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
猪猪hero应助一方采纳,获得10
刚刚
少吃甜多健身完成签到,获得积分10
1秒前
3秒前
dsgvdf完成签到,获得积分10
5秒前
甜美千山完成签到 ,获得积分10
6秒前
图图发布了新的文献求助10
8秒前
ma完成签到 ,获得积分10
10秒前
zhu完成签到,获得积分10
12秒前
识字岭的岭应助STKAI采纳,获得10
13秒前
平常的亦绿完成签到,获得积分10
17秒前
STKAI完成签到,获得积分20
20秒前
张翊心发布了新的文献求助10
21秒前
hqz完成签到,获得积分10
22秒前
月亮啊完成签到,获得积分10
26秒前
26秒前
27秒前
Xulyun完成签到 ,获得积分10
30秒前
9527完成签到,获得积分10
31秒前
刘丽丹发布了新的文献求助10
32秒前
雪芽完成签到,获得积分10
32秒前
蓝天发布了新的文献求助10
32秒前
33秒前
汉堡包应助月亮啊采纳,获得10
34秒前
汪洋发布了新的文献求助20
34秒前
默默善愁发布了新的文献求助10
36秒前
NeoWu完成签到,获得积分10
36秒前
龙仁发布了新的文献求助10
37秒前
Haydeehu完成签到,获得积分10
37秒前
宝贝丫头完成签到,获得积分10
39秒前
ss完成签到,获得积分10
40秒前
40秒前
蟹黄小笼包完成签到 ,获得积分10
43秒前
汪洋完成签到,获得积分10
44秒前
chncng12发布了新的文献求助10
46秒前
古药完成签到,获得积分10
46秒前
47秒前
LH大王发布了新的文献求助10
47秒前
一方完成签到,获得积分20
50秒前
宝贝丫头发布了新的文献求助10
50秒前
Lucas应助袁青寒采纳,获得10
50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
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 6351313
求助须知:如何正确求助?哪些是违规求助? 8165914
关于积分的说明 17184745
捐赠科研通 5407411
什么是DOI,文献DOI怎么找? 2862909
邀请新用户注册赠送积分活动 1840491
关于科研通互助平台的介绍 1689570