Quantitative Prostate MRI

前列腺癌 磁共振成像 前列腺 有效扩散系数 放射科 定量评估 多参数磁共振成像 定量分析(化学) 医学 内科学 色谱法 风险分析(工程) 癌症 化学
作者
Nicola Schieda,Christopher Lim,Fatemeh Zabihollahy,Jorge Abreu‐Gomez,Satheesh Krishna,Sungmin Woo,Gerd Melkus,Eran Ukwatta,Barış Türkbey
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:53 (6): 1632-1645 被引量:45
标识
DOI:10.1002/jmri.27191
摘要

Prostate MRI is reported in clinical practice using the Prostate Imaging and Data Reporting System (PI‐RADS). PI‐RADS aims to standardize, as much as possible, the acquisition, interpretation, reporting, and ultimately the performance of prostate MRI. PI‐RADS relies upon mainly subjective analysis of MR imaging findings, with very few incorporated quantitative features. The shortcomings of PI‐RADS are mainly: low‐to‐moderate interobserver agreement and modest accuracy for detection of clinically significant tumors in the transition zone. The use of a more quantitative analysis of prostate MR imaging findings is therefore of interest. Quantitative MR imaging features including: tumor size and volume, tumor length of capsular contact, tumor apparent diffusion coefficient (ADC) metrics, tumor T 1 and T 2 relaxation times, tumor shape, and texture analyses have all shown value for improving characterization of observations detected on prostate MRI and for differentiating between tumors by their pathological grade and stage. Quantitative analysis may therefore improve diagnostic accuracy for detection of cancer and could be a noninvasive means to predict patient prognosis and guide management. Since quantitative analysis of prostate MRI is less dependent on an individual users' assessment, it could also improve interobserver agreement. Semi‐ and fully automated analysis of quantitative (radiomic) MRI features using artificial neural networks represent the next step in quantitative prostate MRI and are now being actively studied. Validation, through high‐quality multicenter studies assessing diagnostic accuracy for clinically significant prostate cancer detection, in the domain of quantitative prostate MRI is needed. This article reviews advances in quantitative prostate MRI, highlighting the strengths and limitations of existing and emerging techniques, as well as discussing opportunities and challenges for evaluation of prostate MRI in clinical practice when using quantitative assessment. Level of Evidence 5 Technical Efficacy Stage 2
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
苹果完成签到,获得积分20
刚刚
yy发布了新的文献求助10
刚刚
maizhan完成签到,获得积分10
2秒前
默认用户名完成签到,获得积分10
3秒前
4秒前
leei完成签到,获得积分10
5秒前
meng123发布了新的文献求助10
5秒前
小马甲应助c123采纳,获得10
6秒前
莎莎士比亚完成签到,获得积分10
8秒前
LOST完成签到 ,获得积分10
8秒前
9秒前
袁凯文发布了新的文献求助10
9秒前
共享精神应助老菜鸟321采纳,获得10
9秒前
WUWEI发布了新的文献求助10
10秒前
xiaoW完成签到,获得积分10
10秒前
12秒前
牛太虚完成签到,获得积分10
12秒前
SciGPT应助科多兽骑士采纳,获得10
12秒前
14秒前
gjm完成签到,获得积分10
14秒前
SciGPT应助zj采纳,获得10
15秒前
Ava应助阿湫采纳,获得10
15秒前
meng123完成签到,获得积分20
16秒前
x5kyi完成签到,获得积分10
17秒前
爆米花应助肖遥采纳,获得10
18秒前
Xx完成签到,获得积分10
18秒前
18秒前
21秒前
烟里戏完成签到 ,获得积分10
23秒前
shuangfeng1853完成签到 ,获得积分10
23秒前
林子青发布了新的文献求助10
23秒前
24秒前
aa完成签到,获得积分10
24秒前
CXC完成签到,获得积分10
24秒前
26秒前
Zzz发布了新的文献求助10
26秒前
上官若男应助袁凯文采纳,获得10
27秒前
27秒前
褚晣完成签到,获得积分10
27秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038524
求助须知:如何正确求助?哪些是违规求助? 3576221
关于积分的说明 11374737
捐赠科研通 3305912
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892688
科研通“疑难数据库(出版商)”最低求助积分说明 815048