Correlations between Apparent Diffusion Coefficient and Gleason Score in Prostate Cancer: A Systematic Review

有效扩散系数 医学 前列腺癌 肿瘤科 系统回顾 扩散 癌症 梅德林 内科学 磁共振成像 放射科 政治学 热力学 物理 法学
作者
Alexey Surov,Hans‐Jonas Meyer,Andreas Wienke
出处
期刊:European Urology Oncology [Elsevier BV]
卷期号:3 (4): 489-497 被引量:47
标识
DOI:10.1016/j.euo.2018.12.006
摘要

Reported data regarding the associations between apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) and Gleason score in prostate cancer (PC) are inconsistent. The aim of the present systematic review was to analyze relationships between ADC and Gleason score in PC. MEDLINE library, SCOPUS, and EMBASE databases were screened for relationships between ADC and Gleason score in PC up to April 2018. Overall, 39 studies with 2457 patients were identified. Data on the following parameters were extracted from the literature: number of patients, cancer localization, and correlation coefficients between ADC and Gleason score. Associations between ADC and Gleason score were analyzed by the Spearman's correlation coefficient. In overall sample, the pooled correlation coefficient between ADC and Gleason score was −0.45 (95% confidence interval [CI] = [−0.50; −0.40]). In PC in the transitional zone, the pooled correlation coefficient was −0.22 (95% CI = [−0.47; 0.03]). In PC in the peripheral zone, the pooled correlation coefficient was −0.48 (95% CI = [−0.54; −0.42]). In PC located in the peripheral zone, ADC correlated moderately with Gleason score. In PC located in the transitional zone, ADC correlated weakly with Gleason score. We reviewed studies using apparent diffusion coefficient for the prediction of Gleason score in prostate cancer patients.

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
2秒前
123456完成签到,获得积分10
4秒前
Steven发布了新的文献求助10
6秒前
6秒前
Alexbirchurros完成签到 ,获得积分0
8秒前
wayne完成签到,获得积分10
8秒前
10秒前
科研通AI6.3应助haki采纳,获得30
11秒前
zyy发布了新的文献求助10
11秒前
12秒前
13秒前
迅速沛珊发布了新的文献求助10
13秒前
思源应助123采纳,获得10
14秒前
14秒前
14秒前
15秒前
175完成签到,获得积分10
17秒前
Hello应助研友-wbg-LjbQIL采纳,获得10
17秒前
学学学发布了新的文献求助10
18秒前
lyla发布了新的文献求助10
18秒前
pluto应助迅速沛珊采纳,获得10
19秒前
研友_VZG7GZ应助迅速沛珊采纳,获得10
19秒前
20秒前
清新的易真完成签到,获得积分10
20秒前
钟贵泉发布了新的文献求助10
20秒前
20秒前
21秒前
22秒前
22秒前
科研通AI6.1应助hyhyhyhy采纳,获得10
22秒前
23秒前
乐乐应助wyf采纳,获得10
24秒前
JokerLe发布了新的文献求助10
25秒前
罗ning完成签到,获得积分20
25秒前
太清完成签到,获得积分10
26秒前
123发布了新的文献求助10
26秒前
zyy发布了新的文献求助10
26秒前
27秒前
lchen发布了新的文献求助10
28秒前
ikk发布了新的文献求助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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354016
求助须知:如何正确求助?哪些是违规求助? 8169043
关于积分的说明 17195679
捐赠科研通 5410194
什么是DOI,文献DOI怎么找? 2863904
邀请新用户注册赠送积分活动 1841339
关于科研通互助平台的介绍 1689961