Quantification of myocardial blood flow with dynamic perfusion 3.0 Tesla MRI: Validation with 15o‐water PET

作者
Yuuki Tomiyama,Osamu Manabe,Noriko Oyama‐Manabe,Masanao Naya,Hiroyuki Sugimori,Kenji Hirata,Yuki Mori,Hiroyuki Tsutsui,Kohsuke Kudo,Nagara Tamaki,Chietsugu Katoh
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:42 (3): 754-762 被引量:31
标识
DOI:10.1002/jmri.24834
摘要

BACKGROUND: To develop and validate a method for quantifying myocardial blood flow (MBF) using dynamic perfusion magnetic resonance imaging (MBFMRI ) at 3.0 Tesla (T) and compare the findings with those of (15) O-water positron emission tomography (MBFPET ). METHODS: Twenty healthy male volunteers underwent magnetic resonance imaging (MRI) and (15) O-water positron emission tomography (PET) at rest and during adenosine triphosphate infusion. The single-tissue compartment model was used to estimate the inflow rate constant (K1). We estimated the extraction fraction of Gd-DTPA using K1 and MBF values obtained from (15) O-water PET for the first 10 subjects. For validation, we calculated MBFMRI values for the remaining 10 subjects and compared them with the MBFPET values. In addition, we compared MBFMRI values of 10 patients with coronary artery disease with those of healthy subjects. RESULTS: The mean resting and stress MBFMRI values were 0.76 ± 0.10 and 3.04 ± 0.82 mL/min/g, respectively, and showed excellent correlation with the mean MBFPET values (r = 0.96, P < 0.01). The mean stress MBFMRI value was significantly lower for the patients (1.92 ± 0.37) than for the healthy subjects (P < 0.001). CONCLUSION: The use of dynamic perfusion MRI at 3T is useful for estimating MBF and can be applied for patients with coronary artery disease.

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
华仔应助anmu采纳,获得10
1秒前
李健应助ZAC采纳,获得10
2秒前
绝望了发布了新的文献求助10
2秒前
majorday发布了新的文献求助10
5秒前
科研通AI6.2应助无名采纳,获得10
5秒前
Iloveyou发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
7秒前
落寞的剑身完成签到,获得积分10
7秒前
8秒前
宇文天思发布了新的文献求助10
9秒前
丘比特应助seeyou采纳,获得10
9秒前
10秒前
11秒前
liyuanyuan发布了新的文献求助10
11秒前
ikun发布了新的文献求助10
11秒前
NexusExplorer应助anwen采纳,获得30
12秒前
呃呃呃完成签到,获得积分10
13秒前
liubowen发布了新的文献求助20
13秒前
14秒前
刘小毛完成签到,获得积分10
14秒前
绝望了完成签到,获得积分10
15秒前
田様应助科研通管家采纳,获得10
16秒前
16秒前
酷波er应助科研通管家采纳,获得10
17秒前
ding应助科研通管家采纳,获得10
17秒前
Siri应助科研通管家采纳,获得10
17秒前
彭于晏应助科研通管家采纳,获得10
17秒前
17秒前
17秒前
烟花应助科研通管家采纳,获得10
17秒前
Latti发布了新的文献求助10
18秒前
Lucas应助科研通管家采纳,获得10
18秒前
猫白白白发布了新的文献求助10
18秒前
传奇3应助科研通管家采纳,获得10
18秒前
单薄的惜儿完成签到,获得积分10
18秒前
秋lll完成签到,获得积分10
18秒前
大模型应助科研通管家采纳,获得10
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576852
求助须知:如何正确求助?哪些是违规求助? 9156487
关于积分的说明 19588700
捐赠科研通 7160673
什么是DOI,文献DOI怎么找? 3265177
关于科研通互助平台的介绍 2430231
邀请新用户注册赠送积分活动 2255758