of upmost importance to base decision making on local data if available.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李健应助lay采纳,获得10
1秒前
莫莫完成签到 ,获得积分10
1秒前
雪白的笑萍完成签到 ,获得积分10
2秒前
2秒前
2秒前
4秒前
6秒前
wzzznh发布了新的文献求助10
7秒前
考拉完成签到,获得积分10
7秒前
8秒前
8秒前
干净的琦应助敏感向雪采纳,获得80
9秒前
9秒前
唐亿倩完成签到,获得积分10
10秒前
lu完成签到,获得积分10
11秒前
GYJ发布了新的文献求助10
11秒前
墨白完成签到,获得积分10
12秒前
12秒前
fyq发布了新的文献求助10
12秒前
Miianlli发布了新的文献求助10
13秒前
思源应助yy采纳,获得10
16秒前
仁豪发布了新的文献求助10
17秒前
慧慧慧123完成签到 ,获得积分10
17秒前
junmin发布了新的文献求助10
17秒前
好人完成签到,获得积分10
18秒前
年轻乐巧发布了新的文献求助10
18秒前
34101127发布了新的文献求助30
19秒前
豆腐干地方完成签到,获得积分10
19秒前
21秒前
22秒前
23秒前
23秒前
24秒前
科目三应助舒适路人采纳,获得10
24秒前
bkagyin应助chuchu采纳,获得10
24秒前
破茧完成签到,获得积分10
24秒前
ZjieY发布了新的文献求助10
25秒前
27秒前
尼古拉斯完成签到,获得积分10
27秒前
小慧儿完成签到 ,获得积分10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6023152
求助须知:如何正确求助?哪些是违规求助? 7647904
关于积分的说明 16171707
捐赠科研通 5171525
什么是DOI,文献DOI怎么找? 2767225
邀请新用户注册赠送积分活动 1750545
关于科研通互助平台的介绍 1637079